相关职业
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/CleanExpo/NodeJS-Starter-V1 --skill blueprint-engine命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
Route complex requests to the right specialist agent or chain of agents. This skill acts as the central brain of an agent swarm — it analyses what the user needs, determines which specialist domain(s) are required, and coordinates parallel or sequential agent execution. Use this skill when a request spans multiple domains (e.g., "research competitors and create a pitch deck"), when you need to decide which specialist should handle an ambiguous request, or when a task requires a multi-step pipeline across different skills. Triggers on: multi-step requests, cross-domain tasks, "coordinate", "plan this out", "I need help with multiple things", or any complex request that touches more than one specialist area. Also triggers when the user seems unsure which tool or approach to use.
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正在显示 SKILL.md
| id | blueprint-engine |
| name | blueprint-engine |
| type | skill |
| version | 1.0.0 |
| created | 20/03/2026 |
| modified | 20/03/2026 |
| status | active |
| description | Hybrid DAG execution primitive combining deterministic and agentic nodes with hard iteration caps |
| context | fork |
Inspired by Stripe Minions: deterministic scaffolding + bounded agentic intelligence. Hard caps are non-advisory — they are enforced by iteration-counter.py.
Commands executed directly with no iteration cost:
git-branch — git checkout -b minion/{task-id}git-commit — git add -A && git commit -m "minion: {message}"git-push — git push -u origin HEADcreate-pr — gh pr create --title "minion: {task}" --body "{template}" --label "minion-generated"lint — pnpm turbo run linttype-check — pnpm turbo run type-checktest — pnpm turbo run testcircular-deps-check — pnpm turbo run lint (includes circular dep detection)system-supervisor-quick-audit — read .claude/memory/current-state.md + grep for violations (deterministic)execution-guardian-check — evaluate risk level from task keywords (deterministic mapping)implement — Implement the requested feature. Cap: 1 pass onlyreproduce-bug — Write a failing test that reproduces the bug. Cap: 1 pass onlyimplement-fix — Fix the reproduced bug. Cap: 1 pass onlyimplement-migration — Execute a database or code migration. Cap: 1 pass onlyimplement-refactor — Refactor per system supervisor audit findings. Cap: 1 pass onlyfix-ci — Fix CI/test failures. Cap: 2 rounds maximumfix-lint — Fix non-auto-fixable lint errors. Cap: 1 round maximum| Node |
|---|
| Cap |
|---|
implement | 1 pass |
reproduce-bug | 1 pass |
implement-fix | 1 pass |
implement-migration | 1 pass |
implement-refactor | 1 pass |
fix-ci | 2 rounds |
fix-lint | 1 round |
| Total agentic per blueprint | 3 max |
When any cap is reached → output BLUEPRINT_ESCALATION block, halt, write to .claude/memory/current-state.md, stop.
These are applied automatically before any agentic node. They do NOT count against caps:
| Error Pattern | Auto-Fix Command |
|---|---|
Cannot find module | pnpm install |
ModuleNotFoundError | uv sync |
| Auto-fixable ESLint errors | pnpm turbo run lint -- --fix |
| Auto-fixable Python lint | uv run ruff check src/ --fix |
| Missing type stubs | pnpm add -D @types/{package} |
When a cap is reached or a blocking error occurs, output this exact block and halt:
BLUEPRINT_ESCALATION
task_id: {id}
node: {failing-node}
iteration: {n}/{max}
reason: {what failed in one line}
evidence: {last 5 lines of error output}
next_action: Human review required — do not retry automatically
Then write to .claude/memory/current-state.md:
## Minion Escalation — {DD/MM/YYYY HH:MM AEST}
task_id: {id}
status: ESCALATED
node: {failing-node}
reason: {reason}
.claude/data/minion-state.json.create-pr.node-type → node-type → [optional-node] → node-type
Brackets [...] indicate conditional nodes (only executed if the preceding deterministic check fails).