kg-enrich
Skill0 starsChanged 5 months agoNo licenceView on GitHub
Deepen and strengthen an existing AIDLC node — add evidence and citations, surface counter-evidence, work in concrete examples or mini-cases, fill thin or missing detail, sharpen the leader implications, and raise the node from brief- toward decision- or reference-grade. Use this whenever the user wants to enrich, deepen, expand, flesh out, strengthen, beef up, or go deeper on a node or topic, add more sources or counter-arguments, upgrade a node's depth, or says "this node is thin", "make Security deeper", "add more evidence to X", "go deeper on architecture", or "bring this up to reference-grade". This is about depth and completeness — not fixing stale facts (use kg-refresh) and not creating a new node (use kg-add-node).
In this repository11 other files it gives its agents.
- kg-add-nodeSkill
- kg-assessSkill
- kg-auditSkill
- kg-digestSkill
- kg-linkSkill
- kg-refreshSkill
- kg-scanSkill
- report-briefSkill
- report-deckSkill
- report-qaSkill
- report-story-arcSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — 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 350,495 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.
Does it work?
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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.