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claude-skills/docs/commands/cs-interview.md
Claude abd9c9d8de
docs(site): generate agent-launcher pages (18th domain) + nav 
generate-docs.py learns the agent-launcher domain (5 hardcoded maps extended);
regenerated docs tree: 343 skill pages / 96 agent pages / 122 command pages
(561 total). mkdocs.yml nav gains the Agent Launcher skill section (7 pages),
4 cs-agent-* agent entries, and 8 /cs:* command entries; all nav targets verified
to exist.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012FwXG6TqCXKZQvF4iD69cv
2026-08-24 17:26:12 +00:00

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title description
/cs-interview — Slash Command for AI Coding Agents Phase 1 — interview the founder into a validated CMA build sheet (primitives table + v1/v2 deferrals + eval plan) via the interview skill. No API key. Slash command for Claude Code, Codex CLI, Gemini CLI.

/cs-interview

:material-console: Slash Command :material-github: Source

Run the interview skill.

$ARGUMENTS

Steps

  1. Walk the six intake slots (job, trigger, inputs, actions, definition-of-done, recurrence) with AskUserQuestion — one at a time, recommend + cite.
  2. python3 agent-launcher/skills/interview/scripts/interview_planner.py --job "..." ... --out ./my-agent/plan.json
  3. python3 agent-launcher/skills/interview/scripts/build_sheet_builder.py --plan ./my-agent/plan.json --out-dir ./my-agent
  4. python3 agent-launcher/skills/interview/scripts/primitives_validator.py --sheet ./my-agent/build-sheet.json — fix FAIL, surface WARN.
  5. goal_state.py set --phase stage-launch --artifact build_sheet=./my-agent/build-sheet.json.

Mock connectors in v0 (schema-true custom tools); wire real MCP servers as v1 deferrals. v0 is the core job only.