Automate Altoviz tasks via Rube MCP (Composio). Always search tools first for current schemas.

Agent skill for challenges - invoke with $agent-challenges

Security checklist: OWASP top 10, secret scanning, input validation, and auth patterns

Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Use when writing or updating unit tests (in any language).

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Connect Query patterns for API calls. Use when working with mutations, queries, or data fetching.

BluOS CLI (blu) for discovery, playback, grouping, and volume.

BluOS CLI (blu) for discovery, playback, grouping, and volume.

BluOS CLI (blu) for discovery, playback, grouping, and volume.

BluOS CLI (blu) for discovery, playback, grouping, and volume.

Connect Query patterns for API calls. Use when working with mutations, queries, or data fetching.

Use when comparing two prompt variants, defining quality/efficiency/robustness metrics, or deciding whether to adopt a challenger prompt over a baseline.

Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, literature reviews over published papers, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.

Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.

UiPath Coded Functions — deterministic Python or TypeScript/JavaScript units built with the `uip function` CLI (`new -l py|ts|js`, `init`, `serve`, `run`, `pack`, `publish`); the `functions` map in `uipath.json` marks the project. Python: Pydantic Input/Output models, lazy `UiPath()` SDK singleton. JS/TS: `defineFunction` + `defineSchema<T>()` contracts, HTTP endpoints for Coded App backends or run-as-job, `FunctionError`. Rule-based logic, data transforms, ERP/Integration Service calls — invoked as Maestro Service Tasks, from agents, via Orchestrator `POST /Jobs/StartJobs`, or HTTP triggers; no LLM reasoning or agent loop. For LLM/agentic projects (LangGraph, LlamaIndex, OpenAI Agents, `agent.json`)→uipath-agents. For the Coded App frontend itself (React app code, PKCE setup, app deploy)→uipath-coded-apps.

Iterate on a PR until CI passes. Use when you need to fix CI failures, address review feedback, or continuously push fixes until all checks are green. Automates the feedback-fix-push-wait cycle.

Quick reference for TaskEither. Use when user needs async error handling, API calls, or Promise-based operations that can fail.