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vinzenz

crd-investigate

by vinzenz

14🍴 0📅 2026年1月23日
GitHubで見るManusで実行

SKILL.md


name: crd-investigate description: Deep codebase investigation to generate PROJECT.md context. Analyzes architecture, patterns, features, APIs, and schemas. context: fork agent: crd-investigator allowed-tools: Read Glob Grep Bash model: claude-sonnet-4-5

Codebase Investigation Skill

You perform deep analysis of an existing codebase to generate comprehensive PROJECT.md context.

Arguments

ArgumentRequiredDescription
--project <path>YesPath to project root
--depth <level>NoInvestigation depth: quick, medium (default), deep

Investigation Process

Step 1: Project Structure

# Get current git hash for context tracking
git -C {project_path} rev-parse HEAD

# List top-level structure
ls -la {project_path}

# Get directory tree (excluding common ignores)
find {project_path} -type d \
  -not -path '*/\.*' \
  -not -path '*/node_modules/*' \
  -not -path '*/venv/*' \
  -not -path '*/.venv/*' \
  -not -path '*/__pycache__/*' \
  -not -path '*/dist/*' \
  -not -path '*/build/*' \
  | head -100

Step 2: Tech Stack Detection

Check for package/config files:

# Check multiple patterns
ls {project_path}/pyproject.toml {project_path}/requirements.txt {project_path}/setup.py 2>/dev/null
ls {project_path}/package.json {project_path}/tsconfig.json 2>/dev/null
ls {project_path}/go.mod {project_path}/Cargo.toml 2>/dev/null

Read package files to extract:

  • Language and version
  • Framework (FastAPI, React, Go Chi, etc.)
  • Database ORM (SQLAlchemy, Drizzle, GORM)
  • Key dependencies

Step 3: Feature Discovery

Based on detected framework, look for features:

FastAPI/Python:

grep -r "@router\." {project_path}/src --include="*.py" -l
grep -r "@app\." {project_path}/src --include="*.py" -l

Express/Node:

grep -r "router\." {project_path}/src --include="*.ts" --include="*.js" -l

React:

find {project_path}/src -name "*.tsx" -path "*/components/*" -o -name "*.tsx" -path "*/pages/*"

Step 4: API Endpoint Extraction

FastAPI:

# Look for patterns like:
@router.get("/users")
@router.post("/auth/login")

Read files and extract:

  • Method (GET, POST, PUT, DELETE)
  • Path
  • Request/response types from type hints

Express/TanStack:

// Look for patterns like:
router.get('/users', handler)
app.post('/auth/login', handler)

Step 5: Schema/Model Extraction

SQLAlchemy:

# Look for class definitions inheriting from Base
class User(Base):
    __tablename__ = "users"

Drizzle:

// Look for table definitions
export const users = pgTable('users', {...})

Extract:

  • Model name
  • Table name
  • Fields with types
  • Relationships (foreign keys)

Step 6: Pattern Analysis

Identify common patterns:

  • File naming conventions
  • Import patterns
  • Error handling approach
  • Authentication mechanism
  • State management (frontend)

Step 7: Generate PROJECT.md

Create PROJECT.md at {project_path}/PROJECT.md:

# Project: {detected name}

## Overview
{Inferred from README.md or code structure}

## Architecture

### Tech Stack
{Detected stack}

### Component Structure
{Directory tree with annotations}

### Key Patterns
{Detected patterns}

## Context Metadata
<project-context version="1.0">
  <meta>
    <last-updated>{now}</last-updated>
    <last-context-hash>{git hash}</last-context-hash>
  </meta>

  <features>
    {Discovered features}
  </features>

  <api-registry>
    {Extracted endpoints}
  </api-registry>

  <schema-registry>
    {Extracted models}
  </schema-registry>
</project-context>

Step 8: Create CRD Directory

mkdir -p {project_path}/docs/crd

Depth Levels

Quick (5-10 minutes)

  • Project structure
  • Tech stack from package files
  • Main entry points
  • README overview

Medium (15-20 minutes) - Default

  • All of Quick
  • Feature inventory from routes/components
  • API endpoint extraction
  • Database model extraction
  • Basic pattern identification

Deep (30+ minutes)

  • All of Medium
  • Full dependency graph
  • Test coverage analysis
  • Integration point mapping
  • Detailed pattern analysis
  • Code quality assessment

Output

After completion, report:

Investigation complete.

PROJECT.md generated at: {project_path}/PROJECT.md

Summary:
- Tech Stack: {stack}
- Features: {count} identified
- API Endpoints: {count} documented
- Database Models: {count} cataloged
- Context Hash: {hash}

docs/crd/ directory created for future CRDs.

Error Handling

SituationAction
Empty projectCreate minimal PROJECT.md
No recognizable frameworkDocument structure only
Binary filesSkip, note in overview
Permission errorsReport and continue with accessible files
Very large codebaseLimit scope, note truncation

スコア

総合スコア

45/100

リポジトリの品質指標に基づく評価

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

0/5
タグ

1つ以上のタグが設定されている

0/5

レビュー

💬

レビュー機能は近日公開予定です