autonomous-multi-agent-development
Skill1 starsChanged 4 months agoMITView on GitHub
Autonomous multi-agent style development workflow for complex software tasks. Use when a request involves substantial feature work, cross-stack changes, debugging plus implementation, refactoring with validation, CI/deploy fixes, architecture/spec-to-code execution, or explicit requests for multi-agent, parallel, autonomous, dev-first, minimal-interruption delivery. Compatible with Codex and Claude Code: use real subagent/Task tools when available, otherwise emulate agents as named work lanes and parallel tool calls without inventing unavailable tools.
In this repository14 other files it gives its agents.
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We split this skill into the rules it gives an agent
13 rules. About 0 are common, 11 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Use this skill to run complex engineering work as an autonomous, development-first collaboration workflow.
- Distinctive: line 12
Prefer implementation and verification over long plans.
- Distinctive: line 13
Ask only for decisions that are destructive, high-cost, production-facing, or likely to cause major rework.
- Very specific: line 14
Use available subagent or Task tools if the runtime provides them.
- Distinctive: line 15
Do not claim to have launched or closed real agents unless the environment actually provides those operations.
- Distinctive: line 16
Keep one writer per file. Parallel lanes may inspect the same file, but only one lane owns edits to a file.
- Distinctive: line 33
Only include lanes that are relevant.
- Distinctive: line 39
Implement: run independent reads/tool calls in parallel where possible.
- Distinctive: line 41
Verify: run targeted tests/builds and any user-facing smoke checks.
- Distinctive: line 52
When asking, keep it to the smallest concrete decision needed.
- Very specific: line 56
When creating reusable documents, create directories as needed.
- Distinctive: line 80
Use Chinese by default. Keep it concise and factual.
- Distinctive: line 95
Read references/workflow.md when the task is large, explicitly asks for multi-agent orchestration, involves more than two domains, or needs …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Autonomous Multi-Agent Development
Use this skill to run complex engineering work as an autonomous, development-first collaboration workflow. Optimize for a runnable result, local verification, and concise Chinese reporting.
Operating Rules
- Prefer implementation and verification over long plans. Produce only the minimum plan needed to coordinate safely.
- Ask only for decisions that are destructive, high-cost, production-facing, or likely to cause major rework.
- Use available subagent or Task tools if the runtime provides them. If not, emulate agents as named work lanes such as
Agent-API,Agent-UI, andAgent-QA. - Do not claim to have launched or closed real agents unless the environment actually provides those operations.
- Keep one writer per file. Parallel lanes may inspect the same file, but only one lane owns edits to a file.
- For code tasks, land a smallest runnable slice first, then improve quality where it matters.
- For document, plan, research, decision, report, or release artifacts, write files under the workspace
docstree unless the user says otherwise. - Report truthfully: success, partial success, blocked, or not run, with the reason.
0-60 Second Start
For complex tasks, quickly create 3-7 work lanes before deep implementation:
Agent-0 主控: scope, dependencies, conflict control, final integration
Agent-1 定位: relevant files, impact surface, shortest fix path
Agent-2 后端: API, business logic, persistence, services
Agent-3 前端: UI, state, client integration
Agent-4 验证: tests, build, regression, delivery notesOnly include lanes that are relevant. For each lane, state: owner, files/directories, output, acceptance standard. Then proceed without waiting for user approval unless a confirmation threshold is hit.
Execution Workflow
- Discover: inspect repo structure, docs, OpenSpec specs, tests, and current behavior.
- Split: assign named lanes by ownership boundary and file responsibility.
- Implement: run independent reads/tool calls in parallel where possible; serialize writes that touch the same files.
- Integrate: reconcile lane outputs, resolve conflicts, and keep changes scoped.
- Verify: run targeted tests/builds and any user-facing smoke checks. Use browser/UI automation when applicable.
- Deliver: summarize result, changed files/commands, verification, risks, rollback notes, and next steps.
Confirmation Threshold
Continue without asking unless the next action is one of:
- destructive or hard-to-recover changes, such as mass deletion or history rewrite
- high-cost work, such as long full regression, heavy build, or production deploy
- irreversible architecture, public API, or data model decision
When asking, keep it to the smallest concrete decision needed.
Documentation Output
When creating reusable documents, create directories as needed. Use openspec/
only for Spec/OpenSpec artifacts; use docs/ for supporting plans, reports,
decisions, research, and release notes:
docs/plan
docs/meeting
docs/research
openspec/
docs/report
docs/decision
docs/releaseUse timestamped filenames:
yyyyMMddHHmmssfff_<topic>.mdInclude the actual path in the final report.
Reporting Format
Use Chinese by default. Keep it concise and factual.
结果: 一句话总体状态
Agent进度: A0-A4 或语义化 Agent 的完成项,每个 1 行
改动: 文件/命令/配置变化,按 Agent 标注
验证: 执行项与结果,按 Agent 标注
管理件: 决策记录、任务看板、风险清单,需要时提供
下一步: 最多 3 条For small tasks, compress the format while preserving result, changes, and verification.
Detailed Reference
Read references/workflow.md when the task is large, explicitly asks for multi-agent orchestration, involves more than two domains, or needs document/spec routing.
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