Write comprehensive task breakdowns assuming the expert who is going to implement the specs has zero context for our project and questionable taste. Document everything they need to know: which existing files to check, which files to touch for each task and what changes to make to them. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontask-breakdownExecute the skills CLI command in your project's root directory to begin installation:
Fetches task-breakdown from davidkiss/smart-ai-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate task-breakdown. Access via /task-breakdown in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Write comprehensive task breakdowns assuming the expert who is going to implement the specs has zero context for our project and questionable taste. Document everything they need to know: which existing files to check, which files to touch for each task and what changes to make to them. Give them the whole plan as bite-sized tasks. DRY. YAGNI. TDD.
Assume they are a skilled worker, but know almost nothing about our toolset or problem domain. Assume they don't know how to verify they are doing the right thing.
Analyze available agent skills and use all relevant ones to create the task breakdown.
Announce at start: "I'm using the task-breakdown skill to create a plan."
Constraints:
Presenting the tasks:
docs/YYYY-MM-DD-<feature-name>-tasks.md with that taskEach step is one action (2-5 minutes):
Every task breakdown MUST start with this header:
# [Task Name] Task Breakdown
**Goal:** [One sentence describing what this achieves]
**Approach:** [2-3 sentences about approach]
**Skills:** [List of skills to use]
**Tech Details:** [Key tools, services, technologies/libraries to use]
---
### Task N: [Component Name]
**Files:**
- Create: `exact/path/to/file.py`
- Modify: `exact/path/to/existing.py:123-145`
- Test: `tests/exact/path/to/test.py`
**Step 1: Write the failing test**
```python
def test_specific_behavior():
result = function(input)
assert result == expected
Step 2: Run test to verify it fails
Run: pytest tests/path/test.py::test_name -v
Expected: FAIL with "function not defined"
Step 3: Write minimal implementation
def function(input):
return expected
Step 4: Cleanup code changes Use skill(s) if available to cleanup code changes
Step 5: Review code changes Use skill(s) if available to review code changes. Make sure code follows the project's coding standards and aligns with the specs and the task breakdown.
Step 6: Run test to verify it passes
Run: pytest tests/path/test.py::test_name -v
Expected: PASS
## Remember
- Exact file paths always
- For coding tasks, complete code in task breakdown (not "add validation")
- Exact commands with expected output
- Reference relevant skills with @ syntax
- DRY, YAGNI, TDD
## Execution Handoff
After saving the task breakdown, offer task execution:
**"Task breakdown complete and saved to `docs/YYYY-MM-DD-<feature-name>-tasks.md`.**
**Subagent-based task execution (this session)** - I dispatch fresh subagent per task, review between tasks, fast iteration
- **REQUIRED SUB-SKILL:** Use subagent-task-execution
- Stay in this session
- Fresh subagent per task + code review
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
jezweb/claude-skills
task-breakdown fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend task-breakdown for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for task-breakdown matched our evaluation — installs cleanly and behaves as described in the markdown.
task-breakdown is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added task-breakdown from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
task-breakdown reduced setup friction for our internal harness; good balance of opinion and flexibility.
task-breakdown fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
task-breakdown has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added task-breakdown from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in task-breakdown — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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