Data Science & AI Research Skills
794 data science, AI research, and analysis skills for coding agents. Data pipeline, ML model dev, statistical analysis - pre-verified and MCP-ready.
Clinpgx Database
Access ClinPGx pharmacogenomics data (successor to PharmGKB). Query gene-drug interactions, CPIC guidelines, allele functions, for precision medicine and genotype-guided dosing decisions.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/clinpgx-database
Clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
by NousResearch/hermes-agent / optional-skills/mlops/clip
Clipboard Skill
Copies track content (lyrics, style prompts, streaming lyrics) to the system clipboard. Use when the user needs to paste lyrics or style prompts into Suno or other external tools.
by bitwize-music-studio/claude-ai-music-skills / skills/clipboard
COBRApy - Constraint-Based Reconstruction and Analysis
Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis.
by K-Dense-AI/scientific-agent-skills / scientific-skills/cobrapy
Cohort Analysis
Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.
by phuryn/pm-skills / pm-data-analytics/skills/cohort-analysis
Comet Opik
Unified Comet Opik agent for instrumenting LLM apps, managing prompts/projects, auditing prompts, and investigating traces/metrics via the latest Opik MCP server.
by github/awesome-copilot / agents/comet-opik.agent.md
Comm Lit Review
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary.
by wanshuiyin/Auto-claude-code-research-in-sleep / skills/skills-codex/comm-lit-review
Comm Lit Review Claude Single
Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary.
by wanshuiyin/Auto-claude-code-research-in-sleep / skills/comm-lit-review
Company Valuation
Estimate the intrinsic value of a public company using DCF, relative (peer multiple) and sum-of-parts (SOTP) methods, then triangulate to an implied share price with upside/downside versus the current market price. Use this skill whenever the user asks: "what is AAPL worth", "valuation of NVDA", "fair value of TSLA", "intrinsic value", "DCF for MSFT", "build a DCF", "discounted cash flow", "WACC", "terminal value", "implied share price", "upside to fair value", "is X overvalued/undervalued", "relative valuation", "peer comparison valuation", "EV/EBITDA target", "SOTP", "sum of the parts", "how much is [company] worth", "price target from fundamentals", "value this company", or any ticker in the context of computing intrinsic or relative valuation. Default to running ALL three methods (DCF + relative + SOTP-if-applicable) and presenting a blended implied price with a sensitivity table. Do not answer valuation questions from memory — always run the workflow.
by himself65/finance-skills / plugins/market-analysis/skills/company-valuation
Compare Models
Compare Replicate models by cost, speed, quality, and capabilities.
by replicate/skills / skills/compare-models
Comprehensive Research Agent
Ensure thorough validation, error recovery, and transparent reasoning in research tasks with multiple tool calls
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/comprehensive-research-agent
Consciousness Council
Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.
by K-Dense-AI/scientific-agent-skills / scientific-skills/consciousness-council
Constitutional AI
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.
by Orchestra-Research/AI-Research-SKILLs / 07-safety-alignment/constitutional-ai
Content Experimentation Best Practices
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
by sanity-io/agent-toolkit / skills/content-experimentation-best-practices
Content Modeling Best Practices
Structured content modeling guidance for schema design, content architecture, content reuse, references versus embedded objects, separation of concerns, and taxonomies across Sanity and other headless CMSes. Use this skill when designing or refactoring content types, deciding field shapes, debating reusable versus nested content, planning omnichannel content models, or reviewing whether a schema is too page-shaped or presentation-driven.
by sanity-io/agent-toolkit / skills/content-modeling-best-practices
Context Engineering Fundamentals
This skill should be used when the user asks to "understand context", "explain context windows", "design agent architecture", "debug context issues", "optimize context usage", or discusses context components, attention mechanics, progressive disclosure, or context budgeting. Provides foundational understanding of context engineering for AI agent systems.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/context-fundamentals
Continual Learning
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for agents.
