majiayu000/claude-skill-registry - 121ページ

alma-scraper

Intelligent scraper for Australian youth justice sources. Discovers, extracts, and learns from government, Indigenous, research, and media sources.

原文の言語: 英語

abramov-state-composition

Write JavaScript code in the style of Dan Abramov, co-creator of Redux and React core team member. Emphasizes predictable state management, composition over inheritance, and developer experience. Use when building React applications or managing complex state.

原文の言語: 英語

accessibility-patterns

Build inclusive web experiences following WCAG guidelines. Covers semantic HTML, ARIA, keyboard navigation, color contrast, and testing strategies. Triggers on accessibility, a11y, WCAG, screen readers, or inclusive design requests.

原文の言語: 英語

adapter-development

Comprehensive guide for AIDB debug adapter development. Covers component-based architecture, language-specific patterns (Python/debugpy, JavaScript/vscode-js-debug, Java/java-debug), lifecycle hooks, process management, port management, launch orchestration,…

原文の言語: 英語

adb

Manipulates Android devices via ADB with emphasis on Wear OS. Provides scripts for screenshots, screen recording, tile management, WearableService inspection, package operations, and device configuration. Use when working with adb, Android devices, Wear OS…

原文の言語: 英語

add-deferred-debt

Add deferred technical debt items identified during PR review

原文の言語: 英語

add-manual-debt

Manually add a technical debt item to MASTER_DEBT.jsonl

原文の言語: 英語

add-unit-tests

Guide for adding unit tests to AReaL. Use when user wants to add tests for new functionality or increase test coverage.

原文の言語: 英語

add-workflow

Guide for adding a new RolloutWorkflow to AReaL. Use when user wants to create a new workflow.

原文の言語: 英語

adding-milestones

Use this skill when adding a milestone to an existing project, starting a new milestone cycle, creating the first milestone after project init, or defining what's next after completing work. Triggers include "add milestone", "new milestone", "start…

原文の言語: 英語

adding-models

Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.

原文の言語: 英語

adding-phases

Use this skill to add planned work discovered during execution to the end of the current milestone in the roadmap. This skill appends sequential phases to the current milestone's phase list, automatically calculating the next phase number. Triggers include…

原文の言語: 英語

adding-todos

Use this skill to capture an idea, task, or issue that surfaces during a Kata session as a structured todo for later work. This skill creates markdown todo files in the .planning/todos/pending directory with relevant metadata and content extracted from the…

原文の言語: 英語

agent-swarm-orchestrator

Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.

原文の言語: 英語

agentdb-performance-optimization

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

原文の言語: 英語

agentdevcoder

Use this skill in the scenario of intelligent agent application development.

原文の言語: 中国語

agentic-architecture

Enforces high-level architectural thinking, separation of concerns, and scalability checks before coding.

原文の言語: 英語

agentic-architecture

Enforces high-level architectural thinking, separation of concerns, and scalability checks before coding.

原文の言語: 英語

agentic-feature-design

Designing features for the "Action Era" that are AI-accessible by default

原文の言語: 英語

agentic-orchestrating

Provides the "how-to" for workflow / task execution orchestration. Defines methods for planning multi-phase task/workflows, implementing them through agent delegation, and managing artifacts.

原文の言語: 英語

agentic-quality-engineering

AI agents as force multipliers for quality work. Core skill for all 19 QE agents using PACT principles.

原文の言語: 英語

agentstack-server-debugging

Instructions for debugging agentstack-server during development

原文の言語: 英語

agentuity-cli-cloud-deployment-undeploy

Undeploy the latest deployment. Requires authentication. Use for Agentuity cloud platform operations

原文の言語: 英語

agentuity-cli-cloud-env-pull

Pull environment variables from cloud to local .env.production file. Requires authentication. Use for Agentuity cloud platform operations

原文の言語: 英語

agentuity-cli-cloud-session-list

List recent sessions. Requires authentication. Use for Agentuity cloud platform operations

原文の言語: 英語

agentuity-cli-cloud-storage-create

Create a new storage resource. Requires authentication. Use for Agentuity cloud platform operations

原文の言語: 英語

agentuity-cli-cloud-stream-list

List recent streams with optional filtering. Requires authentication. Use for Agentuity cloud platform operations

原文の言語: 英語

agentuity-cli-project-create

Create a new project. Use for project management operations

原文の言語: 英語

agentv-eval-builder

Create and maintain AgentV YAML evaluation files for testing AI agent performance. Use this skill when creating new eval files, adding eval cases, or configuring custom evaluators (code validators or LLM judges) for agent testing workflows.

原文の言語: 英語

aggregating-event-datasets

Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_by for grouping, aggregation functions (count,…

原文の言語: 英語

aggregating-gauge-metrics

Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pattern, summary vs time-series output, and common…

原文の言語: 英語

ai-agents

Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)

原文の言語: 英語

ai-analysis

Command-line tools that delegate analysis tasks to AI models. Includes image description, screenshot comparison, essay generation from text, and boolean condition evaluation. Use for describing images, comparing UI states, generating reports, evaluating…

原文の言語: 英語

ai-anti-patterns

This skill should be used when reviewing AI-generated text, checking for AI writing patterns, detecting undisclosed AI content, or before finalizing any written content. Covers 12 categories of AI writing indicators from Wikipedia's comprehensive guide.

原文の言語: 英語

ai-app

Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications. Triggers: chatbot, chat app, agent dashboard, AI application, Next.js AI, useChat, streamText, ai-elements,…

原文の言語: 英語

ai-assisted-development

Leveraging AI coding assistants and tools to boost development productivity, while maintaining oversight to ensure quality results.

原文の言語: 英語

ai-check

Detect AI/LLM-generated text patterns in research writing. Use when: (1) Reviewing manuscript drafts before submission, (2) Pre-commit validation of documentation, (3) Quality assurance checks on research artifacts, (4) Ensuring natural academic writing…

原文の言語: 英語

ai-cli

Canonical Claude Code authoring kit covering Skills, sub-agents, plugins, slash commands, hooks, memory, settings, sandboxing, headless mode, and advanced agent patterns. Use when creating Claude Code extensions or configuring Claude Code features.

原文の言語: 英語

ai-code-generator

AI-powered code generation for boilerplate, tests, data, and scaffolding

原文の言語: 英語

ai-code-reviewer

WHEN: Deep AI-powered code analysis, multi-model code review, security scanning with Codex and Gemini WHAT: Comprehensive code review using external AI models with severity-based findings, deduplication, and secret detection WHEN NOT: Simple lint checks ->…

原文の言語: 英語