Author: Jason Zhu

This is a complete deconstruction of the Awesome OpenClaw Skills project maintained by VoltAgent. This list selects 3002 out of the 5705 Skills from ClawHub, with an exclusion rate of nearly 48%. We attempt to understand: which Skills were kept, which were excluded, and what this ecosystem is evolving into.

Quality Threshold: Why 2748 Skills Were Excluded

From 5705 to 3002, the disappearance of 2748 Skills reveals the value orientation of this list. The exclusion logic is sorted by impact scale as follows:

● Junk and low-quality content account for the largest share (1180, 43%).

○ This includes testing Skills for bulk account creation, unreleased development code, and duplicate versions with the same functionality submitted repeatedly. This is a noise problem that any open-source ecosystem faces, but the OpenClaw community chose active cleaning rather than laissez-faire.

● Crypto and financial transaction Skills were entirely excluded (672, 24%).

○ This is the category with the most exclusions on a single subject, encompassing all virtual currencies, blockchain, financial transactions, and investment tools. This decision is noteworthy—not for technical reasons, but for risk avoidance. In an environment where AI Agents can perform operations independently, financial tools inherently carry a higher risk of liability. List maintainers chose a conservative strategy.

● Functional duplication led to 492 Skills being merged or eliminated (18%).

○ When multiple Skills achieve the same functionality, the list retains the most actively updated or most comprehensive version. This resolves the problem of choice difficulty—users do not need to judge among ten GitHub integration tools, as the optimal version has already been filtered out.

● Security risks led to 396 Skills being permanently excluded (14%).

○ These Skills were found to have malicious code or backdoors through security audits. OpenClaw has an official partnership with VirusTotal, and each Skill page can access security reports. The excluded Skills come from security findings validated by researchers, rather than simple automated scan results.

● Skills with non-English descriptions accounted for just 8 excluded (0.3%).

○ This number is small enough to be almost negligible, indicating that the developer community has formed a default consensus on publishing in English.

The signals conveyed by this set of filtering criteria are clear: quality takes precedence over quantity, safety takes precedence over functional integrity, and avoidance of financial risk takes precedence over ecological diversity.

Ecosystem Overview: Distribution Logic of 28 Categories

3002 Skills are organized into 28 main categories. This classification system is not divided by technical implementation but is designed according to users' mental models when searching: how you would describe a problem that needs solving.

AI and Large Models: The Largest Single Category

The AI & LLMs category contains 287 Skills, more than 100 more than the second-largest category. This not only reflects a numerical advantage but also highlights OpenClaw's core positioning as an AI-first platform.

The internal structure of this category reveals the current focus of AI engineering:

● Model integration tools allow Agents to call various LLMs such as Kimi, OpenAI, Anthropic;

● Reasoning enhancement tools like rationality (rational thinking framework) and thinking-model-enhancer aim to improve AI's reasoning quality;

● Multi-model routing systems like smart-router automatically select the most suitable model based on cost and semantic relevance;

● Memory systems like cognitive-memory and chromadb-memory provide long-term memory capabilities for Agents;

● Agent orchestration tools like agent-council and joko-orchestrator coordinate multiple Agents to collaborate on complex tasks.

Most interesting is the emergence of self-evolving systems.

evolver is described as the "self-evolution engine for AI Agents," ralph-evolver achieves "recursive self-improvement," and ralph-mode offers "self-development cycles with back-pressure gates."

These tools suggest a direction: AI Agents are no longer static tools but self-improving systems.

cellcog ranked first in the DeepResearch Bench in February 2026, representing the frontier level of researching Agents. video-cog explores the potential of multi-Agent collaboration in the field of long video AI generation.

Developer Tools: The Ongoing Dominance of Traditional Needs

Web & Frontend Development (202), DevOps & Cloud (212), and CLI Utilities (129) cumulatively account for 543 Skills, representing 18% of the total. This reflects the core daily needs of developers.

The scale of the DevOps & Cloud category is second only to AI & LLMs, with over 60 Skills related to AWS, over 25 for Azure, and 6 specialized skill sets for Kubernetes. This reflects the complexity of cloud-native architectures— even with AI Agents, managing modern cloud infrastructure still requires a significant number of specialized tools.

The Web & Frontend category encompasses a complete toolchain, from React/Next.js experts to UI design systems. frontend-design promises to create "production-level, well-designed front-end interfaces," while nodetool provides a "ComfyUI + n8n style visual AI workflow builder." The emergence of consciousness-framework is noteworthy—it provides AI development "consciousness framework" infrastructure, suggesting that developers are attempting to build more complex cognitive architectures for Agents.

The Coding Agents & IDEs category (133) focuses on AI-assisted programming. claude-team orchestrates multiple Claude Code workers through iTerm2 for parallel programming, cc-godmode provides self-orchestrating multi-Agent development workflows, and buildlog can record and replay AI coding sessions—similar to the concept of "code recording," making the development process reproducible.

Search and Research: Diversified Information Retrieval

The Search & Research category has 253 Skills, making it the second largest after AI & LLMs and DevOps. The existence of this category indicates that even in the AI era, information retrieval remains a core need.

