vault-query

Search and analyze markdown knowledge vaults by type, status, tags, or pattern-key.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/AndersonsRepo/AI-Harness --skill vault-query
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: vault-query
Source: https://github.com/AndersonsRepo/AI-Harness/tree/main/.claude/skills/vault-query
Command: npx skills add https://github.com/AndersonsRepo/AI-Harness --skill vault-query

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill allows users to efficiently search, analyze, and retrieve information from a persistent knowledge vault, making it easier to find and utilize stored learnings, errors, and features.

Core Features & Use Cases

  • Targeted Search: Query learnings by type, status, tags, or specific keywords.
  • Insight Generation: Identify promotion candidates and recurring patterns within the vault.
  • Use Case: Quickly find all 'error' type learnings related to 'API integration' that have occurred more than three times to identify a recurring issue.

Quick Start

Use the vault-query skill to show promotion candidates.

Frequently Asked Questions about vault-query

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search a knowledge base for specific markdown learnings and errors?

To search a knowledge base for specific markdown learnings and errors, you can query the vault by type, status, tags, or specific pattern-keys using Glob and Grep operations.

What is the best way to identify recurring errors in a markdown knowledge vault?

The best way to identify recurring errors in a markdown knowledge vault is to query for 'error' type learnings filtered by specific keywords or tags to isolate recurring issues.

Can I find features in my knowledge vault that are eligible for promotion?

Yes, you can find features eligible for promotion by utilizing the vault query capabilities to analyze stored learnings and identify items meeting promotion criteria.

How do I query vault learnings by tags and status?

You query vault learnings by tags and status by applying targeted search criteria against the markdown files within your specified vault directories.

Does the vault query approach work with standard markdown files?

Yes, the vault query approach works with standard markdown files, utilizing file reading operations to extract and analyze learnings, errors, and features from specified directories.

What are the limitations when analyzing a persistent knowledge vault?

A limitation when analyzing a persistent knowledge vault is that search effectiveness depends entirely on the consistent formatting and tagging of the underlying markdown files.