my-ai-tools

blindspot-pass

Find unknown unknowns before starting implementation — searches git history, patterns, and architecture for hidden gotchas

capability-experiments

Experiment with model capabilities — HTML reports, embedded questionnaires, proactive research, multi-step reasoning

code-quality-review

Run an extremely strict maintainability and structural code quality review — flags abstraction issues, spaghetti growth, and boundary leaks

code-review

Review the diff since a fixed point along two axes — Conventions (does the code follow this repo's coding standards and Tidy First practices?) and Intent (does the change do what it claims to do?). Runs both reviews in parallel sub-agents and reports them side by side. Use when you want to review a branch, a PR, work-in-progress changes, or ask to "review since X".

codemap

Map codebase structure with parallel analysis — produces 7 documents about architecture, concerns, and conventions

commit-atomic

Group staged changes into atomic commits with commitizen convention

context-discovery

Discover context using MCP tools — fff, sem, ctx, qmd, codebase-memory-mcp for codebase understanding

doc-search

Search project documentation — ADRs, wiki entries, conventions via ripgrep, qmd, fff, and ctx

docs-update

Update docs when code changes — reviews commits and syncs user-facing documentation

draft-pull-request

Draft pull requests with structured descriptions using gh CLI

git-context

Search git history for context — commit messages, blame, related changes, impact analysis

handoffs

Create handoff plans for continuing work across sessions

Show all 33 bundled skills

implementation-logger

Log implementation decisions — tracks deviations from plan and captures rationale

llm-wiki

Build a persistent compounding wiki from raw sources using the LLM Wiki pattern

orchestrating-fusion

Coordinates a strong read-only lead with a cheaper implementation executor. Use for non-trivial coding tasks that benefit from separate planning, execution, and independent verification.

plannotator-setup-goal

Turn ideas into executable goal packages with guided interviews and codebase analysis

portless-local

Replace port numbers with stable named .localhost URLs for local development

pr-review

Fix PR review comments by implementing requested changes

prd

Generate Product Requirements Documents from feature ideas — plans specs and requirements

qmd-knowledge

Manage project knowledge with qmd — captures learnings, decisions, and conventions

Web & Frontend Featured

quiz-me

Verify understanding after implementation with targeted quizzes

ralph

Convert PRDs to prd.json format for the Ralph autonomous agent system

slop

Remove AI-generated code slop from git diffs to maintain code quality

Testing & QA Featured

spec-interview

Clarify requirements through targeted questions — uncovers unknown unknowns in specs

Testing & QA Featured

tdd

Guide through the Red-Green-Refactor cycle for test-driven development

Web & Frontend Featured

tmux

Control tmux sessions remotely — send commands, capture output, manage panes

AI & Automation Solid

ai-slop-remover

Remove AI-generated code patterns that don't match codebase style

Code & Development Solid

code-reviewer

Review code for quality, security, and best practices — read-only analysis

Data & Documents Solid

security-audit

Audit code for security vulnerabilities — read-only analysis

Testing & QA Solid

test-generator

Generate comprehensive tests for code changes

accountable-engineering

Guides disciplined AI-assisted engineering that avoids cognitive surrender and keeps humans accountable. Use for non-trivial implementation, architecture, security, or operational tasks.