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wiki_wrapup

Mine conversation knowledge, diff it against a wiki, and propose reconciled updates.

38|7|Updated May 3, 2026
Search Tags:#markdown#knowledge management#information architecture#conflict detection#session mining#wiki reconciliation
One-click install
npx skills add https://github.com/theafh/ai-modules --skill wiki-wrapup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: wiki_wrapup
Source: https://github.com/theafh/ai-modules/tree/main/plugins/knowledge_management/skills/wiki_wrapup
Command: npx skills add https://github.com/theafh/ai-modules --skill wiki-wrapup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents valuable decisions and durable facts from disappearing when a session ends, by reconciling what the chat produced with what the wiki already contains.

Core Features & Use Cases

  • Session-to-wiki mining: Extracts durable claims, decisions, definitions, workflows, and named entities from the active chat.
  • Wiki diff and triage: Detects whether each candidate is new, an extension, a confirmation, or a contradiction relative to existing wiki entries.
  • Conflict reconciliation workflow: For contradictions, captures both excerpts and proposes concrete reconciliation options for user approval.

Quick Start

Ask an AI to run wiki_wrapup to reconcile your current chat with your existing wiki and propose new pages, extensions, and contradictions for approval.

Frequently Asked Questions about wiki_wrapup

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

FAQPage Schema
How do I extract durable knowledge from a chat session and update my wiki?▼

Session-to-wiki mining extracts durable claims, decisions, and workflows from your chat. It diffs these candidates against existing wiki entries to propose reconciled updates, creating new pages or extending current ones.

What is wiki reconciliation and how does it handle conflicting information?▼

Wiki reconciliation compares new chat outcomes against existing wiki entries to detect contradictions. It captures excerpts from both sources and proposes concrete reconciliation options for your approval before routing any writes.

How do I prevent valuable decisions from disappearing when a conversation ends?▼

Running an end-of-session wrapup captures durable facts and definitions before the chat closes. It classifies extracted information using schema-based rules and generates an approval-gated proposal for wiki updates.

Does wiki wrapup automatically write changes to existing wiki entries?▼

No, wiki wrapup uses an approval-gated write routing flow. It proposes new pages, extensions, and contradictions for your review, only logging actual file changes in a dated session-wrapup log after you approve.

What's the best way to manage information architecture when logging session outcomes to a wiki?▼

Schema-based classification sorts extracted chat outcomes into new, extension, confirmation, or contradiction categories relative to existing wiki entries. This triage process ensures your information architecture remains structured and reliable.

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