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llm-ai
4

agent-developing-agents

AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .claude/ folders

wahidyankf
wahidyankf
data-ai
open
productivity-tools
4

ai-usage

Check AI CLI usage/quota for Claude Code, OpenAI Codex, Google Gemini CLI, and Z.AI. Use when user asks about remaining quota, usage limits, rate limits, or wants to check how much capacity is left.

cruzanstx
cruzanstx
tools
open
academic
4

websearch-deep

ChatGPT-style deep research strategy with problem decomposition, multi-query generation (3-5 variations per sub-question), evidence synthesis with source ranking, numbered citations, and iterative refinement. Use for complex architecture decisions, multi-domain synthesis, strategic comparisons, technology selection. Keywords: architecture, integration, best practices, strategy, recommendations, comparison.

thomasholknielsen
thomasholknielsen
research
open
llm-ai
4

role-prompting

AIエージェント・システムロール・ペルソナのための役割プロンプト設計スキル。 責務分離、専門家思考様式の適用、効果的なプロンプト構造化の指針を提供する。 Anchors: • The Pragmatic Programmer (Andrew Hunt, David Thomas) / 適用: DRY原則・責務分離 / 目的: ロール設計の品質向上 • Domain-Driven Design (Eric Evans) / 適用: ユビキタス言語・境界づけられたコンテキスト / 目的: 責務境界の明確化 • Thinking, Fast and Slow (Daniel Kahneman) / 適用: 専門家思考様式の理解 / 目的: 適切な思考モード設計 Trigger: Use when designing AI agent roles, system prompts, persona definitions, or separating responsibilities between agents. role prompting, persona design, agent role, system prompt, responsibility separation, ロール設計, ペルソナ

daishiman
daishiman
data-ai
open
llm-ai
4

dspy

Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering

vamseeachanta
vamseeachanta
data-ai
open
productivity-tools
4

gobby-plan

This skill should be used when the user asks to "/gobby-plan", "create plan", "plan feature", "write specification". Guide users through structured specification planning and task creation.

GobbyAI
GobbyAI
tools
open
llm-ai
4

add-provider

Add a new AI provider or model for recipe generation. Use when adding support for a new LLM provider (Anthropic, Google, etc.) or adding models to an existing provider.

iteratetograceness
iteratetograceness
data-ai
open
gaming
4

extension-generator

Claude Codeの拡張機能(スキル、サブエージェント、プロジェクト設定)をユーザーの自然言語指示から自動生成するスキル。「○○を作るスキルを作って」「○○エージェントを作って」「CLAUDE.mdを設定して」などのリクエスト時に使用。v2.1.1以降、スラッシュコマンドとスキルは統合されたため、すべてスキルとして作成。

Sunwood-AI-OSS-Hub
Sunwood-AI-OSS-Hub
development
open
productivity-tools
4

agent-browser

Headless browser automation CLI for AI agents. Use when you need to interact with web pages, fill forms, click buttons, scrape content, take screenshots, or automate any browser-based workflow. Provides snapshot-based element selection optimized for AI agents, session management for parallel browsing, and full Playwright capabilities via CLI.

PunGrumpy
PunGrumpy
tools
open
gaming
4

threejs-scene-builder

Comprehensive Three.js and React Three Fiber skill for creating 3D scenes, characters, NPCs, procedural generation, animation retargeting, and interactive experiences. Use when user asks to "create Three.js scene", "setup React Three Fiber", "add 3D character", "create NPC AI", "procedural 3D generation", "retarget animation", "setup avatar system", or "create 3D game".

Dexploarer
Dexploarer
development
open
llm-ai
4

prompting

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

forest
forest
data-ai
open
llm-ai
4

subagent-batching

Patterns for launching and managing parallel subagents efficiently.

