GenAI PM
tool7 mentions· Updated Jun 22, 2026

skills.sh

Skills.sh is a site hosting agent skills and tutorials, including frontend best-practices guidance. Here it hosts Vercel Labs' React best-practices tutorial.

Key Highlights

  • skills.sh emerged as a fast-growing hub for reusable agent skills, tutorials, and community-submitted AI workflows.
  • Newsletter coverage tracks growth from 20,000 skills in January 2026 to more than 700,000 by June 2026.
  • v0 integration made skills.sh practically important by letting users attach reusable skills directly to agent generations.
  • The platform also hosts curated learning content, including Vercel Labs’ React best-practices tutorial for agents.
  • For AI PMs, skills.sh is a strong case study in marketplaces, discoverability, reuse, and Git-based AI product workflows.

skills.sh

Overview

skills.sh is a Vercel-associated hub for discoverable, reusable agent skills, tutorials, and workflow components that can be attached to AI tools and agents. In newsletter coverage, it appears both as a large-scale community marketplace for installable skills and as a learning destination for curated materials such as Vercel Labs’ “Agent Skills: React Best Practices” tutorial. Its growth story is notable: from tens of thousands of skills in early 2026 to more than 700,000 community-driven skills by mid-June.

For AI Product Managers, skills.sh matters because it represents an emerging distribution layer for agent behavior: reusable instructions, workflows, and best practices that can be shared across products, prompts, and teams. It also illustrates how AI-native product ecosystems are being built around Git-based contribution flows, discoverability, reusable prompt attachments, and production deployment pipelines—making it a useful case study in productizing agent capabilities at scale.

Key Developments

  • 2026-01-25: Newsletter coverage notes that the skills.sh marketplace reached 20,000 agent skills, signaling early ecosystem traction.
  • 2026-01-28: Guillermo Rauch reports that skills.sh is adding 550+ skills per hour. Coverage also mentions the v1.1.1 release, with improved CLI tools plus better search and discoverability.
  • 2026-02-04: skills.sh is described as a Vercel-hosted hub built entirely in VZero/v0, with 34,000+ community-submitted AI skills and as many as 500 new submissions per hour.
  • 2026-02-05: In a live How I AI episode, Guillermo Rauch demonstrates v0 by Vercel and highlights skills.sh hosting 40,000+ installable AI skills, alongside a code-to-production pipeline powered by Git repositories and pull requests.
  • 2026-06-15: Guillermo Rauch reports that skills.sh has surpassed 700,000 organic, community-driven skills, underscoring rapid expansion within the open AI ecosystem.
  • 2026-06-16: v0 adds reusable skills support, letting users attach a skill from the prompt bar so the agent applies it in every generation. Skills can be sourced from skills.sh, saved skills, or a user’s own repository.
  • 2026-06-22: Guillermo Rauch points to Vercel Labs’ “Agent Skills: React Best Practices” tutorial on skills.sh, with additional support materials expected.

Relevance to AI PMs

1. A model for reusable agent behavior: AI PMs can study skills.sh as an example of how to package prompts, workflows, and domain expertise into reusable units that improve consistency across generations and use cases. 2. A marketplace signal for demand discovery: The rapid growth in submissions and total skill count suggests strong user demand for modular AI capabilities. PMs can use this pattern to think about marketplaces, templates, and user-generated extensions in their own products. 3. A case study in AI-native product loops: skills.sh connects creation, discovery, attachment, iteration, and deployment. That makes it useful for PMs designing feedback loops around versioning, search, curation, repository sync, and quality control for agent features.

