medusa
Medusa headless commerce - modules, workflows, API routes, admin UI
mnemos
Task-scoped memory lifecycle — typed MnemoGraph prevents lossy context compaction by treating facts/decisions/code-refs/handoffs as distinct node types with per-type eviction policies
nodejs-backend
Node.js backend patterns with Express/Fastify, repositories
database-schema
Schema awareness - read before coding, type generation, prevent column errors
supabase-python
FastAPI with Supabase and SQLAlchemy/SQLModel
supabase
Core Supabase CLI, migrations, RLS, Edge Functions
shopify-apps
Shopify app development - Remix, Admin API, checkout extensions
supabase-node
Express/Hono with Supabase and Drizzle ORM
android-java
Android Java development with MVVM, ViewBinding, and Espresso testing
ai-models
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
azure-cosmosdb
Azure Cosmos DB partition keys, consistency levels, change feed, SDK patterns
credentials
Centralized API key management from Access.txt
cpg-analysis
Deep code property graph analysis with Joern CPG (AST+CFG+PDG) and CodeQL for control flow, data flow, taint analysis, and security auditing
council-review
Multi-model validation council — auto-validate plans, architecture changes, and PRs via validate-plan/review before executing
commit-hygiene
Atomic commits, PR size limits, commit thresholds, stacked PRs
cloudflare-d1
Cloudflare D1 SQLite database with Workers, Drizzle ORM, migrations
base
Universal coding patterns, constraints, TDD workflow, atomic todos
cross-agent-delegation
Cross-agent task routing — Codex auto-review, Kimi delegation by complexity score (iCPG + Claude reasoning), iCPG + Mnemos mandatory for all agents
aws-dynamodb
AWS DynamoDB single-table design, GSI patterns, SDK v3 TypeScript/Python
codex-review
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
aws-aurora
AWS Aurora Serverless v2, RDS Proxy, Data API, connection pooling
android-kotlin
Android Kotlin development with Coroutines, Jetpack Compose, Hilt, and MockK testing
agentic-development
Build AI agents with Pydantic AI (Python) and Claude SDK (Node.js)
agent-teams
Claude Code Agent Teams - default team-based development with strict TDD pipeline enforcement
aeo-optimization
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
site-architecture
Technical SEO - robots.txt, sitemap, meta tags, Core Web Vitals
code-deduplication
Prevent semantic code duplication with capability index and check-before-write
code-graph
AST-based code graph for fast symbol lookup, dependency analysis, and blast radius via codebase-memory-mcp MCP server
code-review
Mandatory code reviews via /code-review before commits and deploys
design-lab
Conduct design interviews, generate five distinct UI variations in a temporary design lab, collect feedback, and produce implementation plans. Use when the user wants to explore UI design options, redesign existing components, or create new UI with multiple approaches to compare.
superpowers-workflow
Enforces a disciplined workflow for coding, debugging, refactoring, and automation: brainstorm -> plan -> implement with verification (prefer TDD) -> review -> finish. Use for almost any non-trivial change.
superpowers-tdd
Applies tests-first discipline (red/green/refactor) and adds regression tests for bugs. Use when implementing features, fixing bugs, or refactoring.
superpowers-review
Reviews changes for correctness, edge cases, style, security, and maintainability with severity levels (Blocker/Major/Minor/Nit). Use before finalizing changes.
superpowers-rest-automation
Builds reliable automations that integrate with REST APIs: auth, pagination, retries, rate limits, idempotency, webhooks, data mapping, and safe error handling. Use when calling external APIs, syncing systems, or building ETL-style workflows.
superpowers-python-automation
Implements reliable automations in Python for REST APIs: httpx/requests patterns, retries, timeouts, pagination, typing, config, logging, and tests. Use when writing Python scripts/services that call external APIs.
superpowers-plan
Writes an implementation plan with small steps, exact files to touch, and verification commands. Use before making non-trivial changes.
superpowers-finish
Finalizes work: runs verification, summarizes changes, notes follow-ups, and ensures repo hygiene. Use at the end of an implementation or debugging session.
superpowers-debug
Systematic debugging: reproduce, isolate, form hypotheses, instrument, fix, and add regression tests. Use when troubleshooting errors, failing tests, or unexpected behavior.
superpowers-brainstorm
Produces a structured brainstorm: goals, constraints, risks, options, recommendation, and acceptance criteria. Use before non-trivial implementation or design changes.
tech-spec
Write a typed call-stack architecture handoff.
writing-great-skills
Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.
tdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
teach
Teach the user a new skill or concept, within this workspace.
grill-me
A relentless interview to sharpen a plan or design.
grill-with-docs
A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
grilling
Interview the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
prototype
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
handoff
Compact the current conversation into a handoff document for another agent to pick up.
setup-matt-pocock-skills
Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
herdr
Control herdr from inside it. Manage workspaces and tabs, split panes, spawn agents, read output, start dev servers, and wait for state changes — all via CLI commands that talk to the running herdr instance over a local unix socket. Use when running inside herdr (HERDR_ENV=1).
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