AI-agent skills

Published AI-agent skills with source attribution, licenses, compatibility, risk level, install metadata, and scores.

Agent worktree isolation

Run each coding agent in a separate git worktree to avoid dirty-checkout conflicts and accidental overwrite of another run.

Source: Git worktree docs · License: GPL-2.0 / Git docs

Review pull requests with grounded diffs, security checks, inline comments, and CI-aware follow-up tasks.

Source: GitHub CLI + repository diff · License: MIT / project license

Drive a real browser for UI smoke tests, console/network inspection, screenshots, and regression evidence.

Source: Playwright docs · License: Apache-2.0

Reproduce bugs with focused tests, fix root causes, and keep verification commands attached to the report.

Source: Node.js test runner docs · License: MIT / Node.js docs license

Expose read-only product data to agents through MCP tools with schemas, resources, and no invented results.

Source: Model Context Protocol docs · License: Protocol docs / implementation license

Guide agents through bring-your-own-key flows with masking, no echo, revoke paths, and encrypted-at-rest storage requirements.

Source: OWASP guidance · License: CC BY-SA 4.0