devops
Deploy and manage cloud infrastructure on Cloudflare (Workers, R2, D1, KV, Pages, Durable Objects, Browser Rendering), Docker containers, and Google Cloud Platform (Compute Engine, GKE, Cloud Run, App Engine, Cloud Storage). Use when deploying serverless functions to the edge, configuring edge computing solutions, managing Docker containers and images, setting up CI/CD pipelines, optimizing cloud infrastructure costs, implementing global caching strategies, working with cloud databases, or building cloud-native applications.
context-manager
Manages permanent memory storage for decisions, blockers, context, preferences, and procedures. Use when user says "remember", "save this decision", "what did we decide", "recall", "search memories", "any blockers", or when making important architectural decisions. Provides SDAM compensation through external memory.
content-collections
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cloudflare-worker-base
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cloudflare-vectorize
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cloudflare-turnstile
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cloudflare-sandbox
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cloudflare-r2
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cloudflare-queues
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cloudflare-nextjs
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cloudflare-mcp-server
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cloudflare-kv
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kegg-database
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
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.
multi-repository-orchestrator
Coordinate development workflows across multiple Git repositories with synchronized branching, batch commits, cross-repo operations, and monorepo-like workflows for microservices and multi-package projects.
markitdown
Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing audio, performing OCR on images, extracting YouTube transcripts, or processing batches of files. Supports 20+ formats including DOCX, XLSX, PPTX, PDF, HTML, EPUB, CSV, JSON, images with OCR, and audio with transcription.
lamindb
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
hypogenic
Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks.
histolab
Digital pathology image processing toolkit for whole slide images (WSI). Use this skill when working with histopathology slides, processing H&E or IHC stained tissue images, extracting tiles from gigapixel pathology images, detecting tissue regions, segmenting tissue masks, or preparing datasets for computational pathology deep learning pipelines. Applies to WSI formats (SVS, TIFF, NDPI), tile-based analysis, and histological image preprocessing workflows.
gtars
High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.
cloudflare-images
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geniml
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
flowio
Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.
etetoolkit
Phylogenetic tree toolkit (ETE). Tree manipulation (Newick/NHX), evolutionary event detection, orthology/paralogy, NCBI taxonomy, visualization (PDF/SVG), for phylogenomics.
esm
Comprehensive toolkit for protein language models including ESM3 (generative multimodal protein design across sequence, structure, and function) and ESM C (efficient protein embeddings and representations). Use this skill when working with protein sequences, structures, or function prediction; designing novel proteins; generating protein embeddings; performing inverse folding; or conducting protein engineering tasks. Supports both local model usage and cloud-based Forge API for scalable inference.
diffdock
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
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.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
json-config-helper
Validate, format, and work with JSON configuration files
infrastructure-skill-builder
Transform infrastructure documentation, runbooks, and operational knowledge into reusable Claude Code skills. Convert Proxmox configs, Docker setups, Kubernetes deployments, and cloud infrastructure patterns into structured, actionable skills.
hugo
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debug
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reviewing-code-multi-ai
Orchestrates multiple AI tools (Claude, Codex, Gemini, Droid) for comprehensive code review from multiple perspectives. Use for "멀티 AI 리뷰", "코드 리뷰", "종합 리뷰" requests or when thorough multi-agent review is needed.
looping-pr-reviews
Waits for PR reviews and automatically applies fixes in a loop. Analyzes review comments and commits corrections until approval. Use for "리뷰 대기", "리뷰 반영", "자동 리뷰 수정", "review loop" requests.
managing-tasks
Integrates with Task Master CLI (tm) for AI-powered project task management. Use for "다음 작업", "작업 목록", "tm", "task", "작업 상태" requests or when managing project tasks.
automating-appstore-connect
Automates App Store Connect via JWT API/Playwright hybrid. Supports app info, builds, TestFlight deployment, screenshot upload, and app submission. Use for "ASC", "TestFlight", "앱스토어", iOS deployment tasks.
managing-discord
Manages Discord servers/channels via REST API. Supports channel CRUD, permissions, messaging, and webhooks. Use for "Discord", "디스코드", "채널 관리", "discord bot" requests.
integrating-search-console
Integrates with Google Search Console API. Supports search performance analysis, URL inspection, sitemap management, and site verification. Use for "GSC", "서치콘솔", "검색 성과", "SEO 분석" requests.
managing-kubernetes
Manages Kubernetes clusters via kubectl. Supports pod/deployment/service management, log viewing, port-forwarding, and debugging. Use for "k8s", "kubectl", "파드", cluster management tasks.
uploading-to-notion
Uploads Claude session summaries or markdown reports to Notion. Use for "노션 업로드", "결과 저장", "notion 정리", "세션 요약", "리포트 업로드", "보고서 작성" requests.
managing-obsidian-tasks
Reads and manages tasks from Obsidian Vault's TaskManager. Supports Board.md (Kanban), Table.md (Dataview), Notes/*, with automatic workspace project sync. Use for "작업 목록", "할일 조회", "task 읽기", "obsidian 작업" requests.
writing-to-obsidian
Uploads documents to Obsidian Vault. Saves project context to workspace/{project}/context/, research/reports to articles/ with YYYY-MM-DD prefix. Use for "obsidian 업로드", "옵시디언 저장", "vault 업로드", "아티클 저장" requests.
managing-services
Centrally manages Docker containers and services. Supports service registration, listing, status updates, and port conflict detection. Use for "서비스 등록", "서비스 목록", "포트 확인", "컨테이너 관리", "docker 상태" requests.
developing-slack-apps
Develops Slack apps and API integrations. Supports Bolt framework, Block Kit UI, event handling, and slash commands. Use for "Slack", "슬랙", "봇", "webhook" requests or Slack app development.
managing-vault-secrets
Manages credentials and API keys from Vaultwarden. Auto-triggers when credentials are needed. Use for "vault 조회", "API 키 가져와", "비밀번호 저장", "secret 등록" requests.
karpathy-guidelines
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
managing-skills
Manages the skill ecosystem and maintains quality. Provides skill status overview, quality analysis, issue diagnosis, improvement suggestions, auto-fixes, and new skill creation guides. Use for "스킬 분석", "스킬 현황", "스킬 만들기", "스킬 개선" requests.
recommending-skills
Automatically recognizes and recommends suitable skills for user requests. Discovers helpful installed skills even without explicit skill requests. Implicitly activates on all user requests.
processing-audio
Converts and processes audio files using ffmpeg. Supports format conversion, sample rate changes, mono/stereo conversion, and segment splitting. Use for "오디오 변환", "wav 변환", "샘플레이트", "ffmpeg" requests.
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