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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
27 lines
1.3 KiB
Markdown
27 lines
1.3 KiB
Markdown
---
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title: "/cs-goal — Slash Command for AI Coding Agents"
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description: "Set, show, or advance the per-session agent-launcher goal (./my-agent/goal.json) — the through-line of a CMA launch. Backs the opt-in SessionStart. Slash command for Claude Code, Codex CLI, Gemini CLI."
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---
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# /cs-goal
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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-goal.md">Source</a></span>
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</div>
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The goal is one sentence for one agent. It selects the phase and the loop shape.
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**$ARGUMENTS**
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Run `goal_state.py` under `agent-launcher/skills/agent-launcher-orchestrator/scripts/`:
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- `set "<goal>"` → `goal_state.py init --goal "<goal>"` (or `set --goal` if it exists).
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- `status` → `goal_state.py status` (prints goal, agent_name, phase, phases_done, loop).
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- `advance` → `goal_state.py advance` (moves to the next phase).
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- `phase <name>` → `goal_state.py set --phase <name>` (interview | stage-launch |
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grade-iterate | run-without-you | wrap-up | done).
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Enable auto-surfacing each session with `export AGENT_LAUNCHER_SESSION=1` (the
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opt-in SessionStart hook). Two jobs → two goals in two `./my-agent-*/` folders.
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