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ai-dev-effectiveness
Measure AI co-programming effectiveness on any git repo. Detects Claude/Copilot/Cursor/Codex signatures and triangulates productivity multipliers via top-down roles, bottom-up formula, and an optional Claude Code subagent that reads diffs.
8stars
0forks
Python
ai-codingclaude-codecode-metricscommit-analysisdeveloper-productivitygit-analysisjupyter-notebookloc-analysisproductivity-metricssoftware-engineering-metrics
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest denn-gubsky/ai-dev-effectivenessAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/ai-dev-effectiveness curl -fsSL https://raw.githubusercontent.com/denn-gubsky/ai-dev-effectiveness/main/SKILL.md -o ~/.claude/skills/ai-dev-effectiveness/SKILL.md
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
ai-dev-effectiveness — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt