mirror of
https://github.com/alirezarezvani/claude-skills.git
synced 2026-08-28 04:24:58 +00:00
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
1.3 KiB
1.3 KiB
| title | description |
|---|---|
| /cs-goal — Slash Command for AI Coding Agents | 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. |
/cs-goal
:material-console: Slash Command
:material-github: Source
The goal is one sentence for one agent. It selects the phase and the loop shape.
$ARGUMENTS
Run goal_state.py under agent-launcher/skills/agent-launcher-orchestrator/scripts/:
set "<goal>"→goal_state.py init --goal "<goal>"(orset --goalif it exists).status→goal_state.py status(prints goal, agent_name, phase, phases_done, loop).advance→goal_state.py advance(moves to the next phase).phase <name>→goal_state.py set --phase <name>(interview | stage-launch | grade-iterate | run-without-you | wrap-up | done).
Enable auto-surfacing each session with export AGENT_LAUNCHER_SESSION=1 (the
opt-in SessionStart hook). Two jobs → two goals in two ./my-agent-*/ folders.