subagent-driven-development
Skill24 starsChanged 24 days agoMITView on GitHub
Use when executing implementation plans with independent tasks in the current session. Dispatches a fresh subagent per task with two-stage review (spec compliance, then code quality).
189 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- DemonDamon/AgenticXtheir own version, first seen Nov 9, 2026
- roundpilot/superpowers-antigravitytheir own version, first seen Nov 8, 2026
- REPOZY/superpowers-optimizedtheir own version, first seen Nov 8, 2026
- lingyired/status-triotheir own version, first seen Nov 8, 2026
- DJtx001/ai-coding-playbooktheir own version, first seen Nov 8, 2026
- namlxuit056/social-forextheir own version, first seen Nov 8, 2026
Used with
Projects with it also use chinese-code-review, chinese-commit-conventions and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Leodorareluctant259Skillchinese-code-review
中文代码审查规范——在保持专业严谨的同时,用符合国内团队文化的方式给出有效反馈
Also in 8 projects that use this
Leodorareluctant259Skillchinese-commit-conventions
中文 Git 提交规范 — 适配国内团队的 commit message 规范和 changelog 自动化
Also in 8 projects that use this
obraSkilldiagnosing-superpowers
Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so expensive", "what is it doing" — or wants to build a bug report for the superpowers maintainers, for the current session or a past one identified by id or path, on any harness.
Also in 19 projects that use this
Tommy-ywSkillwebhook-subscriptions
Create and manage webhook subscriptions for event-driven agent activation, or for direct push notifications (zero LLM cost). Use when the user wants external services to trigger agent runs OR push notifications to chats.
Also in 5 projects that use this
math-incSkillminecraft-modpack-server
Set up a modded Minecraft server from a CurseForge/Modrinth server pack zip. Covers NeoForge/Forge install, Java version, JVM tuning, firewall, LAN config, backups, and launch scripts.
Also in 5 projects that use this
math-incSkillpokemon-player
Play Pokemon games autonomously via headless emulation. Starts a game server, reads structured game state from RAM, makes strategic decisions, and sends button inputs — all from the terminal.
Also in 5 projects that use this
- +3 more from Leodorareluctant259
- +2 more from math-inc
Other versions189 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- mick-gsk/drift★ 1418% same
Wrote their own version · 188
- obra/superpowers★ 314ksame name
- jnMetaCode/superpowers-zh★ 8.4ksame name
- openai/plugins★ 7.8ksame name
- farm-fe/farm★ 5.6ksame name
- lingyired/status-trio★ 1.8ksame name
- GanyuanRan/Aegis★ 1.4ksame name
- pcvelz/superpowers★ 1.3ksame name
- math-inc/OpenGauss★ 1.3ksame name
- DemonDamon/AgenticX★ 1ksame name
- coco-research/coco★ 797same name
178 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/rules/agents.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- api-contract-firstSkill
- architecture-auditSkill
- brainstormingSkill
- data-migrationSkill
- dispatching-parallel-agentsSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- five-whysSkill
- incident-responseSkill
- performance-auditSkill
- skill-duplication-auditSkill
- smart-initSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- using-a-teamSkill
- using-git-worktreesSkill
- verification-before-completionSkill
- writing-plansSkill
- writing-skillsSkill
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 9 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 179 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Continuous execution: Do not pause to check in between tasks.
- Distinctive: line 18
Read plan file once; extract ALL tasks with full text and context
- Distinctive: line 19
Create TodoWrite with all tasks
- Distinctive: line 20
Verify git worktree isolation is configured
- Distinctive: line 24
If implementer asks questions → answer, re-dispatch
- Distinctive: line 27
If spec issues → implementer fixes, reviewer re-reviews (loop)
- Distinctive: line 29
If quality issues → implementer fixes, reviewer re-reviews (loop)
- Distinctive: line 58
Never skip either review stage.
- Distinctive: line 62
Start on main/master branch without explicit user consent
“Common” is measured: kept by at least 6 in 10 of the 179 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Subagent-Driven Development
Execute a plan by dispatching fresh subagents per task, with two-stage review after each.
Core principle: Fresh subagent per task + two-stage review (spec then quality) = high quality, fast iteration.
Continuous execution: Do not pause to check in between tasks. Execute all tasks without stopping. The only reasons to stop: BLOCKED status you cannot resolve, genuine ambiguity, or all tasks complete.
Process
Step 0: Setup
- Read plan file once; extract ALL tasks with full text and context
- Create TodoWrite with all tasks
- Verify git worktree isolation is configured
Per Task:
- Dispatch implementer subagent with full task text + relevant context
- If implementer asks questions → answer, re-dispatch
- Implementer implements, tests, commits, self-reviews
- Dispatch spec compliance reviewer — confirms code matches spec
- If spec issues → implementer fixes, reviewer re-reviews (loop)
- Dispatch code quality reviewer — confirms quality standards met
- If quality issues → implementer fixes, reviewer re-reviews (loop)
- Mark task complete in TodoWrite
After All Tasks:
- Dispatch final code reviewer for entire implementation
- Use
finishing-a-development-branchskill
Implementer Status Handling
| Status | Action |
| DONE | Proceed to spec compliance review |
| DONE_WITH_CONCERNS | Read concerns, address if correctness/scope issues |
| NEEDS_CONTEXT | Provide missing context, re-dispatch |
| BLOCKED | Assess: context problem → more context; reasoning → higher model; too large → break up; wrong plan → escalate |
Model Selection
Select the lowest tier that can handle the task:
| Scope | Claude Code | OpenAI | |
| 1-2 files, clear spec | claude-haiku-4-5 | gpt-4.1-mini | gemini-2.0-flash-lite |
| Multi-file, integration concerns | claude-sonnet-4-6 | gpt-4.1 | gemini-2.5-flash |
| Design judgment, broad codebase | claude-opus-4-8 | o3 / gpt-5.5 | gemini-2.5-pro |
Review Order (Critical)
Spec compliance MUST be ✅ before starting code quality review. Never skip either review stage.
Red Flags — Never Do
- Start on main/master branch without explicit user consent
- Skip either review stage
- Dispatch multiple implementation subagents in parallel (file conflicts)
- Make subagent read plan file (provide full text instead)
- Accept "close enough" on spec compliance
- Ignore subagent questions before they start work
Integration
Uses: writing-plans (creates the plan), finishing-a-development-branch (completes work)
Subagents use: test-driven-development, code-review patterns
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

