mcp-resources-guide
Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming
mcp-prompts-guide
Create powerful MCP prompts that guide AI interactions with templates, arguments, and context injection
mcp-server-best-practices
Production-ready patterns and best practices for MCP servers - architecture, security, performance, and maintenance
let-chains-advisor
Identifies deeply nested if-let expressions and suggests let chains for cleaner control flow. Activates when users write nested conditionals with pattern matching.
lambda-optimization-advisor
Reviews AWS Lambda functions for performance, memory configuration, and cost optimization. Activates when users write Lambda handlers or discuss Lambda performance.
hexagonal-advisor
Reviews code architecture for hexagonal patterns, checks dependency directions, and suggests improvements for ports and adapters separation. Activates when users work with services, repositories, or architectural patterns.
error-handler-advisor
Proactively reviews error handling patterns and suggests improvements using Result types, proper error propagation, and idiomatic patterns. Activates when users write error handling code or use unwrap/expect.
error-conversion-guide
Guides users on error conversion patterns, From trait implementations, and the ? operator. Activates when users need to convert between error types or handle multiple error types in a function.
domain-layer-expert
Guides users in creating rich domain models with behavior, value objects, and domain logic. Activates when users define domain entities, business rules, or validation logic.
datafusion-query-advisor
Reviews SQL queries and DataFrame operations for optimization opportunities including predicate pushdown, partition pruning, column projection, and join ordering. Activates when users write DataFusion queries or experience slow query performance.
data-lake-architect
Provides architectural guidance for data lake design including partitioning strategies, storage layout, schema design, and lakehouse patterns. Activates when users discuss data lake architecture, partitioning, or large-scale data organization.
cold-start-optimizer
Provides guidance on reducing Lambda cold start times through binary optimization, lazy initialization, and deployment strategies. Activates when users discuss cold starts or deployment configuration.
browser-automation
Enterprise-grade browser automation using WebDriver protocol. Use when the user needs to automate web browsers, perform web scraping, test web applications, fill forms, take screenshots, monitor performance, or execute multi-step browser workflows. Supports Chrome, Firefox, and Edge with connection pooling and health management.
async-sync-advisor
Guides users on choosing between async and sync patterns for Lambda functions, including when to use tokio, rayon, and spawn_blocking. Activates when users write Lambda handlers with mixed workloads.
async-patterns-guide
Guides users on modern async patterns including native async fn in traits, async closures, and avoiding async-trait when possible. Activates when users work with async code.
marketplace-release
Use when creating releases for Claude Code plugin marketplaces. Supports independent plugin versioning - each plugin can be released separately. Triggered by "release", "bump version", "create release", "publish plugin".
markdown-toc
Use when generating or updating Table of Contents in markdown files. Supports multiple files, glob patterns, configurable header levels, and various insertion modes. Triggered by "generate toc", "update toc", "table of contents", "add toc to markdown".
github-elements-tracking
This skill should be used when the user asks to "track work across sessions", "create an epic", "manage issue waves", "post a checkpoint", "claim an issue", "recover from compaction", "coordinate multiple agents", "update memory bank", "store large documents", or mentions GitHub Issues as persistent memory, multi-session work, context survival, agent collaboration, SERENA MCP memory, or project-level context. Provides complete protocols for using GitHub Issues as permanent memory that survives context exhaustion, with integrated SERENA MCP memory bank for project-level context and large document storage.
ghe-transition
Change phases in the GitHub Elements workflow by closing current thread and opening the next. Use for DEV→TEST, TEST→REVIEW, REVIEW→merge transitions, or demotions. Do not use for saving progress.
ghe-thread-manager
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ghe-status
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ghe-requirements
This skill should be used when creating, updating, linking, or versioning requirements for GitHub Elements threads. Use when user mentions requirements, specs, REQ files, or when starting feature development. Provides the requirements folder structure, versioning system, and SERENA backup protocols.
ast-grep
语法感知的代码搜索、linting 和重写工具。支持基于 AST 的结构化代码搜索和批量代码转换。
ai-runtime-toolkit
AI Runtime工具装备系统，支持8个内部专业工具和10+个外部CLI工具的整合管理，提供工具发现、执行和配置功能，遵循整合优于创造的设计理念
ai-runtime-memory
AI Runtime分层记忆系统，支持SQL风格的事件查询、时间线管理，以及记忆的智能固化和检索，用于项目历史追踪和经验传承
htmx-skill
Documentation for the htmx JavaScript library (attributes, events, headers, API, extensions, examples, migration guides, server examples). Use when you need accurate htmx syntax/behavior or to locate the right reference page for an htmx question.
youtube-transcript
Download and process YouTube video transcripts using yt-dlp. Use this when extracting subtitles, creating summaries from videos, or processing video content.
