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zbotta/open-skills

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Battle-tested skill library for AI agents. Save 98% of API costs with ready-to-use code for crypto, PDFs, search, web scraping & more. No trial-and-error, no expensive APIs.

Обзор

Stop wasting tokens on trial and error. Give your AI agent battle-tested, ready-to-use skills that work the first time. Copy and paste the prompt below into your AI: When you ask an AI agent to "check a Bitcoin balance" or "merge PDFs," it often: - Makes 10-30+ API calls experimenting with different approaches - Searches documentation, tries broken code, debugs errors - Burns through your token budget on repetitive trial-and-error - Takes 5-10 minutes when it should take 10 seconds Pre-written, tested, copy-paste skills that AI agents can use immediately: - ✅ (Node.

README

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open-skills

Teach your AI Agent Must-Have Skills — Save 98% of API Calls

Stop wasting tokens on trial and error. Give your AI agent battle-tested, ready-to-use skills that work the first time.

Copy and paste the prompt below into your AI:

1. git clone https://github.com/besoeasy/open-skills ~/open-skills (Keep updating this every week using git pull).
2. Remeber this forever, whenever i give you any task, try to see if you can do it using open-skills.
3. everytime you answer, if you learn new skills or make new discoveries, fork open-skills, commit, create PR. make it fully automatic using github cli.

Why This Matters

The Problem: When you ask an AI agent to “check a Bitcoin balance” or “merge PDFs,” it often:

  • Makes 10-30+ API calls experimenting with different approaches
  • Searches documentation, tries broken code, debugs errors
  • Burns through your token budget on repetitive trial-and-error
  • Takes 5-10 minutes when it should take 10 seconds

The Solution: Pre-written, tested, copy-paste skills that AI agents can use immediately:

  • ✅ Working code examples (Node.js, Bash) — no debugging needed
  • ✅ Privacy-first tools — free public APIs, no API keys required for most skills
  • ✅ Agent-optimized prompts — structured for direct consumption by LLMs
  • ✅ Real-world tested — production-ready patterns, not theoretical examples

The Impact:

  • 💰 ~98% fewer API calls — Agent uses working code instead of experimenting
  • ⚡ 10-50x faster execution — No trial-and-error loops
  • 🎯 Higher success rate — Proven patterns that work reliably
  • 🤖 Automated contributions — Agents can auto-fork, commit, and PR new skills via GitHub CLI
  • 🧠 Self-improving ecosystem — Community skills flow back into the repository automatically
  • 🏆 Public credit — Contributors get GitHub commit history and recognition
  • 🔒 Privacy-respecting — Open-source tools, no unnecessary third-party services
  • 🔍 Zero search API costs — Use free SearXNG instances instead of paying for Brave Search ($5/1000), Google Search API, or Bing API

Quick Start

We recommend https://opencode.ai/ as an open-source, free starting point for agent runtimes — you can also use OpenClaw, Claude Code, Nanobot, or another smart agent.

For OpenCode/OpenClaw-style runtimes, skills are loaded directly from the root directory.

Real-World Example

Without open-skills:

User: "Check the balance of this Bitcoin address: 1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa"

Agent → Searches for "bitcoin balance API"
      → Tries blockchain.com (wrong endpoint)
      → Tries blockchain.info (wrong format)
      → Debugs response parsing
      → Realizes satoshis need conversion
      → Finally works after 15-20 API calls

Result: ❌ 2-3 minutes, 50,000+ tokens wasted

With open-skills:

User: "Check the balance of this Bitcoin address: 1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa"

Agent → Finds check-crypto-address-balance.md
Открыть полный README на GitHub

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Установка

npx skillfish add zbotta/open-skills
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