ai
Things related to artificial intelligence built on top of Nasdanika capabilities
Install / Use
claude mcp add Nasdanika -- npx -y github:Nasdanika/aiIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of ai
ai scores 49/100 on our quality scale, 4310th of 4,650 Development & Engineering skills we index.
Its MCP Server is 2.2 KB long, lightly structured (1 heading) and no code examples: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-20 found the source still online.
- It is released under EPL-2.0, a copyleft license: you can use it, but modified versions you distribute must carry the same license.
- Its trust signals score 85/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-13. Automated pattern scan on 2026-10-13. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
ai compared with similar skills
All 4 of these similar skills score higher than ai; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ai (this skill)by Nasdanika | 49 | 3 | 4mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 105.5k | 3d ago | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 104.3k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.1k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 67.1k | 1d ago | CLAUDE.md |
Frequently asked questions
- How do I install ai?
- Run
claude mcp add Nasdanika -- npx -y github:Nasdanika/ai. The install tabs above show the steps for each supported agent. - Which AI agents does ai work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is ai safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is EPL-2.0-licensed and scores 85/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is ai still maintained?
- The repository was last updated about 4 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubAI
Things related to artificial intelligence operating on top of other Nasdanika capabilities. Specifically, operating on top of resource sets - collections of interconnected models. Models and resource sets abstract AI components from low level implementation details.
"Narrator" processors which describe model elements and their relationships in multiple ways. For example, in the sample family the model with derived relationships and capability-based reasoning can be used to explain that:
- Paul is a parent of Lea
- Paul is a father of Lea
- Lea is a child of Paul
- Lea is a daughter of Paul
- Elias is a sibling of Lea
- Elias is a brother of Lea
- ...
Also, using EObject -> EClass relationship it may be explained that Lea is a woman and then a definition of a woman from the metamodel can be given.
This text can be added to Lea's description. Then the resulting text can be chunked, embedings can be generated and added to a vector store. This can be used for semantic search and RAG which takes not only semantic distance, but also graph distance into account.
For example, for a question/chat in Dave's context semantic matches from Elias would have higher weight/smaller distance than matches from Paul.
Key components:
- Embeddings - from OpenAI and Ollams
- Vector store - https://github.com/jelmerk/hnswlib. Observations from a local computer:
- ~ 10 minutes to load 200K vectors from https://dl.fbaipublicfiles.com/fasttext/vectors-crawl/cc.en.300.vec.gz previously downloaded
- ~ 2.5 Gb index file
- ~ 90 sec to load index from the file
- Chat completions
- CLI
- Vector store mixin
- Embeddings generator for search-documents.json
- Vector store generator from search-documents.json with embeddings or not. Brand-new or add/update existing
- Semantic search HTTP Server routes
- Chat Vuejs component - adapt https://medium.com/@alen.ajam/building-a-simple-chat-app-with-vue-js-462c4a53c6ad
- Chatting with a site - serve both a static site and semantic search command, OpenAI and Ollama. Docker on a GCP VM.
- Chatting with a model
Later maybe agents based on the Invocation flow.
Related Skills
Agent-Reach
105.5kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
taste-skill
104.3kAgent skills that give coding agents taste: art direction, reference images and a browser check instead of generic AI pages
headroom
78.1kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ai-job-search
67.1kThe job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.