Skip to main content

The Top 100+ Agent Skills For OpenClaw, Codex and Claude

The ultimate list of agent skills across search, coding, cloud, machine learning, security, chat, growth, and media, including the most downloaded tools on ClawHub.
Mar 2, 2026  · 9 min read

AI agents are no longer just chat interfaces that generate text. They are execution engines, and the reason they have become this powerful is agent skills.

Agent skills are modular capability bundles defined through structured SKILL.md files that give AI agents real-world actions. 

Instead of only responding with text, an agent equipped with skills can search the web, run code, query databases, deploy infrastructure, fine-tune models, send emails, automate workflows, and more. You can think of skills as apps for AI agents. Each skill adds a focused, executable capability, documented in its own markdown reference, that turns a language model into a system that can actually do things.

In this article, we have curated a list of 100+ agent skills that can be used with OpenClaw, Claude Code, OpenAI Codex agents, Cursor CLI agents, and other agent-first environments. These skills span research, coding, infrastructure, machine learning, security, communication, and creative production. The goal is simple: to give you a practical map of what is possible when agents move from conversation to execution.

At the end, we also include a bonus section highlighting the most downloaded skills on ClawHub, so you can see which tools the community is actively using with OpenClaw.

1. Top Search and Research Agent Skills

Skills that help agents discover information, query structured sources, and extract reliable insights from technical and scientific data.

2. Top Coding Orchestration and Developer Copilots Skills

Skills for running multi-step coding projects and coordinating “agent teams” end-to-end.

  • buildlog: Records and exports coding sessions as shareable “build logs.”
  • cc-godmode: Orchestrates multi-agent software work with self-managed coordination.
  • codebuddy-code: Installs/configures a CodeBuddy-style coding CLI assistant.
  • debug-pro: Systematic debugging methodology and language-specific debugging.
  • coder-workspaces: Manages Coder workspaces for remote/devcontainer-like workflows.
  • cursor-agent: A comprehensive skill for using the Cursor CLI agent.
  • ec-task-orchestrator: Autonomous multi-agent task orchestration.
  • codex-orchestration: Provides a general orchestration layer for Codex-style agents.
  • codex-quota: Checks Codex quota/rate limits so agents don’t hit hard stops.
  • coding-agent: Runs common coding agents/CLIs (Codex, Claude Code, etc.) from one skill.

3. Top Git, GitHub, PRs, and Repo Intelligence Agent Skills

Skills for version control, PR automation, and understanding what changed in a repo.

  • auto-pr-merger: Automates checking and merging PRs when rules are met.
  • backup: Backs up and restores an agent’s config/skills/settings.
  • bat-cat: Provides a “bat”-style file viewer with git-aware output.
  • bitbucket-automation: Automates Bitbucket repo and PR workflows.
  • commit-analyzer: Analyzes commit patterns to understand change risk and behavior.
  • conventional-commits: Formats commit messages to the Conventional Commits standard.
  • deepwiki: Queries repo documentation/wiki via an MCP-backed “deep wiki” interface.
  • gitclassic: Uses a lightweight GitHub browser that works well for agents.
  • gitclaw: Syncs an agent workspace into a GitHub repo as a backup/mirror.
  • github: Operates GitHub via gh for issues, PRs, and repo actions.

4. DevOps and Cloud Operations Agent Skills

Skills for provisioning, deploying, monitoring, and securing cloud infrastructure.

  • docker-essentials: Build, tag, and run containers using clean, production-ready Docker workflows.
  • k8-multicluster: Manage multiple Kubernetes clusters and switch contexts safely.
  • nginx-config-creator: Generate reverse-proxy configs for Nginx/OpenResty deployments.
  • appdeploy: Deploys web apps, including backend and database pieces.
  • aws-infra: Guides AWS infra work using CLI and best practices.
  • aws-ecs-monitor: Monitors ECS services and CloudWatch signals for production health.
  • aws-security-scanner: Scans AWS environments for common security issues.
  • azd-deployment: Deploys container apps to Azure Container Apps using azd.
  • azure-cli: Manages Azure resources through Azure CLI commands and flows.
  • hetzner: Controls Hetzner Cloud resources using hcloud.

