Markdown vault query
Skill CloudChef/atlasclaw-providers/providers/markdown-vault/skills/markdown-vault-query
atlasclaw-providers are the integration with enterprise systems through skills and webhook.
npx -y skills add CloudChef/atlasclaw-providers --skill markdown-vault-queryAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 14 stars14 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Search and retrieve read-only local Markdown vault knowledge-base content with file and line citations.
SKILL.md
7.1 KB, as published. Nobody here has run it
markdown-vault-query
Use this skill when the user wants answers grounded in a configured Markdown vault.
Workflow
- Analyze the question before searching. Extract useful
keywords: product names, cloud/provider names, system names, aliases, English/Chinese variants, and likely typo corrections. Prefer domain terms over generic words; the provider down-weights vault-specific common tokens, but precise keywords still improve the top results. - Call
markdown_vault_searchfor knowledge-base, internal-doc, wiki, runbook, or vault-note questions. Pass both the originalqueryand the expandedkeywords. - Read the returned
text,path,heading_path, and line range as internal evidence. The returned text is not a final answer. - Do not pass
path_filterfor ordinary Q&A. It is only a vault-relative path constraint, in the same format as returned resultpathvalues. - Use
path_filteronly when the user explicitly gives a vault-relative directory/file path, or when a previous search resultpathshould be used to narrow a follow-up search. Do not derivepath_filterfrom product names, provider names, provider instance names, knowledge-base names, or topic words. - If the top results are too narrow or ambiguous, search again with clearer keywords first. Add
path_filteronly when the path is explicit or came from prior search evidence. - Call
markdown_vault_geton the most relevant path and line range when surrounding context matters. - Answer with a natural-language synthesis: start with the conclusion or support judgment, then give the minimal supporting details and citations. If the evidence text already contains headings or bullet fields, paraphrase and compress them instead of copying the block.
- Final answers must not contain the literal
Source:label. Cite evidence in prose, for examplefrom path.mdor an inline parenthetical citation, and cite each path at most once.
Evidence Rules
- Do not use this provider for every factual question. Use it only when the user intent is document or knowledge-base grounded.
- If no result is returned, say the current knowledge base has no matching evidence.
- Do not claim that an answer came from the vault unless it is supported by returned search or get output.
- Never return raw search results as the final answer. Do not concatenate result blocks, repeated
### ...headings,- Source:sections, JSON payloads, or copiedtextfields. Use at most the most relevant citations needed to support the answer. - Specifically, a block that starts with
### ...and then- Source: ...is a vault evidence block, not a final answer format. Convert it into a concise conclusion and a few bullets; cite the source once instead of repeating source headings. - If multiple search/get results point to the same file, merge them into one answer section. Do not create one section per returned chunk.
- Python retrieval only ranks and bounds Markdown evidence. The Agent LLM remains responsible for final answer synthesis and support judgment.