Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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wordpress-advanced-architecture
Advanced WordPress development with REST API endpoints, WP-CLI commands, performance optimization, and caching strategies for scalable applications.
majiayu000/claude-skill-registry 163
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xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
majiayu000/claude-skill-registry 163
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uniapp-native-plugin
A comprehensive skill for developing native plugins for uni-app. Use this skill when building Android/iOS native plugins, integrating native capabilities, or publishing plugins based on official native plugin docs.
majiayu000/claude-skill-registry 163
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batch-processing
Collect-then-batch pattern for database operations achieving 30-40% throughput improvement. Includes graceful fallback to sequential processing when batch operations fail.
majiayu000/claude-skill-registry 163
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backend-error-handling-sofia-asif-taskflow-todo-app
majiayu000/claude-skill-registry 163
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product-showcase
Genera demos visuales y contenido LinkedIn con metodo PAR para productos tech.
Usar cuando tienes MVP listo para mostrar al mundo.
majiayu000/claude-skill-registry 163
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architectural-patterns-large-react
Establish scalable architecture using modular boundaries, domain-driven design, and consistent data access patterns.
majiayu000/claude-skill-registry 163
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escalation
Use to define incident tiers, response protocols, and stakeholder communications.
majiayu000/claude-skill-registry 163
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mongodb-expert
Expert-level MongoDB database design, aggregation pipelines, indexing, replication, and production operations
majiayu000/claude-skill-registry 163
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requirement-review
Conducts comprehensive requirements review including completeness validation, clarity assessment, consistency checking, testability evaluation, and standards compliance. Produces detailed review reports with findings, gaps, conflicts, and improvement recommendations. Use when reviewing requirements documents (BRD, SRS, user stories), validating acceptance criteria, assessing requirements quality, identifying gaps and conflicts, or ensuring standards compliance (IEEE 830, INVEST criteria). Trigger when users mention "review requirements", "validate requirements", "check requirements quality", "find requirement issues", or "assess BRD/SRS quality".
majiayu000/claude-skill-registry 163
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langgraph-multiagent
Architect-level development, audit, and migration of multi-agent systems using LangGraph (v1+) and LangChain (v1+). Use when building or refactoring supervisor/subagent architectures, orchestrator-worker workflows, routing/hand-offs, agentic RAG, memory (short + long-term), state + context engineering, guardrails + human-in-the-loop, MCP tool integration, observability (LangSmith/OpenTelemetry), deployment, and performance/cost optimization — or when migrating off deprecated patterns like `langgraph.prebuilt.create_react_agent` and libraries like `langgraph-supervisor(-py)`, LlamaIndex agents, CrewAI, Agno, or OpenAI Agents.
majiayu000/claude-skill-registry 163
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ui-designer
Use when user needs visual UI design, interface creation, component systems, design systems, interaction patterns, or accessibility-focused user interfaces.
majiayu000/claude-skill-registry 163
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deal-desk
Use to manage pricing, packaging, and approval workflows for renewal negotiations.
majiayu000/claude-skill-registry 163
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graphql-subscription-setup
Configure graphql subscription setup operations. Auto-activating skill for API Development.
Triggers on: graphql subscription setup, graphql subscription setup
Part of the API Development skill category. Use when working with graphql subscription setup functionality. Trigger with phrases like "graphql subscription setup", "graphql setup", "graphql".
majiayu000/claude-skill-registry 163
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moai-alfred-issue-labels
Enterprise GitHub issue labeling orchestrator with semantic label taxonomy, AI-powered auto-labeling, label hierarchy system, workflow automation, issue triage acceleration, and stakeholder communication; activates for issue classification, label management, workflow automation, priority assignment, and team communication
majiayu000/claude-skill-registry 163
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API Server
Standards for building HTTP services, REST APIs, and middleware in Golang.
majiayu000/claude-skill-registry 163
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instruction-design-and-validation
Design Solana/Anchor instructions with clear inputs, constraints, authority checks, and invariants. Use when defining or reviewing instruction APIs.
majiayu000/claude-skill-registry 163
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verify-debug-mode
Confirm a requested feature change via AERA Debug mode (Debug view, console, logs). Use when validation must happen through Debug UI or when you need to add debug-only probes/commands to make a change observable.
majiayu000/claude-skill-registry 163
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learned-docs
This skill should be used when writing, modifying, or reorganizing documentation in docs/learned/. Use when creating new documents, updating frontmatter, choosing categories, creating index files, updating routing tables, or moving files between categories. Essential for maintaining consistent documentation structure.
majiayu000/claude-skill-registry 163
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gget
CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.
majiayu000/claude-skill-registry 163
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moai-core-dev-guide
majiayu000/claude-skill-registry 163
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unsloth-stt
majiayu000/claude-skill-registry 163
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learn-about-omc
Analyze your OMC usage patterns and get personalized recommendations
majiayu000/claude-skill-registry 163
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rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
majiayu000/claude-skill-registry 163