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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
34 lines
1.5 KiB
Markdown
34 lines
1.5 KiB
Markdown
---
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title: "/cs-launch — Slash Command for AI Coding Agents"
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description: "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."
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---
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# /cs-launch
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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-launch.md">Source</a></span>
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</div>
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Route through the `agent-launcher-orchestrator` skill.
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**$ARGUMENTS**
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## Steps
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1. If `$ARGUMENTS` is a goal and no `./my-agent/goal.json` exists, set it:
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`python3 agent-launcher/skills/agent-launcher-orchestrator/scripts/goal_state.py init --goal "$ARGUMENTS"`.
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2. Route from the current phase:
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`python3 agent-launcher/skills/agent-launcher-orchestrator/scripts/goal_router.py --out-dir ./my-agent`
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— act on exit 0 (route) / 3 (ask the printed question) / 4 (refuse; get one sentence).
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3. Compile the loop:
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`python3 agent-launcher/skills/agent-launcher-orchestrator/scripts/loop_compiler.py --out-dir ./my-agent`.
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4. Invoke the routed phase skill; on completion, `goal_state.py advance` and print a
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≤100-word digest (phase done, artifact paths, loop shape, one next step).
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## Refusals
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- No goal set → run `/cs:goal set "..."` first.
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- Under-3-word goal → get one sentence naming the one job.
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- Never touch the network or the API key.
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