onboard
Use when joining an unfamiliar codebase, starting on a new team, or needing to understand a project's architecture, conventions, and key modules quickly.
Works with
--- name: onboard description: Use when joining an unfamiliar codebase, starting on a new team, or needing to understand a project's architecture, conventions, and key modules quickly. license: MIT --- # /onboard - Codebase Onboarding Understand any codebase in minutes. Generates a developer guide with architecture, conventions, key modules, and getting-started instructions. **Target:** $ARGUMENTS ## When to Use - First day on a new project or team - Picking up an open-source project for the first time - Reviewing a project before a technical interview - Before contributing to an unfamiliar repo - When documentation is missing or outdated - NOT for: projects you already know well (use `@scout` for quick checks instead) ## Workflow ### Step 1: Project Discovery Scan the project root: ``` Read: package.json / pyproject.toml / go.mod / Cargo.toml Read: README.md (if exists) Read: ARCHITECTURE.md / CLAUDE.md / CONTRIBUTING.md (if exist) Scan: Top-level directory structure ``` Extract: - Project name and description - Language and framework - Package manager and scripts - Entry points ### Step 2: Architecture Mapping Map the project structure: ``` Identify: - Source root (src/, app/, lib/) - Module/feature boundaries - Shared utilities - Configuration files - Test structure - CI/CD setup ``` Generate architecture diagram: ``` src/ ├── modules/ → Feature modules (users, orders, products) │ └── [module]/ │ ├── types/ → TypeScript interfaces │ ├── services/ → Business logic │ ├── hooks/ → State management │ └── components/ → UI components ├── shared/ → Shared utilities ├── config/ → App configuration └── app/ → App entry and routing ``` ### Step 3: Convention Detection Detect coding conventions by reading actual files: | Convention | How to Detect | |------------|---------------| | Naming | Read 3-5 files, check function/variable naming | | File structure | Map actual directory patterns | | State management | Find store/state imports (Redux, Zustand, Pinia, etc.) | | API layer | Find HTTP client usage (axios, fetch, etc.) | | Testing | Find test files, check framework (Jest, Vitest, etc.) | | Styling | Find CSS/styled imports (Tailwind, CSS Modules, etc.) | | Error handling | Find try/catch patterns, error boundaries | | Imports | Check for path aliases, barrel exports | ### Step 4: Key Module Analysis For each major module/feature: ``` Module: [name] ├── Purpose: [what it does] ├── Files: [count] ├── Dependencies: [what it imports from] ├── Dependents: [what imports from it] ├── Entry point: [main file] └── Tests: [yes/no, coverage estimate] ``` Focus on the 3-5 most important modules. ### Step 5: Developer Guide Generation Compile everything into an actionable guide. ## Verification Protocol **Before claiming onboarding is complete:** 1. Architecture diagram was generated from actual file structure (not assumed) 2. Conventions were detected from reading real code (not README claims) 3. At least 3 key modules were analyzed 4. Setup instructions were verified by checking scripts in package.json 5. If tests exist, the test command was identified ## Anti-Rationalization | Excuse | Reality | |--------|---------| | "README explains everything" | READMEs are often outdated. Verify against actual code. | | "Architecture is obvious" | Obvious to maintainers, not newcomers. Map it explicitly. | | "Too many files to analyze" | Focus on top 3-5 modules. Don't skip the mapping step. | | "No tests to analyze" | That IS the finding. Report it in the guide. | | "Conventions aren't consistent" | Document the inconsistencies. It's useful for the developer. | ## Rules 1. **Read actual code** - Never rely solely on README or documentation 2. **Map before explaining** - Architecture diagram first, then details 3. **Focus on key modules** - 3-5 most important, not all of them 4. **Detect, don't assume** - Conventions come from reading files, not guessing 5. **Be honest about gaps** - Missing tests, docs, or conventions are findings too 6. **Actionable output** - Every section should help the developer start working ## Output ``` ──── /onboard ──── Project: [name] Stack: [language + framework + key libraries] Architecture: [directory tree diagram] Conventions: Naming: [camelCase / snake_case / PascalCase] State: [Redux / Zustand / Pinia / Context] API: [axios / fetch / tRPC] Testing: [Jest / Vitest / Playwright] Styling: [Tailwind / CSS Modules / styled-components] Key Modules: 1. [module] - [purpose] ([X files]) 2. [module] - [purpose] ([X files]) 3. [module] - [purpose] ([X files]) Getting Started: Install: [command] Dev: [command] Test: [command] Build: [command] Notes: - [important observations] - [potential gotchas] - [missing documentation areas] ```
More Project Management skills
firecrawl-build-onboarding
firecrawl/skills
Get Firecrawl credentials and SDK setup into a project. Use when an application needs `FIRECRAWL_API_KEY`, when an agent should add Firecrawl to `.env`, when the user wants to authenticate Firecrawl for app code, or when choosing the first SDK and docs for a new Firecrawl integration. This skill includes its own browser auth flow, so it does not depend on the website onboarding skill.
email-sequence
coreyhaines31/marketingskills
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails," "trigger-based emails," "email funnel," "email workflow," "what emails should I send," "welcome series," or "email cadence." Use this for any multi-email automated flow. For cold outreach emails, see cold-email. For in-app onboarding, see onboarding-cro.
onboard
pbakaus/impeccable
Designs and improves onboarding flows, empty states, and first-run experiences to help users reach value quickly. Use when the user mentions onboarding, first-time users, empty states, activation, getting started, or new user flows.