JacobPEvans
JacobPEvans
data-ai
open
llm-ai
4

llamacpp

Complete llama.cpp C/C++ API reference covering model loading, inference, text generation, embeddings, chat, tokenization, sampling, batching, KV cache, LoRA adapters, and state management. Triggers on: llama.cpp questions, LLM inference code, GGUF models, local AI/ML inference, C/C++ LLM integration, "how do I use llama.cpp", API function lookups, implementation questions, troubleshooting llama.cpp issues, and any llama-cpp or ggerganov/llama.cpp mentions.

datathings
datathings
data-ai
open
productivity-tools
4

skill-maker

Create new AI agent skills following the SKILL.md guidelines. Generates complete skill structure including SKILL.md with YAML frontmatter, optional bundled resources (scripts/, references/, assets/), and updates the repository README.md. Validates user input and requests clarification when information is insufficient.

buYoung
buYoung
tools
open
llm-ai
4

prompt-engineering

Designs and optimizes prompts for large language models to achieve better, more consistent outputs. Trigger keywords: prompt, LLM, GPT, Claude, prompt engineering, AI prompts, few-shot, chain of thought.

cosmix
cosmix
data-ai
open
productivity-tools
4

agents

Agent Skill: Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating AI agent documentation, onboarding guides, or standardizing agent patterns. By Netresearch.

netresearch
netresearch
tools
open
llm-ai
4

prompt-testing-evaluation

プロンプトのテスト、評価、反復改善を専門とするスキル。A/Bテスト、評価メトリクス、自動化されたプロンプト品質保証により、本番環境で信頼性の高いプロンプトを実現します。 Anchors: • Test-Driven Development: By Example (Kent Beck) / 適用: Red-Green-Refactorサイクル / 目的: 反復的な品質改善 • LLM-as-a-Judge pattern / 適用: 自動評価とスコアリング / 目的: スケーラブルな品質評価 • A/B Testing for AI Systems / 適用: プロンプト比較実験設計 / 目的: データドリブンな改善 Trigger: Use when testing prompts, evaluating prompt quality, running A/B tests on prompts, implementing automated prompt evaluation, or establishing continuous prompt improvement cycles. Keywords: prompt testing, A/B testing, evaluation metrics, LLM-as-a-judge, prompt quality, automated evaluation, regression testing

daishiman
daishiman
data-ai
open
productivity-tools
4

claude-agent-sdk

Claude Agent SDK(@anthropic-ai/claude-agent-sdk)を使用したエージェント統合の実装を専門とするスキル。 query() API、Hooksシステム、Permission Control、Electron統合、ストリーミング処理を支援します。 Anchors: • Claude Agent SDK Official Docs / 適用: SDK API、Hooks、Permissions / 目的: 公式パターンに準拠した実装 • Electron IPC Best Practices / 適用: Main-Renderer間通信 / 目的: セキュアなプロセス間通信 • TypeScript Handbook / 適用: 型定義、ジェネリクス / 目的: 型安全なSDK統合 Trigger: Claude Agent SDKを使用したエージェント機能実装、query() APIストリーミング処理、Hooksシステム実装、Electron統合、Permission Control設計、MCP統合を行う場合に使用。 claude-agent-sdk, query API, PreToolUse, PostToolUse, PermissionRequest, Electron IPC, MCP, ストリーミング, 権限制御

daishiman
daishiman
tools
open
llm-ai
4

prompt-benchmark

Systematic prompt evaluation framework with MATH, GSM8K, and Game of 24 benchmarks. Use when evaluating prompt effectiveness on standard benchmarks, comparing meta-prompting strategies quantitatively, measuring prompt quality improvements, or validating categorical prompt optimizations against ground truth datasets.

manutej
manutej
data-ai
open
productivity-tools
4

ai-sdk-ui

This skill should be used when the user asks to "add AI chat", "implement streaming UI", "use useChat hook", "add AI completion", "implement useCompletion", "create conversational interface", "add streaming text", "implement tool calling UI", "create generative UI", "add AI-powered features", "implement StreamableUI", or mentions AI SDK, streaming responses, chat interfaces, or AI-generated content in React/Next.js applications.

constellos
constellos
tools
open
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