knowledge-retrieve
Skill95 starsChanged 6 days agoMITView on GitHub
Retrieves the approved knowledge article, policy text or product doc that grounds the answer for the classified intent. Use after context-assemble, or on "what's the approved answer for this".
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
After context-assemble in every run.
- Distinctive: line 16
No article -> the run becomes a handoff with "no approved answer" recorded (#4.1).
- Distinctive: line 20
Every answer sentence must be traceable to an article or policy clause.
≈ “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.
Files
Knowledge Retrieve
Purpose
Approved-answer retrieval with citation - the response is grounded or it is a handoff.
When to use
After context-assemble in every run.
Inputs
assembled.json + knowledge base / approved scripts / policy documents.
Steps
- Retrieve the article(s) matching intent + context; keep article ids and clauses as citations.
- No article -> the run becomes a handoff with "no approved answer" recorded (#4.1).
Output
Payload with approved-answer sources attached.
Grounding requirements
Every answer sentence must be traceable to an article or policy clause.
Constraints
- Approved sources only; no answers from general knowledge about "how retail usually works".
Escalation / uncertainty
Conflicting articles -> handoff with both cited.
In this repository199 other files it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
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- The first 60 shown.
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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.

