AI Skills for Claude, OpenClaw, and Hermes Worth Using
Reusable AI skills save you from repeating the same instructions across tools. Here are standout skills worth adding to your toolkit.
If you’re constantly jumping between AI tools and agents, you’ll quickly realize that good prompting only gets you so far, and at some point, you’re just repeating the same instructions. Fortunately, skills for AI tools exist to solve exactly that problem.
There are skills that can do anything from making Claude turn any document into a mind map to running, make OpenClaw turn data into actionable reports, or just summarize that massive documentation folder on your drive. And the best part: you can use the same one across all AI tools you want.
Catch Problems Before They Hit Production
Use AI-powered code reviews to spot bugs, improve readability, and provide actionable pull request feedback

Instead of asking your AI whether a PR looks fine and getting inconsistent answers, you can get the pr-reviewer-skill to get a full, repeatable PR review pipeline. It fetches PR diffs and comments via the GitHub CLI, scores changes against security, testing, and maintainability criteria, and then drafts inline comments based on that analysis.
The flagship feature is the two-stage approval step. The skill generates review files first, lets you edit or approve them, and only then posts to GitHub — exactly the kind of guardrail you want when you’re letting an agent write on your behalf.
Turn the Web Into Structured Knowledge
Research topics and automatically organize the results into clean, RAG-ready documents for future retrieval

When you want to turn a URL or topic into something your agents can actually retrieve from later, the firecrawl-knowledge-base skill nails the pattern. Give it a few URLs, a topic, and depth settings, and it uses Firecrawl to crawl the sites and produce LLM-ready markdown chunks in addition to a manifest.json file that describes the collection. It can also output reference documentation, RAG chunk sets, fine-tuning datasets, or even documentation mirrors depending on your goals.
Installation is also straightforward and requires only one command:
npx skills add https://github.com/firecrawl/firecrawl-workflows --skill firecrawl-knowledge-base
For Claude Code, that drops a ready-to-use skill into your .claude/skills folder, and you can start using it right away. Hermes can load the same skill folder, using the generated markdown and manifest.json as a persistent knowledge base for future conversations. OpenClaw can run it from an ops agent on a schedule, writing outputs into a shared directory or database that other skills query when they need context.
Stop Rewriting the Same Documents
Generate documentation, API references, meeting notes, and technical guides with reusable AI skills
Reusable documentation skills let you define your output format once and apply it consistently across projects, whether you’re generating API references, writing up meeting notes, or producing technical guides. Rather than prompting from scratch each time, these skills give your AI a repeatable structure to follow, saving time and keeping your outputs consistent across tools and sessions.