Development

Applies React/TypeScript-specific technical decision criteria, anti-pattern detection, debugging, and frontend quality gates. Use when reviewing components, hooks, browser behavior, or frontend implementation completeness.

Language-agnostic coding principles for maintainability, readability, and quality. Use when implementing features, refactoring code, or reviewing code quality.

Technical decision criteria, anti-pattern detection, debugging techniques, and quality check workflow. Use when making technical decisions, detecting code smells, or performing quality assurance.

This skill should be used when planning and tracking complex feature implementations that require systematic task decomposition. Use this skill to break down large features into manageable, well-documented tasks with clear dependencies, action items, and success criteria. The skill provides a structured template and methodology for iterative planning and tracking throughout implementation.

Run script-like CSharp programs using dotnet run file.cs. Use this skill when users want to execute CSharp code directly, write one-liner scripts via stdin, or learn about run file directives.

Automatically generates comprehensive test suites (unit, integration, E2E) based on code and past testing patterns. Use when user says "write tests", "test this", "add coverage", or after fixing bugs to create regression tests. Eliminates testing friction for ADHD users.

Analyzes codebases to generate comprehensive documentation including structure, languages, frameworks, dependencies, design patterns, and technical debt. Use when user says "analyze repository", "understand codebase", "document project", or when exploring unfamiliar code.

Creates minimal working prototypes for quick idea validation. Single-file when possible, includes test data, ready to demo immediately. Use when user says "prototype", "MVP", "proof of concept", "quick demo".

Analyzes errors, searches past solutions in memory, provides immediate fixes with code examples, and saves solutions for future reference. Use when user says "debug this", "fix this error", "why is this failing", or when error messages appear like TypeError, ECONNREFUSED, CORS, 404, 500, etc.

Manages permanent memory storage for decisions, blockers, context, preferences, and procedures. Use when user says "remember", "save this decision", "what did we decide", "recall", "search memories", "any blockers", or when making important architectural decisions. Provides SDAM compensation through external memory.

Generates production-ready API clients with TypeScript types, retry logic, rate limiting, authentication (OAuth, API keys), error handling, and mock responses. Use when user says "integrate API", "API client", "connect to service", or requests third-party service integration.

[UNDER DEVELOPMENT - DO NOT USE] Searches the Notion Writing database for unpublished items that could become TIL posts. This skill is not yet integrated with the publishing workflow.

Scans GitHub commit history for commits that might make good TIL blog posts. Queries all your repos across all orgs via GitHub API. Tracks assessed commits in Notion to avoid duplicates across machines. Use when user asks for TIL ideas from their recent work.

Design and protect scalable backend systems with clean contracts, strong boundaries, and reliability. Use when the user says "angel", "angel backend", "backend strat" or "backend design". Produces architecture recommendations, refactor plans, and maintenance strategies.

Use for version release, GoReleaser automation, and publishing workflows in qcc_plus project

Use for Git workflow, branch strategy, and commit conventions in qcc_plus project

Use for coding standards, project conventions, and development best practices in qcc_plus project

Use for deployment, test server connection, and Docker operations in qcc_plus project

Use for debugging, troubleshooting, and diagnosing issues in qcc_plus project

Comprehensive guidelines for formatting research artifacts, technical surveys, rundowns, book summaries, and documentation with proper markdown formatting for Joplin notes. This skill should be loaded and followed whenever Joplin is mentioned in a prompt.

Creates self-contained Python scripts with inline PEP 723 metadata for UV. Embeds dependencies directly in script headers for zero-config execution via `uv run`. Triggers on keywords: uv script, single file script, inline dependencies, PEP 723, self-contained python, uv run script, standalone script

For CLI agents WITHOUT subagent support (e.g., Codex CLI). Search previous code agent sessions for specific work, decisions, or code patterns.

Use when analyzing YouTube videos for research or learning

Use for bugs, test failures, or unexpected behavior needing root cause