
PM Skills — 174 eval-scored AI skills
Turn any AI into a senior PM, engineer, or analyst
What it does
174 open-source skills that teach Claude, ChatGPT, and Gemini to produce professional-grade work — PRDs, exec updates, roadmaps, postmortems, contracts and more. Eval-scored, chainable into workflows, and runnable in the browser with no install.
Does the same job
all alternatives →- ASAgent-skills-eval – Test whether Agent Skills improve outputsMay 2026 · github.com · ▲79

- AEAgent-evals – Claude skill to build your own evalsMay 2026 · github.com · ▲9
I’ve spent the past 10 years working on AI in finance, with much of that time focused on building evaluation systems for production environments. As agents become more widely adopted, more software engineering and product people have start building them. But I’ve noticed that many teams are not yet fluent in systematic evaluation, or in the processes needed to keep agent quality high over time. For large organizations, that gap is rarely the bottleneck due to dedicated teams. But after speaking with a number of startups, it became clear that building strong, up-to-date evals is much harder…
- OSOpen-Source GTM Skills for Claude Code, Codex, and CursorMar 2026 · github.com · ▲8
We built an open-source library of 125 GTM (go-to-market) skills that plug into AI coding agents like Claude Code, Codex, and Cursor. With these skills an AI agent can automatically: - Find ICP leads from conference speakers, LinkedIn activity, or job boards - Generate personalized cold email sequences - Monitor competitor blogs, pricing pages, and hiring signals - Generate programmatic SEO pages from keyword lists - Track where your brand appears in ChatGPT, Perplexity, and Claude answers --- How skills work Each skill is a structured markdown file containing instructions, scripts, and tool…
Claude Skill – Interns must review (your agent's design choices)21h ago · github.com · ▲12Contribute to alpbahadur/interns-review-plugin development by creating an account on GitHub.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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hope you enjoy
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