Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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skill-creation-guide
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
majiayu000/claude-skill-registry 163
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infographic-creation
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
majiayu000/claude-skill-registry 163
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candidate-evaluation
Evaluate GitHub contributors for MLOps/engineering roles. Use when analyzing candidates, researching GitHub profiles, or updating CONTRIBUTORS.md with hiring assessments.
majiayu000/claude-skill-registry 163
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LangGraph Patterns Expert
Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow
majiayu000/claude-skill-registry 163
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umbraco-openapi-client
Set up OpenAPI client for authenticated API calls in Umbraco backoffice (REQUIRED for custom APIs)
majiayu000/claude-skill-registry 163
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elasticsearch-logs
Elasticsearch log search and analysis
majiayu000/claude-skill-registry 163
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jobs-theory
Clarify what job your product actually does for people. Use when uncertain about value proposition, preparing customer interviews, writing positioning/copy, or deciding what to build. Interactive and output-focused - produces job statements, interview scripts, and opportunity analysis rather than lecturing theory.
majiayu000/claude-skill-registry 163
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moai-foundation-context
Enterprise context and session management with token budget optimization and state persistence
majiayu000/claude-skill-registry 163
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sudoku
Fetch Sudoku puzzles and store them as JSON in the workspace; render images on demand; reveal solutions later.
majiayu000/claude-skill-registry 163
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data-engineering
Use this skill when designing or reviewing data pipelines, ETL processes, data warehouses, streaming systems, or any system where data movement, transformation, and quality are primary concerns. Applies data engineering thinking to specifications, designs, and implementations.
majiayu000/claude-skill-registry 163
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figma-to-html
Figma 디자인을 정적 HTML/CSS로 변환합니다. Figma 링크나 node-id가 제공되면 MCP를 통해 디자인 정보를 가져와 정확한 코드를 생성합니다. Use when converting Figma designs to HTML/CSS, or when user mentions Figma links, design conversion, or static HTML implementation.
majiayu000/claude-skill-registry 163
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jotai-reactive-atoms
Implement reactive state management with Jotai atoms in Electron renderer. Use when creating atoms with real-time IPC updates or hybrid stream + HTTP patterns.
majiayu000/claude-skill-registry 163
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connection-pool-analyzer
Analyze connection pool analyzer operations. Auto-activating skill for Performance Testing.
Triggers on: connection pool analyzer, connection pool analyzer
Part of the Performance Testing skill category. Use when analyzing or auditing connection pool analyzer. Trigger with phrases like "connection pool analyzer", "connection analyzer", "analyze connection pool r".
majiayu000/claude-skill-registry 163
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repo-source-code-test
Write unit tests for Formisch packages/core with proper TypeScript types. Use when creating new tests, fixing type errors in tests, or adding test coverage for core functions.
majiayu000/claude-skill-registry 163
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standards-golang
Apply Go development standards including module management, go test testing, gofmt/go vet/golangci-lint code quality, idiomatic error handling, and self-documenting code practices. Use this skill when working with Go backend code, managing dependencies, running tests, or ensuring code quality. Apply when installing packages, writing tests, formatting code, handling errors, organizing imports, or deciding whether to create new files vs. extending existing ones. Use for any Go development task requiring adherence to tooling standards and best practices.
majiayu000/claude-skill-registry 163
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predicate-logic
Problem-solving strategies for predicate logic in mathematical logic
majiayu000/claude-skill-registry 163
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kafka-schema-management
Design and manage Kafka message schemas with type safety and schema evolution.
Use when defining event schemas, creating schema validators, managing versions,
and generating type-safe Pydantic/msgspec models from schema definitions.
Supports schema registry patterns and backward/forward compatibility.
majiayu000/claude-skill-registry 163
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wordpress-router
Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).
majiayu000/claude-skill-registry 163
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hevy
Query workout data from Hevy including workouts, routines, exercises, and history. Use when user asks about their workouts, gym sessions, exercise progress, or fitness routines.
majiayu000/claude-skill-registry 163
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truth-in-noise-encoder
Iteration 16 of Multiplicity Cascade - Hides truth in indistinguishable noise
majiayu000/claude-skill-registry 163
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learning-dashboard-builder
dashboard-builder for measuring learning effectiveness and business impact.
majiayu000/claude-skill-registry 163
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axiom-swiftui-animation-ref
Use when implementing SwiftUI animations, understanding VectorArithmetic, using @Animatable macro, zoom transitions, UIKit/AppKit animation bridging, choosing between spring and timing curve animations, or debugging animation behavior - comprehensive animation reference from iOS 13 through iOS 26
majiayu000/claude-skill-registry 163
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test-resource-service
Test resource services that handle CRUD operations. Use when testing services that extend BaseService with authorization and event emission. Triggers on "test note service", "test resource service", "test crud service".
majiayu000/claude-skill-registry 163
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pytorch-geometric
Library for Graph Neural Networks (GNNs). Covers MessagePassing layers, modular aggregation schemes, and handling large graphs via mini-batching with disjoint graph representation. (pyg, messagepassing, gnn, gcn, gat, edge_index, knn_graph, global_mean_pool)
majiayu000/claude-skill-registry 163