Related

  • v0: Closely connected as a Vercel agent/product environment that can pull and apply reusable skills from skills.sh directly in the prompt bar.
  • Vercel: The broader company ecosystem around skills.sh, including hosting, deployment workflows, and product integration.
  • Guillermo Rauch: A primary public voice behind product updates, growth milestones, and demonstrations involving skills.sh.
  • Vercel Labs: Publisher of tutorial content on skills.sh, including the React best-practices agent skill.
  • agent-skills: Conceptually aligned with skills.sh’s core unit of value: reusable capabilities or instruction bundles for agents.
  • open-ai-ecosystem: skills.sh is framed in coverage as part of a broader ecosystem of community-created AI capabilities.
  • dzero / v111: Related through product/version references in coverage about the skills platform’s evolution, tooling, and discoverability.

Newsletter Mentions (7)

2026-06-22
𝕏 Guillermo Rauch points to Vercel Labs’ new “Agent Skills: React Best Practices” tutorial on Skills.sh, with more support materials coming soon.

#5 𝕏 Guillermo Rauch points to Vercel Labs’ new “Agent Skills: React Best Practices” tutorial on Skills.sh, with more support materials coming soon.

2026-06-16
v0 now supports reusable skills: attach one from the prompt bar and the agent applies it in every generation.

#10 𝕏 v0 now supports reusable skills: attach one from the prompt bar and the agent applies it in every generation. Pull skills from https://www.skills.sh/, your saved skills, or your own repo.

2026-06-15
Guillermo Rauch reports that skills.sh has surpassed 700,000 organic, community-driven skills, showcasing its rapid growth and impact within the open AI ecosystem.

#13 𝕏 Guillermo Rauch reports that skills.sh has surpassed 700,000 organic, community-driven skills, showcasing its rapid growth and impact within the open AI ecosystem.

2026-02-05
How I AI episode in SF featuring Guillermo Rauch demonstrating v0 by Vercel, which spun up skills.sh hosting 40k+ installable AI skills and introduced a code→production pipeline powered by git repos and PRs.

#1 in Claire Vo recorded the first live How I AI episode in SF featuring Guillermo Rauch demonstrating v0 by Vercel, which spun up skills.sh hosting 40k+ installable AI skills and introduced a code→production pipeline powered by git repos and PRs.

2026-02-04
skills.sh, a Vercel-hosted hub built entirely in VZero, now contains over 34 000 community-submitted AI skills and is receiving up to 500 new skill submissions per hour.

#8 ▶️ “Anyone can cook”: How v0 is bringing git workflows to vibe-coding | Guillermo Rauch (Vercel CEO) How I AI Podcast Guillermo Rauch demonstrates how VZero, Vercel’s AI-driven IDE, makes full Git workflows—branch creation, VS Code sandboxed dev environment, preview deployments and PR generation—first-class for evolving skills.sh from prototype to production. skills.sh, a Vercel-hosted hub built entirely in VZero, now contains over 34 000 community-submitted AI skills and is receiving up to 500 new skill submissions per hour. In VZero a single button click creates a branch named “project/feature” (e.g. v0/rouchg), spins up a sandbox VM with Next.js dev server and full VS Code editor, auto-installs dependencies, and auto-generates a PR with an instant production-grade preview on Vercel’s CDN.

2026-01-28
As reported by Guillermo Rauch , skills.sh is now adding over 550 skills every hour.

From LinkedIn • Deeper Insights AI Product Launches & Updates As reported by Guillermo Rauch , skills.sh is now adding over 550 skills every hour. The latest v1.1.1 release (vercel.fyi/skills-v1.1.1) brings enhanced CLI tools and improved search and discoverability, with users able to run commands like ‘reforge@shell’ to explore new capabilities.

