onboard — community onboard, community, ide skills

v1.0.0

About this Skill

Perfect for AI Agents needing comprehensive content analysis and onboarding capabilities for Q/A MAS tools in VSC Codex Deterministic onboarding for this repo (read minimal index files first, then bounded discovery).

MykolaPinchuk MykolaPinchuk
[0]
[0]
Updated: 3/1/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
18
Canonical Locale
en
Detected Body Locale
en

Perfect for AI Agents needing comprehensive content analysis and onboarding capabilities for Q/A MAS tools in VSC Codex Deterministic onboarding for this repo (read minimal index files first, then bounded discovery).

Core Value

Empowers agents to perform bounded discovery, analyzing up to 10 additional files, and providing insights through Markdown files such as `agents.md`, `repo_workflow.md`, and `QAMAS_PRD.md`, utilizing protocols like file path reading and content analysis

Ideal Agent Persona

Perfect for AI Agents needing comprehensive content analysis and onboarding capabilities for Q/A MAS tools in VSC Codex

Capabilities Granted for onboard

Onboarding new agents with comprehensive content analysis
Analyzing repository workflows and Q/A MAS tool implementations
Generating lists of necessary files for current slices of work
Debugging onboarding processes through `HANDOFF.md` and `REPO_MAP.md`

! Prerequisites & Limits

  • Requires access to specific Markdown files in the repository
  • Limited to analyzing up to 10 additional files during bounded discovery
  • Needs to be invoked or triggered by the user saying `Onboard`

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is onboard?

Perfect for AI Agents needing comprehensive content analysis and onboarding capabilities for Q/A MAS tools in VSC Codex Deterministic onboarding for this repo (read minimal index files first, then bounded discovery).

How do I install onboard?

Run the command: npx killer-skills add MykolaPinchuk/QAMAS/onboard. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for onboard?

Key use cases include: Onboarding new agents with comprehensive content analysis, Analyzing repository workflows and Q/A MAS tool implementations, Generating lists of necessary files for current slices of work, Debugging onboarding processes through `HANDOFF.md` and `REPO_MAP.md`.

Which IDEs are compatible with onboard?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for onboard?

Requires access to specific Markdown files in the repository. Limited to analyzing up to 10 additional files during bounded discovery. Needs to be invoked or triggered by the user saying `Onboard`.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add MykolaPinchuk/QAMAS/onboard. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use onboard immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

onboard

Install onboard, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

When invoked (or when the user says Onboard), do this exactly:

  1. Read (in order, if present):
  • agents.md (if not already in context)
  • repo_workflow.md
  • onboarding.md
  • HANDOFF.md
  • REPO_MAP.md
  • a2a_notes.md
  • README.md (focus on "For agents")
  • QAMAS_PRD.md
  • QAMAS_IMPLEMENTATION.md
  1. Bounded discovery:
  • Identify up to 10 additional files needed for the current slice.
  • Print the list (file path + 1-line reason each).
  • Open only those files after listing them.
  • Do not perform broad repo scans.
  1. Output contract:
  • 5 bullets: current state summary
  • 3 options: next slice choices (each 1-2 bullets)
  • files read (including the bounded discovery list)
  • unknowns/risks (<= 5 bullets)
  1. Log:
  • Append an entry to agent_logs/current.md with intent and next steps.

Related Skills

Looking for an alternative to onboard or another community skill for your workflow? Explore these related open-source skills.

View All

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

333.8k
0
AI

widget-generator

Logo of f
f

Generate customizable widget plugins for the prompts.chat feed system

149.6k
0
AI

flags

Logo of vercel
vercel

The React Framework

138.4k
0
Browser

pr-review

Logo of pytorch
pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

98.6k
0
Developer