wiki-agent

Ingest topic-specific agent session history into synthesized wiki pages.

Updated Apr 27, 2014
One-click install
npx skills add https://github.com/Nirajkashyap/nirajkashyap.github.io --skill wiki-agent-nirajkashyap
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki-agent
Source: https://github.com/Nirajkashyap/nirajkashyap.github.io/tree/main/.agents/skills/wiki-agent
Command: npx skills add https://github.com/Nirajkashyap/nirajkashyap.github.io --skill wiki-agent-nirajkashyap

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables query-driven targeted ingestion from a specific AI agent's raw conversation history. It finds sessions about a SPECIFIC TOPIC in a given agent's history, ingests just those blobs, distills them into the wiki, and returns a synthesized answer ready to act on in the current session.

Core Features & Use Cases

  • Targeted cross-agent history search: pull in topic-specific context from Claude, Codex, Hermes, OpenClaw, or Copilot.
  • Focused ingestion over bulk: selects relevant sessions and extracts only the needed content.
  • Synthesis and wiki integration: converts extracted blobs into durable wiki pages with proper linking and attribution.

Quick Start

Issue a command like /wiki-claude "your topic" to fetch and ingest topic-specific Claude history.

Frequently Asked Questions about wiki-agent

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

FAQPage Schema
How do I search cross-agent conversation history for a specific topic?

Cross-agent history ingestion works by issuing a command like /wiki-claude with your topic. The Skill identifies and ingests only the relevant session blobs from that agent, distills them into wiki pages, and returns a synthesized answer for your current session.

Can I pull topic-specific context from Claude or Copilot without importing bulk history?

Yes, you can pull topic-specific context without importing bulk history. By invoking commands like /wiki-claude or /wiki-copilot, the Skill performs focused ingestion, selecting only relevant sessions and extracting the needed content instead of loading entire histories.

How does synthesized knowledge get integrated into a wiki?

Synthesized knowledge is integrated by converting extracted conversation blobs into durable wiki pages. These pages include frontmatter, attribution, and cross-links to related content, while the Skill tracks all ingested sessions and generated pages.

What is the difference between targeted ingestion and bulk history ingestion for knowledge management?

Targeted ingestion selects only relevant sessions about a specific topic from an agent's history, whereas bulk ingestion imports everything. Targeted ingestion prevents clutter by distilling only the needed content into durable, cross-linked wiki pages.

Which AI agents can I use for cross-reference history ingestion?

You can use cross-reference history ingestion with Claude, Codex, Hermes, OpenClaw, and Copilot. You invoke the specific agent by using its corresponding command, such as /wiki-codex or /wiki-hermes, to pull topic-specific context.

What are the limitations of using targeted cross-agent history blobs for synthesis?

A limitation of targeted cross-agent history ingestion is that it requires selecting sessions about a specific topic from a single agent at a time. It does not bulk process entire histories or automatically ingest across multiple agents simultaneously.