project-discovery
Deep project analysis for architecture planning. Use when starting migration or designing new agent components for an unfamiliar codebase.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install wayne930242-reflexive-claude-code-project-discovery
Repository
Skill path: skills/project-discovery
Deep project analysis for architecture planning. Use when starting migration or designing new agent components for an unfamiliar codebase.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: wayne930242.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install project-discovery into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/wayne930242/Reflexive-Claude-Code before adding project-discovery to shared team environments
- Use project-discovery for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
--- name: project-discovery description: Deep project analysis for architecture planning. Use when starting migration or designing new agent components for an unfamiliar codebase. --- # Project Discovery Systematically explore a project to produce a discovery report for `agent-architect`. ## Process ### 1. Structure Scan Explore the project root and key directories: ``` □ Root files: package.json, pyproject.toml, Cargo.toml, go.mod, etc. □ Source directories: src/, lib/, app/, components/ □ Config files: tsconfig.json, .eslintrc, prettier, etc. □ CI/CD: .github/workflows/, .gitlab-ci.yml, Jenkinsfile □ Existing Claude setup: .claude/, CLAUDE.md ``` ### 2. Tech Stack Identification Determine: | Aspect | Examples | |--------|----------| | Language(s) | TypeScript, Python, Rust, Go | | Framework | React, Next.js, FastAPI, Express | | Build tools | Vite, Webpack, esbuild, tsc | | Package manager | npm, pnpm, yarn, pip, cargo | | Test framework | Jest, Vitest, pytest, go test | ### 3. Workflow Discovery Identify existing automation and manual workflows: **Automated:** - Build scripts in package.json / Makefile - CI/CD pipelines - Pre-commit hooks (husky, lint-staged) - Existing Claude hooks **Manual (candidates for automation):** - Common developer commands - Deployment procedures - Release processes ### 4. Pattern Recognition Look for: - Code conventions (formatting, naming) - Architecture patterns (DDD, clean arch, MVC) - Testing patterns (unit, integration, e2e) - Documentation style ## Output: Discovery Report Produce a structured report: ```markdown # Discovery Report: [Project Name] ## Overview - **Type**: [Web app / CLI / Library / API / Monorepo] - **Language**: [Primary language(s)] - **Framework**: [Main framework(s)] ## Tech Stack | Category | Technology | |----------|------------| | Runtime | ... | | Framework | ... | | Build | ... | | Test | ... | | Lint/Format | ... | ## Existing Automation - [List current CI/CD, hooks, scripts] ## Recommended Components ### Skills - [ ] `skill-name` - [reason] ### Commands - [ ] `/command-name` - [reason] ### Hooks - [ ] `hook-name` on [event] - [reason] ### Rules - [ ] `rule-name` - [convention to extract] ## Notes [Any special considerations, legacy code, migration risks] ``` ## Handoff After producing the report: 1. Present findings to user for validation 2. Pass approved recommendations to `agent-architect` 3. Let `agent-architect` classify and delegate each component ## Exploration Tips - Use `Glob` for file patterns: `**/*.config.*`, `**/test/**` - Use `Grep` for conventions: `import`, `export default`, `async function` - Check README.md for documented workflows - Look at recent git commits for active development areas