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.
- ec-task-orchestrator: Autonomous multi-agent task orchestration.
- codex-orchestration: Provides a general orchestration layer for Codex-style agents.
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.
- gitclaw: Syncs an agent workspace into a GitHub repo as a backup/mirror.
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-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.
- prompt-guard: Defends against prompt injection and unsafe instruction following.
- 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.
- google-messages: Enables SMS/RCS sending/receiving via Google Messages integration.
- claude-code-feishu: Connects Feishu messaging into agent workflows via webhooks.
- clawsignal: Adds real-time agent messaging for alerts and coordination.
- agent-mail: Email inbox for AI agents.
- whatsapp-styler: 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.
9. Agent Skills For Marketing, Publishing, and Social Growth
Skills to publish content, run ads, create links/QRs, and automate social workflows.
Skills for generating images/videos, editing assets, and producing creative artifacts and diagrams.
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.
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.mdfiles 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.
3. Top Git, GitHub, PRs, and Repo Intelligence Agent Skills
Skills for version control, PR automation, and understanding what changed in a repo.
4. DevOps and Cloud Operations Agent Skills
Skills for provisioning, deploying, monitoring, and securing cloud infrastructure.
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.
6. Security, Governance, and Safety Agent Skills
Skills that add guardrails, scanning, policy checks, and secure defaults to agents.
7. Communication, Messaging, and Community Agent Skills
Skills that let agents post, reply, and manage conversations across chat platforms.
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.
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.
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):
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.mdfiles 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
npxcommands 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.