
Task Breakdown
- 208 installs
- 4 repo stars
- Updated May 8, 2026
- davidkiss/smart-ai-skills
Decompose vague feature requests or epics into ordered, estimable subtasks before implementation so agents and humans share a clear execution plan.
About
smart-ai-skills task-breakdown guides Claude through structured decomposition of complex requests into prioritized subtasks with dependencies, outcomes, and checkpoints so validation-phase scoping stays concrete before frontend, backend, or integration work begins.
- Splits large asks into actionable steps
- Surfaces dependencies and sequencing
- Defines clear done criteria per subtask
- Improves agent planning reliability
- Supports estimation and milestone grouping
Task Breakdown by the numbers
- 208 all-time installs (skills.sh)
- Ranked #1,033 of 3,273 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Jul 29, 2026 (Skillselion catalog sync)
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| Installs | 208 |
|---|---|
| repo stars | ★ 4 |
| Last updated | May 8, 2026 |
| Repository | davidkiss/smart-ai-skills ↗ |
What it does
Decompose vague feature requests or epics into ordered, estimable subtasks before implementation so agents and humans share a clear execution plan.
Files
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
Leverage existing skills
- Identify relevant agent skills - other than this one and the @subagent-task-execution skill
- Output: "I'll use the following skills to help you with the task breakdown: @skill1, @skill2, ..."
- Load and use the identified skills to create the task breakdown
Presenting the tasks:
- Once you believe you have the full task breakdown, use a subagent to critique the task breakdown for self-correction - subagent must ground critique using websearch tool
- Then 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**
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: PASSRemember
- 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