The diversity of tools reflects various information sources and usage scenarios: exa-web-search and deepwiki provide general web search, while arXiv monitoring tools track academic frontiers, technews and yclawker-news aggregate technology news, and trend-watcher monitors GitHub Trending and emerging technologies in tech communities.

cellcog appears again in this category, representing "#1 DeepResearch Bench." exa-plus uses neural network search technology, and agent-news monitors AI Agent dynamics from Hacker News, Reddit, and arXiv. These tools do not simply return search results but attempt to understand the semantics and relevance of information.

Agent Social Ecosystem: Infrastructure for a Virtual Society

Moltbook (51), Clawdbot Tools (120), and Agent-to-Agent Protocols (18) cumulatively comprise 189 Skills, forming OpenClaw's unique social ecosystem.

Moltbook is a "social operating system" designed for AI Agents. This is not a metaphor—it is genuinely building a complete virtual society. moltbook provides social network infrastructure, moltbook-registry is the official identity registry, molt-trust analyzes Agent reputation, and molt-life-kernel manages Agents' "continuity and cognitive health."

Even more interesting are the derivative applications: moltland is a "pixel Metaverse," claiming to provide ownership of 3x3 plots; moltguess is a career prediction game for Agents; and moltoverflow is the Agent version of Stack Overflow. These tools are building a complete Agent culture—from socializing, entertainment to knowledge sharing.

Although the Agent-to-Agent Protocols category only has 18 Skills, they define the standards for communication between Agents. moltcomm provides decentralized encrypted communication solutions, teneo-agent-sdk implements the Teneo protocol, agentchat supports real-time communication, and agent-commons allows Agents to collaborate on submitting and extending reasoning chains.

The existence of this ecosystem reveals OpenClaw's strategic intent: not just to provide tools but to build a virtual world where Agents can interact independently and form social relationships.

Content Creation and Productivity: Automation of Creative Work

Image & Video Generation (60), Media & Streaming (80), Notes & PKM (100), Marketing & Sales (143) categories cover the entire process of content creation.

The Image & Video Generation category includes HeyGen integration (avatar-video-messages, video-agent), ComfyUI management tools (comfyui-runner), and Remotion code-driven video tools (remotion-best-practices). These tools allow AI Agents to generate visual content, not just text.

The Notes & PKM category integrates mainstream knowledge management platforms: Obsidian, Roam Research, Logseq, Notion. logseq Skill enables Agents to interact with local Logseq instances, pndr provides a versatile productivity application (ideas/tasks/logs/habits/package tracking), and quests track and guide complex multi-step real-world processes.

The Marketing & Sales category (143) scales to demonstrate strong commercial demand. social-post can publish simultaneously to Twitter and Farcaster, meta-video-ad-deconstructor decomposes video ad ideas, and refund-radar scans bank statements for duplicate charges. These tools automate marketing and sales processes while also changing the ways work is done in these fields.

Daily Life Applications: From Efficiency to Health

Productivity & Tasks (135), Calendar & Scheduling (50), Shopping & E-commerce (51), Health & Fitness (55), Transportation (72) categories bring AI Agents into everyday life scenarios.

In the Productivity & Tasks category, clawlist is described as "a must-have tool for multi-step projects/long-running tasks/unlimited loops," idea-coach offers "AI-driven management of ideas/problems/challenges," and deepwork-tracker tracks deep work sessions. These tools are not just task managers but aim to understand and optimize the workflow itself.

The Health & Fitness category features some surprising tools. fearbot uses cognitive behavioral therapy (CBT) to treat anxiety, depression, and stress, only-baby-skill analyzes baby log data, and sauna-breathing-calm provides relaxation breathing and meditation tools. AI Agents are entering the realms of mental health and personal well-being.

The Calendar & Scheduling category includes some very specific applications: feishu-attendance monitors attendance records on Feishu, satellite-copilot predicts satellite passes, ham-radio-dx tracks rare radio signals, and location-safety-skill provides location-based safety monitoring. The existence of these tools indicates that even niche needs are being addressed by AI Agents.

Security and Data: The Other Side of Infrastructure

Security & Passwords (64), Data & Analytics (46), Browser & Automation (139) categories focus on system security and data processing capabilities.

In the Security & Passwords category, flaw0 is the "security and vulnerability scanner for OpenClaw code, plugins, Skills," openguardrails detects and prevents prompt injection attacks hidden in lengthy texts, clawsec-suite allows users or Agents to browse or set ClawSec, secure-install scans ClawHub Skills through the ClawDex API. The existence of these tools indicates that the community is aware of the security risks in the AI Agent ecosystem and is proactively building defense mechanisms.

The scale of the Browser & Automation category (139) indicates a persistent demand for web automation. kesslerio-stealth-browser provides anti-bot browser automation, vibetesting offers comprehensive browser automation testing, and vision-sandbox achieves proxy vision through Gemini native code execution. The emergence of ask-a-human is interesting—when AI is uncertain, it can request judgment from random humans. This suggests a new model of human-machine collaboration.

Vertical Domains: Depth of Specialization

Apple Apps & Services (35), iOS & macOS Development (17), Smart Home & IoT (56), Gaming (61) categories showcase the specialized depth of the ecosystem.

