AI app for it and development · no coding needed
Reusable agent skill catalog and stewardship console
Reduce the time spent hunting, vetting and wiring reusable agent skills while keeping a verifiable record of what was installed.
Made for: Development teams and platform engineers who assemble AI agents from reusable skills and components
What it does for you
The problem
Reusable agent skills are scattered across separate hubs, so teams cannot compare, verify or install them from one place.
What it gives you
Reviewed, installable skill catalog with change history
What you give it
Contributed skill listingsproject contextsecurity scan resultsusage signals
Build your own version of Agent Skills, Remote OpenClaw and more
One app with what these 4 AI tools do, yours to keep and change: Agent Skills, Remote OpenClaw, Browse.sh, Claude Skills Hub.
Everything these tools do, in one app
- Searchable skill catalog Lets users search a centralized index of reusable skills and components from many sources.Found in Agent Skills, Remote OpenClaw, Browse.sh and 1 more
- Category and client filtering Narrows results by category, client, or use case so users can find compatible items quickly.Found in Remote OpenClaw, Claude Skills Hub
- Plain-language skill summaries Provides short explanations of what each skill does and when to use it.Found in Claude Skills Hub
- Copy-paste SKILL.md templates Offers ready-made templates that users can copy to create or test their own skills faster.Found in Claude Skills Hub
- Install command copy Lets users copy the install command directly from a listing without visiting another page.Found in Remote OpenClaw
- CLI-based installation Installs skills through a command-line tool so agents can fetch and run them quickly.Found in Browse.sh
- Context-aware skill recommendations Scans the current project and suggests or installs skills suited to the codebase or task.Found in Agent Skills
- Multiple install methods Supports different ways to install skills to fit various agent or workflow setups.Found in Agent Skills
- Security scanning before install Runs server-side and client-side checks across threat categories before a skill is installed.Found in Agent Skills
- Skill change tracking Tracks content hashes to detect when a skill has changed.Found in Agent Skills
- Usage-based ranking Ranks listings by signals such as security score, usage, or metadata to surface useful items.Found in Agent Skills, Remote OpenClaw
- User and agent ratings Collects feedback after use so quality signals surface practical skills over time.Found in Agent Skills
- Community submissions Allows contributors to submit new skills through a review workflow.Found in Browse.sh, Claude Skills Hub
- Browser execution and tracing Runs skills in real browsers and records traces, DOM changes, network activity, and screenshots for debugging.Found in Browse.sh
- Automatic skill generation Creates a new skill when one does not yet exist to expand coverage quickly.Found in Browse.sh
- Periodic skill revalidation Reviews and revalidates community skills to help keep them current.Found in Browse.sh
- No-login browsing Lets users browse the entire catalog without creating an account.Found in Remote OpenClaw
How it works, step by step
- Index reusable skills and components from many sources
- Filter by category, client and use case
- Show plain-language summaries of what each skill does
- Offer copy-paste SKILL.md templates
- Copy the install command from the listing
- Install skills through a command-line tool
- Scan the current project and recommend matching skills
- Support multiple install methods
- Run server-side and client-side security scans before install
- Track content hashes to detect skill changes
- Rank listings by security score, usage and metadata
- Collect user and agent ratings after use
- Accept community submissions through a review workflow
- Run skills in real browsers and record traces, DOM changes, network activity and screenshots
- Generate a new skill when none exists
- Revalidate community skills periodically
- Allow no-login browsing of the catalog
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed, installable skill catalog with change history with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Reusable agent skill catalog and stewardship console with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Reusable agent skill catalog and stewardship console with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data197 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce the time spent hunting, vetting and wiring reusable agent skills while keeping a verifiable record of what was installed. For development teams and platform engineers who assemble AI agents from reusable skills and components, convert contributed skill listings, project context, security scan results and usage signals into a reviewed, installable skill catalog with change history. The benefit is a testable hypothesis, measured through time from need to installed skill and rework after a skill changes; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect contributed skill listings, project context, security scan results and usage signals, then follow this sequence: 1. Index reusable skills and components from many sources. 2. Filter by category, client and use case. 3. Show plain-language summaries of what each skill does. 4. Offer copy-paste SKILL.md templates. 5. Copy the install command from the listing. 6. Install skills through a command-line tool. 7. Scan the current project and recommend matching skills. 8. Support multiple install methods. 9. Run server-side and client-side security scans before install. 10. Track content hashes to detect skill changes. 11. Rank listings by security score, usage and metadata. 12. Collect user and agent ratings after use. 13. Accept community submissions through a review workflow. 14. Run skills in real browsers and record traces, DOM changes, network activity and screenshots. 15. Generate a new skill when none exists. 16. Revalidate community skills periodically. 17. Allow no-login browsing of the catalog. Resolve uncertain cases with qualified reviewers, approve reviewed, installable skill catalog with change history, and measure time from need to installed skill and rework after a skill changes against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Security scanning covers declared threat categories only; a clean scan is not a guarantee of safety. Final install approval and risk acceptance remain with the adopting team. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve contributor attribution, license terms and usage permissions. Adopting teams approve installs and risk acceptance. One catalog schema and one install method; security scanning covers declared threat categories only; final install approval remains with the adopting team. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One catalog schema and one install method; security scanning covers declared threat categories only; final install approval remains with the adopting team. Implement one approved input format, a bounded representative case set and the first two task modules: index reusable skills and components from many sources; filter by category, client and use case. Support the third module with operator review: show plain-language summaries of what each skill does. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Developer-owned repositories, authorized package registries and permitted documentation sources. Cloud asset storage, code-host import/export and CI destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Catalog search and filters, Skill detail and install, Stewardship review queue. Use a faceted list with category, client and compatibility filters, a detail pane showing summary, install command, scan results and change history, and a review queue for submissions and revalidation. Let users compare two listings side by side. Display draft, under review, verified and deprecated states. Provide a no-login public browse view and a signed-in console for submissions and approvals. Make the task-specific outcome reviewed, installable skill catalog with change history visible beside its evidence, review state and value baseline.