by microsoft/skills / .github/skills/continual-learning
Copilot Prompt Files Guidelines
Guidelines for creating high-quality prompt files for GitHub Copilot
by github/awesome-copilot / instructions/prompt.instructions.md
Creating Data Visualizations
Create analytical charts and plots from existing data. Use for exploratory or reporting visuals such as bars, lines, scatters, and dashboards; not for publication-grade scientific figures or AI-generated schematics.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/creating-data-visualizations
Creating Mermaid Dbt Dag
Generates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks. Use when visualizing dbt model lineage and dependencies as a Mermaid diagram in markdown format.
by dbt-labs/dbt-agent-skills / skills/dbt-extras/skills/creating-mermaid-dbt-dag
Creative Thinking For Research
Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.
by Orchestra-Research/AI-Research-SKILLs / 21-research-ideation/creative-thinking-for-research
Cre Document Ingestion
CRE Document Ingestion suite — 4 specialist skills for classifying and extracting structured data from deal documents including rent rolls, T-12 financials, and offering memoranda.
by ahacker-1/cre-agent-skills / claude-code-plugins/cre-document-ingestion
Critical thinking mode instructions
Challenge assumptions and encourage critical thinking to ensure the best possible solution and outcomes.
by github/awesome-copilot / agents/critical-thinking.agent.md
Crypto Report
Analyze cryptocurrency projects with tokenomics, on-chain metrics, and market analysis. Generate comprehensive crypto research reports.
by claude-office-skills/skills / crypto-report
Customer Research
Multi-source research on a customer question or topic with source attribution. Use when a customer asks something you need to look up, investigating whether a bug has been reported before, checking what was previously told to a specific account, or gathering background before drafting a response.
by anthropics/knowledge-work-plugins / customer-support/skills/customer-research
Customize
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
by microsoft/skills / .github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/customize
CZ CELLxGENE Census
Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.
by K-Dense-AI/scientific-agent-skills / scientific-skills/cellxgene-census
Dask
Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/dask
Data Analysis
Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
by claude-office-skills/skills / data-analysis
Database Lookup
Deterministically query 78 public scientific, biomedical, materials science, regulatory, finance, and demographics databases through documented REST APIs. Use for reproducible lookups of compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, structures, astronomy objects, environmental records, or database-backed scientific facts when endpoints, filters, pagination, and provenance need to be explicit.
by K-Dense-AI/scientific-agent-skills / skills/database-lookup
Database Lookup
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, ZINC, BindingDB), materials (Materials Project, COD), biology/genomics (Reactome, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, BioGRID, Gene Ontology, dbSNP, gnomAD, ENCODE, Human Protein Atlas, Human Cell Atlas), disease/clinical (COSMIC, Open Targets, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, World Bank, US Treasury), demographics (US Census, Eurostat, WHO). Use when looking up compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, or any public database API query.
by K-Dense-AI/scientific-agent-skills / scientific-skills/database-lookup
Database Optimizer
Optimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.
by Jeffallan/claude-skills / skills/database-optimizer
Database Sync
Automate database synchronization, replication, migration, and cross-platform data integration
by claude-office-skills/skills / database-sync
Datacommons Client
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/datacommons-client
Data Extractor
>
by claude-office-skills/skills / data-extractor
Datamol Cheminformatics Skill
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.
by K-Dense-AI/scientific-agent-skills / scientific-skills/datamol
Datanalysis Credit Risk
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
by github/awesome-copilot / skills/datanalysis-credit-risk
Data Pipeline
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
by claude-office-skills/skills / data-pipeline
Data Preprocessing Pipeline
Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/preprocessing-data-with-automated-pipelines
Data Quality Checker
Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures), instrument notation errors, date/day-of-week mismatches, allocation total errors, and unit mismatches. Supports English and Japanese content. Advisory mode -- flags issues as warnings for human review, not as blockers.
