Skill Catalog
Browse 5,478 curated AI agent skills. No account needed.
Python Notebook Sample Builder
Custom agent for building Python Notebooks in VS Code that demonstrate Azure and AI features
by github/awesome-copilot / agents/python-notebook-sample-builder.agent.md
Python Observability
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting up tracing, or debugging production systems.
by wshobson/agents / plugins/python-development/skills/python-observability
Python Observability Skill
Python Observability Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
by julianobarbosa/claude-code-skills / skills/python-observability-skill
Python Packaging
Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.
by wshobson/agents / plugins/python-development/skills/python-packaging
Python Performance Optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
by wshobson/agents / plugins/python-development/skills/python-performance-optimization
Python Pro
Use when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.
by Jeffallan/claude-skills / skills/python-pro
Python Project Skill
Python Project Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
by julianobarbosa/claude-code-skills / skills/python-project-skill
Python Project Structure
Python project organization, module architecture, and public API design. Use when setting up new projects, organizing modules, defining public interfaces with __all__, or planning directory layouts.
by wshobson/agents / plugins/python-development/skills/python-project-structure
Python Pypi Package Builder
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.
by github/awesome-copilot / skills/python-pypi-package-builder
Python Resilience
Python resilience patterns including automatic retries, exponential backoff, timeouts, and fault-tolerant decorators. Use when adding retry logic, implementing timeouts, building fault-tolerant services, or handling transient failures.
by wshobson/agents / plugins/python-development/skills/python-resilience
Python Resilience Skill
Python Resilience Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
by julianobarbosa/claude-code-skills / skills/python-resilience-skill
Python Resource Management
Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.
by julianobarbosa/claude-code-skills / skills/python-resource-management
Python Resource Management
Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.
by wshobson/agents / plugins/python-development/skills/python-resource-management
Python Resource Management Skill
Python Resource Management Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
by julianobarbosa/claude-code-skills / skills/python-resource-management-skill
Python Testing Patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
by wshobson/agents / plugins/python-development/skills/python-testing-patterns
Python Type Safety
Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.
by wshobson/agents / plugins/python-development/skills/python-type-safety
Python Type Safety Skill
Python Type Safety Skill linked from Juliano Barbosa Claude Code Skills, with the upstream skill instructions available on GitHub.
by julianobarbosa/claude-code-skills / skills/python-type-safety-skill
Python unittest Skill
Generates Python unittest tests. Built-in testing framework with TestCase, setUp/tearDown, and assertion methods. Use when user mentions "unittest", "TestCase", "self.assertEqual", "Python unittest". Triggers on: "unittest", "TestCase", "self.assertEqual", "Python unittest" (not pytest).
by LambdaTest/agent-skills / unittest-skill
Pytorch Fsdp2
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.
by Orchestra-Research/AI-Research-SKILLs / 08-distributed-training/pytorch-fsdp2
Pytorch-Fsdp Skill
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU offloading, FSDP2
by NousResearch/hermes-agent / optional-skills/mlops/pytorch-fsdp
PyTorch Geometric (PyG)
Guide for building Graph Neural Networks with PyTorch Geometric (PyG). Use this skill whenever the user asks about graph neural networks, GNNs, node classification, link prediction, graph classification, message passing networks, heterogeneous graphs, neighbor sampling, or any task involving torch_geometric / PyG. Also trigger when you see imports from torch_geometric, or the user mentions graph convolutions (GCN, GAT, GraphSAGE, GIN), graph data structures, or working with relational/network data. Even if the user just says 'graph learning' or 'geometric deep learning', use this skill.
by K-Dense-AI/scientific-agent-skills / scientific-skills/torch-geometric
PyTorch Lightning
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/pytorch-lightning
PyTorch Lightning - High-Level Training Framework
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
by NousResearch/hermes-agent / optional-skills/mlops/pytorch-lightning
Pyvene Interventions
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.
by Orchestra-Research/AI-Research-SKILLs / 04-mechanistic-interpretability/pyvene
Pyvista Visualization
Create 3D visualizations of velocity fields and pump CFD results
by Soljourner/claude-engineering-skills / skills/packages/pyvista-visualization
Pyzotero
Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/pyzotero
Pyzotero
Interact with Zotero reference management libraries using the pyzotero Python client. Retrieve, create, update, and delete items, collections, tags, and attachments via the Zotero Web API v3. Use this skill when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero.
