z-grounded-source-qa
Skill592 starsChanged 3 months agoNo licenceView on GitHub
Use this skill whenever the user wants answers, summaries, comparisons, decisions, quotations, persona simulations, articles, scripts, or claim checks that must stay grounded in user-provided local source files. Trigger for source-grounded QA, evidence-based answering, corpus questions, transcript analysis, “只根据这些资料回答”, “按原文核对”, “给出页码/时间戳/出处”, “不要编”, “从访谈里找依据”, and reusable question answering over Markdown or text corpora. Run multi-expression retrieval, preserve source locations, separate supported claims from inference, and retry retrieval before declaring that a source is silent.
We split this skill into the rules it gives an agent
15 rules. About 0 are common, 15 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈15
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 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 repository17 other files it gives its agents.
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Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