by tradermonty/claude-trading-skills / skills/data-quality-checker
Data Quality Frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/data-quality-frameworks
Data Quality Frameworks
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
by wshobson/agents / plugins/data-engineering/skills/data-quality-frameworks
Dataset Splitter
Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Use as a narrow preprocessing helper once the broader ML workflow is already chosen, not as the main route owner for an end-to-end ML task.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/splitting-datasets
Dataverse SDK for Python - Advanced Features Guide
Comprehensive guide to advanced Dataverse SDK features including enums, complex filtering, SQL queries, metadata operations, and production patterns. Based on official Microsoft walkthrough examples.
by github/awesome-copilot / instructions/dataverse-python-advanced-features.instructions.md
Dataverse SDK for Python — API Reference Guide
Main client for interacting with Dataverse. Initialize with base URL and Azure credentials.
by github/awesome-copilot / instructions/dataverse-python-api-reference.instructions.md
Dataverse SDK for Python — Complete Module Reference
PowerPlatform.Dataverse ├── client │ └── DataverseClient ├── core │ ├── config (DataverseConfig) │ └── errors (DataverseError, ValidationError, MetadataError, HttpError, SQLParseError) ├── data (OData operations, metadata, SQL, file upload) ├── extensions (placeholder for future extensions) ├── models (placeholder for data models and types) └── utils (placeholder for utilities and adapters)
by github/awesome-copilot / instructions/dataverse-python-modules.instructions.md
Dataverse SDK for Python — Getting Started
- Install the Dataverse Python SDK and prerequisites. - Configure environment variables for Dataverse tenant, client ID, secret, and resource URL. - Use the SDK to authenticate via OAuth and perform CRUD operations.
by github/awesome-copilot / instructions/dataverse-python.instructions.md
Dataverse SDK for Python - Pandas Integration Guide
Guide to integrating the Dataverse SDK for Python with pandas DataFrames for data science and analysis workflows. The SDK's JSON response format maps seamlessly to pandas DataFrames, enabling data scientists to work with Dataverse data using familiar data manipulation tools.
by github/awesome-copilot / instructions/dataverse-python-pandas-integration.instructions.md
Dataverse SDK for Python — Real-World Use Cases & Templates
Based on official Dataverse data migration and integration patterns.
by github/awesome-copilot / instructions/dataverse-python-real-world-usecases.instructions.md
Datavis
Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG. Use when (1) building interactive data visualizations, (2) designing color palettes for charts, (3) choosing scales and visual encodings, (4) creating data pipelines from Census/SEC/Wikipedia APIs, (5) crafting narrative-driven data stories, (6) making perceptually accurate charts, or (7) implementing force-directed networks, timelines, or geographic maps.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/datavis
dbt Transformation Patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
by wshobson/agents / plugins/data-engineering/skills/dbt-transformation-patterns
Deepchem
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
by K-Dense-AI/scientific-agent-skills / skills/deepchem
DeepChem
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
by K-Dense-AI/scientific-agent-skills / scientific-skills/deepchem
Deep Research
Generate format-controlled research reports with evidence tracking, citations, source governance, and multi-pass synthesis. This skill should be used when users request a research report, literature review, market or industry analysis, competitive landscape, policy or technical brief. Triggers: "帮我调研一下", "深度研究", "综述报告", "深入分析", "research this topic", "write a report on", "survey the literature on", "competitive analysis of", "技术选型分析", "竞品研究", "政策分析", "行业报告". V6 adds: source-type governance, AS_OF freshness checks, mandatory counter-review, and citation registry. V6.1 adds: source accessibility (circular verification forbidden, exclusive advantage encouraged).
by daymade/claude-code-skills / deep-research
Deep Research
Multi-source research with source triangulation and fact-checking. Use for any research task requiring 3+ sources.