by K-Dense-AI/scientific-agent-skills / skills/pyzotero
QA
Meticulous QA subagent for test planning, bug hunting, edge-case analysis, and implementation verification.
by github/awesome-copilot / agents/qa-subagent.agent.md
QA Expert
This skill should be used when establishing comprehensive QA testing processes for any software project. Use when creating test strategies, writing test cases following Google Testing Standards, executing test plans, tracking bugs with P0-P4 classification, calculating quality metrics, or generating progress reports. Includes autonomous execution capability via master prompts and complete documentation templates for third-party QA team handoffs. Implements OWASP security testing and achieves 90% coverage targets.
by daymade/claude-code-skills / qa-expert
Qdrant Clients SDK
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
by github/awesome-copilot / skills/qdrant-clients-sdk
Qdrant Deployment Options
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.
by github/awesome-copilot / skills/qdrant-deployment-options
Qdrant Deployment Options
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.
by qdrant/skills / skills/qdrant-deployment-options
Qdrant Horizontal Scaling
Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.
by qdrant/skills / skills/qdrant-scaling/scaling-data-volume/horizontal-scaling
Qdrant Hybrid Search
Explains hybrid search in Qdrant. Use when someone asks 'how do I setup hybrid search?', 'how to combine keyword and semantic search?', 'sparse plus dense vectors?', 'missing keyword matches', 'how to combine results from multiple searches?' and 'combining multiple representations'
by qdrant/skills / skills/qdrant-search-quality/search-strategies/hybrid-search
Qdrant Hybrid Search Combining
Use when someone asks 'RRF or DBSF?', 'how to combine sparse and dense', 'how to combine scores from multiple searches?', 'custom fusion', or 'fusion is not producing good results'
by qdrant/skills / skills/qdrant-search-quality/search-strategies/hybrid-search/combining-searches
Qdrant Hybrid Search Prefetches
Use when someone asks 'how to combine lexical and semantic retrieval', 'dense and sparse in one search?', 'how to combine multiple fields for retrieval?', 'payloads or sparse vectors for lexical?', 'which sparse embedding model to use?', 'BM25 vs SPLADE?'
by qdrant/skills / skills/qdrant-search-quality/search-strategies/hybrid-search/search-types
Qdrant Indexing Performance Optimization
Diagnoses and fixes slow Qdrant indexing and data ingestion. Use when someone reports 'uploads are slow', 'indexing takes forever', 'optimizer is stuck', 'HNSW build time too long', or 'data uploaded but search is bad'. Also use when optimizer status shows errors, segments won't merge, or indexing threshold questions arise.
by qdrant/skills / skills/qdrant-performance-optimization/indexing-performance-optimization
Qdrant Memory Usage Optimization
Diagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory usage so high?', 'how to reduce RAM?'. Also use when memory doesn't match calculations, quantization didn't help, or nodes crash during recovery.
by qdrant/skills / skills/qdrant-performance-optimization/memory-usage-optimization
Qdrant Minimize Latency
Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.
by qdrant/skills / skills/qdrant-scaling/minimize-latency
Qdrant Model Migration
Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.
by github/awesome-copilot / skills/qdrant-model-migration
Qdrant Model Migration
Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.
by qdrant/skills / skills/qdrant-model-migration
Qdrant Monitoring
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
by github/awesome-copilot / skills/qdrant-monitoring
Qdrant Monitoring
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
by qdrant/skills / skills/qdrant-monitoring
Qdrant Monitoring Debugging
Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's slow'. Also use when performance degrades without obvious config changes.
by qdrant/skills / skills/qdrant-monitoring/debugging
Qdrant Monitoring Setup
Guides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus config', 'Grafana dashboard', 'health check endpoints', 'how to scrape Hybrid Cloud', 'what alerts to set', 'how to centralize logs', or 'audit logging'.
by qdrant/skills / skills/qdrant-monitoring/setup
Qdrant Performance Optimization
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
by github/awesome-copilot / skills/qdrant-performance-optimization
Qdrant Scaling
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
by github/awesome-copilot / skills/qdrant-scaling
Qdrant Scaling Data Volume
Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.
by qdrant/skills / skills/qdrant-scaling/scaling-data-volume
Qdrant Scaling Qps
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.
by qdrant/skills / skills/qdrant-scaling/scaling-qps
Qdrant Scaling Query Volume
Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.
