RefoundAI/

lenny-skills

GitHub

86 product management skills from Lenny's Podcast for Claude Code and AI agents. Hiring, user research, strategy, shipping, and more.

1.2kstars

152forks

1issues

MITlicense

2026since

Star historydaily snapshots by VibeCrowd

Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).

Alternatives & relatedmatched by topic overlap

ruvnet/

ruflo

▲ 629/wk

🌊 The original agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

67k8.0kTypeScript

Graphify-Labs/

graphify

▲ 4.6k/wk

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

102k9.9kPython

farion1231/

cc-switch

▲ 2.3k/wk

A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Grok Build & Hermes Agent. Only official website: ccswitch.io

124k8.4kRust

addyosmani/

agent-skills

Production-grade engineering skills for AI coding agents.

82k8.8kJavaScriptgiant

Leonxlnx/

taste-skill

Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop

72k4.9kJavaScriptgiant

affaan-m/

ECC

▲ 2.9k/wk

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

238k36kJavaScript

Comparelenny-skills vs ruflo lenny-skills vs graphify lenny-skills vs cc-switch

Agent skills inside · 76

All skills →

acquisition-channelsHelp users identify unique distribution advantages and master the lifecycle of acquisition channels to build a sustainable engine for growth and retention.Other ai-assisted-prototypingHelp users build functional product prototypes from natural language or visual mocks using AI coding tools. This skill enables product leaders to bypass engineering bottlenecks and validate ideas through hands-on building.AI & Agents ai-evalsHelp users build robust infrastructure for measuring, monitoring, and iterating on AI product performance using human, code-based, and LLM-as-a-judge methodologies.AI & Agents growth-modelHelp users transition from linear funnel thinking to a loop-based growth model that identifies and optimizes the core engines of their business.AI & Agents ai-native-uxHelp users interact with probabilistic models by designing interfaces that manage fluidity, intent, and agency while maintaining trust and control.Other north-star-metricsHelp users define, validate, and operationalize a North Star Metric that bridges the gap between customer value and business success while driving team alignment.Data & Analytics

SharePost on X LinkedIn