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Adds the agent-launcher/ top-level domain — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork) for building Claude Managed Agents (CMA) in the user's own account. Every session starts with a goal (./my-agent/goal.json, surfaced by an opt-in AGENT_LAUNCHER_SESSION=1 SessionStart hook + /cs:goal); loop_compiler.py compiles that goal into a bounded grade->iterate loop (CMA user.define_outcome self-grading, max_iterations 1..20), a recurring POSIX-cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. - 6 skills: agent-launcher-orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up - 18 stdlib-only deterministic scaffolder tools (NO network/API calls; live launches emitted as BYOK curl that never prints the key); all pass --help/--sample - 4 agents (orchestrator + interviewer + grader + deployer), 8 /cs:* commands - opt-in SessionStart/SessionEnd hooks (exit 0 on any error), 5 shared references, 4 assets (build-sheet schema + overview/next-directions templates + example) - validators enforce CMA limits (<=20 skills/session, <=8 memory stores, depth-1 multiagent, max_iterations <=20, <=1000 deployments/org) - registered in marketplace.json; headline counters trued up via derive_counters.py --check (skills 362->368, domains 18->19, tools 644->664, refs 741->746, agents 102->106, commands 116->124, plugins 88->89) Distinct from engineering/agent-harness (generic bounded loop over any domain) and engineering/write-a-skill (authors Claude Code skills, not CMAs). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012FwXG6TqCXKZQvF4iD69cv
28 lines
1.4 KiB
Markdown
28 lines
1.4 KiB
Markdown
---
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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 ./my-agent/goal.json, routes to the right phase (interview → stage-launch → grade-iterate → run-without-you → wrap-up), compiles the loop/workflow, and forks to the phase skill. Emits BYOK curl; never makes API calls or prints the key.
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argument-hint: "[optional: a one-sentence goal to set first]"
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---
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# /cs:launch — build/resume a Claude Managed Agent
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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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