by qdrant/skills / skills/qdrant-scaling/scaling-query-volume
Qdrant Search Quality
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', or 'how to score recall@k?'. Also use when search quality degrades after quantization, model change, or data growth.
by qdrant/skills / skills/qdrant-search-quality
Qdrant Search Quality
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.
by github/awesome-copilot / skills/qdrant-search-quality
Qdrant Search Quality Diagnosis
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', 'quality dropped after quantization', 'how to measure retrieval quality', 'build a golden set', 'ground truth dataset', or 'how to score recall@k'. Also use when search quality degrades without obvious changes.
by qdrant/skills / skills/qdrant-search-quality/diagnosis
Qdrant Search Speed Optimization
Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was fast but now it's slow'. Also use when search performance degrades after config changes or data growth.
by qdrant/skills / skills/qdrant-performance-optimization/search-speed-optimization
Qdrant Search Strategies
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too similar', 'need diversity', 'MMR', 'relevance feedback', 'recommendation API', 'discovery API', or 'missing keyword matches'
by qdrant/skills / skills/qdrant-search-quality/search-strategies
Qdrant Sliding Time Window
Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data efficiently', 'social media feed search', 'news search', 'log search with retention', or 'how to keep only last N months of data'.
by qdrant/skills / skills/qdrant-scaling/scaling-data-volume/sliding-time-window
Qdrant Tenant Scaling
Guides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation', 'dedicated shards', or reports tenant performance issues. Also use when multi-tenant workloads outgrow shared infrastructure.
by qdrant/skills / skills/qdrant-scaling/scaling-data-volume/tenant-scaling
Qdrant Vector Search
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
by Orchestra-Research/AI-Research-SKILLs / 15-rag/qdrant
Qdrant - Vector Similarity Search Engine
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
by NousResearch/hermes-agent / optional-skills/mlops/qdrant
Qdrant Version Upgrade
Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.
by github/awesome-copilot / skills/qdrant-version-upgrade
Qdrant Version Upgrade
Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.
by qdrant/skills / skills/qdrant-version-upgrade
Qdrant Vertical Scaling
Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.
by qdrant/skills / skills/qdrant-scaling/scaling-data-volume/vertical-scaling
Qiskit
IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
by K-Dense-AI/scientific-agent-skills / scientific-skills/qiskit
Qmd
Search personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.
by NousResearch/hermes-agent / optional-skills/research/qmd
Qms Audit Expert
ISO 13485 internal audit expertise for medical device QMS. Covers audit planning, execution, nonconformity classification, and CAPA verification. Use when planning internal audits, executing audits, classifying findings, preparing for external audits, or managing an audit program.
by alirezarezvani/claude-skills / ra-qm-team/skills/qms-audit-expert
Qqbot Media
QQBot rich media send and receive support. Use <qqmedia> tags to send image, voice, video, or file attachments, with the media type inferred from the file extension.
by openclaw/openclaw / extensions/qqbot/skills/qqbot-media
Qqbot Remind
QQBot scheduled reminders. Create, list, and cancel one-time or recurring reminders when a QQ conversation involves reminders, alarms, or scheduled tasks.
by openclaw/openclaw / extensions/qqbot/skills/qqbot-remind
QQ 频道 API 请求指导
QQ channel management skill. Use qqbot_channel_api to list guilds and channels, inspect members, publish posts, manage announcements, and work with schedules through the QQ Open Platform HTTP API with automatic token authentication.
by openclaw/openclaw / extensions/qqbot/skills/qqbot-channel
Qt Cpp Docs
Generates standalone Markdown reference documentation for any Qt/C++ source files — Qt Widgets classes, Qt Quick backends, Qt/C++ modules, plain C++ utilities, structs, free-function headers, and entry points like main.cpp. Use this skill to document any .h or .cpp file: Qt classes, plain C++ code, utility helpers, or application startup files. Triggers on: "document this class", "write docs for my C++", "document main.cpp", "C++ API docs", "document my Qt app", or whenever C++ or header files are provided and documentation is needed. Works with single files, pasted code, or entire project folders. DO NOT use if the user asks for QDoc format output.
by TheQtCompanyRnD/agent-skills / skills/qt-cpp-docs
Qt Cpp Review
Invoke when the user asks to review, check, audit, or look over Qt6 C++ code — or suggest before committing. Runs deterministic linting (60+ rules) then six parallel deep- analysis agents covering model contracts, ownership, threading, API correctness, error handling, and performance. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only — never modifies code.
