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am-command-init-rules
Initialize non-obvious modular rules for the codebase
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
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Initialize non-obvious modular rules for the codebase
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Analyze codebase with repomix, search skillshare for relevant skills, and recommend top 5
Reference codebase for Pi Extensions. Use this skill when you need to understand the structure, implementation patterns, or code details of the Pi Extensions project.
Plan and add as task
| name | am-command-init-rules |
| description | Initialize non-obvious modular rules for the codebase |
| x-agentsmesh-kind | command |
| x-agentsmesh-name | init-rules |
| x-agentsmesh-allowed-tools | ["Read","Grep","Glob","Bash","question"] |
Generate modular, path-scoped rules that are non-obvious, project-specific, and actionable using a 3-phase workflow.
Analyze the repository to identify project-specific conventions, not generic patterns:
package.json, go.mod, etc.) for project-specific dependenciesFor each rule, use the question tool to gather:
globs: for file scoping)targets: array)Create rule files in rules/ with strict guidelines:
---
description: Project-specific API response convention
targets: [claude-code, cursor]
globs: ["src/api/**/*.ts"]
---
- All endpoints must return the project's `ApiEnvelope<T>` type (never raw objects)
- Include `requestId` matching the `traceId` from the project's logger
- Use `handleApiError` wrapper for all catch blocks (no raw error throws)
withTransaction wrapper" not "handle DB errors")frontend/, backend/, testing/)❌ Obvious (reject): "Use strict TypeScript. Never use any."
✅ Non-obvious (accept): "Prefer project's Result<T, E> type over throws for all service layer errors"
After creating rules, suggest running agentsmesh generate to deploy to configured AI tools.