Task Coordination Strategies
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
MCP get_skill({ skillId: "task-coordination-strategies-cc53a680" })Use this skill with your agent
Create a free account and connect via MCP
# Task Coordination Strategies
Strategies for decomposing complex tasks into parallelizable units, designing dependency graphs, writing effective task descriptions, and monitoring workload across agent teams.
## When to Use This Skill
- Breaking down a complex task for parallel execution
- Designing task dependency relationships (blockedBy/blocks)
- Writing task descriptions with clear acceptance criteria
- Monitoring and rebalancing workload across teammates
- Identifying the critical path in a multi-task workflow
## Task Decomposition Strategies
### By Layer
Split work by architectural layer:
- Frontend components
- Backend API endpoints
- Database migrations/models
- Test suites
**Best for**: Full-stack features, vertical slices
### By Component
Split work by functional component:
- Authentication module
- User profile module
- Notification module
**Best for**: Microservices, modular architectures
### By Concern
Split work by cross-cutting concern:
- Security review
- Performance review
- Architecture review
**Best for**: Code reviews, audits
### By File Ownership
Split work by file/directory boundaries:
- `src/components/` — Implementer 1
- `src/api/` — Implementer 2
- `src/utils/` — Implementer 3
**Best for**: Parallel implementation, conflict avoidance
## Dependency Graph Design
### Principles
1. **Minimize chain depth** — Prefer wide, shallow graphs over deep chains
2. **Identify the critical path** — The longest chain determines minimum completion time
3. **Use blockedBy sparingly** — Only add dependencies that are truly required
4. **Avoid circular dependencies** — Task A blocks B blocks A is a deadlock
### Patterns
**Independent (Best parallelism)**:
```
Task A ─┐
Task B ─┼─→ Integration
Task C ─┘
```
**Sequential (Necessary dependencies)**:
```
Task A → Task B → Task C
```
**Diamond (Mixed)**:
```
┌→ Task B ─┐
Task A ─┤ ├→ Task D
└→ Task C ─┘
```
### Using blockedBy/blocks
```
TaskCreate: { subject: "Build API endpoints" } → Task #1
TaskCreate: { subject: "Build frontend components" } → Task #2
TaskCreate: { subject: "Integration testing" } → Task #3
TaskUpdate: { taskId: "3", addBlockedBy: ["1", "2"] } → #3 waits for #1 and #2
```
## Task Description Best Practices
Every task should include:
1. **Objective** — What needs to be accomplished (1-2 sentences)
2. **Owned Files** — Explicit list of files/directories this teammate may modify
3. **Requirements** — Specific deliverables or behaviors expected
4. **Interface Contracts** — How this work connects to other teammates' work
5. **Acceptance Criteria** — How to verify the task is done correctly
6. **Scope Boundaries** — What is explicitly out of scope
### Template
```
## Objective
Build the user authentication API endpoints.
## Owned Files
- src/api/auth.ts
- src/api/middleware/auth-middleware.ts
- src/types/auth.ts (shared — read only, do not modify)
## Requirements
- POST /api/login — accepts email/password, returns JWT
- POST /api/register — creates new user, returns JWT
- GET /api/me — returns current user profile (requires auth)
## Interface Contract
- Import User type from src/types/auth.ts (owned by implementer-1)
- Export AuthResponse type for frontend consumption
## Acceptance Criteria
- All endpoints return proper HTTP status codes
- JWT tokens expire after 24 hours
- Passwords are hashed with bcrypt
## Out of Scope
- OAuth/social login
- Password reset flow
- Rate limiting
```
## Workload Monitoring
### Indicators of Imbalance
| Signal | Meaning | Action |
| -------------------------- | ------------------- | --------------------------- |
| Teammate idle, others busy | Uneven distribution | Reassign pending tasks |
| Teammate stuck on one task | Possible blocker | Check in, offer help |
| All tasks blocked | Dependency issue | Resolve critical path first |
| One teammate has 3x others | Overloaded | Split tasks or reassign |
### Rebalancing Steps
1. Call `TaskList` to assess current state
2. Identify idle or overloaded teammates
3. Use `TaskUpdate` to reassign tasks
4. Use `SendMessage` to notify affected teammates
5. Monitor for improved throughputRelated Skills
More skills in Software Engineering
Accessibility Standards
Comprehensive web accessibility standards based on WCAG 2.2 AA, with 38+ anti-patterns, legal enforcement context (EAA, ADA Title II), WAI-ARIA patterns, and framework-specific fixes for modern web frameworks and libraries.
Accord
Authoring unified specification packages across Business/Development/Design teams via staged elaboration (L0 Vision → L1 Requirements → L2 Team Detail → L3 Acceptance Criteria). No code. Use when authoring cross-team specs, building L0-L3 packages, or aligning Biz/Dev/Design on a single source of truth.
Acquire Codebase Knowledge
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
Acreadiness Assess
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
Acreadiness Generate Instructions
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
Acreadiness Policy
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
Explore Other Categories
Skills from other categories with shared topics
Team Composition Analysis
Design optimal team structures, hiring plans, compensation strategies, and equity allocation for early-stage startups from pre-seed through Series A. Use this skill when planning headcount, determining which roles to hire next, setting compensation or equity ranges, designing org structure, or building a hiring budget aligned to funding milestones.
Hads
Use when writing technical documentation that needs to be readable by both humans and AI models, converting existing docs to HADS format, validating a HADS document, or optimizing documentation for token-efficient AI consumption.
Secrets Management
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.