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Before you build, the agent grills you on your plan or design, offering a recommended answer each round, until every decision branch is resolved. It calls the grilling skill from the same repo, so install both.

Skill pack from YC president Garry Tan: slash commands such as /office-hours, /plan-ceo-review, /review, /qa and /ship play CEO, engineering manager, designer, QA and release engineer. Needs Git and Bun; clone the repo and run ./setup as the README describes.

Agile AI-driven development method: analyst, product manager, UX designer and other role skills turn ideas into product briefs, PRDs and PRFAQs, then split them into tasks for agents. Needs a skills-capable agent such as Claude Code, plus Node.js, Git and uv; then run bmad setup.

Collection of 2,400+ installable SKILL.md skills across development, security, cloud and ops, AI, marketing and more, with the AAS Core local MCP and an installer that help agents search, pick skills and preview install plans. Formerly antigravity-awesome-skills.

Multi-host plugin marketplace with 90+ single-purpose plugins, 200+ subagents and 180+ skills covering language-specific development, ops, security, data and multi-agent orchestration. Installing a plugin loads only that plugin's content.

The 180+ skills bundled with the 90+ plugins in the wshobson/agents marketplace, covering development across many languages and frameworks, testing, ops, security, data and LLM apps. Install individually with npx skills or gh skill; skills only, without subagents or commands.

Community skill collection in GitHub's official repo: 400+ skills following the Agent Skills spec, covering codebase onboarding, testing, cloud and DevOps, agent security and more. Install individual skills with gh skills install.

A collection of 380+ skills across engineering, product, marketing, compliance, finance and executive advisory roles, with many standard-library Python scripts. Claude Code can install them by domain as plugins; works with Codex, Gemini CLI and a dozen other agents.

Interviews you to design an agentic control loop for your codebase in control-theory terms: a set point, a sensor built from existing tooling, a controller that picks small low-risk changes, and a coding agent that opens PRs. Builds each part to run locally before wiring a scheduled CI workflow.