by firecrawl/web-agent / agent-core/src/skills/definitions/deep-research
Deep Research
Conduct comprehensive research on any topic. Synthesize information from multiple angles, provide structured analysis, and generate detailed research reports.
by claude-office-skills/skills / deep-research
Deepspeed Skill
Expert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attention
by Orchestra-Research/AI-Research-SKILLs / 08-distributed-training/deepspeed
Deeptools
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
by K-Dense-AI/scientific-agent-skills / skills/deeptools
deepTools: NGS Data Analysis Toolkit
NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq visualization.
by K-Dense-AI/scientific-agent-skills / scientific-skills/deeptools
Deepxiv
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.
by wanshuiyin/Auto-claude-code-research-in-sleep / skills/deepxiv
DeepXiv Paper Search & Progressive Reading
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.
by wanshuiyin/Auto-claude-code-research-in-sleep / skills/skills-codex/deepxiv
Denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/denario
Deploy Model
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
by microsoft/skills / .github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model
Depmap
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
by K-Dense-AI/scientific-agent-skills / skills/depmap
DepMap — Cancer Dependency Map
Query the Cancer Dependency Map (DepMap) for cancer cell line gene dependency scores (CRISPR Chronos), drug sensitivity data, and gene effect profiles. Use for identifying cancer-specific vulnerabilities, synthetic lethal interactions, and validating oncology drug targets.
by K-Dense-AI/scientific-agent-skills / scientific-skills/depmap
Designing Experiments
Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or regression discontinuity fits the research question. For fitting models or estimating effects on existing data, use performing-causal-analysis instead.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/designing-experiments
Detecting Data Anomalies
Investigate outliers, rare events, spikes, and suspicious records in datasets. Use as an explicit anomaly-analysis helper when you want concrete anomaly-detection workflow guidance, not generic data validation or end-to-end ML ownership.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/detecting-data-anomalies
Deutsche Bahn
Deutsche Bahn train schedules, journey planning, and departures across Germany and into neighboring countries (Austria, Switzerland, Netherlands, France, Belgium). Use for ICE/IC/regional rail planning and airport ground transport (FRA, MUC).
by borski/travel-hacking-toolkit / plugins/travel-hacking-toolkit/skills/deutsche-bahn
Developer Growth Analysis
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
by davepoon/buildwithclaude / plugins/all-skills/skills/developer-growth-analysis
Dhdna Profiler
Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the author's reasoning patterns, decision-making style, or cognitive signature.
by K-Dense-AI/scientific-agent-skills / skills/dhdna-profiler
DHDNA Profiler — Cognitive Pattern Extraction
Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the author's reasoning patterns, decision-making style, or cognitive signature.
by K-Dense-AI/scientific-agent-skills / scientific-skills/dhdna-profiler
Diagnose
Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
by github/awesome-copilot / skills/diagnose
DiffDock: Molecular Docking with Diffusion Models
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
by K-Dense-AI/scientific-agent-skills / scientific-skills/diffdock
Digikey
Search DigiKey for electronic components and download datasheets — primary source for prototype orders and the preferred API method for fetching datasheets. Find parts by keyword or MPN, check pricing/stock, download datasheets via API, analyze specifications. Sync and maintain a local datasheets directory — extract components from schematics, download missing datasheets, keep them up to date. Also supports batch MPN-list seeding (`--mpn-list`) for bulk workflows without a KiCad project. Use when the user asks about electronic components, part specs, datasheets, pricing, stock, footprints, or needs to download a datasheet — even without mentioning "DigiKey". Also for "sync datasheets", "download datasheets for my board/project", or mentions a datasheets directory. DigiKey is the default distributor for prototyping. For BOM workflows, see the bom skill.