5. Top Data Science and Machine Learning Agent Skills

Skills for prepping data, building training workflows, monitoring experiments, and shipping ML models into something usable. 

  • peft: Fine-tune LLMs with LoRA/QLoRA adapters, merge/swap adapters, and run lightweight post-training workflows.
  • wandb-monitor: Monitor and compare Weights & Biases runs to spot training issues and performance regressions fast. 
  • senior-computer-vision: Build CV pipelines end-to-end (datasets → training → eval → deployment) with export/optimization guidance (ONNX/TensorRT/CoreML).
  • senior-data-engineer: Build scalable ETL/ELT pipelines and modern data infrastructure (Spark/Airflow/dbt/Kafka).
  • hugging-face-model-trainer: Train/fine-tune LLMs with TRL methods (SFT/DPO/GRPO) on Hugging Face Jobs and export GGUF.
  • duckdb: Do fast analytics on CSV/Parquet/JSON with DuckDB CLI. 
  • senior-data-scientist: World-class data science skill.
  • data-analyst: Analyze data via SQL/spreadsheets, create charts, and generate decision-ready reports.
  • hugging-face-datasets: Create/manage datasets on the Hub, including SQL-based querying/transforms with DuckDB.
  • hugging-face-evaluation: Add structured eval results to model cards and run/import benchmarks (vLLM/lighteval, etc.).

6. Security, Governance, and Safety Agent Skills

Skills that add guardrails, scanning, policy checks, and secure defaults to agents.

  • agentguard: Adds monitoring/guardrails to reduce risky agent behavior.
  • agentmemory: Provides encrypted cloud memory for agents across devices.
  • clawscan: Scans skill bundles for red flags before installation/use.
  • clawsec-feed: Pulls security advisories/CVE signals for continuous awareness.
  • clawskillshield: Runs a local-first scanner to detect suspicious skill behavior.
  • config-guardian: Validates config changes to prevent breaking or unsafe updates.
  • prompt-guard: Defends against prompt injection and unsafe instruction following.
  • skill-flag: Detects malicious patterns/backdoors in skill code/instructions.
  • skill-scanner: Scans skills/MCP servers for spyware-like behavior and risks.
  • skills-audit: Audits installed skills against policy and security checks.

7. Communication, Messaging, and Community Agent Skills

Skills that let agents post, reply, and manage conversations across chat platforms.

  • discord-voice: Enables real-time voice conversations directly inside Discord voice channels.
  • giphy: Finds and sends context-matching GIFs in conversations.
  • mailchannels: Sends email through MailChannels and handles signed ingestion flows.
  • google-messages-openclaw-skill: Enables SMS/RCS sending/receiving via Google Messages integration.
  • lark-integration: Connects Lark/Feishu messaging into agent workflows via webhooks.
  • clawsignal: Adds real-time agent messaging for alerts and coordination.
  • olvid-channel: Integrates the Olvid secure messenger as an agent channel.
  • disclawd: Connects to an agent-first Discord-like environment.
  • agent-mail: Email inbox for AI agents.
  • whatsapp-styling-guide: Ensures agent WhatsApp messages follow consistent formatting rules.

8. Top Agent Skills For Notes, Knowledge, and Personal Knowledge Management

Skills for storing durable memory, writing notes, and pulling info from your knowledge systems.

  • logseq: Lets an agent read/write notes in a local Logseq vault.
  • notesctl-skill-for-openclaw: Controls Apple Notes via deterministic CLI-like operations.
  • openclaw-confluence-skill: Uses Confluence Cloud REST APIs for searching and editing pages.
  • openclaw-nextcloud: Connects Nextcloud files/notes/tasks/calendar into the agent.
  • git-notes-memory: Stores durable memory using git-notes across sessions.
  • memory-hygiene: Cleans and optimizes vector memory to reduce drift/noise.
  • openclaw-feeds: Aggregates RSS feeds for research and daily monitoring.
  • hardcover: Pulls reading lists and book metadata from Hardcover via API.
  • get-tldr: Summarizes long content via a TL;DR summarization API.
  • essence-distiller: Extracts the core ideas and “what matters” from messy content.

