Topic: mcp
13,395 skills in this topic.
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arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
foryourhealth111-pixel/Vibe-Skills 1,415
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scientific-writing
Core skill for the deep research and writing tool. Write scientific manuscripts in full paragraphs (never bullet points). Use two-stage process: (1) create section outlines with key points using research-lookup, (2) convert to flowing prose. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), for research papers and journal submissions.
foryourhealth111-pixel/Vibe-Skills 1,415
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gene-database
Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.
foryourhealth111-pixel/Vibe-Skills 1,415
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speckit-specify
Create or update feature specifications from natural language descriptions. Use when starting new features or refining requirements. Generates spec.md with user stories, functional requirements, and acceptance criteria following spec-driven development methodology.
foryourhealth111-pixel/Vibe-Skills 1,415
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torch_geometric
Compatibility alias for the underscore PyG skill name. Delegate to the canonical local `torch-geometric` payload while preserving route compatibility.
foryourhealth111-pixel/Vibe-Skills 1,415
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get-available-resources
This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic recommendations that inform computational approach decisions such as whether to use parallel processing (joblib, multiprocessing), out-of-core computing (Dask, Zarr), GPU acceleration (PyTorch, JAX), or memory-efficient strategies. Use this skill before running analyses, training models, processing large datasets, or any task where resource constraints matter.
foryourhealth111-pixel/Vibe-Skills 1,415
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scientific-visualization
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
foryourhealth111-pixel/Vibe-Skills 1,415
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openai-knowledge
Compatibility alias for OpenAI platform documentation guidance. Delegate to the canonical local `openai-docs` payload while preserving route compatibility.
foryourhealth111-pixel/Vibe-Skills 1,415
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scvi-tools
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.
foryourhealth111-pixel/Vibe-Skills 1,415
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latex-submission-pipeline
LaTeX submission pipeline: templates, local build (latexmk), bibliography (bibtex/biber), lint (chktex), formatting (latexindent), CI build (GitHub Actions), and submission zip packaging.
foryourhealth111-pixel/Vibe-Skills 1,415
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aios-architect
Architect (Aria). Use for system architecture (fullstack, backend, frontend, infrastructure), technology stack selection (technical evaluation), API design (REST/GraphQL/tRPC/We...
foryourhealth111-pixel/Vibe-Skills 1,415
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transformer-lens-interpretability
Provides guidance for mechanistic interpretability research using TransformerLens to inspect and manipulate transformer internals via HookPoints and activation caching. Use when reverse-engineering model algorithms, studying attention patterns, or performing activation patching experiments.
foryourhealth111-pixel/Vibe-Skills 1,415
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code-reviewer
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.
foryourhealth111-pixel/Vibe-Skills 1,415
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claude-skills
Claude Skills meta-skill: extract domain material (docs/APIs/code/specs) into a reusable Skill (SKILL.md + references/scripts/assets), and refactor existing Skills for clarity, activation reliability, and quality gates.
foryourhealth111-pixel/Vibe-Skills 1,415
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visualization-best-practices
Visualization Best Practices - Auto-activating skill for Data Analytics.
Triggers on: visualization best practices, visualization best practices
Part of the Data Analytics skill category.
foryourhealth111-pixel/Vibe-Skills 1,415
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string-database
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
foryourhealth111-pixel/Vibe-Skills 1,415
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denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
foryourhealth111-pixel/Vibe-Skills 1,415
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triage-reviews
Fetch PR review comments, verify each against real code/docs, fix valid issues, commit and push
stickerdaniel/linkedin-mcp-server 1,486
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chatgpt-app-builder
Guide developers through creating ChatGPT apps.
Covers the full lifecycle: brainstorming ideas against UX guidelines, bootstrapping projects, implementing tools/widgets, debugging, running dev servers, deploying and connecting apps to ChatGPT.
Use when a user wants to create or update a ChatGPT app / MCP server for ChatGPT, or use the Skybridge framework.
connorads/lumo-mcp-app 1
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mcp-apps
Build MCP App servers that deliver interactive HTML user interfaces to hosts like Claude.ai and ChatGPT. Use when creating MCP servers with UI resources, building interactive tools with visual output, or implementing bidirectional communication between iframe UIs and MCP hosts. Covers the ui:// resource scheme, tool-UI linkage, postMessage JSON-RPC transport, CSP security, and sandbox architecture. Triggers on: "MCP app", "MCP UI", "ui:// resource", "interactive MCP tool", "MCP server with interface", "MCP iframe".
connorads/lumo-mcp-app 1
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pre-modification-check
Use before modifying, refactoring, or deleting files in a codebase that has Repowise indexed (indicated by a .repowise/ directory). Activates when Claude is about to edit code, especially shared utilities, core modules, or files the user didn't explicitly mention. Helps assess impact and avoid breaking things.
repowise-dev/repowise 1,072
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dead-code-cleanup
Use when the user asks about cleanup, removing unused code, refactoring, reducing bundle size, or identifying dead code in a Repowise-indexed codebase (.repowise/ directory exists). Also activates when discussing technical debt, code hygiene, or repository maintenance.
repowise-dev/repowise 1,072
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architectural-decisions
Use when encountering questions about WHY code is built a certain way, when about to make architectural changes (new patterns, restructuring, choosing between approaches), or when the user asks about design rationale in a Repowise-indexed codebase (.repowise/ directory exists). Also activates when commit messages or code comments contain decision signals like "WHY:", "DECISION:", "TRADEOFF:", "ADR:".
repowise-dev/repowise 1,072
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codebase-exploration
Use when exploring, understanding, or answering questions about a codebase that has Repowise indexed (indicated by a .repowise/ directory in the project root). Activates for questions like "how does X work", "explain the architecture", "where is Y implemented", "what does this module do", or any task requiring understanding of codebase structure before diving into source files.
repowise-dev/repowise 1,072