virtual-environment
Check and create virtual environments for projects that need them. Use when starting Python/Node projects, or when dependency isolation is needed. Activates for Python, Node.js, and similar ecosystems.
triforce-sync-check
Verify 3-Mirror skill sync consistency across .public/skills, .codex/skills, and .claude/skills. Use after skill changes, before commits, or for CI validation.
skill-management
Create, update, test, and manage Agent Skills. Use when creating new skills, debugging existing ones, or organizing skill libraries. Based on official Claude Code documentation.
safe-edit
Automatically backs up files, saves diffs, uses agents/skills, and ensures modular code (<200 lines) before any implementation. Use this skill for ALL code changes to ensure safe, reversible, and clean implementations.
report-writing
작업 완료 후 상세 리포트 문서를 작성. 변경 이력, 영향도 분석, 검증 결과를 문서화할 때 사용. 파일명 규칙 YYYY-MM-DD-<제목>-report.md
readme-for-developers
Write developer-oriented README as onboarding documentation. Use when creating/updating README, setting up new projects, or when new developers need to understand the codebase quickly. README = Entry point + Architecture overview + Working agreement.
prompt-engineering
Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.
project-structure
Organize project folders following industry best practices. Use when setting up new projects, reorganizing codebases, or when folder structure becomes messy. Covers Next.js, Bulletproof React, and FSD patterns.
planning
Transform ideas into actionable implementation plans. Combines Socratic questioning for requirements discovery with detailed task breakdown for zero-context engineers. Use before any feature development.
performance-vitals
Enforce Core Web Vitals optimization. Use when building user-facing features, reviewing performance, or when Lighthouse scores drop. Covers LCP, FID/INP, CLS, and optimization techniques.
no-hardcoding
Forbid hardcoded values in code. Use this when reviewing code, writing new features, or when magic numbers/strings are detected. Enforces constants, env variables, and config files.
ml-antipattern-validator
Prevents 30+ critical AI/ML mistakes including data leakage, evaluation errors, training pitfalls, and deployment issues. Use when working with ML training, testing, model evaluation, or deployment.
line-limit
Enforce file line count limits (200 recommended, 300 max) for CODE IMPLEMENTATION files only. Use this when reviewing code, creating files, or when files exceed line limits and need modularization.
dependency-security
Enforce dependency security scanning and SBOM generation. Use when adding dependencies, reviewing package.json, or during security audits. Covers OWASP dependency check, npm audit, and supply chain security.
d3-viz
Create interactive data visualizations using D3.js. Use this when creating charts, graphs, network diagrams, geographic visualizations, or custom SVG-based data visualization.
ci-pipeline-setup
Set up CI/CD pipelines with GitHub Actions. Use when creating new projects, adding automation, or when manual verification becomes bottleneck. Covers lint, test, build, deploy automation.
api-contract-design
Design APIs using schema-first approach with OpenAPI/Swagger. Use when creating new APIs, documenting existing ones, or when frontend/backend teams need to work in parallel. Covers OpenAPI spec, validation, and code generation.
adr-log
Document architecture decisions with ADR (Architecture Decision Records). Use when making significant technical decisions, choosing between alternatives, or when onboarding needs context on past decisions.
accessibility-wcag
Enforce WCAG 2.2 accessibility standards. Use when creating UI components, reviewing frontend code, or when accessibility issues are detected. Covers semantic HTML, ARIA, keyboard navigation, and color contrast.
tool-interface-analysis
Analyze tool registration, schema generation, and error feedback mechanisms in agent frameworks. Use when (1) understanding how tools are defined and registered, (2) evaluating schema generation approaches (introspection vs manual), (3) tracing error feedback loops to the LLM, (4) assessing retry and self-correction mechanisms, or (5) comparing tool interfaces across frameworks.
resilience-analysis
Assess error handling, isolation boundaries, and recovery mechanisms in agent frameworks. Use when (1) tracing error propagation paths, (2) evaluating sandboxing for code execution, (3) understanding retry and fallback mechanisms, (4) assessing production readiness, or (5) identifying failure modes and recovery patterns.
multi-agent-analysis
Analyze coordination patterns, handoff mechanisms, and state sharing in multi-agent systems. Use when (1) understanding how agents transfer control, (2) evaluating shared vs isolated state patterns, (3) mapping communication protocols between agents, (4) assessing multi-agent orchestration approaches, or (5) comparing coordination models across frameworks.
memory-orchestration
Analyze context management, memory systems, and state continuity in agent frameworks. Use when (1) understanding how prompts are assembled, (2) evaluating eviction policies for context overflow, (3) mapping memory tiers (short-term/long-term), (4) analyzing token budget management, or (5) comparing context strategies across frameworks.
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