by TheQtCompanyRnD/agent-skills / skills/qt-cpp-review
Qt Qml
Applies QML best practices when producing or working with QML source code. Use whenever QML code is the primary subject: writing, reviewing, fixing, refactoring, optimizing, or debugging QML files, components, or bindings. Do NOT trigger for purely conversational QML questions where no code is produced or examined (e.g. "explain how anchors work").
by TheQtCompanyRnD/agent-skills / skills/qt-qml
Qt Qml Docs
Generates standalone Markdown reference documentation for QML components and applications. Use this skill whenever you want to document QML files, create API reference docs for a QML component or module, document a Qt Quick application, or produce developer-facing documentation from .qml source code. Triggers on: "document this QML", "write docs for my QML", "create reference docs", "document QML component", "QML API docs", "document my Qt Quick component", "document my Qt app", or any time one or more .qml files are provided and documentation is needed. Works with single files, pasted code, or entire project folders. DO NOT use if the user asks for QDoc format output.
by TheQtCompanyRnD/agent-skills / skills/qt-qml-docs
Qt Qml Profiler
Use when the user is investigating QML / Qt Quick performance — both vague complaints ("the UI feels laggy", "this is slow", "frames are dropping", "the app stutters") and explicit asks to profile, find hotspots, or optimize bindings, signals, or rendering. Runs qmlprofiler on a 2D QML application, parses the .qtd trace, and analyzes hotspots against the source with frame-time, memory, and pixmap-cache summaries. Does NOT cover Qt Quick 3D.
by TheQtCompanyRnD/agent-skills / skills/qt-qml-profiler
Qt Qml Review
Invoke when the user asks to review, check, audit, or look over Qt6 QML code -- or suggest before committing. Runs deterministic linting (47+ rules) then six parallel deep- analysis agents covering bindings, layout, loaders, delegates, states, and performance. Optionally invokes system qmllint for type-level checks. Reports only high-confidence issues (>80/100) with structured mitigations. Read-only -- never modifies code.
by TheQtCompanyRnD/agent-skills / skills/qt-qml-review
Quality
Comprehensive code quality assessment in spaces/[project]/. Use before commits, merges, or releases to ensure consistent quality.
by TaylorHuston/local-life-manager / .claude/skills/quality
Quality Manager Qms Iso13485
ISO 13485 Quality Management System implementation and maintenance for medical device organizations. Provides QMS design, documentation control, internal auditing, CAPA management, and certification support. Use when working with medical device quality systems, preparing for ISO 13485 audits, managing regulatory compliance documentation, setting up corrective actions, or building audit preparation programs. Useful for quality management, audit preparation, regulatory compliance, medical device documentation, and corrective action workflows.
by alirezarezvani/claude-skills / ra-qm-team/skills/quality-manager-qms-iso13485
Quality Playbook Generator
Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.
by github/awesome-copilot / skills/quality-playbook
Quantizing Models Bitsandbytes
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
by Orchestra-Research/AI-Research-SKILLs / 10-optimization/bitsandbytes
Quantum Cognitive Workflow Architecture
A transcendent coding agent with quantum cognitive architecture, adversarial intelligence, and unrestricted creative freedom.
by github/awesome-copilot / agents/Thinking-Beast-Mode.agent.md
Quarkus MCP Server
Quarkus and MCP Server with HTTP SSE transport development standards and instructions
by github/awesome-copilot / instructions/quarkus-mcp-server-sse.instructions.md
Quarterly Database Cleanup
Run a comprehensive quarterly CRM audit covering list health, bounce monitoring, data quality, scoring calibration, engagement metrics, and property cleanup. Produces a health report with quarter-over-quarter trend comparison.
by TomGranot/hubspot-admin-skills / skills/quarterly-database-cleanup
Quasi Coder
Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provide incomplete code snippets, pseudo-code, or descriptions with potential typos or incorrect terminology. Excels at translating non-technical or semi-technical descriptions into production-quality code.
by github/awesome-copilot / skills/quasi-coder
Query
Use when the user wants to query or analyze data through the Honeydew semantic layer — including natural language analysis questions, deep multi-step investigations, and structured queries. For model/field discovery use the model-exploration skill.
