docs/zh-CN/skills/agent-sort/SKILL.md
通过将技能、命令、规则、钩子和额外内容并行进行仓库感知审查,为特定仓库构建基于证据的 ECC 安装计划,将其分为 DAILY 和 LIBRARY 两类。当 ECC 应精简为项目实际所需而非加载完整包时使用。
npx skillsauth add affaan-m/everything-claude-code agent-sortInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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当仓库需要项目特定的 ECC 表面而非默认完整安装时,使用此技能。
目标不是猜测"什么感觉有用"。目标是根据实际代码库中的证据对 ECC 组件进行分类。
按顺序生成以下工件:
仅使用两个分类:
DAILY
LIBRARY
在进行任何分类之前,使用仓库本地证据:
有用的命令包括:
rg --files
rg -n "typescript|react|next|supabase|django|spring|flutter|swift"
cat package.json
cat pyproject.toml
cat Cargo.toml
cat pubspec.yaml
cat go.mod
如果并行子代理可用,将审查分为以下轮次:
agents/*skills/*commands/*rules/*如果子代理不可用,则按顺序运行相同的轮次。
在分类任何内容之前,确定实际技术栈:
对于每个候选表面,记录:
使用此格式:
skills/frontend-patterns | skill | DAILY | 84 个 .tsx 文件,存在 next.config.ts | 核心前端技术栈
skills/django-patterns | skill | LIBRARY | 无 .py 文件,无 pyproject.toml | 此仓库中未激活
rules/typescript/* | rules | DAILY | 存在 package.json + tsconfig.json | 活跃的 TS 仓库
rules/python/* | rules | LIBRARY | 零个 Python 源文件 | 仅保持可访问
提升至 DAILY 当:
降级至 LIBRARY 当:
将分类转化为行动:
.claude/skills/skill-library 保持可访问如果仓库已使用选择性安装,则更新该计划而非创建另一个系统。
如果项目需要可搜索的库表面,创建:
.claude/skills/skill-library/SKILL.md该路由器应包含:
不要在路由器内重复每个技能的主体。
应用计划后,验证:
返回一个简洁的报告,包含:
如果下一步是交互式安装或修复,交接至:
configure-ecc如果下一步是重叠清理或目录审查,交接至:
skill-stocktake如果下一步是更广泛的上下文修剪,交接至:
strategic-compact按此顺序返回结果:
栈
- 语言/框架/运行时摘要
日常
- 始终加载的条目及证据
库
- 可搜索/参考的条目及证据
安装计划
- 应安装、移除或路由的内容
验证
- 已运行的检查及剩余差距
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.