manpower

Analyze Claude Code session logs to score prompting skills across 8 axes.

68|29|Updated Jan 26, 2026

Search Tags:#prompt engineering #claude #growth metrics #skill assessment #ai prompting #radar chart #manpower

Ready to run

npx skills add https://github.com/revfactory/skills --skill manpower

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: manpower
Source: https://github.com/revfactory/skills/tree/main/manpower
Command: npx skills add https://github.com/revfactory/skills --skill manpower

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, matplotlib, and includes scripts (resource) components.

What problem does it solve?

ManPower analyzes Claude Code session logs to quantify 8 prompting skill axes and visualize growth, turning raw chat traces into actionable maturity insights.

Core Features & Use Cases

8-axis scoring: automatically computes proficiency across clarity, specificity, context, decomposition, tool usage, iteration, creativity, and efficiency from user prompts.
Radial radar chart + weekly trend: produces a visual summary of current competence and weekly progress.
Project-scoped context: scans ~/.claude/projects and local CLAUDE.md environments to contextualize scores.
Automated reporting: outputs markdown reports and charts for leadership reviews and personal development plans.

Quick Start

Command your assistant to run manpower on your recent logs to generate a growth report.

Frequently Asked Questions about manpower

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

FAQPage Schema

How do I measure AI prompting skills from Claude Code session logs?▼

Measure AI prompting skills by analyzing Claude Code session logs to quantify proficiency across 8 axes, generating a radial radar chart and weekly growth insights to highlight strengths and opportunities.

Can I visualize my prompt engineering growth metrics in a radar chart?▼

Visualize prompt engineering growth metrics in a radar chart by computing scores across 8 axes from session logs, producing a visual summary of current competence and weekly progress.

Does this skill assessment require specific environment files to work?▼

Skill assessment requires access to worklog JSONL data and the local .claude environment to scan projects, contextualize scores, and generate automated reports.

What's the best way to track Claude Code prompt improvement over time?▼

Track Claude Code prompt improvement by running automated scoring on session logs to extract weekly trend insights, turning raw chat traces into actionable maturity reports for personal development.

Which 8 axes are used to score AI prompting proficiency?▼

AI prompting proficiency is scored across clarity, specificity, context, decomposition, tool usage, iteration, creativity, and efficiency axes derived from user prompts in session logs.

Do I need matplotlib and numpy installed to generate growth reports?▼

Matplotlib and numpy dependencies are required to compute scores and render the radial radar chart visualizations for the automated growth reports.