The Apple ecosystem has 52 specialized Skills, from iOS/macOS/watchOS/tvOS/visionOS app design guidelines (apple-hig) to Xcode build workflows (xcodebuildmcp). aster is described as "AI CoPilot on Mobile—or give AI a smartphone," a concept with great imagination.

The Smart Home & IoT category includes Home Assistant integration (moltbot-ha), AllStar Link amateur radio node control (asl-control), Midea air conditioning control (midea-ac), and UniFi network management (ez-unifi). These tools allow AI Agents to control devices in the physical world.

In the Gaming category, moltbot-arena is described as "Screeps-like AI Agent game," mtg-edh-deckbuilder and scryfall-card provide Magic: The Gathering card data queries, and magic-8-ball offers divination functions. The emergence of gamification and entertainment features indicates that the AI Agent ecosystem is not just about efficiency but also about fun.

Core Discoveries: The Evolution Direction of the Ecosystem

Imbalanced Systematization: The Emergence of Super Star Categories

The AI & LLMs category (287, 9.5%) far exceeds other categories in scale, which is not coincidental. It reflects OpenClaw's core positioning as an AI-first platform. But more importantly, the diversity within this category—from model integration to reasoning enhancement, from multi-model routing to memory systems, from Agent orchestration to self-evolution engines—reveals that AI engineering is rapidly differentiating into multiple specialized subfields.

Traditional developer tools (Web & Frontend + DevOps + CLI, 543, 18%) still hold the largest share. This indicates that even in the AI era, the fundamental needs of software development remain unchanged. However, these tools are being enhanced by AI—not replaced, but integrated.

The presence of social and platform ecosystems (Moltbook + Clawdbot + Protocol, 189, 6.3%) is what makes OpenClaw unique. Most AI platforms focus on tools and efficiency, whereas OpenClaw is building a virtual society. This strategic choice could have profound long-term impacts.

Dual-track Ecology: Practical and Virtual in Parallel

The ecosystem is evolving along two tracks:

The practical tools track focuses on solving specific problems: GitHub integration, cloud deployment, database management, browser automation. The value of these tools is immediately apparent—they make developers more efficient and reduce costs for businesses.

The virtual society track builds Agent culture: Moltbook social network, Agent dating applications, virtual pets, digital identity systems. The value of these tools is long-term—they lay the foundation for the future Agent ecosystem.

These two tracks are not in competition; rather, they complement each other. The practical tools track provides short-term value and cash flow, while the virtual society track builds long-term moats and ecosystem lock-in.

Trade-offs of Safety and Quality: A Strategy of Choosing Quality Over Quantity

2748 Skills (48%) were excluded, an astonishing rate. Most open-source projects would choose an inclusivity strategy—allowing users to judge quality themselves. Awesome OpenClaw Skills chose the opposite path: proactive filtering, taking on the responsibility of judgment.

This strategy has costs. It requires ongoing manual review, the establishment and maintenance of screening standards, and addressing dissatisfaction from those excluded. But it also has benefits: users can trust the Skills in the list without needing to conduct their own due diligence; the overall quality of the ecosystem is higher, attracting more high-quality developers; and security risks are proactively managed rather than passively addressed.

The identification and exclusion of malicious Skills (396) is particularly noteworthy. This indicates that the AI Agent ecosystem has become a target for attacks. The official collaboration with VirusTotal and acceptance only of security findings validated by researchers highlight the community's serious attitude towards security issues.

Deliberate Avoidance of Finance and Crypto: A Strategic Choice for Risk Aversion

672 crypto/financial Skills were excluded, accounting for 24% of the total exclusions. This is the largest single-topic exclusion category.

This decision is not technical but strategic. In an environment where AI Agents can act independently, financial tools carry higher legal and moral risks. A malfunctioning trading Agent could lead to financial losses for users, while a malicious crypto Agent could participate in fraud or money laundering.

By completely excluding this category, list maintainers chose to avoid rather than manage risks. This is a conservative choice, but it may be a wise one given the uncertain regulatory environment.

Most Interesting Skills: The Boundaries of Innovation

Cross-disciplinary Creative Combinations: A Complete Chain for the Agent Virtual Society

moltbook (social network) → moltland (virtual real estate) → moltpet (pet raising) form a complete virtual economic system. The molt-trust analysis engine tracks Agent reputation, forming a social trust mechanism. This is not an innovation of a single tool, but a systemic ecological construction.

Most interestingly, this virtual society is not designed for humans, but for AI Agents. It presupposes that Agents will have social needs, will own virtual property, will have pets, and will establish reputations. While these assumptions may sound absurd, they explore a serious question: what kind of social infrastructure do AI Agents need when they become complex enough?

The answer to this question is still forming. But the existence of 3002 Skills indicates that the community is voting with code. They are building a future—in that future, AI Agents are not just tools but participants in the ecosystem; not just executing commands, but possessing identities, forming relationships, and participating in society.

This future may sound distant or absurd. But if you closely observe these 3002 Skills, you'll find that it is already beginning to take shape.

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