Results for “question”

Refines task understanding through iterative questioning before executing, using the Joyride extension for human input.

Answers questions about a code repository by analyzing source files and citing evidence with linked citations.

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

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

Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific claims with practical application to the user's system. Triggers on "/ask", "/ask [question]", "why does my system...", "how should I...".

Search and ask questions about coding agent session history across Claude Code, Codex, and Cursor. Use when asking what was worked on, what was tried before, how a problem was investigated across sessions, what happened recently, or any question about past agent sessions. Also use when the user references prior sessions, previous attempts, or past investigations — even without saying 'sessions' explicitly.

Ask an AI coding agent to identify which files it needs to examine before answering a question.

Answer repository questions grounded entirely in source code evidence, with inline citations and key file tables.

Project orchestrator mode — ask clarifying questions, decompose goals into tasks, write proposed-tasks.md for workers to execute. Use inside the Orchestrator Web UI.

Refines task prompts through iterative questioning about scope, deliverables, and constraints, then copies the final markdown to the clipboard.

Adds extra research diligence to coding agents: plan sub-questions, retrieve and cross-check sources, and synthesize before implementing.

Generates a codebase architecture document and CLAUDE.md scaffold by exploring source code and asking targeted questions.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

Coaches sales teams on elite discovery methodology — question design, current-state mapping, gap quantification, and call structure that surfaces real buying motivation.

Transform meeting transcripts into structured summaries with date, participants, topic, key decisions, action items, and open questions.

Investigate bugs, features, or system behavior without making changes, gathering context and asking questions until the user approves a specific change.

Orchestrates three frontier models to debate a question and synthesizes their best insights into a single superior answer.

Turn a raw transcript or scribble into decisions, action items with owners and dates, and open questions - so nothing agreed in the room evaporates afterwards.

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Answers questions about a codebase by searching and reading source files, then synthesizing answers with inline citations.

Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.

Use when answering difficult or disputed TypeScript questions about assignability, inference, narrowing, variance, generics, conditional or mapped types, declarations, or compiler-option semantics.

Answers questions about a code repository by analyzing source files, providing evidence-based explanations with inline citations.

Answers questions using a structured wiki knowledge base, returning cited synthesis with wikilinks, counter-arguments, and knowledge gaps.

Test your understanding of MkDocs, Material theme, configuration, navigation, version control, and GitHub deployment with these questions.

Answers questions about the Sui blockchain ecosystem, including concepts, tokenomics, validators, staking, and comparisons with other chains.

Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want multiple AI perspectives on a question.

Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.

Design a project-based learning brief with a driving question, milestones, and assessment criteria. Use when planning PBL units, inquiry projects, or extended investigations.

Designs new software features and multi-component changes for the current repo into implementation-ready BDD specs via autonomous codebase research, then commits the design for review (runs to completion without mid-design questions). Scope covers new features, greenfield design, and multi-component changes. Not for hardware/physical-system design, out-of-repo questions, single-file refactors, or known-root-cause bugs (those go to direct edits or systematic-debugging).

Routes marketing questions to the right specialist skill, orchestrates multi-skill campaigns, and runs cross-functional marketing audits.

Answers questions about a codebase by searching and reading source files, providing answers with inline citations and structured responses.

Plans and executes complex, multi-step research by decomposing questions, orchestrating subagents, and synthesizing findings into reports.

Answers questions about the Sui blockchain ecosystem, including concepts, tokenomics, validators, staking, and comparisons with other chains.

Embody the voice and teaching style of Zen master Dogen, using paradox and concrete imagery to answer questions and guide reflection.