task-breakdown▌
davidkiss/smart-ai-skills · updated Apr 8, 2026
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.
Writing Task Breakdown
Overview
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:
- Each task should have a last step that verifies the task was completed correctly
- The very last task should verify that after completing all tasks, the changes and actions were applied correctly and as intended by the specs, if provided
Presenting the tasks:
- Once you believe you have the full task breakdown, present the tasks one-by-one to the user
- Present tasks based on their dependencies on each other - e.g. if task B depends on task A, task A must be presented before task B
- Ask after each task whether it looks right so far
- Be ready to go back and clarify if something doesn't make sense - consider updating previous tasks based on user feedback, if needed
- When user confirms a task looks good, update
docs/YYYY-MM-DD-<feature-name>-tasks.mdwith that task
Bite-Sized Task Granularity
Each step is one action (2-5 minutes):
- "Write the failing test" - step
- "Run it to make sure it fails" - step
- "Implement the minimal code to make the test pass" - step
- "Run the tests and make sure they pass" - step
Task Breakdown Document Header
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 Structure
### 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★74 reviews- ★★★★★Charlotte Harris· Dec 28, 2024
task-breakdown fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Pratham Ware· Dec 24, 2024
I recommend task-breakdown for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Dev Mehta· Dec 24, 2024
Registry listing for task-breakdown matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Emma Mehta· Dec 24, 2024
task-breakdown is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chaitanya Patil· Dec 20, 2024
We added task-breakdown from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Anika Dixit· Dec 20, 2024
task-breakdown reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★William Jain· Dec 8, 2024
task-breakdown fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Carlos Chen· Dec 8, 2024
task-breakdown has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Omar Malhotra· Nov 27, 2024
We added task-breakdown from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★William Gill· Nov 27, 2024
Useful defaults in task-breakdown — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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