Promptfoo

Promptfoo AI

Promptfoo AI

Promptfoo AI

Promptfoo AI

Promptfoo AI

Promptfoo AI

Promptfoo AI

Promptfoo AI

Promptfoo AI

Promptfoo AI

I maintain an open-source library of 181 agent skills. I would like to get your critism and opinion what is missing

Hey everyone 👋 The beauty of open source is that the best ideas come from users, not maintainers. I have been heads-down building for months — now I want to come up for air and hear what the community actually needs. I'm Reza (A regular CTO) — I maintain claude-skills, an open-source collection of 181 agent skills, 250 Python tools, and 15 agent personas that work across 11 different AI coding tools (Claude Code, Cursor, Windsurf, Codex, Gemini CLI, Aider, Kilo Code, OpenCode, Augment, Antigravity, and OpenClaw). I think about extend the skills also for replit and vercel. The link to the repo: https://github.com/alirezarezvani/claude-skills In the last two weeks, the repo went from ~1,600 stars to 4,300+. Traffic exploded — 20,000 views/day, 1,200 unique cloners daily. I am really surprised from the attention the repo gets. :) And very happy and proud btw. But I am not here to flex numbers. I am here because I think I am approaching skills wrong as a community, and I want to hear what you think. The Problem I Keep Seeing Most skill repos (including mine, initially) treat skills as isolated things. Need copywriting? Here is a skill. Need code review? Here is another. Pick and choose. But that is not how real work happens. Real work is: "I'm a solo founder building a SaaS company. I need someone who thinks like a CTO, writes copy like a marketer, and ships like a senior engineer — and they need to work together." No single skill handles that. You need an agent with a persona that knows which skills to reach for, when to hand off, and how to maintain context across a workflow. What I am Building Next Persona-based agents — not just "use this skill," but "here's your Startup CTO agent who has architecture, cost estimation, and security skills pre-loaded, and thinks like a pragmatic technical co-founder." - A different approach than agency-agents Composable workflows — multi-agent sequences like "MVP in 4 Weeks" where a CTO agent plans, a dev agent builds, and a growth agent launches. Eval pipeline — we're integrating promptfoo so every skill gets regression-tested. When you install a skill, you know it actually works — not just that someone wrote a nice markdown file. True multi-tool support — one ./scripts/install.sh --tool cursor and all 181 skills convert to your tool's format. Already works for 7 tools. What I Want From You I am asking — not farming engagement: Do you use agent skills at all? If yes, what tool? Claude Code? Cursor? Something else? What is missing? What skill have you wished existed but could not find? What domain is underserved? Personas vs skills — does the agent approach resonate? Would you rather pick individual skills, or load a pre-configured "Growth Marketer" agent that knows what to do? Do you care about quality guarantees? If a skill came with eval results showing it actually improves output quality, would that change your decision to use it? What tool integrations matter most? We support 11 tools but I want to know which ones people actually use day-to-day. Drop a comment, roast the approach, suggest something wild. I am listening. Thx - Reza submitted by /u/nginity [link] [comments]

promptfoo: OpenAI가 인수한 LLM 평가·레드팀 도구 완벽 가이드

TL;DR promptfoo는 LLM 앱의 성능 평가(eval)와 보안 레드팀을 하나의 CLI로 통합한 오픈소스 도구입니다. 2026년 3월 OpenAI에...

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