framework/engineering/skills/flowai-skill-conduct-qa-session/SKILL.md
How to conduct a Q&A session with the user
npx skillsauth add korchasa/flow flowai-skill-conduct-qa-sessionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
When you need to clarify requirements, gather missing information, or discuss design choices with the user, follow these strict guidelines.
Bad: "Which database?"
Good: "1. Database Selection: For the session storage, we have two main options. Which do you prefer? - Redis: Extremely fast, ideal for ephemeral data with TTL, but adds a new infrastructure dependency. - PostgreSQL: We already use it, simplifies the stack, but slightly slower for high-frequency reads/writes.
*Recommendation: Start with Postgres for simplicity, migrate to Redis if load increases.*"
tools
Delegate a task to another AI IDE's CLI (codex / claude / opencode / cursor-agent) through an isolated-context subagent. Triggers on "delegate to <ide>", "have <ide> do <task>", "execute <task> in <ide>", "offload to <ide>". For one-shot relay or fan-out comparison use `ai-ide-runner` instead.
tools
Run prompts in Claude Code, OpenCode, Cursor, or Codex CLIs from the current session — pick one IDE, fan out across several, or compare models. You are a courier that relays the other runtime's stdout verbatim, do not synthesise your own answer. Use on "run in <ide>", "compare <ide> vs <ide>", "try on <model>", "which IDE handles X better", "run across models".
tools
Recommend which LLM model to use for a task. Use when asked "which model / best LLM for X", "pick a model for this task", or for a model shortlist ranked by live leaderboard evidence (coding, reasoning, agentic, tool-use, price, speed). Live-fetches public leaderboards and ranks models with per-axis rationale and citations.
development
Produce a comprehensive Product Requirements Document (PRD). Use when the user asks to write a PRD or formalize a feature's scope, goals, and success metrics.