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claude-skills/docs/commands/cs-launch.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-launch — Slash Command for AI Coding Agents Main entry / resume for building a Claude Managed Agent. Runs the agent-launcher-orchestrator skill from the current session goal — reads. Slash command for Claude Code, Codex CLI, Gemini CLI.

/cs-launch

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

Route through the agent-launcher-orchestrator skill.

$ARGUMENTS

Steps

  1. If $ARGUMENTS is a goal and no ./my-agent/goal.json exists, set it: python3 agent-launcher/skills/agent-launcher-orchestrator/scripts/goal_state.py init --goal "$ARGUMENTS".
  2. Route from the current phase: python3 agent-launcher/skills/agent-launcher-orchestrator/scripts/goal_router.py --out-dir ./my-agent — act on exit 0 (route) / 3 (ask the printed question) / 4 (refuse; get one sentence).
  3. Compile the loop: python3 agent-launcher/skills/agent-launcher-orchestrator/scripts/loop_compiler.py --out-dir ./my-agent.
  4. Invoke the routed phase skill; on completion, goal_state.py advance and print a ≤100-word digest (phase done, artifact paths, loop shape, one next step).

Refusals

  • No goal set → run /cs:goal set "..." first.
  • Under-3-word goal → get one sentence naming the one job.
  • Never touch the network or the API key.