by honeydew-ai/honeydew-ai-coding-agents-plugins / skills/query
Quest
Designing games — GDD, core mechanics, game balance, economy and progression, level design, and narrative. Produces design docs, not code. Don't use for game implementation (Tick), general specs (Scribe), feature proposals (Spark), or use-case stories (Saga).
by simota/agent-skills / quest
QuickBooks Automation
Automate QuickBooks accounting workflows including invoicing, expenses, reporting, and bank reconciliation
by claude-office-skills/skills / quickbooks-automation
Quick Mode - Lightweight Task Execution ⚡
Quick execution for ad-hoc tasks without full workflow overhead — use for small, self-contained requests
by nyldn/claude-octopus / skills/octopus-quick
Quill
Adding JSDoc/TSDoc, updating READMEs, replacing any types with proper definitions, and adding high-value comments to complex logic. Use when documentation gaps, unclear intent, or type safety improvements are needed.
by simota/agent-skills / quill
Qutip
Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
by K-Dense-AI/scientific-agent-skills / skills/qutip
QuTiP: Quantum Toolbox in Python
Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
by K-Dense-AI/scientific-agent-skills / scientific-skills/qutip
Qzcli
Manage GPU compute jobs on the Qizhi (启智) platform using qzcli — a kubectl-style CLI tool. Use when user says "qzcli", "启智平台", "submit job", "stop job", "查计算组", "avail", "list jobs", "batch submit", or needs to manage distributed training jobs on a Qizhi instance.
by wanshuiyin/Auto-claude-code-research-in-sleep / skills/qzcli
R8 Analyzer
Analyzes Android build files and R8 keep rules to identify redundancies, broad package-wide rules, and rules that subsume library consumer keep rules. Use when developers want to optimize their app's size, remove redundant or overly broad keep rules, or troubleshoot Proguard configurations.
by android/skills / performance/r8-analyzer
Radar
Adding edge-case tests, repairing flaky tests, and improving coverage. Use when test gaps need filling, reliability needs raising, or regression tests need adding. Multi-language support (JS/TS, Python, Go, Rust, Java).
by simota/agent-skills / radar
RAG Architect
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
by Jeffallan/claude-skills / skills/rag-architect
RAG Engineer
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications.
by sickn33/antigravity-awesome-skills / plugins/antigravity-awesome-skills-claude/skills/rag-engineer
RAG Implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
by wshobson/agents / plugins/llm-application-dev/skills/rag-implementation
Rails Conventions
Rails 8.x application architecture, implementation, and review guidance for production codebases. Use when building or reviewing Ruby on Rails 8 features across models, controllers, routes, Hotwire, jobs, APIs, performance, security, and testing. Trigger for requests mentioning Rails 8, Active Record, Active Job, GoodJob, Solid Queue, Turbo/Stimulus, REST resources, migrations, code quality, naming, and production readiness.
by ethos-link/rails-conventions
Rails Expert
Rails 7+ specialist that optimizes Active Record queries with includes/eager_load, implements Turbo Frames and Turbo Streams for partial page updates, configures Action Cable for WebSocket connections, sets up Sidekiq workers for background job processing, and writes comprehensive RSpec test suites. Use when building Rails 7+ web applications with Hotwire, real-time features, or background job processing. Invoke for Active Record optimization, Turbo Frames/Streams, Action Cable, Sidekiq, RSpec Rails.
by Jeffallan/claude-skills / skills/rails-expert
Rally
Orchestrating multi-session parallel execution using Claude Code Agent Teams API and Codex CLI Subagents to launch, manage, and coordinate concurrent task execution across multiple instances. Use when parallel work is needed.
by simota/agent-skills / rally
ralph-loop
Codex-compatible Ralph loop runner with dual engines (compat local state loop + optional open-ralph-wiggum backend).
by foryourhealth111-pixel/Vibe-Skills / bundled/skills/ralph-loop
Rating Prompt Strategy
When the user wants to improve their app's star rating, increase ratings volume, optimize when and how they prompt users for a review, or recover from a bad rating period. Use when the user mentions "app rating", "star rating", "review prompt", "SKStoreReviewRequest", "In-App Review API", "ask for review", "low rating", "rating drop", "get more reviews", or "recover from 1-star". For responding to reviews, see review-management. For overall ASO health, see aso-audit.
by Eronred/aso-skills / skills/rating-prompt-strategy