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 agent skills into a broader hub for reusable skills and tutorials.
- Newsletter mentions tie skills.sh closely to Vercel’s v0 workflow, where attached skills can shape every generation.
- Reported growth moved from 20,000 skills in January 2026 to more than 700,000 by mid-June 2026.
- For AI PMs, the platform is a strong example of how teams can package best practices into portable, repeatable agent behavior.
- Vercel Labs’ React best-practices tutorial shows that skills.sh also serves as an educational layer, not just a marketplace.
At a glance
- Website
- https://www.skills.sh
- Category
- Documentation/Education
skills.sh
Overview
skills.sh is a Vercel-linked hub for reusable AI agent skills, tutorials, and community-contributed workflows. In the newsletter coverage, it appears both as a fast-growing marketplace of installable skills and as a home for instructional content such as Vercel Labs’ Agent Skills: React Best Practices tutorial. The platform is closely associated with Vercel’s broader agent ecosystem, especially v0, where users can attach a skill from the prompt bar so the agent applies that guidance across generations.For AI Product Managers, skills.sh matters because it represents a practical layer between raw model capability and repeatable product behavior. Instead of relying on one-off prompts, teams can package best practices, domain workflows, and coding conventions into reusable skills that are discoverable, shareable, and increasingly integrated into development and generation pipelines. The rapid growth in submissions and adoption signals an emerging distribution surface for agent behavior, onboarding, and productized expertise.
Key Developments
- 2026-01-25 — Newsletter coverage notes that the skills.sh marketplace reached 20,000 agent skills, highlighting early momentum in the ecosystem.
- 2026-01-28 — Guillermo Rauch reports that skills.sh is adding more than 550 skills per hour, alongside a v1.1.1 release focused on CLI improvements 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 — During a live How I AI episode in San Francisco, Guillermo Rauch demonstrates v0 by Vercel and shows how skills.sh had grown to 40,000+ installable AI skills, tied to a code-to-production workflow powered by Git repos and pull requests.
- 2026-06-15 — Guillermo Rauch reports that skills.sh has surpassed 700,000 organic, community-driven skills, underscoring major scale and community traction within the open AI ecosystem.
- 2026-06-16 — v0 adds reusable skills support, allowing users to attach skills from the prompt bar and apply them in every generation; those skills can be sourced from skills.sh, saved skills, or a user’s own repository.
- 2026-06-22 — Guillermo Rauch points to Vercel Labs’ new “Agent Skills: React Best Practices” tutorial on skills.sh, signaling a role for the site beyond marketplace distribution and into structured educational content.
Relevance to AI PMs
1. Operationalize best practices into repeatable agent behavior. AI PMs can use a skills layer to standardize how agents handle coding conventions, UX patterns, QA steps, or domain-specific tasks instead of depending on inconsistent prompt wording.2. Create reusable product workflows across teams and tools. Because skills.sh is mentioned in connection with v0, saved skills, and repo-based skills, PMs can think of skills as portable product assets that support onboarding, experimentation, and cross-functional consistency.
3. Track ecosystem demand and packaging trends. The platform’s rapid growth in skill volume and submission rates suggests a strong market for modular AI capabilities. PMs can use this signal to prioritize templates, integrations, discovery features, and governance models for reusable agent behaviors.
Related
- v0 — The most direct product connection. v0 supports attaching reusable skills, and skills.sh acts as one source for those skills.
- vercel — Vercel is the company most closely tied to skills.sh in the mentions, including hosting, ecosystem support, and workflow integration.
- guillermo-rauch — Frequently cited as the public voice announcing milestones, growth metrics, and new tutorials related to skills.sh.
- vercel-labs — Connected through the React best-practices tutorial hosted on skills.sh.
- agent-skills — Conceptually central; skills.sh functions as a distribution and discovery layer for installable or attachable agent skills.
- open-ai-ecosystem — skills.sh is presented as a fast-growing node in the broader ecosystem for reusable AI capabilities.
- v111 — Referenced in connection with a release that improved CLI tooling and discovery around skills workflows.
- dzero — Related through Vercel’s agent/dev environment ecosystem referenced alongside skills.sh and v0 workflows.
Frequently asked questions
What is 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.
What should AI product managers know about skills.sh?
skills.sh evolved from a fast-growing marketplace of agent skills into a broader hub for reusable skills and tutorials. Newsletter mentions tie skills.sh closely to Vercel’s v0 workflow, where attached skills can shape every generation. Reported growth moved from 20,000 skills in January 2026 to more than 700,000 by mid-June 2026.
Newsletter Mentions (7)
“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.
“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.
“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.
“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.
“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.
“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.
“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.
Related
Founder and CEO of Vercel, mentioned for announcing a capability where agents can purchase domains. Relevant to AI PMs because it signals agent commerce and autonomous workflow expansion.
A cloud platform used to deploy the Tabi app quickly. It is also referenced in the safer API design discussion.
A collaborative AI product design/building tool that now supports team visibility and shared workspaces. Useful for PMs collaborating on prototype and product workflows.
Agent Skills are reusable capability modules or instructional patterns for agents. The newsletter references a React best-practices tutorial framed as an agent skill.
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