subagent-development
Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.
Best use case
subagent-development is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.
Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "subagent-development" skill to help with this workflow task. Context: Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/subagent-development/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How subagent-development Compares
| Feature / Agent | subagent-development | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Execute plans using fresh subagent per task with code review between tasks. Use for high-quality iterative implementation.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Subagent-Driven Development Fresh subagent per task + review between tasks = high quality, fast iteration. ## When to Use - Executing implementation plans in current session - Tasks are largely independent - Want continuous progress with quality gates - Need isolation between task contexts ## When NOT to Use - Plan needs initial review/revision - Tasks have tight sequential dependencies - Simple changes that don't need isolation ## The Process ### 1. Load Plan & Create Tasks ``` 1. Read the plan document 2. Create TodoWrite with all tasks 3. Verify plan is sound before starting ``` ### 2. For Each Task **Dispatch Implementation Subagent:** ``` Task([appropriate-agent], prompt=" Implement Task N from the plan: **Task:** [Task description] **Requirements:** - Follow TDD (write failing test first) - Implement minimal code to pass - Verify all tests pass - Commit with descriptive message **Output:** - What was implemented - Test results - Any issues encountered ") ``` ### 3. Code Review Checkpoint After EACH task, dispatch reviewer: ``` Task(code-reviewer, prompt=" Review implementation of Task N: **What was implemented:** [From subagent output] **Commits:** [Range] **Requirements:** [From plan] Evaluate: - Implementation vs requirements match - Code quality and patterns - Test coverage - Critical/Important/Minor issues ") ``` ### 4. Address Feedback | Severity | Action | | -------- | --------------------------- | | Critical | Fix immediately, re-review | | High | Fix before next task | | Medium | Fix if quick, else document | | Low | Document for later | ### 5. Mark & Continue 1. Update TodoWrite to mark task complete 2. Proceed to next task 3. Repeat cycle ### 6. Final Review After all tasks complete: ``` Task(code-reviewer, prompt=" Final review of complete implementation: **Plan:** [Reference] **All commits:** [Full range] Verify: - Complete plan compliance - Architectural soundness - No regressions - Ready for merge ") ``` ### 7. Finish Transition to merge/PR workflow. ## Critical Rules ### Never: - Skip code reviews between tasks - Proceed with unresolved Critical issues - Run multiple implementation subagents in parallel - Implement without plan task reference ### Always: - Fresh subagent for each task (clean context) - Review after each task (quality gate) - Fix Critical/High before continuing - Document deferred issues ## Quality Gate Template ```markdown ## Task N Review **Status:** [Pass/Fail] ### Critical Issues [None / List] ### High Priority [None / List] ### Medium Priority [None / List] ### Minor/Suggestions [None / List] ### Verdict - [ ] Proceed to next task - [ ] Fix issues first - [ ] Needs discussion ``` ## Benefits - Clean context for each task (no accumulated confusion) - Built-in quality gates catch issues early - Reviewable progress at each step - Easy to pause/resume at task boundaries
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