docs/zh-CN/skills/blueprint/SKILL.md
将单行目标转化为多会话、多代理工程项目的分步构建计划。每个步骤包含独立的上下文简介,以便新代理能直接执行。包括对抗性审查门、依赖图、并行步骤检测、反模式目录和计划突变协议。触发条件:当用户请求复杂多PR任务的计划、蓝图或路线图,或描述需要多个会话的工作时。不触发条件:任务可在单个PR或少于3个工具调用中完成,或用户说“直接执行”时。
npx skillsauth add affaan-m/everything-claude-code blueprintInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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将单行目标转化为分步施工计划,任何编码代理都能冷启动执行。
请勿用于 可在单个 PR 内完成、少于 3 次工具调用,或用户明确表示“直接做”的任务。
Blueprint 运行一个 5 阶段流水线:
plans/。每个步骤都包含上下文摘要、任务列表、验证命令和退出标准 — 这样新的代理无需阅读先前步骤即可执行任何步骤。Blueprint 自动检测 git/gh 可用性。如果具备 git + GitHub CLI,它会生成完整的分支/PR/CI 工作流计划。如果没有,则切换到直接模式(原地编辑,无分支)。
/blueprint myapp "将数据库迁移到PostgreSQL"
生成 plans/myapp-migrate-database-to-postgresql.md,包含类似以下的步骤:
/blueprint chatbot "将LLM提供商提取到插件系统中"
生成一个尽可能包含并行步骤的计划(例如,在插件接口步骤完成后,“实现 Anthropic 插件”和“实现 OpenAI 插件”可以并行运行),分配模型层级(接口设计步骤使用最强模型,实现步骤使用默认模型),并在每个步骤后验证不变量(例如“所有现有测试通过”、“核心模块无提供商导入”)。
.md 文件 — 无钩子、无 shell 脚本、无可执行代码、无 package.json、无构建步骤。安装或调用时,除了 Claude Code 的原生 Markdown 技能加载器外,不运行任何内容。此技能随 Everything Claude Code 附带。安装 ECC 时无需单独安装。
如果您从 ECC 仓库检出中工作,请验证技能是否存在:
test -f skills/blueprint/SKILL.md
后续更新时,请在更新前查看 ECC 的差异:
cd /path/to/everything-claude-code
git fetch origin main
git log --oneline HEAD..origin/main # review new commits before updating
git checkout <reviewed-full-sha> # pin to a specific reviewed commit
如果您在完整 ECC 安装之外仅内嵌此技能,请将 ECC 仓库中已审查的文件复制到 ~/.claude/skills/blueprint/SKILL.md。内嵌副本没有 git 远程仓库,因此应通过从已审查的 ECC 提交中重新复制文件来更新,而不是运行 git pull。
/blueprint 斜杠命令)灵感来源于 antbotlab/blueprint — 上游项目和参考设计。
development
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
development
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
tools
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.
data-ai
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.