context-to-action-skills
AGENTS.md2 starsChanged 58 days agoMITView on GitHub
This repo turns messy workplace context into conversation state and then into context-aware responses. Default route: reduce-to-facts -> clear-ask / decision-brief / meeting-to-actions -> follow-up-draft / status-update / brief-me
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,542 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository7 other files it gives its agents.
- brief-meSkill
- clear-askSkill
- decision-briefSkill
- follow-up-draftSkill
- meeting-to-actionsSkill
- reduce-to-factsSkill
- status-updateSkill
The file
We split this AGENTS.md into the rules it gives an agent
8 rules. About 0 are common, 6 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 7
Default route: reduce-to-facts -> clear-ask / decision-brief / meeting-to-actions -> follow-up-draft / status-update / brief-me
- Very specific: line 12
Start with reduce-to-facts for dense or ambiguous source.
- Distinctive: line 14
Do not send, publish, update tickets, create events, or mutate systems unless explicitly asked.
- Distinctive: line 15
Keep the pasted-context validation boundary intact.
- Distinctive: line 19
Prefer conversation state over long summaries.
- Distinctive: line 21
Use the smallest useful output.
- Distinctive: line 22
Prefer action-oriented artifacts over long summaries.
- Distinctive: line 23
Keep the seven visible skills stable unless scope is explicitly changing.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.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
AGENTS
Repo model
This repo turns messy workplace context into conversation state and then into context-aware responses.
Default route: reduce-to-facts -> clear-ask / decision-brief / meeting-to-actions -> follow-up-draft / status-update / brief-me
Safety rules
- Read before write.
- Start with
reduce-to-factsfor dense or ambiguous source. - Preserve uncertainty instead of smoothing it away.
- Do not send, publish, update tickets, create events, or mutate systems unless explicitly asked.
- Keep the pasted-context validation boundary intact.
Output rules
- Prefer conversation state over long summaries.
- Label facts, assumptions, source gaps, stakeholder sensitivities, and uncertainty.
- Use the smallest useful output.
- Prefer action-oriented artifacts over long summaries.
- Keep the seven visible skills stable unless scope is explicitly changing.
Validation commands
python scripts/validate_repo.py
python scripts/validate_examples.py
python scripts/validate_schemas.py
git diff --checkDocs-only edits: do not change
- skill names or count
- safety boundaries
- validation boundaries
- example semantics just for style
- connector or mutation claims
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.

