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OpenSkills

Stop bloating your LLM context with unused instructions. When an agent has 20+ skills, stuffing every system prompt, reference doc, and tool definition into a single request quickly hits token limits and degrades model performance (the "lost in the middle" problem).

news.ycombinator.com 방문외부 사이트

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  1. Open-Source Gateway to Stop Tool-Abusing Prompt Injections

    archestra.ai

    If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools.

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  2. Ratel

    github.com

    give agents unlimited tools and skills without context bloat

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  3. Local Coding Agent with LLMs to Delegate Tool Calls to Small AI Models

    github.com

    Enables small-to-large self-hosted ai models to use local source code when running tool-calling agentic workloads. We actively data mine 20,900+ (2+ TB) popular github repos using large and small ai models to create reuseable: json, markdown and parquet files for local-first tool-calling models.

    Hacker News9점

  4. Castra

    github.com

    Strip orchestration rights from your LLMs

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  5. 20+ Claude Code agents coordinating on real work (open source)

    github.com

    Single-agent LLMs suck at long-running complex tasks.

    Hacker News53점