core-claude-skills
CLAUDE.md4 starsChanged 8 days agoMITView on GitHub
Claude Code skills for operational documentation, transcript processing, task tracking and team coordination, with a knowledge loop (insights corpus, standing rules, knowledge wiki). Start with README.md; the shared contract every skill and companion tool reads is ecosystem.yaml. This repo is public and the vault it runs on is production data: docs/RELEASING.md (CR-026) is the release process and its privacy guardrails, enforced by the pre-push guard. - CRs are CR-nnn here (CS-CR-nnn seen from other repos). The public index is docs/proposals/README.md…
In this repository13 other files it gives its agents.
- analyticsSkill
- companySkill
- correspondenceSkill
- handoffSkill
- inboxSkill
- insightsSkill
- ops-baseSkill
- opsSkill
- outboxSkill
- preparationSkill
- tasksSkill
- transcriptSkill
- update-skillsSkill
The file
We split this CLAUDE.md into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
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 39
Commit real names, organisations, hosts, internal addresses or credentials (docs/RELEASING.md).
- Distinctive: line 40
Use emojis in code, docs or commit messages.
≈ “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
core-skills — project guidelines
Claude Code skills for operational documentation, transcript processing, task tracking and team
coordination, with a knowledge loop (insights corpus, standing rules, knowledge wiki). Start with
README.md; the shared contract every skill and companion tool reads is ecosystem.yaml. This
repo is public and the vault it runs on is production data: docs/RELEASING.md (CR-026) is
the release process and its privacy guardrails, enforced by the pre-push guard.
CRs, releases, versions
- CRs are
CR-nnnhere (CS-CR-nnnseen from other repos). The public index isdocs/proposals/README.md(generic title rows only); full specs stay in the private archive. - Releases go in
CHANGELOG.md, newest first;README.mdVersion andecosystem.yamlcore_skills_versionmatch the first entry. Runscripts/check-ecosystem-alignment.shbefore a release commit; one release is one commit. - This repo's own ops board is
docs/ops/ops-status.md(indexdocs/ops/README.md): what is released, what is configured, what waits. Start here for this product; a release updates it the same day. - A checkout may be shared: commit only your own files; never stash, reset or discard someone else's work.
Deep Thought
core-skills is a sibling product family, not a Deep Thought component, and nothing in it is a
Deep Thought dependency. It is the other way to use Deep Thought's output: a user who does
not want the platform's own processing (its extraction and insights) runs Claude Code with
core-skills on Deep Thought's content instead, read over the MCP tools, the Public API or the
meeting handover (deep-thought-handover, which runs /transcript on one Deep Thought transcript
in an isolated workspace). In Deep Thought's five steps that is step 3 Asked and step 4 Kept.
- The contract read is Deep Thought's:
docs/reference/public-api.mdand the MCP tools in thedeep-thought-serverrepository. A change there that breaks a skill is a Deep Thought CR. - Deep Thought's state and plan live in that repository too:
docs/ops/ops-status.md(what runs now) and the Waves table indocs/change-requests/README.md; the ecosystem map, including this family's row, isdocs/architecture/ecosystem-components.md.
Never
- Commit real names, organisations, hosts, internal addresses or credentials (
docs/RELEASING.md). - Use emojis in code, docs or commit messages.
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.

