Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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quarto-docs
Quarto document conventions for data science analysis scripts (.qmd). Use when creating or rendering .qmd analysis scripts in data science projects with numbered scripts, status fields, git hash capture, and BUILD_INFO.txt. Do NOT load for Quarto books, websites, or documentation projects — those use standard Quarto conventions without numbered script prefixes or BUILD_INFO.txt.
majiayu000/claude-skill-registry 163
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bmad-sm
sm agent
majiayu000/claude-skill-registry 163
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verify
Redirects to review deep. Use review with depth levels instead.
majiayu000/claude-skill-registry 163
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expansion-strategy
Upsell, cross-sell, and account growth tactics. Framework for revenue expansion.
majiayu000/claude-skill-registry 163
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performance
Optimización de Rendimiento - React Native. Use when optimizing performance or profiling code.
majiayu000/claude-skill-registry 163
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write-contracts
Generates secure Aptos Move V2 smart contracts with Object model, Digital Asset integration, security patterns, and storage type guidance. Includes comprehensive storage decision framework for optimal data structure selection. Triggers on: 'write contract', 'create NFT collection', 'build marketplace', 'implement minting', 'generate Move module', 'create token contract', 'build DAO', 'implement staking'. Ask storage questions when: 'store', 'track', 'registry', 'mapping', 'list', 'collection'.
majiayu000/claude-skill-registry 163
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fix
ALWAYS activate this skill before fixing ANY bug, error, test failure, CI/CD issue, type error, lint, log error, UI issue, code problem.
majiayu000/claude-skill-registry 163
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Feature Engineering
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
majiayu000/claude-skill-registry 163
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parxy
Document parsing and PDF manipulation using the Parxy library. Use when:
(1) Parsing PDFs or documents to extract text/structure
(2) Converting documents to markdown
(3) Batch processing multiple documents
(4) Merging, splitting, or optimizing PDFs
(5) Managing PDF attachments
majiayu000/claude-skill-registry 163
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azure-mgmt-fabric-py
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.
Triggers: "azure-mgmt-fabric", "FabricMgmtClient", "Fabric capacity", "Microsoft Fabric", "Power BI capacity".
majiayu000/claude-skill-registry 163
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clearbit-enrichment
Company and contact data enrichment via Clearbit APIs
majiayu000/claude-skill-registry 163
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ci:status
Check PR CI status - all checks, failures, test results, and artifacts
majiayu000/claude-skill-registry 163
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health-probe
Health probes for both sides of the AGI stack — openclaw_gateway + arifOS MCP
majiayu000/claude-skill-registry 163
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networkx
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
majiayu000/claude-skill-registry 163
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documenter-vitepress
Use when setting up or developing a Julia based documentation site with DocumenterVitepress.jl. Also use when the user mentions DocumenterVitepress, VitePress for Julia docs, or wants to preview docs locally with hot reload.
majiayu000/claude-skill-registry 163
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superspec:plan
Use after specs are validated to create TDD implementation plan.
Each Scenario in Specs becomes a test case in the plan.
Combines bite-sized TDD tasks with spec references.
majiayu000/claude-skill-registry 163
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c4-container
Expert C4 Container-level documentation specialist. Synthesizes Component-level documentation into Container-level architecture, mapping components to deployment units, documenting container interfaces as APIs, and creating container diagrams. Use when synthesizing components into deployment containers and documenting system deployment architecture.
majiayu000/claude-skill-registry 163
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skill-creator-jp
Create new Claude Code Agent Skills in Japanese with proper SKILL.md format, trigger design, and evaluation methods. Triggers on requests for スキル作成, 新しいスキルを作る, SKILL.md作成, Agent Skill テンプレート, スキルの書き方.
majiayu000/claude-skill-registry 163
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ck:plans-kanban
View plans dashboard with progress tracking and timeline visualization. Use for kanban boards, plan status overview, phase progress, milestone tracking, project visibility.
majiayu000/claude-skill-registry 163
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fix-pr
Thoroughly address ALL PR comments using parallel Opus subagents. Each subagent invokes /task skill.
majiayu000/claude-skill-registry 163
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aeo-visibility-monitor
Run recurring AEO (Answer Engine Optimization) visibility checks across ChatGPT, Perplexity, Gemini, and Claude. Compares each run to the previous one to surface visibility changes, competitor movements, and missed query opportunities. Wraps aeo-visibility with delta analysis and trend tracking. Use when a marketing team wants to know whether their brand is winning (or losing) in AI search over time.
majiayu000/claude-skill-registry 163
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bright-data
Web scraping and data extraction using Bright Data proxy network.
majiayu000/claude-skill-registry 163
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docx
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks
majiayu000/claude-skill-registry 163
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coreml
Integrate and optimize Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodelc, .mlpackage), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
majiayu000/claude-skill-registry 163