intent-layer
💡 摘要
该技能为代码库设置层次化意图层,以增强AI的导航和理解能力。
🎯 适合人群
🤖 AI 吐槽: “看起来很能打,但别让配置把人劝退。”
风险:Medium。建议检查:是否执行 shell/命令行指令;文件读写范围与路径穿越风险。以最小权限运行,并在生产环境启用前审计代码与依赖。
name: intent-layer description: > Set up hierarchical Intent Layer (AGENTS.md files) for codebases. Use when initializing a new project, adding context infrastructure to an existing repo, user asks to set up AGENTS.md, add intent layer, make agents understand the codebase, or scaffolding AI-friendly project documentation.
Intent Layer
Hierarchical AGENTS.md infrastructure so agents navigate codebases like senior engineers.
Core Principle
Only ONE root context file. CLAUDE.md and AGENTS.md should NOT coexist at project root. Child AGENTS.md in subdirectories are encouraged for complex subsystems.
Workflow
1. Detect state
scripts/detect_state.sh /path/to/project
→ Returns: none | partial | complete
2. Route
none/partial → Initial setup (steps 3-5)
complete → Maintenance (step 6)
3. Measure [gate - show table first]
scripts/analyze_structure.sh /path/to/project
scripts/estimate_tokens.sh /path/to/each/source/dir
4. Decide
No root file → Ask: CLAUDE.md or AGENTS.md?
Has root file → Add Intent Layer section + child nodes if needed
5. Execute
Use references/templates.md for structure
Use references/node-examples.md for real-world patterns
Validate: one root, READ-FIRST directive, <4k tokens per node
6. Maintenance mode (when state=complete)
Ask user:
a) Audit nodes → Use references/capture-protocol.md for SME questions
b) Find candidates → Re-measure tokens, suggest new nodes
c) Both
When to Create Child Nodes
| Signal | Action | |--------|--------| | >20k tokens in directory | Create AGENTS.md | | Responsibility shift | Create AGENTS.md | | Hidden contracts/invariants | Document in nearest ancestor | | Cross-cutting concern | Place at LCA |
Do NOT create for: every directory, simple utilities, test folders (unless complex).
Capture Questions
When documenting existing code, ask:
- What does this area own? What's out of scope?
- What invariants must never be violated?
- What repeatedly confuses new engineers?
- What patterns should always be followed?
Resources
Scripts:
scripts/detect_state.sh- Check Intent Layer state (none/partial/complete)scripts/analyze_structure.sh- Find semantic boundariesscripts/estimate_tokens.sh- Measure directory complexity
References:
references/templates.md- Root and child node templatesreferences/node-examples.md- Real-world examplesreferences/capture-protocol.md- SME interview protocol
优点
- 增强AI对代码库的理解。
- 促进更好的文档编写实践。
- 鼓励结构化项目组织。
缺点
- 需要初始设置工作。
- 可能使简单项目复杂化。
- 依赖特定脚本。
相关技能
免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。
版权归原作者所有 crafter-station.
