Skill UI

A specialized audit skill designed to identify and quantify resource leakage, excessive costs, and billing vulnerabilities within complex development tool workflows (e.g., GitHub Apps). It traces webhook events, queue processing, and model calls to pinpoint where token burn or unauthorized resource usage is occurring, ensuring cost efficiency and clean billing practices.

This skill provides comprehensive automation for managing GitHub workflows across the entire development lifecycle. It covers detailed issue triage, PR review status checks, CI/CD failure debugging, official release management, and security monitoring using the GitHub CLI. Ideal for maintaining open-source project health and streamlining team development processes.

This skill provides comprehensive guardrails for handling Protected Health Information (PHI) in US healthcare software. It guides development teams on data classification, security best practices, access control, and audit logging to ensure strict adherence to HIPAA regulations. Use it when dealing with patient data storage, transmission, or processing to prevent breaches and maintain compliance.

This skill file acts as a Japanese translation placeholder for the 'product-capability' module. It indicates that the localized content is currently under development and not functional. Users should refer to the original English skill file for the core functionality and detailed implementation.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

Context engineering optimizes AI agent performance by curating information hierarchy. It involves managing rules files, specs, source code, and conversation history to prevent hallucinations and maintain focus. Use this skill when starting new sessions, switching tasks, or improving agent output quality in development projects.

This skill guides users to discover and install specialized agent capabilities from a vast open marketplace. It handles complex natural language queries like "how do I do X" or "find a skill for Y," ensuring the user receives the most relevant, high-quality, and battle-tested tools for development, testing, or design tasks, followed by secure, managed installation procedures.

A comprehensive guide to achieving high code quality in Go projects using `golangci-lint`. This skill covers the entire development lifecycle, including setting up the essential `.golangci.yml` configuration, running automated linters (style, security, complexity), automatically fixing issues, interpreting detailed lint output, and correctly suppressing false positives using `//nolint` directives. Ideal for enforcing best practices in CI/CD pipelines and maintaining legacy codebases.

A comprehensive guide to tracking the rapidly evolving Go programming ecosystem. It curates official documentation (go.dev, pkg.go.dev), essential newsletters, active communities (r/golang, Slack), influential developers, and top blogs. Use this skill when you need to stay current with Go language updates, discover new libraries, or connect with the development community.

This skill helps refine vague, raw ideas into sharp, actionable concepts. It guides users through structured divergent thinking (expanding options, generating variations) and convergent thinking (stress-testing assumptions, clustering directions). The process culminates in a detailed one-pager including Problem Statements, MVP Scope, and key assumptions to validate, ensuring focus and clarity before development.

This skill acts as an advanced extension layer, implementing a self-evolution protocol, maintaining session state continuity (Compaction), and providing KPI-style performance summaries. It allows users to simulate continuous professional development, track metrics, and master complex role-playing and interaction skills across multiple sessions, ensuring performance baselines are continuously adjusted and internalized.

This skill enables users to create new AI skills from scratch, modify existing ones, and optimize performance through evaluation and benchmarking. It supports iterative development loops, including drafting, testing with prompts, quantitative analysis, and refining descriptions for better triggering accuracy. Ideal for developers building custom agent workflows.