agent-knowledge

Capture external AI agent learnings into a topic-based knowledge base.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/satriachandrayw/skills --skill agent-knowledge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-knowledge
Source: https://github.com/satriachandrayw/skills/tree/main/agent-knowledge/skills/agent-knowledge
Command: npx skills add https://github.com/satriachandrayw/skills --skill agent-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Captures learnings, discoveries, and patterns produced by external AI agents (Codex, others) and structures them into a usable knowledge base for future reference.

Core Features & Use Cases

  • Capture and consolidate agent learnings from sessions into topic-based entries.
  • Map agent outputs to predefined KB topics and maintain chronological context.
  • Facilitate knowledge sharing by organizing insights with code references and patterns.

Quick Start

Trigger the capture to analyze recent agent activity and append structured learnings to docs/agent-knowledge with dated entries.

Frequently Asked Questions about agent-knowledge

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

FAQPage Schema
How do I capture learnings from AI agents into a knowledge base?

To capture AI agent learnings, trigger the skill after work iterations to analyze agent outputs and git diffs. It maps observations to predefined topics like batch processing or API usage, appending dated entries to maintain chronological context.

What is the best way to organize AI agent session outputs by topic?

The best way to organize AI agent outputs by topic is mapping discoveries to predefined knowledge base categories. This maintains chronological context and consolidates insights with code references for future knowledge sharing.

Does capturing agent knowledge require git diff analysis?

Capturing agent knowledge requires git diff analysis to identify code edits and outputs produced by external AI agents. This analysis extracts patterns and discoveries during or after agent sessions for structured documentation.

Can I consolidate insights from multiple external AI agents into one knowledge base?

Consolidating insights from multiple external AI agents into one knowledge base involves capturing session learnings and mapping them to shared topics. This creates structured, topic-based entries with chronological context for easy reference.

When should I trigger the agent knowledge capture process?

Trigger the agent knowledge capture process during agent sessions or after work iterations when outputs or code edits occur. This ensures discoveries are mapped to topics like image generation and API usage promptly.

What limitations exist when mapping agent observations to predefined topics?

Mapping agent observations to predefined topics limits entries to existing categories like batch processing and API usage. Observations outside these predefined topics may require manual topic creation or restructuring of the knowledge base.