ai-toolkit-rules
Mandatory engineering, security, testing, git, performance, quality, and response rules.…
Explores codebase structure, stack, and architecture. Triggers: explore codebase, project structure, stack overview, architecture map.
$ npx -y skills add softspark/ai-toolkit --skill explore --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/exploreContext preview
The summary Claude sees to decide when to auto-load this skill.
Explores codebase structure, stack, and architecture. Triggers: explore codebase, project structure, stack overview, architecture map.
name: explore description: "Explores codebase structure, stack, and architecture. Triggers: explore codebase, project structure, stack overview, architecture map." user-invocable: true effort: medium argument-hint: "[path or question]" allowed-tools: Read, Grep, Glob
$ARGUMENTS
Explore and understand a codebase structure.
/explore [path]
1. **Maps** project structure 2. **Identifies** technology stack 3. **Finds** key files and patterns 4. **Reports** architecture overview
## Codebase Analysis Report ### Project Type - **Language**: [TypeScript/Python/PHP/etc.] - **Framework**: [Next.js/FastAPI/Laravel/etc.] - **Package Manager**: [npm/pnpm/pip/composer] ### Directory Structure
project/ ├── src/ # Source code ├── tests/ # Test files ├── config/ # Configuration └── ...
### Key Files | File | Purpose | |------|---------| | `src/index.ts` | Entry point | | `src/api/` | API routes | ### Dependencies - **Runtime**: [list] - **Dev**: [list] ### Patterns Detected - [Pattern 1] - [Pattern 2] ### Entry Points - [Entry 1] - [Entry 2]
| Marker | Technology | |--------|------------| | `package.json` | Node.js | | `tsconfig.json` | TypeScript | | `next.config.*` | Next.js | | `nuxt.config.*` | Nuxt | | `pyproject.toml` | Python | | `composer.json` | PHP | | `pubspec.yaml` | Flutter/Dart | | `Cargo.toml` | Rust | | `go.mod` | Go |
This skill ONLY reads and analyzes. It does NOT write or modify any files.
For an interactive HTML tree visualization of the codebase:
python3 ${CLAUDE_SKILL_DIR}/scripts/visualize.py .This generates `codebase-map.html` with collapsible directories, file sizes, and type-colored indicators.
smart_query("codebase analysis: {technology}")
hybrid_search_kb("project structure {framework}")AI coding toolkit with machine-enforced safety, 116 skills, 44 agents, lifecycle hooks, persona presets, opt-in plugin packs, and benchmark tooling.
Repo: softspark/ai-toolkit
Mandatory engineering, security, testing, git, performance, quality, and response rules.…
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