Use when onboarding onto a module and need a quick summary of its structure, patterns, and key files.
Scanned 9/4/2026
Install to Claude Code
npx -y skills add NoaiRox/specialist-agent --skill docs-onboard --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Docs Onboard?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/noairox-docs-onboard-036ca209)More formats (shields.io, HTML) on the badges page.
---
name: docs-onboard
description: "Use when onboarding onto a module and need a quick summary of its structure, patterns, and key files."
user-invocable: true
argument-hint: "[module-name]"
allowed-tools: Read, Bash, Glob, Grep
---
Create a quick summary of a module for onboarding.
Module: $ARGUMENTS
## Steps
1. Map the structure:
```bash
find modules/$ARGUMENTS -type f | head -40
find pages/ -path "*$ARGUMENTS*" -type f 2>/dev/null
find server/api/$ARGUMENTS -type f 2>/dev/null
```
2. Summarize in quick format:
### Endpoints
List the consumed endpoints (grep in services and server/api/).
### Main Components
List components and their responsibilities (1 line each).
### State
- What is in useState? (simple shared state)
- What is in Pinia? (complex client state)
- What is in useAsyncData/useFetch? (server state)
### Data Flow
```
Service ($fetch) -> Adapter (parse) -> Composable (useAsyncData) -> Component (UI)
```
### Server API Routes
List Nitro routes in server/api/ (1 line each).
### Points of Attention
- Anything outside the ARCHITECTURE.md pattern?
- Components > 200 lines?
- Legacy code not yet migrated?
- Explicit imports where auto-imports should work?
3. Output: concise summary that a new developer can understand the module in 2 minutes.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.