oosmetrics
Search, compare, and analyze 330K+ open-source GitHub repos by growth rate, acceleration, and originality. Discover trending projects, find alternatives, check licenses, and get AI-powered analysis.
Best use case
oosmetrics is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search, compare, and analyze 330K+ open-source GitHub repos by growth rate, acceleration, and originality. Discover trending projects, find alternatives, check licenses, and get AI-powered analysis.
Teams using oosmetrics should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/oosmetrics/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How oosmetrics Compares
| Feature / Agent | oosmetrics | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search, compare, and analyze 330K+ open-source GitHub repos by growth rate, acceleration, and originality. Discover trending projects, find alternatives, check licenses, and get AI-powered analysis.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
AI Agents for Startups
Explore AI agent skills for startup validation, product research, growth experiments, documentation, and fast execution with small teams.
Best AI Agents for Marketing
A curated list of the best AI agents and skills for marketing teams focused on SEO, content systems, outreach, and campaign execution.
SKILL.md Source
# oosmetrics - Open Source Momentum Intelligence
Query growth metrics, compare repos, discover trending projects, find alternatives, and get AI-powered deep analysis for 330,000+ GitHub repositories tracked by oosmetrics.com.
## How it works
This skill runs the `@oosmetrics/mcp` npm package (source: https://github.com/AlessandroFlati/GitHubMetrics/tree/main/mcp) as a local MCP server over stdio. The server makes HTTPS requests only to `api.oosmetrics.com` using your API key. It does not listen on any ports, does not run in the background after the agent session ends, and does not collect telemetry or send data anywhere other than the oosmetrics API.
## Setup
1. Get your API key at https://oosmetrics.com/profile (Pro or AI tier required). The key is scoped to your account and can be rotated or deleted at any time from your profile page.
2. Set the environment variable: `export OOSMETRICS_API_KEY=oosm_your_key_here`
3. The MCP server is installed via `npx @oosmetrics/mcp@1.0.1` and starts automatically when this skill is loaded. It communicates with the agent over stdio (no network ports opened locally).
## Tools
The available tools depend on your subscription tier. The server fetches the tool list from the oosmetrics API at startup, so Pro users see 7 tools and AI users see all 10.
### Pro + AI tier tools
**search** - Find repos by natural language query, language, or sort criteria.
**get_repo** - Get detailed metrics, grades, and description for a specific repo.
**compare** - Compare 2-5 repos side by side with full metrics.
**trending** - Get the hottest repos right now, optionally filtered by language.
**alternatives** - Find similar repos to a given one using embedding similarity.
**history** - Get historical metrics time series (stars, growth, acceleration over time).
**analyze** - Get or trigger an AI analysis of any repo (tech stack, health signals, alternatives, creative build ideas).
### AI tier only tools
**existence_check** - Describe a project idea, get back similar existing repos ranked by relevance.
**dependency_discovery** - Describe what you want to build, get recommended dependencies with health signals.
**license_check** - Check license compatibility for a list of dependencies.
## Example prompts
Use these as a guide for how to interact with the tools:
### Discovery
- "What are the fastest-growing Rust projects this week?"
- "Find me Python ML frameworks that are gaining traction"
- "Show me trending repos in Go"
### Research
- "Get the metrics for facebook/react"
- "Compare Express.js, Fastify, and Hono by growth and acceleration"
- "Show me the 90-day growth history for astral-sh/uv"
- "What are the best alternatives to Prisma?"
### Due diligence
- "Analyze denoland/deno - focus on ecosystem maturity"
- "Is there already a project like X? I want to build a real-time collaborative markdown editor"
- "Check the licenses for these deps: facebook/react, vercel/next.js, prisma/prisma"
- "What libraries can help me build a CLI tool for Kubernetes management?"
### Comparisons and decisions
- "I'm choosing between SQLx and Diesel for a new Rust project. Compare them."
- "Which React state management library has the best momentum right now?"
- "Compare the top 3 Python web frameworks by acceleration"
## Workflow patterns
### Evaluate a technology choice
1. Use `search` to find candidates in the domain
2. Use `compare` to see them side by side
3. Use `analyze` on the top pick for a deep dive
4. Use `history` to check if growth is sustained or a spike
### Check before you build
1. Use `existence_check` with your project description
2. If similar projects exist, use `get_repo` to understand their approach
3. Use `alternatives` to map the full landscape
4. Use `license_check` to verify compatibility
### Stay informed
1. Use `trending` to see what's hot globally or in your language
2. Use `search` with specific domains ("AI agent frameworks", "database engines")
3. Use `analyze` on anything that catches your eyeRelated Skills
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。
小红书长图文发布 Skill
## 概述