by aklofas/kicad-happy / skills/digikey
Distributed LLM Pretraining Torchtitan
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
by NousResearch/hermes-agent / optional-skills/mlops/torchtitan
Doc Pipeline Skill
Chain document operations into reusable pipelines
by claude-office-skills/skills / doc-pipeline
Domain Creation
Guides you through creating a Honeydew domain — a governance object that scopes entity/field visibility and applies mandatory filters — ideal for setting up contexts for deep analysis.
by honeydew-ai/honeydew-ai-coding-agents-plugins / skills/domain-creation
Doublecheck
Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.
by github/awesome-copilot / skills/doublecheck
Doublecheck
Interactive verification agent for AI-generated output. Runs a three-layer pipeline (self-audit, source verification, adversarial review) and produces structured reports with source links for human review.
by github/awesome-copilot / agents/doublecheck.agent.md
Drug Discovery
Pharmaceutical research assistant for drug discovery workflows. Search bioactive compounds on ChEMBL, calculate drug-likeness (Lipinski Ro5, QED, TPSA, synthetic accessibility), look up drug-drug interactions via OpenFDA, interpret ADMET profiles, and assist with lead optimization. Use for medicinal chemistry questions, molecule property analysis, clinical pharmacology, and open-science drug research.
by NousResearch/hermes-agent / optional-skills/research/drug-discovery
Dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
by Orchestra-Research/AI-Research-SKILLs / 16-prompt-engineering/dspy
DSPy: Declarative Language Model Programming
DSPy: declarative LM programs, auto-optimize prompts, RAG.
by NousResearch/hermes-agent / skills/mlops/research/dspy
Duckduckgo Search
Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Prefer the `ddgs` CLI when installed; use the Python DDGS library only after verifying that `ddgs` is available in the current runtime.
by NousResearch/hermes-agent / optional-skills/research/duckduckgo-search
Earnings Preview
Generate a pre-earnings briefing for any stock using Yahoo Finance data. Use this skill whenever the user wants to prepare for an upcoming earnings report, understand what analysts expect, review a company's beat/miss track record, or get a quick overview before an earnings call. Triggers include: "earnings preview for AAPL", "what to expect from TSLA earnings", "MSFT reports next week", "earnings preview", "pre-earnings analysis", "what are analysts expecting for NVDA", "earnings estimates for", "will GOOGL beat earnings", "earnings beat/miss history", "upcoming earnings", "before earnings", "earnings setup", "consensus estimates", "earnings whisper", "EPS expectations", "what's the street expecting", "earnings season preview", any mention of preparing for or previewing an earnings report, or any request to understand expectations ahead of a company's earnings date. Always use this skill when the user mentions a ticker in context of upcoming earnings, even if they don't say "preview" explicitly.
by himself65/finance-skills / plugins/market-analysis/skills/earnings-preview
Earnings Recap
Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat earnings", "post-earnings analysis", "earnings surprise", "what happened with GOOGL earnings", "earnings reaction", "stock moved after earnings", "EPS beat or miss", "revenue beat or miss", "quarterly results for", "how were earnings", "AMZN reported last night", "earnings call recap", or any request about a company's recent earnings outcome. Use this skill when the user references a past earnings event, even if they just say "AAPL reported" or "how did they do".
by himself65/finance-skills / plugins/market-analysis/skills/earnings-recap
Edge Candidate Agent
Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline Phase I. Use when users ask to turn hypotheses/anomalies into reproducible research tickets, convert validated ideas into `strategy.yaml` + `metadata.json`, or preflight-check interface compatibility (`edge-finder-candidate/v1`) before running pipeline backtests.
by tradermonty/claude-trading-skills / skills/edge-candidate-agent
Edge Concept Synthesizer
Abstract detector tickets and hints into reusable edge concepts with thesis, invalidation signals, and strategy playbooks before strategy design/export.
by tradermonty/claude-trading-skills / skills/edge-concept-synthesizer
Edge Hint Extractor
Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.
by tradermonty/claude-trading-skills / skills/edge-hint-extractor
Edge Signal Aggregator
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
by tradermonty/claude-trading-skills / skills/edge-signal-aggregator
Edge Strategy Designer
Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.
