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AS

vercel-labs/agent-skills

AI Agent

Vercel's official collection of agent skills

29k Stars2.6k Forks161 Open Issues29k WatchersJavaScript
AI Agent
Review Readiness

This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.

70

review score

Needs README summaryNeeds license signal
Decision Snapshot

Problem solved

It solves the fragmentation of building custom tool integrations for AI agents by offering a curated, consistent set of skills that work out-of-the-box with Vercel's AI SDK. This reduces boilerplate and ensures compatibility, unlike ad-hoc tool implementations that require manual maintenance and error handling.

Deployment reality

The available setup signal starts with: Install via npm: `npm install @vercel/agent-skills`. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.

Commercial use

No license is recorded. Do not assume this project is free for commercial or internal use until the repository license and dependency licenses are checked.

Capability ceiling

Developers can build agents that autonomously perform web searches, scrape content, interact with APIs (e.g., GitHub, Slack), and process structured data. Real-world use cases include automated research assistants, content aggregation bots, and workflow automation agents. The ceiling is high: with composable skills, agents can handle complex multi-step tasks like monitoring competitor websites and posting summaries to Slack.

Source and compliance noteLast synced: Jul 25, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy
Editorial Evaluation

vercel-labs/agent-skills is tracked as a JavaScript project in the AI Agent area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.

Momentum check: the repository has 29k total stars, with +0 today, +294 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.

Maintenance check: current activity is Moderate; the latest push was 30 days ago, and the open issue queue is 161, about 0.55% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.

Adoption check: 2.6k forks and 29k watchers suggest how often the project is reused or followed. License signal: No license specified. Always verify license compatibility before commercial or internal use.

Practical fit: this project is most relevant when you need JavaScript teams evaluating ecosystem-native tooling. Be cautious when you need clear license metadata before internal adoption.

Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 294. Follow the original GitHub repository for final install, security, and release information.

Evidence Checklist

Analysis

Ready

Original problem, capability, and verdict guidance are available.

Sources

Ready

Repository metadata and README/source references are attached.

License

Limited

License is unknown and should be checked before commercial use.

Maintenance

Ready

Recent activity is visible in repository metadata.

Alternatives

Ready

Enough nearby projects exist for comparison.

Best For
  • JavaScript teams evaluating ecosystem-native tooling
  • teams that prefer mature projects with broad adoption signals
Avoid When
  • you need clear license metadata before internal adoption
  • you need a legal review, security audit, or production SLA
Adoption Signals

Momentum

29k Stars

Reuse

2.6k Forks

Attention

29k Watchers

Maintenance

moderate

License

Unknown

Open issues

161

Overview

Agent Skills is Vercel's official collection of reusable, composable skills for AI agents, designed to extend agent capabilities with pre-built integrations and actions. Its core value proposition is providing a standardized, open-source library of skills that developers can easily plug into their agents to handle common tasks like web scraping, API calls, and data processing.

Tool Positioning

AI Agent

Agent frameworks, autonomous workflows, and tool-use systems

Quick Start
Install via npm: `npm install @vercel/agent-skills`
View on GitHub Project Homepage
Project Activity

70

Health Score

Moderate

Commit Activity

Dec 8, 2025

Created

Jul 24, 2026

Last push

Source Trail

GitHub repository metadata

metadata

GitHub README

readme_summary

Star History

+0

Today's growth

+0

7-day growth

+0

30-day growth

Jul 25, 2026Jul 25, 2026
Community Health
2.6k

Forks

161

Open

29k

Watchers

Owner
AS

vercel-labs

GitHub profile
Topics & Language
JavaScript
Ecosystem & Usage
GitHub Repository Project Website Search on npm
Alternatives & Comparison

obra/superpowers

An agentic skills framework & software development methodology that works.

273k

affaan-m/ECC

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

240k

NousResearch/hermes-agent

The agent that grows with you

231k

mattpocock/skills

Skills for Real Engineers. Straight from my .agents directory.

218k

anomalyco/opencode

The open source coding agent.

198k
License
No license specified
CreatedDec 8, 2025
Last pushJul 24, 2026
Last syncedJul 25, 2026
Repository Standards

✗

License

✓

Forked

~ Moderate

Maintained

AI AnalysisAnalyzed by Git-Stars

Problem Solved

It solves the fragmentation of building custom tool integrations for AI agents by offering a curated, consistent set of skills that work out-of-the-box with Vercel's AI SDK. This reduces boilerplate and ensures compatibility, unlike ad-hoc tool implementations that require manual maintenance and error handling.

Capabilities

Developers can build agents that autonomously perform web searches, scrape content, interact with APIs (e.g., GitHub, Slack), and process structured data. Real-world use cases include automated research assistants, content aggregation bots, and workflow automation agents. The ceiling is high: with composable skills, agents can handle complex multi-step tasks like monitoring competitor websites and posting summaries to Slack.

Bottom Line

Use this if you're building AI agents with Vercel's AI SDK and need reliable, pre-built integrations. Avoid if you require custom skills not in the collection or are using a different agent framework. The key trade-off is convenience versus flexibility—you gain speed and consistency but may need to extend or modify skills for niche use cases.

Full AI Analysis