Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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ui-density
Analyze and improve UI density using Matt Ström's 4-dimensional framework. Use when interfaces feel too sparse, too cluttered, or when users complain about efficiency.
majiayu000/claude-skill-registry 163
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integrate-playground
Systematic workflow and API reference for integrating Streamlit playground with vrp-toolkit modules. Use when developing playground features, connecting UI to vrp-toolkit APIs, or encountering API signature mismatches. Provides interface mapping table, contract test integration, and troubleshooting guide to avoid token-intensive source code exploration.
majiayu000/claude-skill-registry 163
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implementing-service-layer
Defines a pattern for abstracting Appwrite database calls into dedicated service files. Use to keep components clean and reusable.
majiayu000/claude-skill-registry 163
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context-restore
Use when you need to fully restore working context from a previous session - loads STATUS.json, reads key files, rebuilds mental model of current work state. Do NOT use for quick questions or when starting fresh unrelated work - the full context restoration adds overhead that isn't needed for standalone tasks.
majiayu000/claude-skill-registry 163
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Accounts Reconciler
Automate account reconciliation by matching transactions, identifying discrepancies, and generating variance reports
majiayu000/claude-skill-registry 163
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vasp
Expert assistant for VASP (Vienna Ab initio Simulation Package) calculations - input file generation, parameter selection, workflow setup, and best practices for accurate DFT calculations
majiayu000/claude-skill-registry 163
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strongs-doctor
Expert assistant for diagnosing and fixing Strong's concordance issues in the Raamattu Nyt project. Use when (1) debugging infinite loops or performance issues with Strong's lookups, (2) validating lexicon data against authoritative sources, (3) checking KJV verses point to correct Strong's numbers, (4) fixing corrupted kjv_strongs_words data, (5) auditing strongs_lexicon entries for format/content issues, or (6) troubleshooting Strong's search functionality. Triggers: strongs issue, lexicon error, infinite loop strongs, strongs validation, kjv strongs, fix strongs, lexicon fix.
majiayu000/claude-skill-registry 163
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brownfield-analyzer
Analyzes existing brownfield projects to map documentation structure to SpecWeave's PRD/HLD/Spec/Runbook pattern. Scans folders, classifies documents, detects external tools (Jira, ADO, GitHub), and creates project context map for just-in-time migration. Activates for brownfield, existing project, migrate, analyze structure, legacy documentation.
majiayu000/claude-skill-registry 163
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plot-points-analyzer
Analyze story plot points, identify key plots and turning points. Suitable for deep analysis of plot structure, evaluating plot development effectiveness
majiayu000/claude-skill-registry 163
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gh-implement-issue
End-to-end implementation workflow for a GitHub issue from planning through PR creation. Use when starting work on an issue from scratch.
majiayu000/claude-skill-registry 163
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cfn-skill-management
Skill loading, propagation, and building for CFN. Use when dynamically discovering and loading skills, deploying skills across environments, or creating new skill scaffolding.
majiayu000/claude-skill-registry 163
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local-ci
remote CI (GitHub Actions) 相当のチェックをローカルで実行。Biome check、テスト、ビルドを並列実行し、全てのチェックが成功したことを確認する。PR作成前の事前チェックに使用。
majiayu000/claude-skill-registry 163
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pattern-debug
Debug pattern errors systematically
majiayu000/claude-skill-registry 163
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d3-viz
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
majiayu000/claude-skill-registry 163
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PlantCapability
MNMUK machine shop capability checker. Answers "can we make this?" queries against the plant list.
Recommends optimal machine selection based on part requirements.
USE WHEN user asks 'can we make', 'which machine', 'capability check', 'feasibility',
'what can we hold', 'tolerance capability', or describes a part to quote.
majiayu000/claude-skill-registry 163
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ocr-service
高精度光学字符识别（OCR）服务。支持多语言、多格式图像的文字检测与提取，并提供文本区域坐标与置信度评分，适用于文档数字化与图像内容分析。
majiayu000/claude-skill-registry 163
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HTML Injection Testing
This skill should be used when the user asks to "test for HTML injection", "inject HTML into web pages", "perform HTML injection attacks", "deface web applications", or "test content injection vulnerabilities". It provides comprehensive HTML injection attack techniques and testing methodologies.
majiayu000/claude-skill-registry 163
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ui-review-tahoe
Comprehensive UI/UX review for macOS Tahoe apps. Covers Liquid Glass design, HIG compliance, SwiftUI patterns, and accessibility. Use when reviewing macOS UI or checking HIG compliance.
majiayu000/claude-skill-registry 163
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speckit-checklist
Generate a custom checklist for the current feature based on user requirements.
majiayu000/claude-skill-registry 163
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pymoo
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
majiayu000/claude-skill-registry 163
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project-management-specialist
提供项目管理、任务跟踪、团队协调和项目交付能力。当需要管理项目、跟踪进度或协调团队时使用。
majiayu000/claude-skill-registry 163
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lang-go-dev
Foundational Go patterns covering types, interfaces, goroutines, channels, and common idioms. Use when writing Go code, understanding Go's concurrency model, or needing guidance on which specialized Go skill to use. This is the entry point for Go development.
majiayu000/claude-skill-registry 163
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senior-ml-engineer
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
majiayu000/claude-skill-registry 163
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compose-patterns-2025
Docker Compose production patterns 2025 including multi-environment strategies, health checks, and modern compose features
majiayu000/claude-skill-registry 163