by tradermonty/claude-trading-skills / skills/edge-strategy-designer
Edge Strategy Reviewer
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.
by tradermonty/claude-trading-skills / skills/edge-strategy-reviewer
Elasticsearch Esql
Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.
by elastic/agent-skills / skills/elasticsearch/elasticsearch-esql
Elasticsearch File Ingest
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing and custom transforms. Use when loading files or batch importing data — not for reindexing, general ingest pipeline design, or bulk API patterns.
by elastic/agent-skills / skills/elasticsearch/elasticsearch-file-ingest
Element14
Search Newark, Farnell, and element14 for electronic components — find parts by MPN or distributor part number, check pricing/stock, download datasheets, analyze specifications. One unified API covers all three storefronts (Newark for US, Farnell for UK/EU, element14 for APAC). Free API key, simple query-parameter auth, no OAuth. Datasheets download directly from farnell.com CDN with no bot protection. Sync and maintain a local datasheets directory for a KiCad project, or use batch MPN-list seeding (`--mpn-list`) for bulk workflows without a project. Use this skill when the user mentions Newark, Farnell, element14, needs parts from a non-US distributor, wants to compare pricing across regions, or needs datasheets from a source that doesn't require complex API auth. For package cross-reference tables and BOM workflow, see the `bom` skill.
by aklofas/kicad-happy / skills/element14
Embedding Strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
by wshobson/agents / plugins/llm-application-dev/skills/embedding-strategies
Embedding Strategies
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/embedding-strategies
Entity Creation
Guides you through defining a new Honeydew entity from a data warehouse source — covering source type, granularity key, and initial attribute mapping — then pushes to Honeydew via the MCP tools.
by honeydew-ai/honeydew-ai-coding-agents-plugins / skills/entity-creation
ESM: Evolutionary Scale Modeling
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
by K-Dense-AI/scientific-agent-skills / scientific-skills/esm
Estimate Analysis
Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data. Use when the user wants to understand analyst estimate direction, how EPS or revenue forecasts changed over time, compare estimate distributions, or analyze growth projections across periods. Triggers: "estimate analysis for AAPL", "analyst estimate trends for NVDA", "EPS revisions for TSLA", "how have estimates changed for MSFT", "estimate revisions", "EPS trend", "revenue estimates", "consensus changes", "analyst estimates", "estimate distribution", "growth estimates for", "estimate momentum", "revision trend", "forward estimates", "next quarter estimates", "annual estimates", "estimate spread", "bull vs bear estimates", "estimate range", or any request about tracking or comparing analyst estimates/revisions. Use this skill when the user asks about estimates beyond a simple lookup — if they want context, trends, or analysis, this is the right skill.
by himself65/finance-skills / plugins/market-analysis/skills/estimate-analysis
Etf Premium
Calculate ETF premium/discount vs NAV via Yahoo Finance, and decompose single-day surges into NAV-driven vs structural components (gamma squeeze, dealer hedging, blocked AP arbitrage). Use whenever the user asks about an ETF's premium or discount, NAV comparison, why an ETF diverged from its holdings, or how much of a move is dealer-hedging-driven. Triggers: "ETF premium", "ETF discount", "NAV premium", "is SPY at a premium", "BITO premium", "IBIT premium", "bond ETF discount", "trading above/below NAV", "ETF premium screener", "biggest discount", "compare ETF NAV", "ETF arbitrage", "ETF gamma squeeze", "ETF premium surge", "decompose ETF move", "dealer gamma exposure", "GEX for ETF", "why did this ETF jump", "premium convergence", "AP arbitrage blocked", or any request about the gap between an ETF's price and underlying value. Especially relevant for leveraged, inverse, international, bond, commodity, and crypto ETFs.
by himself65/finance-skills / plugins/market-analysis/skills/etf-premium