copilot-team-scaffoldInitialize a multi-agent AI development framework for any project. Creates .github/ structure with agents, hooks, instructions, prompts, and planning-with-fi...
Install via ClawdBot CLI:
clawdbot install lrh07819/copilot-team-scaffoldGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://code.visualstudio.com/docs/copilot/customization/hooksAudited Apr 30, 2026 · audit v1.0
Generated Oct 5, 2026
A small engineering team starting a new web product uses this skill to instantly scaffold a structured AI-assisted development workflow. It generates role-based agents (backend, frontend, testing, requirements, architecture) plus automated lint hooks, AGENTS.md rules, and a spec-flow directory. The team starts the first sprint with a disciplined, traceable pipeline from requirements to code.
A large enterprise IT department wants to standardize how internal teams use AI coding assistants across many projects. This skill provides a reusable, opinionated framework with automated quality gates (ruff, pyright, tsc, tests) and lessons-learned tracking. It enforces security compliance, memory persistence, and consistent AGENTS.md governance for every new repository.
A software development agency repeatedly launches new client projects with varying stacks (FastAPI, React, Vue, Spring Boot, etc.). The scaffold skill quickly configures the chosen tech stack, agent roles, and CI/CD setup, reducing setup overhead per project. Standardized hooks and memory templates improve delivery quality and reduce onboarding time for rotating developers.
An indie developer building multiple side projects wants the power of a virtual team without hiring. The skill creates specialized AI agents and automated validation loops that catch errors and accumulate lessons across sessions. It turns a single developer into an organized, self-disciplined workflow covering requirements, design, tasks, and code.
A university or bootcamp introduces AI-assisted development practices to students. This skill sets up structured project environments with clear agent roles, file-based planning, and automated feedback through hooks. Students learn disciplined AI collaboration, requirements traceability, and quality assurance from the start.
The skill is offered as open-source, while premium features like advanced hook configurations, private template repositories, and enterprise support are monetized. Companies pay for hosted orchestration, audit dashboards, or priority support. Revenue is generated through subscriptions and enterprise licenses.
The skill is used as the foundation for paid consulting engagements where experts help organizations adopt AI-assisted development workflows, customize templates, and integrate with existing CI/CD, security, and compliance systems. Revenue comes from project-based fees and retainers.
The skill serves as the core curriculum for training programs and certifications that teach teams how to use AI agents effectively in software development. Businesses offer workshops, online courses, and certification exams. Revenue is generated from course sales, corporate training packages, and certification fees.
💬 Integration Tip
Ensure global skills like spec-flow and planning-with-files are installed beforehand; the scaffold skill assumes these prerequisites and will copy templates and hooks into .github/. Test hooks in a sandbox repository first, and adjust lint/test commands to match your chosen tech stack before rolling out to production teams.
Scored Oct 5, 2026
Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.
Claude Code integration for OpenClaw. This skill provides interfaces to: - Query Claude Code documentation from https://code.claude.com/docs - Manage subagents and coding tasks - Execute AI-assisted coding workflows - Access best practices and common workflows Use this skill when users want to: - Get help with coding tasks - Query Claude Code documentation - Manage AI-assisted development workflows - Execute complex programming tasks
Plan, draft, version, and refine written content with enforced versioning and quality audits.
Use when writing tests, creating test strategies, or building automation frameworks. Invoke for unit tests, integration tests, E2E, coverage analysis, performance testing, security testing.