wiki-agent

Synthesize knowledge from AI agent conversation sessions by topic.

Updated Jul 13, 2026

Search Tags:#search #AI #knowledge synthesis #context awareness #agent history

Ready to run

npx skills add https://github.com/Abulfadl-Ahmadi/Experimental-Physics-Spring-2026 --skill wiki-agent-abulfadl-ahmadi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: wiki-agent
Source: https://github.com/Abulfadl-Ahmadi/Experimental-Physics-Spring-2026/tree/main/.skills/wiki-agent
Command: npx skills add https://github.com/Abulfadl-Ahmadi/Experimental-Physics-Spring-2026 --skill wiki-agent-abulfadl-ahmadi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires json, grep, python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of accessing and synthesizing past AI agent sessions to retrieve specific knowledge and insights, enhancing cross-agent context awareness and knowledge sharing.

Core Features & Use Cases

Cross-Agent History Search: Retrieves specific sessions from multiple AI agents based on user queries or default recent session modes.
Knowledge Synthesis: Extracts relevant information from selected sessions and synthesizes it into a coherent answer or summary.
Use Case: When working in one AI agent, you can query about past work in another agent's history, such as "What did I solve for X in Codex last week?"

Quick Start

Invoke the /wiki-claude command followed by your query to extract relevant knowledge from Claude agent sessions.

Frequently Asked Questions about wiki-agent

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

FAQPage Schema

How do I search conversation history across multiple AI agents?▼

To search conversation history across multiple AI agents, you can invoke the wiki-claude command to ingest past sessions, query by topic, and extract relevant content into a synthesized answer. It supports cross-agent context awareness by defaulting to recent sessions.

What is AI agent knowledge synthesis?▼

AI agent knowledge synthesis is the process of ingesting specific sessions from conversation histories, extracting relevant information, and summarizing it into a coherent answer. This mechanism enables cross-agent context awareness and knowledge sharing.

Can I retrieve past work from one AI agent while working in another?▼

Yes, you can retrieve past work from one AI agent while working in another by querying specific session histories. This allows you to ask questions like what was solved last week and synthesize that knowledge into your current context.

Do I need Python and grep to extract knowledge from AI sessions?▼

Yes, you need Python, grep, and json dependencies installed in your environment to extract knowledge from AI sessions. These tools are required to parse the conversation histories and synthesize the extracted content into a usable format.

What's the best way to query past Claude agent sessions by topic?▼

The best way to query past Claude agent sessions by topic is to invoke the wiki-claude command followed by your specific query. This extracts relevant knowledge from targeted histories and synthesizes it into a coherent summary or answer.