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fw:compound

Capture and analyze learnings from multiple Claude Code sessions.

5|2|Updated Apr 8, 2026
Search Tags:#knowledge management#session analysis#workflow improvement#cross-session learning#sales pitch optimization
One-click install
npx skills add https://github.com/Untangling-Systems/flywheel --skill fw-compound
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fw:compound
Source: https://github.com/Untangling-Systems/flywheel/tree/main/skills/fw-compound
Command: npx skills add https://github.com/Untangling-Systems/flywheel --skill fw-compound

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users save and reference learnings from various sessions, enabling them to build upon their knowledge and improve their workflows over time.

Core Features & Use Cases

  • Session Learning Capture: Save insights from positioning, copy, pitch, pricing, and growth sessions.
  • Cross-Session Pattern Recognition: Identify and record patterns across multiple sessions.
  • Knowledge Store Integration: Leverage saved learnings in future sessions for enhanced decision-making.
  • Use Case: After conducting a series of sales pitch sessions, use this Skill to analyze the outcomes, identify successful patterns, and adjust future pitches accordingly.

Quick Start

Run the fw:compound skill with the --canvas flag to specify the canvas file you want to save learnings to.

Frequently Asked Questions about fw:compound

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

FAQPage Schema
How do I save and reuse learnings from multiple Claude Code sessions?▼

Cross-session learning capture saves insights from positioning, copy, pitch, and pricing sessions into a knowledge store. You can then reference these saved learnings in future sessions to enhance decision-making and improve workflows.

What is the best way to identify successful patterns across sales pitch sessions?▼

Cross-session pattern recognition analyzes outcomes from multiple sales pitch sessions to identify successful trends. It records these patterns into a knowledge store, allowing you to adjust future pitches based on historical data.

Can I automate updating my knowledge store with session analysis insights?▼

Yes, session analysis automates the process of capturing learnings and updating knowledge stores. It identifies patterns from your session data and writes them to a specified canvas file for future reference.

How do I start capturing session learnings with the fw:compound skill?▼

Run the fw:compound skill with the --canvas flag to specify the canvas file where learnings will be saved. This requires access to your session data and knowledge store management capabilities.

Does cross-session learning require any specific dependencies or integrations?▼

Cross-session learning requires access to session data and knowledge store management capabilities. It operates with scripts and references components but has no external dependencies, keeping the setup straightforward.

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