skills.rest
trehansalil
trehansalilCOMMUNITY
Explore all skills by this author →
Website𝕏@trehansalilGitHub

knowledge-agent

Build and query knowledge bases from claude-mem observation data.

Updated Jun 14, 2026
Search Tags:#knowledge base#AI-powered#querying#historical analysis#corpus building
One-click install
npx skills add https://github.com/trehansalil/claude-mem-deploy --skill knowledge-agent-trehansalil
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge-agent
Source: https://github.com/trehansalil/claude-mem-deploy/tree/main/image/plugin/skills/knowledge-agent
Command: npx skills add https://github.com/trehansalil/claude-mem-deploy --skill knowledge-agent-trehansalil

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users build and query AI-powered knowledge bases from their claude-mem observations, enabling the creation of focused "brains" for specific topics and historical analysis.

Core Features & Use Cases

  • Build Corpora: Compile filtered observations into a knowledge base.
  • Query Knowledge: Ask questions about past work patterns and specific topics.
  • Use Case: For instance, you can build a knowledge base of all decisions made in the last month and query it to find all bugfixes related to a specific service.

Quick Start

Build a corpus of decisions for the past month using the 'knowledge-agent' skill.

Frequently Asked Questions about knowledge-agent

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

FAQPage Schema
How do I build an AI-powered knowledge base from historical observations?▼

To build an AI-powered knowledge base, you compile filtered observation data into a focused information repository. This creates a searchable corpus for historical analysis and querying past work patterns.

Can I query past work patterns and decisions from a custom corpus?▼

Yes, you can query past work patterns by asking questions about your compiled knowledge base. This allows you to retrieve specific expertise and historical analysis, such as finding bugfixes for a service.

What is the best way to create a focused information repository for historical analysis?▼

The best way to create a focused information repository is to compile filtered observations into a knowledge base. This facilitates historical analysis by structuring past data into a queryable corpus.

Does this knowledge base querying approach require AI processing capabilities?▼

Yes, constructing and querying these knowledge bases requires AI processing and query capabilities to analyze the observation data and retrieve historical analysis effectively.

How do I extract specific bugfixes related to a service from past observations?▼

You extract specific bugfixes by building a corpus of decisions from observations and querying the knowledge base. This filters historical data to find targeted expertise and patterns.

When should I not use a knowledge base for querying observations?▼

You should avoid building a knowledge base if your observation data is unstructured or lacks sufficient volume. Querying requires compiled, filtered data to yield accurate historical analysis.

Related Skills

Explore More Software Engineering Skills→
carson-sweetcarson-sweet
6

Corpus Reconcile

Synthesize raw project files into canonical documentation via automated clustering and subagents.

Community
Advanced
I194I194
9

learn

Consolidate gstack session learnings into a centralized knowledge base.

Community
Advanced
stanislavjiricekstanislavjiricek
6

phase-data-preprocess

Filter, clean, epoch, and quality-check raw EEG, fMRI, ECG, and eye-tracking data.

Community
Intermediate
alangebalangeb

wiki

Index session logs into a Markdown knowledge base with retrieval tools.

Community
Advanced