task-decomposition▌
jwynia/agent-skills · updated Apr 8, 2026
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Transform overwhelming development tasks into manageable units by respecting cognitive limits, creating clear boundaries, and enabling parallel work. Tasks properly decomposed achieve 3x higher completion rates and 60% fewer defects.
Task Decomposition Diagnostic
Transform overwhelming development tasks into manageable units by respecting cognitive limits, creating clear boundaries, and enabling parallel work. Tasks properly decomposed achieve 3x higher completion rates and 60% fewer defects.
When to Use This Skill
Use this skill when:
- A task feels too big to estimate
- Unsure where to start
- Blocked by dependencies
- Task keeps growing (scope creep)
- Need to break down an epic or feature
Do NOT use this skill when:
- Task is already small and clear
- Doing implementation work
- Architecture decisions needed (use system-design)
Core Principle
The goal isn't more tasks—it's the right tasks. Tasks small enough to understand completely, large enough to deliver value, independent enough to avoid blocking.
Quick Reference: Cognitive Limits
| Limit | Threshold | Implication |
|---|---|---|
| Working memory | 7±2 items | Max concepts per task |
| Context switch recovery | 23 minutes | Minimize task switching |
| Files examined | 15-20 max | Bound task scope |
| Days before completion drops | 2-3 days | Keep tasks under this |
Task Duration Success Rates
| Duration | Completion Rate |
|---|---|
| < 2 hours | 95% |
| 2-4 hours | 90% |
| 4-8 hours (1 day) | 80% |
| 2-3 days | 60% |
| 1 week | 35% |
| > 2 weeks | <10% |
Diagnostic States
TD1: Too Big to Understand
Symptoms: Estimates range wildly, can't hold all requirements in mind, more than 7 concepts to track
Interventions:
- Apply INVEST criteria: Independent, Negotiable, Valuable, Estimable, Small, Testable
- Use vertical slicing (each slice is independently deployable)
- Apply walking skeleton (minimal end-to-end first)
TD2: No Clear Entry Point
Symptoms: Multiple valid starting points, paralysis, everything seems connected
Interventions:
- Front-load risk: start with highest-uncertainty items
- Tracer bullet: minimal proof of concept
- Find the walking skeleton: thinnest slice through all layers
TD3: Dependency Problems
Symptoms: "Blocked on X", diamond dependencies, coordination overhead
Interventions:
- Interface contracts: define API, mock while implementing
- Feature flags: deploy independently, enable when ready
- Branch by abstraction: create layer, swap implementations
TD4: No Clear Done Criteria
Symptoms: "Almost done" forever, no way to verify completion
Interventions:
- Define acceptance criteria (Given/When/Then)
- Time-box to force prioritization
- Define explicit out-of-scope items
TD5: Scope Creep
Symptoms: Task keeps growing, "while we're here" additions
Interventions:
- Freeze scope, spawn new tasks for additions
- Define minimum viable version
- Ship smallest version that solves the problem
TD6: Need Spike First
Symptoms: Estimate variance > 4x, new technology, multiple approaches
Interventions:
- Time-boxed spike (8 hours max)
- Deliverables: options, POC, trade-offs, revised estimate
- Spike then implement pattern
Decomposition Patterns
Vertical Slicing (Preferred for Features)
Feature: User Profile Management
Slice 1: View basic profile (4h)
- UI: Profile display
- API: GET /profile
- DB: Read profile
Slice 2: Edit profile name (6h)
- UI: Edit dialog
- API: PATCH /profile/name
- DB: Update profile
Each slice is independently deployable
Walking Skeleton (For New Systems)
Minimal end-to-end first:
1. Hello World page
2. One GET endpoint
3. Single table
4. Basic deploy
Then flesh out incrementally
Tracer Bullet (Validate Architecture)
Step 1: Minimal Service A (1h) - Hardcoded response
Step 2: Minimal Service B (1h) - Simple transformation
Step 3: Integrate (2h) - Prove they communicate
Total: 4 hours to decision point
Estimation Techniques
Complexity Sizing (Fibonacci)
| Points | Meaning |
|---|---|
| 1 | Trivial, < 1 hour |
| 2 | Simple, 1-2 hours |
| 3 | Standard, 2-4 hours |
| 5 | Moderate, 4-8 hours |
| 8 | Complex, 1-2 days |
| 13 | Very complex, 2-3 days |
| 21 | Too large, must decompose |
Three-Point Estimation
O = Optimistic (everything perfect)
L = Likely (normal case)
P = Pessimistic (major issues)
PERT estimate: (O + 4L + P) / 6
Anti-Patterns
Big Bang Delivery
Building complete system before any delivery. Fix: Vertical slices, incremental value.
Technical Tasks Without Value
"Set up database," "Create service layer." Fix: Include in feature tasks: "User can view products (includes DB)."
Research Forever
Unbounded investigation. Fix: Time-boxed spikes with deliverables.
Perfect Decomposition
Over-analyzing before starting. Fix: Decompose next 2 weeks. Details for later work emerge.
Decomposition Checklist
Before starting any task:
- Can hold all requirements in working memory?
- Duration under 2-3 days?
- Clear acceptance criteria exist?
- Dependencies identified and broken where possible?
- Can be completed independently?
- Delivers verifiable value?
- Estimate confidence is high?
If any "no" → further decomposition needed.
Related Skills
- github-agile - Track decomposed work as issues
- system-design - Understand architectural boundaries
- requirements-analysis - Clarify unclear requirements
- code-review - Review after implementation
How to use task-decomposition on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add task-decomposition
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches task-decomposition from GitHub repository jwynia/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate task-decomposition. Access the skill through slash commands (e.g., /task-decomposition) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★33 reviews- ★★★★★Aditi Farah· Dec 28, 2024
I recommend task-decomposition for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Pratham Ware· Dec 24, 2024
Useful defaults in task-decomposition — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Tariq Ramirez· Dec 20, 2024
Useful defaults in task-decomposition — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sofia Anderson· Nov 19, 2024
Solid pick for teams standardizing on skills: task-decomposition is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Nov 15, 2024
task-decomposition has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aisha Lopez· Nov 11, 2024
task-decomposition has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Olivia Taylor· Oct 10, 2024
task-decomposition has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Oct 6, 2024
Solid pick for teams standardizing on skills: task-decomposition is focused, and the summary matches what you get after install.
- ★★★★★Hassan Liu· Oct 2, 2024
Solid pick for teams standardizing on skills: task-decomposition is focused, and the summary matches what you get after install.
- ★★★★★Olivia Anderson· Sep 25, 2024
Solid pick for teams standardizing on skills: task-decomposition is focused, and the summary matches what you get after install.
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