Execute database operations via Supabase MCP (query/write/migration/logs/type generation). Triggers: query/statistics/export/insert/update/delete/fix/backfill/migrate/logs/alerts/type generation. Does not trigger for: pure architecture discussion or code planning. Write operations require confirmation; UPDATE/DELETE without WHERE is refused.

Stripe MCP transaction operations skill. Execute transaction operations via Stripe MCP server (https://mcp.stripe.com): customer management, products/prices, invoices, payment links, subscriptions, refunds, dispute handling, balance queries. Triggers: user requests Stripe operations including create customer, create product, create invoice, generate payment link, query transactions, process refunds, manage subscriptions, view disputes, check balance, etc.

Manage Workers/KV/R2/D1/Hyperdrive via Cloudflare MCP, perform observability/build troubleshooting/audit/container sandbox operations. Triggers: worker/KV/R2/D1/logs/build/deploy/screenshot/audit/sandbox. Three permission tiers: Diagnose (read-only), Change (write requires confirmation), Super Admin (isolated environment). Write operations must follow read-first, user confirmation, post-execution verification.

Research a topic thoroughly in this repo and return a structured summary with file references. Use when you need to understand how something works, find patterns across modules, or audit implementations.

Infrastructure operations for Cloudflare: Workers, KV, R2, D1, Hyperdrive, observability, builds, audit logs. Triggers: worker/KV/R2/D1/logs/build/deploy/audit. Three permission tiers: Diagnose (read-only), Change (write requires confirmation), Super Admin (isolated environment). Write operations follow read-first, confirm, execute, verify pattern. MCP is optional — works with Wrangler CLI/Dashboard too.

Seed a new runnable template under templates/NNN-slug/ from a short spec by chaining existing skills (intake → ship-faster stages) while keeping it clean and shareable (no secrets, minimal scope). Use when creating a new template quickly.

Extract a shareable runnable template under templates/NNN-slug/ from a real project: copy + de-brand + remove secrets + add env examples + docs, with minimal refactors. Use when you have a working project and want to turn it into a template.

Execute written implementation plans: first read and critically review the plan, then implement in small batches (default 3 tasks), produce verification evidence per batch and pause for feedback; must stop immediately and ask for help when blocked/tests fail/plan unclear. Trigger words: execute plan, implement plan, batch execution, follow the plan.

Request/execute structured code review: use after completing important tasks, at end of each execution batch, or before merge. Based on git diff range, compare against plan and requirements, output issue list by Critical/Important/Minor severity, and provide clear verdict on merge readiness. Trigger words: request code review, PR review, merge readiness, production readiness.

Documentation consistency reviewer that checks alignment between code implementation and documentation. Use when user requests reviewing documentation vs code consistency, checking if README/docs are outdated, verifying API documentation accuracy. Applicable for (1) reviewing README vs implementation consistency (2) checking if docs/ directory content is outdated (3) verifying API/config documentation accuracy (4) generating documentation consistency reports. Trigger words include doc review, documentation consistency, check outdated docs, verify docs.

Analyze code quality based on "Clean Code" principles. Identify naming, function size, duplication, over-engineering, and magic number issues with severity ratings and refactoring suggestions. Use when the user requests code quality checks, refactoring advice, Clean Code analysis, code smell detection, or mentions terms like code review, code quality, refactoring check.

Fetch transcripts from YouTube videos for summarization and analysis.

VS Code integration for viewing diffs and comparing files. Use when showing file differences to the user.

Speech-to-text transcription using Groq Whisper API. Supports m4a, mp3, wav, ogg, flac, webm.

Gmail CLI for searching emails, reading threads, sending messages, managing drafts, and handling labels/attachments.

Google Drive CLI for listing, searching, uploading, downloading, and sharing files and folders.

Google Calendar CLI for listing calendars, viewing/creating/updating events, and checking availability.

Interactive browser automation via Chrome DevTools Protocol. Use when you need to interact with web pages, test frontends, or when user interaction with a visible browser is required.

Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.

LangSmith Python SDK — trace, evaluate, and monitor LLM applications. Covers @traceable decorator, trace context manager, Client API, evaluate() / aevaluate(), comparative evaluation, custom evaluators, dataset management, prompt caching, ASGI middleware, and pytest plugin.

LangGraph (Python) — build stateful, controllable agent graphs with checkpointing, streaming, persistence, interrupts, fault tolerance, and durable execution. Covers both Graph API (StateGraph) and Functional API (@entrypoint/@task).

LangGraph Graph API (Python) — build explicit DAG agent workflows with StateGraph, typed state, nodes, edges, Command routing, Send fan-out, checkpointers, interrupts, and streaming. Use when you need explicit control flow and graph topology.

LangGraph Functional API (Python) — build stateful agent workflows with @entrypoint and @task decorators. Imperative Python style with LangGraph persistence, streaming, HITL, and durable execution. Ideal for wrapping existing agents (CrewAI, AutoGen, Strands) or complex parallel task logic.

LangChain Python package — new create_agent() factory (builds a LangGraph agent from a model string + tools + middleware), plus a comprehensive middleware system covering HITL, PII redaction, model fallback, rate limiting, auto-summarization, context editing, shell tools, and todo planning.