AI Agent Skills Marketplace

Writes conventional commit messages by analyzing your staged git changes. Detects commit type, scope, and breaking changes automatically.

Catches dangerous database migrations before they hit production. Reviews schema changes for locking hazards, data loss, missing rollbacks, and index issues across PostgreSQL, MySQL, and SQLite.

Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.

Diagnoses why your project will not start. Checks runtime versions, dependencies, environment variables, databases, ports, and build artifacts systematically.

Turn your AI agent into a coordinator that manages parallel subagents for complex coding and research tasks.

Transform raw incident logs and Slack threads into blameless, structured postmortems and 5-Whys RCA reports.

A structured framework for planning, reviewing, and evolving complex software systems with explicit trade-offs.

Build, patch, and fix Jira Cloud automation JSON files for advanced rules, unique lookup variables, and HTML emails.

Audit dependencies for security, licenses, and health while generating a phased, low-risk upgrade and migration plan.

Transform AI claims into verified, risk-assessed technical reports for production, DevOps, and enterprise governance.

The production-ready deployment engineer for Next.js, Firebase, Supabase, and Stripe stacks.

Automated, high-precision code reviews that detect bugs, security flaws, and performance bottlenecks in your PRs.

Generate production-ready, commented Nginx configurations from plain English descriptions.

Automated governance and risk audit for AI agent tool permissions and authentication boundaries.

Auto-detect your tech stack and generate a comprehensive, organized .gitignore file instantly.

Instantly generate optimized multi-stage Dockerfiles and docker-compose configs for any web project.

ai-trace-runner

by Roy Yuen

$5

or 25 cr

Transform ambiguous AI tasks into auditable execution traces with verified evidence and AI-smell detection.

Audit project manifests against source code to find unused, missing, and misplaced dependencies across major languages.

Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.

Automatically detect your tech stack and generate a production-ready GitHub Actions CI/CD workflow.

business-ai-governance-mesh

by Roy Yuen

$7

or 35 cr

A modular governance framework for AI policy, agent risk assessment, human-in-the-loop approvals, and audit trails.

A universal, multi-role AI engineering team for autonomous planning, implementation, and rigorous code review.

Your agent writes the code but never commits or documents what it learned. This skill handles both automatically after every task.

Automatically generate and update a professional CHANGELOG.md from your git history and Conventional Commits.