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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
29 lines
1.4 KiB
Markdown
29 lines
1.4 KiB
Markdown
---
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title: "/cs-interview — Slash Command for AI Coding Agents"
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description: "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."
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---
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# /cs-interview
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<div class="page-meta" markdown>
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<span class="meta-badge">:material-console: Slash Command</span>
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<span class="meta-badge">:material-github: <a href="https://github.com/alirezarezvani/2-claude-skills/tree/main/agent-launcher/commands/cs-interview.md">Source</a></span>
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</div>
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Run the `interview` skill.
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**$ARGUMENTS**
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## Steps
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1. Walk the six intake slots (job, trigger, inputs, actions, definition-of-done,
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recurrence) with AskUserQuestion — one at a time, recommend + cite.
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2. `python3 agent-launcher/skills/interview/scripts/interview_planner.py --job "..." ... --out ./my-agent/plan.json`
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3. `python3 agent-launcher/skills/interview/scripts/build_sheet_builder.py --plan ./my-agent/plan.json --out-dir ./my-agent`
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4. `python3 agent-launcher/skills/interview/scripts/primitives_validator.py --sheet ./my-agent/build-sheet.json`
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— fix FAIL, surface WARN.
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5. `goal_state.py set --phase stage-launch --artifact build_sheet=./my-agent/build-sheet.json`.
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Mock connectors in v0 (schema-true custom tools); wire real MCP servers as v1
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deferrals. v0 is the core job only.
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