Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
Run deep research tasks using the Parallel.ai Task API and write results directly to markdown files without loading them into context. Use when the user asks to research a topic, investigate a question, perform deep research or parallel research, or to gather web intelligence on any subject. Triggers on research…
Manage Huly issues and cards with full CRUD operations, status changes, and chat/comments. Use when Claude needs to (1) list, create, update, or delete issues in Huly, (2) change issue status or priority, (3) add or read comments on issues/cards, (4) search for issues, or (5) manage projects. Triggers on requests…
Dispatch tasks to the pi coding agent as a background sub-agent. Use when you want to run a coding task in parallel using a different model/provider (e.g., GPT-5, Gemini, Codex) via the pi CLI. Supports any task pi can handle — code generation, refactoring, analysis, file operations. Progress streams to stderr, final…
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Help users create high-quality skills by discovering and incorporating proven methodologies from domain experts. Use this skill BEFORE skill-creator when users want to create a new skill - it enhances skill-creator by first identifying expert frameworks and best practices to incorporate. Triggers on requests like…
Transcribe YouTube videos with high accuracy. Downloads audio via yt-dlp and auto-routes to parakeet-mlx (local, Apple Silicon) or AssemblyAI (speaker diarization for podcasts). Use when the user asks to transcribe a YouTube video, get a transcript from a YouTube URL, or extract text from a YouTube link. Also…
Full bug-fix pipeline from root cause analysis through implementation. Separates investigation, proposal, alignment, and execution into distinct agent responsibilities. Also applies to features and refactors by skipping root cause analysis and starting at proposal.
Explore the solution space after the problem is defined. Evaluate approaches, form project-specific principles, and pick a direction. Sits between problem definition and planning. Use when the problem is defined but the approach isn't decided yet.
Execute the approved proposal. Sub-agents build in parallel, each assigned a domain scope. Verification checks against the problem and principles, not the proposal document. Two-round iteration limit on failures. Use after planning has produced an approved proposal.
Turn a defined problem and chosen direction into a concrete proposal. Two Codex agents propose independently, Opus synthesizes the best parts, user approves. Use after problem definition (and design, if applicable), before implementation.
Frame and clarify problems before any planning or implementation begins. Use when starting new work, when requirements are unclear, or when the user describes what they want built. This is the first step — before planning, before code.
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