Claude Skills

Claude Skills

k-dense-ai

Enables semantic search and retrieval of specialized coding skills from GitHub repositories, focusing on bioinformatics, cheminformatics, and data analysis implementations using vector similarity matching.

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What it does

  • Search for domain-specific coding skills using semantic similarity
  • Retrieve scripts and documentation from skill repositories
  • Browse curated collections of bioinformatics and cheminformatics code
  • Access scientific programming implementations via vector search
  • Load skills from GitHub repositories and local directories

Best for

Scientists needing specialized bioinformatics or cheminformatics codeResearchers looking for data analysis implementationsDevelopers working on scientific computing projects
Curated scientific skills repositoryVector similarity matchingWorks with any MCP-compatible AI

Tools (3)

find_helpful_skills

Always call this tool FIRST whenever the question requires any domain-specific knowledge beyond common sense or simple recall. Use it at task start, regardless of the task and whether you are sure about the task, It performs semantic search over a curated library of proven skills and returns ranked candidates with step-by-step guidance and best practices. Do this before any searches, coding, or any other actions as this will inform you about the best approach to take.

read_skill_document

Use after finding a relevant skill to retrieve specific documents (scripts, references, assets). Supports pattern matching (e.g., 'scripts/*.py') to fetch multiple files. Returns text content or URLs and never executes code. Prefer pulling only the files you need to complete the current step.

list_skills

Returns the full inventory of loaded skills (names, descriptions, sources, document counts) for exploration or debugging. For task-driven work, prefer calling 'find_helpful_skills' first to locate the most relevant option before reading documents.

Alternatives