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PeterSalvato
PeterSalvatoCOMMUNITY
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knowledge

Index and search ideation history across PKB, Claude Code, ChatGPT, Claude.ai, and Gemini exports.

Updated Aug 27, 2026
Search Tags:#ideation#search#voice#knowledge#conversations#lineage#pkb
One-click install
npx skills add https://github.com/PeterSalvato/joinery --skill knowledge-petersalvato
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: knowledge
Source: https://github.com/PeterSalvato/joinery/tree/main/skills/knowledge
Command: npx skills add https://github.com/PeterSalvato/joinery --skill knowledge-petersalvato

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Locate and understand Peters's ideation history across years of conversations without manual cross-referencing, surfacing decisions, rationales, and context to ground copy and strategy.

Core Features & Use Cases

  • Cross-source search across PKB, Claude Code sessions, ChatGPT exports, Claude.ai exports, and Gemini materials.
  • Timeline and lineage view showing how concepts evolved from initial ideas to crystallized decisions.
  • Voice sampling insights that extract and summarize Peter's natural language patterns from conversations for grounding copy.

Quick Start

Provide a topic query and receive a concise, source-annotated history of Peter's ideation across PKB and exports.

Frequently Asked Questions about knowledge

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

FAQPage Schema
How do I search ideation history across multiple AI conversation exports?▼

To search ideation history across multiple AI conversation exports, you index ChatGPT, Claude.ai, and Gemini materials to surface origins, decisions, and evolution. This cross-source search returns source-contextual results with lineage and brief quotes.

What is the best way to find the context behind past product decisions in chat logs?▼

The best way to find context behind past product decisions in chat logs is searching indexed conversation lineage. This surfaces real decisions, rationales, and timeline evolution to rapidly ground copy, strategy, and product decisions.

How do I extract natural language patterns from past conversations for copywriting?▼

To extract natural language patterns from past conversations for copywriting, you apply voice sampling insights across indexed ideation history. This extracts and summarizes natural language patterns to ground copy authentically.

Can I track how an idea evolved from initial concept to final decision across different platforms?▼

Yes, you can track how an idea evolved across different platforms by viewing timeline and lineage data. This cross-source search shows concept evolution from initial ideas to crystallized decisions across PKB and AI exports.

Does ideation search work with Claude Code session transcripts?▼

Yes, ideation search works with Claude Code session transcripts. It indexes Claude Code sessions alongside PKB, ChatGPT exports, and Gemini materials to return source-contextual results without manual cross-referencing.

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