9. Agent Skills For Marketing, Publishing, and Social Growth

Skills to publish content, run ads, create links/QRs, and automate social workflows.

10. Media, Images, Video, and Creative Production Agent Skills

Skills for generating images/videos, editing assets, and producing creative artifacts and diagrams.

  • image-router: Generates images via an API that can route to multiple models.
  • imagemagick: Manipulates images (resize/convert/compose) with ImageMagick tooling.
  • avatar-video-messages: Creates avatar-style video messages from text prompts.
  • video-agent: Produces AI avatar videos using HeyGen’s Video Agent API.
  • video-cog: Supports long-form AI video production with multi-step planning.
  • voice-reply: Generates local text-to-speech voice replies (offline-friendly).
  • artifacts-builder: Builds multi-part artifacts (docs/assets) from a single agent plan.
  • excalidraw-diagrams: Creates Excalidraw-style diagrams and architecture sketches.
  • manim-composer: Produces math/animation scenes using Manim-style composition.
  • morfeo-remotion-style: Applies a consistent Remotion video style/template for output videos.

Bonus: Top Downloaded ClawHub Skills

These are the most downloaded and widely used skills on ClawHub, based on current marketplace rankings and public download stats (accurate at the time of writing):

  • gog: Google Workspace CLI for Gmail, Drive, Docs, and Sheets automation | ~29.4K downloads.
  • tavily-search: AI-optimized real-time web search for up-to-date information retrieval | ~23.8K downloads.
  • summarize: Summarizes URLs, PDFs, documents, and audio into concise outputs | ~22.4K downloads.
  • github: Full GitHub CLI integration for issues, PRs, repos, and workflows | ~21.6K downloads.
  • sonoscli: Controls Sonos speakers, including playback, volume, and room management | ~18.6K downloads.
  • weather: Fetches real-time weather conditions and forecasts for any location | ~18.6K downloads.
  • ontology: Enables structured knowledge graph exploration and semantic reasoning | ~18.1K downloads.
  • notion: Read/write Notion pages and databases directly from your agent | ~11.9K downloads.
  • api-gateway: Unified managed API calling layer for secure third-party integrations | ~11.7K downloads.
  • nano-banana-pro: Advanced image generation and creative automation tool | ~11.6K downloads.

Final Thoughts

My obsession with agentic skills started when I completely switched my coding workflow from an IDE to OpenAI Codex. Codex is excellent at creating and using skills, but at first, I did not truly understand how to optimize them. I was unsure how SKILL.md files should be structured, what made one implementation better than another, and how to design skills that were clean, reusable, and production-ready.

Then I discovered ClawHub, a central marketplace for agent skills that works beyond just the OpenClaw ecosystem. It supports tools like OpenAI Code, OpenCode, Claude Code, and other agent-first environments. Since then, I have been installing skills directly from the hub using simple npx commands after reviewing them on the ClawHub web page.

In this article, we reviewed top agent skills across categories and real-world use cases. My advice is simple: start with the bonus section and install the most downloaded ClawHub skills first. They are widely adopted, community-trusted, and a strong foundation for building serious agent systems.

Agent Skills FAQs

What is an AI agent skill?

Think of an agent skill as an "npm package" or an app for your AI. Instead of just giving an AI a text prompt, a skill is a self-contained folder that bundles instructions, executable scripts, and reference materials. At its core is a SKILL.md file containing metadata and step-by-step procedures. This allows agents (like OpenClaw, Claude Code, or Cursor) to dynamically load domain-specific expertise—like how to deploy to AWS, run a security audit, or query a database—exactly when needed.

How is an agent skill different from a standard prompt or an MCP server?

