using-git-notes-for-ai-context
Skill0 starsChanged 7 months agoCC-BY-SA-4.0View on GitHub
Reads, writes, and configures git notes and trailers for AI agent context — attribution, decision reasoning, prompts, and CI/CD metadata. Sets up namespace conventions, hook automation, team sync, and compliance. Use when storing AI attribution in git, setting up git notes for AI tracking, querying constraints or directives before modifying code, configuring notes sync for a team, choosing between git notes and trailers, or when the user mentions git notes, git trailers, AI attribution, AI provenance, Lore protocol, or decision context in commits.
- Commits and pushes
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
Licensed with conditions — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill 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.
In this repository42 other files it gives its agents.
- applying-composition-over-inheritanceSkill
- applying-practical-typographySkill
- applying-vertical-slice-architectureSkill
- arazzo-specificationSkill
- assessing-platform-scalabilitySkill
- auto-improving-agents-mdSkill
- balancing-couplingSkill
- benchmarking-with-hyperfineSkill
- building-tuning-panelsSkill
- commenting-codeSkill
- creating-c4-diagramsSkill
- designing-backend-error-messagesSkill
- designing-deep-modulesSkill
- designing-rest-apisSkill
- explaining-code-changesSkill
- humanizing-proseSkill
- kotlin-functional-programmingSkill
- making-invalid-states-unrepresentableSkill
- markdown-section-summarizerSkill
- mermaid-sequence-diagramsSkill
- obsidian-best-practicesSkill
- property-based-testing-with-kotestSkill
- quizzing-before-approvingSkill
- rendering-clean-diagramsSkill
- reviewing-pull-requestsSkill
- searching-and-extracting-web-with-parallel-cliSkill
- slicing-pbisSkill
- specifying-by-exampleSkill
- tdd-with-llm-agentsSkill
- threat-modelingSkill
- toon-formatSkill
- tweet-reviewSkill
- using-lightpandaSkill
- using-markitSkill
- writing-agent-skillsSkill
- writing-anki-cardsSkill
- writing-checklist-communicationsSkill
- writing-git-commit-messagesSkill
- writing-okrsSkill
- writing-persuasive-documentsSkill
- writing-project-status-reportsSkill
- writing-wiki-contentSkill
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.

