evolve-report

Generates a Markdown report from state data with goals, findings, and improvement plan.

Updated Mar 27, 2026

Search Tags:#documentation #analysis #evolution #report #decision-making #evolve-report #state-data

Ready to run

npx skills add https://github.com/GQAdonis/turboquant-rs --skill evolve-report

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: evolve-report
Source: https://github.com/GQAdonis/turboquant-rs/tree/main/.opencode/skills/iterative-evolver/skills/evolve-report
Command: npx skills add https://github.com/GQAdonis/turboquant-rs --skill evolve-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate a comprehensive evolution report from existing state data to provide a unified narrative of goals, assessments, landscape analysis, and planned next steps.

Core Features & Use Cases

Consolidates goals, assessment findings, landscape highlights, and an improvement plan into a single, cohesive narrative.
Ingests evolution_state.json, assessment.json, analysis.json, plan.json, evolution_log.md, and decisions.md to produce a complete report.
Outputs a Markdown report to reports/evolution-report-<timestamp>.md containing an executive summary, findings, landscape highlights, iteration history, lessons learned, and recommended next steps.

Quick Start

Load your current state data files to generate the evolution report.

Frequently Asked Questions about evolve-report

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

FAQPage Schema

How do I generate an evolution report from project state data?▼

To generate an evolution report, load your existing state data files including evolution_state.json, assessment.json, analysis.json, plan.json, evolution_log.md, and decisions.md to produce a unified Markdown narrative.

What is the best way to consolidate decision histories and iteration logs into a single narrative?▼

Consolidating decision histories and iteration logs requires reading evolution_log.md and decisions.md alongside state data to output a cohesive report containing executive summaries, findings, and lessons learned.

Can I use this to document product iteration cycles and landscape highlights?▼

Yes, you can document product iteration cycles by applying it to existing state data, which processes analysis and assessment files to extract landscape highlights and generate a comprehensive iteration history.

What state data formats are needed to create a unified project evolution narrative?▼

Creating a unified project evolution narrative requires specific state data formats including JSON files for state, assessment, analysis, and plan data, alongside Markdown files for evolution logs and decisions.

Where does the generated evolution report get saved?▼

The generated evolution report is saved as a Markdown file output to the reports directory, named with a timestamp format like reports/evolution-report-<timestamp>.md.

Does this approach work without external dependencies for decision-making analysis?▼

Yes, this approach works without external dependencies, relying solely on ingesting your local state data files to produce decision-making analysis and recommended next steps.