2026-01-25
Skills.sh marketplace hits 20,000 agent skills

GenAI PM Daily January 25, 2026 GenAI PM Daily 🎧 Listen to this brief 3 min listen Today's curated insights on AI product management from X, LinkedIn, and YouTube. Skills.sh marketplace hits 20,000 agent skills From X AI Product Launches & Updates Qwen3-TTS update with streaming, voice design & Instruct-style control : Qwen @Alibaba_Qwen announced streaming inference support in collaboration with vLLM , explained using Voice Design plus the Base model’s clone feature for consistent voice tone , and confirmed the upcoming 25Hz open-source model will enable Instruct-style control . Vercel AI Dashboard powered by Opus 4.5, Sandbox & Gateway : Guillermo Rauch @rauchg highlighted that the new dashboard’s “Jarvis of data” enables querying product and business metrics (e.g., “How many users opted in…?”) using Opus 4.5 , Sandbox , and Gateway , emphasizing there’s “ no going back .” AI Tools & Applications Context engineering for long-horizon agents podcast : Harrison Chase @hwchase17 hosted a discussion with Sonya and Grady on agent harnesses , coding agents , and using traces as a source of truth to build robust, long-horizon agents . Claude Code vs. Claude Cowork use cases : George from 🕹prodmgmt.world @nurijanian contrasted Claude Code for multi-file debugging and refactoring with Claude Cowork for admin tasks like PDF form filling, DOCX editing, and file management. Streamlined agent tooling by removing 80% of tools : Guillermo Rauch @rauchg pointed to a Vercel blog post detailing how they removed 80% of agent tools to streamline and focus their agent tooling . Product Management Insights & Strategies AI-powered interview practice with ChatGPT : George from 🕹prodmgmt.world @nurijanian outlined using ChatGPT as a mock interviewer to practice product design questions, set timers, and get feedback on user segmentation , success metrics , technical constraints , and prioritization . Compounding productivity with portable scripts & workflows : George from 🕹prodmgmt.world @nurijanian suggested encapsulating skills in scripts and workflows using markdown and custom tools so you can contribute immediately at new roles instead of starting from scratch. Aligning prioritization frameworks to uncertainty : George from 🕹prodmgmt.world @nurijanian advised choosing RICE , ICE , Opportunity Solution Trees , or WSJF based on data maturity , stage , and risk type , noting most issues stem from clarity rather than the framework itself . AI Industry Developments & News Skills.sh marketplace hits 20,000 agent skills : Guillermo Rauch @rauchg updated that the skills.sh marketplace now hosts 20,000 agent skills , underscoring rapid ecosystem expansion. AI talent move to Google DeepMind : Logan Kilpatrick @OfficialLoganK welcomed Alan Cowen following his move from Hume AI to Google DeepMind , highlighting ongoing voice AI advancements and infrastructure sharing. From LinkedIn • Deeper Insights AI Tools & Applications Rapid prototyping with Google AI Studio: Peter Yang sat down with Google AI Studio PM lead Logan Kilpatrick to uncover a clever prototyping hack: instead of building multiple prototypes, ask the AI to embed a toggle button that flips between five or six design variations in a single UI. This approach streamlines iterations and makes the PM workflow more engaging. End-to-end deployments with AI coding agents on Render: Tal Raviv highlights how Render, billed as “what Heroku was supposed to be for coding agents,” lets PMs delegate both code fixes and deployment tasks to an AI agent. By defining stack and infra in a single configuration file and linking GitHub, the agent handles outages, testing, and communication—mirroring the roles of dev and ops teams. Product Management Insights & Strategies Bringing rigor to AI agent prompts with Intent Engineering: Karthick Nethaji Kaleeswaran shares Pawel Huryn’s Intent Engineering framework, which treats AI agent capabilities like feature specs—defining clear constraints, decision autonomy, and success criteria. This shift from “vague prompting” to structured intent definitions helps teams avoid unpredictable agent behavior and align AI actions with product goals. Staying on the cutting edge and addressing governance gaps: Henry Finkelstein lists top resources—Dan Shipper, Every Inc., and livecasts featuring recursive Git workflows and cloud-based agent flows—that have boosted his personal productivity. He also calls out persistent gaps in governance, evaluation, and alignment when scaling from solo AI “agents” to team-based implementations, urging PMs to build robust oversight and collaboration frameworks.

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