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 evolved from a fast-growing marketplace of installable agent skills into a broader hub for reusable skills and tutorials.
  • Newsletter coverage tracked skills.sh scaling from 20,000 skills in January 2026 to more than 700,000 community-driven skills by mid-June.
  • Its integration with v0 shows how reusable skills can persist across generations and standardize agent behavior inside products.
  • The Vercel Labs React best-practices tutorial on skills.sh highlights the platform’s role in packaging expert guidance for agents.
  • For AI PMs, skills.sh is a useful reference for designing marketplaces, internal skill libraries, and repeatable agent workflows.

skills.sh

Overview

skills.sh is a Vercel-associated hub for discovering, sharing, and applying reusable agent skills—portable instruction packs, workflows, and tutorials that can shape how AI agents behave across coding and product tasks. It has been described in newsletter coverage as a fast-growing, community-driven marketplace for installable AI skills, and more recently as a home for curated learning content such as Vercel Labs’ “Agent Skills: React Best Practices” tutorial.

For AI Product Managers, skills.sh matters because it represents a practical layer between foundation models and repeatable product outcomes. Instead of relying on one-off prompts, teams can package best practices, domain knowledge, and operating procedures into reusable skills that can be attached to agents, reused across sessions, and in some cases pulled directly into products like v0. That makes skills.sh relevant not just as a content directory, but as infrastructure for standardizing agent behavior, improving output quality, and scaling successful workflows across teams.

Key Developments

  • 2026-01-25: skills.sh was reported to have reached 20,000 agent skills, signaling early marketplace traction and rapid ecosystem expansion.
  • 2026-01-28: Guillermo Rauch reported that skills.sh was adding more than 550 skills per hour; the v1.1.1 release also highlighted enhanced CLI tooling plus better search and discoverability.
  • 2026-02-04: skills.sh was described as a Vercel-hosted hub built entirely in VZero/v0, surpassing 34,000 community-submitted AI skills and receiving up to 500 new submissions per hour.
  • 2026-02-05: In a live How I AI episode in San Francisco, Guillermo Rauch demonstrated v0 by Vercel and showed how skills.sh had grown to 40,000+ installable AI skills, alongside a code-to-production workflow powered by git repositories and pull requests.
  • 2026-06-15: Guillermo Rauch reported that skills.sh had surpassed 700,000 organic, community-driven skills, underscoring its breakout growth within the broader open AI ecosystem.
  • 2026-06-16: v0 added support for reusable skills, allowing users to attach a skill from the prompt bar so the agent applies it in every generation; skills could be sourced from skills.sh, saved skills, or a user’s own repository.
  • 2026-06-22: Guillermo Rauch pointed to Vercel Labs’ “Agent Skills: React Best Practices” tutorial on skills.sh, positioning the site not only as a skill marketplace but also as a host for curated tutorials and support materials.

Relevance to AI PMs

  • Turn repeatable prompting into productized workflows. AI PMs can use skills.sh as a model for converting tribal knowledge—prompt templates, QA checks, coding conventions, onboarding flows, research playbooks—into reusable skills that improve consistency across teams and tools.
  • Standardize agent behavior across environments. With products like v0 pulling in reusable skills, PMs can think tactically about which behaviors should persist across generations, such as design-system compliance, frontend best practices, security constraints, or launch-checklist enforcement.
  • Learn from community demand and usage patterns. The platform’s rapid growth suggests strong demand for packaged agent behaviors. PMs can use this as validation for marketplaces, internal skill libraries, discoverability features, ranking systems, and contribution workflows in their own AI products.

Related

  • v0 / VZero / v111: Closely linked product context around reusable skills, AI-assisted development workflows, branching, sandboxed coding environments, and PR-based deployment flows.
  • Vercel: The company most directly associated with skills.sh in coverage, including hosting, ecosystem integration, and product storytelling.
  • Guillermo Rauch: Primary public voice highlighting skills.sh’s growth, product milestones, and integrations.
  • Vercel Labs: Publisher of the “Agent Skills: React Best Practices” tutorial hosted on skills.sh.
  • agent-skills: Conceptually connected as the broader category of reusable instructions, workflows, and capability bundles for AI agents.
  • open-ai-ecosystem: skills.sh has been framed as part of the expanding ecosystem of community-created AI assets and agent tooling.
  • dzero: Related by naming/product adjacency within the Vercel ecosystem and discussions around AI-native development workflows.

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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