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Catalog

All AI skills

20 skills. Every one is readable here; downloads and live use need a subscription.

rich-elicitation

Asks clarifying questions in multiple rounds before starting ambiguous tasks. Fires when 2+ task dimensions each have 3+ viable answers.

idea-os

Five-phase pipeline (triage → clarify → research → PRD → plan) that turns a raw idea into four linked files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with mermaid user journey and kill criteria.

using-superpowers

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

ask-questions-if-underspecified

Clarify requirements before implementing. Use when serious doubts arise.

brave-man

Runs a structured clarifying interview for new project requests before building. Instead of writing code, it outputs a fully specified prompt.md for a fresh agent session to execute, preventing expensive mistakes.

ask-copilot

Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction.

auto-research

Research uncertain questions with an explicit, user-approved web search or ChatGPT consultation, then present options and wait for implementation approval.

decision-navigator

Guide stuck or overwhelmed users through targeted branching questions until they reach concrete next steps.

dwarf-expert

Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.

faf-go

Guided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go and answer questions till done.

falsify

The scientific thinking protocol for AI agents. Use when facing complex, ambiguous, or high-stakes questions where guessing is costly: hypothesis → attempt to break it → evidence → calibrated conclusion.

hig-components-controls

Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.

hig-components-menus

Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.

hig-inputs

Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.

hig-technologies

Check for .claude/apple-design-context.md before asking questions. Use existing context and only ask for information not already covered.

orca-replay

Answers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.

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.

skill-router

Use when the user is unsure which skill to use or where to start. Interviews the user with targeted questions and recommends the best skill(s) from the installed library for their goal.

telegram-bot-messaging

Send Telegram messages, files, and alerts via bot API; ask questions with inline buttons and wait for the answer. Supports multiple bots, named chat targets, and CI/cron/hook notifications.

wiki-qa

Answer repository questions grounded entirely in source code evidence. Use when user asks a question about the codebase, user wants to understand a specific file, function, or component, or user asks "how does X work" or "where is Y defined".