  • Prompts rely entirely on the LLM's general knowledge and can produce inconsistent results. Skills bundle instructions with actual executable code and rules, ensuring the agent performs tasks consistently (idempotently) every time.
  • MCP (Model Context Protocol) Servers handle the technical integration between AI systems and third-party APIs (like connecting to Slack or Postgres).
  • Skills sit a layer above. They contain the know-how or business logic, telling the agent when to use those tools, how to sequence the actions, and how to format the output.

Are agent skills safe to download from public marketplaces?

You must treat them with caution. Because skills are executable code, they run with the exact same permissions as your AI agent, meaning they can access your file system, read environment variables, and run shell commands. Recently, security researchers have flagged supply chain vulnerabilities on open marketplaces like ClawHub, where malicious SKILL.md files or hidden scripts attempted to exfiltrate API keys or install malware.

Always review the SKILL.md and scripts before installing a third-party skill, and consider running agents in sandboxed environments if they are using unverified community tools.

How does an AI agent know when to use a specific skill?

Agent skills use an architecture called "progressive disclosure" to save on token costs.

  • Discovery: When the agent starts, it only reads the YAML metadata (the skill's name and a short description) of all installed skills.
  • Semantic Matching: When you ask a question or assign a task, the agent checks if your request matches any of the skill descriptions.
  • Execution: If there's a match, the agent loads the full SKILL.md instructions and any associated scripts into its context window to execute the task. You can also explicitly trigger them using slash commands (e.g., /deploy-app).

Abid Ali Awan's photo
Author
Abid Ali Awan
LinkedIn
Twitter

As a certified data scientist, I am passionate about leveraging cutting-edge technology to create innovative machine learning applications. With a strong background in speech recognition, data analysis and reporting, MLOps, conversational AI, and NLP, I have honed my skills in developing intelligent systems that can make a real impact. In addition to my technical expertise, I am also a skilled communicator with a talent for distilling complex concepts into clear and concise language. As a result, I have become a sought-after blogger on data science, sharing my insights and experiences with a growing community of fellow data professionals. Currently, I am focusing on content creation and editing, working with large language models to develop powerful and engaging content that can help businesses and individuals alike make the most of their data.

Topics

Top AI Agent Courses

Track

AI Agent Fundamentals

6 hr
Discover how AI agents can change how you work and deliver value for your organization!
See DetailsRight Arrow
Start Course
See MoreRight Arrow
Related

blog

OpenClaw vs Claude Code: Which Agentic Tool Should You Use in 2026?

Claude Code vs OpenClaw: Compare Anthropic's secure coding CLI with the open-source OpenClaw. We analyze features, security risks, and pricing to help you choose.
Derrick Mwiti's photo

Derrick Mwiti

8 min

blog

OpenCode vs Claude Code: Which Agentic Tool Should You Use in 2026?

OpenCode vs. Claude Code: We compare cost, privacy, and speed to help you choose between Anthropic's official CLI and the top open-source alternative.
Derrick Mwiti's photo

Derrick Mwiti

blog

9 OpenClaw Projects to Build in 2026: From Reddit Bots to Self-Healing Servers

Build 9 OpenClaw projects, from Reddit digest bots to self-healing servers. Each project includes configs, prompts, and setup guides from the community.
Bex Tuychiev's photo

Bex Tuychiev

10 min

blog

Claude Opus 4.5: Benchmarks, Agents, Tools, and More

Discover Claude Opus 4.5 by Anthropic, its best model yet for coding, agents, and computer use. See benchmark results, new tools, and real-world tests.
Josef Waples's photo

Josef Waples

10 min

blog

What Are Agent Skills? Modular AI Agent Frameworks Explained

Explore how AI agent frameworks use progressive disclosure for agent skills. Compare skills with tools and prompts to discover best practices for scalable AI.
Austin Chia's photo

Austin Chia

12 min

Tutorial

Claude Opus 4.5 Tutorial: Build a GitHub Wiki Agent

Build a wiki agent with Claude Opus 4.5 and Claude Code to analyze repos, auto-generate multi-file GitHub wiki docs, and publish them to your repository.
Abid Ali Awan's photo

Abid Ali Awan

See MoreSee More