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Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use before any plan/spec exists when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements.
interview-me is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # Interview Me ## Overview What people ask for and what they actually want are different things. They ask for "a dashboard" because that's what one asks for, no. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding interview-me to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install chankov/agent-fleetReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# Interview Me ## Overview What people ask for and what they actually want are different things. They ask for "a dashboard" because that's what one asks for, not because a dashboar