chatgpt-ads
CLAUDE.md1 starsChanged 2 months agoMITView on GitHub
This repository is configured as a native Claude Plugin and Marketplace package via marketplace.json, .claude-plugin/plugin.json, and the root SKILL.md orchestrator.
In this repository5 other files it gives its agents.
- AGENTS.mdAGENTS.md
- runtime/claude.mdCLAUDE.md
- llms-full.txtllms.txt
- llms.txtllms.txt
- chatgpt-ads-brainSkill
The file
We split this CLAUDE.md into the rules it gives an agent
1 rule. About 0 are common, 0 are distinctive, and 1 is 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.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 7
Read AGENTS.md and SKILL.md.
≈ “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 Code & Marketplace Entrypoint
This repository is configured as a native Claude Plugin and Marketplace package via marketplace.json, .claude-plugin/plugin.json, and the root SKILL.md orchestrator.
Quickstart for Claude Code
- Read AGENTS.md and SKILL.md.
- For runtime-specific adapters and headless execution guidance, consult runtime/claude.md.
- The package exposes 12 specialized advertising skills under skills/ covering research, planning, creative, measurement, monitor, and policy.
Claude Marketplace & Plugin Configuration
- Marketplace Manifest:
marketplace.json(Claude Plugin schema) - Plugin Manifest:
.claude-plugin/plugin.json - Universal Link:
install.shautomatically installs the skill to~/.claude/skills/chatgpt-ads
Claude Commands
# Query knowledge base
python3 -m chatgpt_ads_brain query "creative policy"
# Run complete deterministic verification
python3 scripts/validate_pack.py
python3 -m unittest discover -s tests -p "test_*.py"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.

