claude-skills / agent-launcher
CLAUDE.md0 starsChanged 6 months agoMITView on GitHub
Guidance for working inside agent-launcher/. See the root CLAUDE.md for repo-wide rules. A plugin that scaffolds and launches Claude Managed Agents (CMA) in the user's own Anthropic account, organized around a per-session goal that compiles into a loop or workflow. Inspired by anthropics/launch-your-agent (Apache-2.0); independent re-implementation, not a fork. 1. Deterministic scaffolders only. Every script under skills/*/scripts/ is stdlib-only and makes no network/API calls. Live launches are emitted as BYOK curl. Do not add requests, anthropic, or any network client.…
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1 other project uses a version of this.
Adopted by
Most recently taken up by
- Adarshukumar/skillsword for word, first seen Sep 22, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Adarshukumar/skills★ 1100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository19 other files it gives its agents.
- agents/CLAUDE.mdCLAUDE.md
- business-growth/CLAUDE.mdCLAUDE.md
- business-operations/CLAUDE.mdCLAUDE.md
- CLAUDE.mdCLAUDE.md
- c-level-advisor/CLAUDE.mdCLAUDE.md
- commercial/CLAUDE.mdCLAUDE.md
- engineering-team/CLAUDE.mdCLAUDE.md
- finance/CLAUDE.mdCLAUDE.md
- markdown-html/CLAUDE.mdCLAUDE.md
- marketing-skill/CLAUDE.mdCLAUDE.md
- product-team/CLAUDE.mdCLAUDE.md
- project-management/CLAUDE.mdCLAUDE.md
- ra-qm-team/CLAUDE.mdCLAUDE.md
- research-ops/CLAUDE.mdCLAUDE.md
- standards/CLAUDE.mdCLAUDE.md
- templates/CLAUDE.mdCLAUDE.md
- docs/llms-full.txtllms.txt
- docs/llms.txtllms.txt
- loop-librarySkill
The file
We split this CLAUDE.md into the rules it gives an agent
8 rules. About 0 are common, 0 are distinctive, and 8 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
Deterministic scaffolders only: Every script under skills/*/scripts/ is stdlib-only and makes no network/API calls.
- Very specific: line 20
CMA limits are law: Keep references/cma-primitives.md as the source of truth for ceilings.
- Very specific: line 26
The folder is the user's: All artifacts go under ./my-agent/.
- Very specific: line 42
Every tool: argparse with real --help, a --sample that runs a deterministic demo and exits 0, and JSON output via --json where a machine …
- Very specific: line 44
Default output dir ./my-agent/.
- Very specific: line 45
Import shared logic via relative sys.path insert (see how the orchestrator tools import goal_state).
- Very specific: line 50
Every SKILL.md ships a "Forcing-question library" (Matt Pocock grill-with-docs): walk one question at a time, recommend an answer, cite the …
- Very specific: line 60
Keep SPEC.md authoritative.
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CLAUDE.md — agent-launcher domain
Guidance for working inside agent-launcher/. See the root CLAUDE.md for
repo-wide rules.
What this domain is
A plugin that scaffolds and launches Claude Managed Agents (CMA) in the user's
own Anthropic account, organized around a per-session goal that compiles into a
loop or workflow. Inspired by anthropics/launch-your-agent (Apache-2.0);
independent re-implementation, not a fork.
Non-negotiable rules (enforced by SPEC.md + validators)
- Deterministic scaffolders only. Every script under
skills/*/scripts/is stdlib-only and makes no network/API calls. Live launches are emitted as BYOK curl. Do not addrequests,anthropic, or any network client. - Never surface the API key. Launch scripts read
$ANTHROPIC_API_KEY; no tool echoes/logs/writes a key.payload_validator.pyand reviewers check this. - CMA limits are law. Keep
references/cma-primitives.mdas the source of truth for ceilings; validators must match it. - Bounded loops only.
loop_compiler.pynever emits a grade→iterate loop without amax_iterationscap (1..20). - The hook is opt-in and crash-proof. Gated by
AGENT_LAUNCHER_SESSION=1; exits 0 on any error. Never make it fire unconditionally. - The folder is the user's. All artifacts go under
./my-agent/; scripts accept--out-dirand default there. Never write into the plugin folder.
Structure
skills/agent-launcher-orchestrator/—context: forkgoal router (goal_router.py,goal_state.py,loop_compiler.py).skills/{interview,stage-launch,grade-iterate,run-without-you,wrap-up}/— one phase each, 3 tools each.agents/—cs-agent-launcher-orchestrator+ 3 phase specialists.commands/— 8/cs:*commands.hooks/— opt-insession_start.py/session_end.py+hooks.json.references/— 5 shared docs.assets/— schema + templates + example.
Tool conventions
- Every tool:
argparsewith real--help, a--samplethat runs a deterministic demo and exits 0, and JSON output via--jsonwhere a machine reads it. - Default output dir
./my-agent/; never assume network access. - Import shared logic via relative
sys.pathinsert (see how the orchestrator tools importgoal_state).
Forcing-question discipline
Every SKILL.md ships a "Forcing-question library" (Matt Pocock grill-with-docs):
walk one question at a time, recommend an answer, cite the reference. The
/cs:grill-agent-launcher command surfaces them.
When editing
- Changing a CMA limit → update
references/cma-primitives.mdand every validator in lockstep. - Adding a loop shape → update
loop_compiler.pyandreferences/loops-and-workflows.md. - Keep
SPEC.mdauthoritative; if you ship something different, record it in the delivery report.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

