workflow-compound

Name: workflow-compound
Availability: InStock
Author: TinNguyen

Extract and organize learnings from completed work into .context/learnings.

1|Updated Jan 26, 2026

Search Tags:#templates #indexing #insights #knowledge #learn #compounding

Ready to run

npx skills add https://github.com/AskTinNguyen/vesper-team-skills --skill workflow-compound

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: workflow-compound
Source: https://github.com/AskTinNguyen/vesper-team-skills/tree/main/workflow-compound
Command: npx skills add https://github.com/AskTinNguyen/vesper-team-skills --skill workflow-compound

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract and store learnings from completed work to make the next task easier by capturing patterns, templates, and preferences and reusing them across future projects.

Core Features & Use Cases

Phase 1: Parallel Analysis to surface patterns, reusable templates, and user preferences.
Phase 2: Produce discrete insights (pattern, template, preference, failure, insight) and store them under a consistent structure for retrieval.
Phase 3: Store, index, and cross-link learnings in .context/learnings to enable fast discovery and reuse.
Optional enhancements: Improve workflows with updates to the learnings index and related tooling.

Quick Start

Run the compound workflow on a completed project to generate, store, and index learnings for faster future tasks.

Frequently Asked Questions about workflow-compound

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

FAQPage Schema

How do I extract learnings from completed work to accelerate future tasks?▼

To extract learnings from completed work, run a compound workflow that analyzes finished projects to surface patterns, produce discrete insights, and index them under .context/learnings for fast future retrieval and reuse.

What is the best way to run a project post-mortem and store insights for reuse?▼

The best way to run a project post-mortem for reuse is applying a phased workflow: parallel analysis to surface patterns, producing discrete insights like templates and failures, then indexing results under .context/learnings to accelerate repeatable outcomes.

How does cross-team knowledge capture and indexing work for completed projects?▼

Cross-team knowledge capture works by extracting reusable templates, preferences, and patterns from completed work, then cross-linking and indexing these discrete insights in a consistent structure to enable fast discovery across teams.

How do I organize project learnings and templates for fast discovery?▼

You organize project learnings by producing discrete insights such as patterns, templates, and failures, then storing and cross-linking them under a consistent .context/learnings index to enable fast discovery and streamline future tasks.

What types of insights can I capture from a project retrospective?▼

From a project retrospective, you can capture discrete insights categorized as patterns, reusable templates, user preferences, failures, and broader insights, storing each under a consistent structure for future cross-team knowledge retrieval.