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SkillsMP は majiayu000/claude-skill-registry から 5,417 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
majiayu000/claude-skill-registry収集済み skill 5,417 件中 40 件を表示しています。
Iteratively optimizes prompts for token efficiency by maximizing information density - reduces verbosity, removes redundancy, tightens phrasing while preserving semantic content. Use when asked to compress, shorten, reduce tokens, tighten, maximize density,…
原文の言語: 英語
Use when CLAUDE.md is bloated or ineffective. Use when Claude ignores instructions, file exceeds 150 lines, response formatting rules aren't working, or user asks to optimize/restructure their Claude Code configuration.
原文の言語: 英語
Use when instruction files (skills, prompts, CLAUDE.md) are too long or need token reduction while preserving capability. Triggers: "optimize instructions", "reduce tokens", "compress skill", "make this shorter", "too verbose".
原文の言語: 英語
GPT-5 Pro second opinion. Use when user says "consult the oracle", "ask the oracle", "oracle this". Run DETACHED with nohup bash -lc 'oracle ...' & (45min-1hr+ runtime). Check with oracle status, get result with oracle session <slug>.
原文の言語: 英語
This skill should be used when the user asks to "use Codex", "ask Codex", "consult Codex", "use GPT for planning", "ask GPT to review", "get GPT's opinion", "what does GPT think", "second opinion on code", "consult the oracle", "ask the oracle", or mentions…
原文の言語: 英語
This skill should be used when the user asks to "use Codex", "ask Codex", "consult Codex", "Codex review", "use GPT for planning", "ask GPT to review", "get GPT's opinion", "what does GPT think", "second opinion on code", "consult the oracle", "ask the…
原文の言語: 英語
This skill should be used when the user asks to "use Gemini", "ask Gemini", "consult Gemini", "Gemini review", "use Gemini for planning", "ask Gemini to review", "get Gemini's opinion", "what does Gemini think", "second opinion from Gemini", mentions using…
原文の言語: 英語
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
原文の言語: 英語
Skill for configuring the CrestApps A2A Client feature in Orchard Core. Covers adding remote A2A hosts, authentication, assigning agent connections, and how remote agents become tools.
原文の言語: 英語
Skill for configuring the CrestApps A2A Host feature in Orchard Core. Covers exposing Agent AI Profiles as A2A agents, host authentication, agent cards, endpoints, and host settings.
原文の言語: 英語
Skill for configuring AI Chat in Orchard Core using the CrestApps AI Chat module. Covers chat profiles, admin chat UI, frontend chat widgets, provider connections, and the AI Agent module for task automation.
原文の言語: 英語
Skill for configuring AI Chat Interactions in Orchard Core using the CrestApps module. Covers ad-hoc chat sessions, prompt routing with intent detection, document upload with RAG support, image and chart generation, and custom processing strategies.
原文の言語: 英語
Skill for configuring AI Chat Interactions in Orchard Core using the CrestApps module. Covers ad-hoc chat sessions, prompt routing with intent detection, document upload with RAG support, image and chart generation, and custom processing strategies.
原文の言語: 英語
Skill for configuring AI Chat in Orchard Core using the CrestApps AI Chat module. Covers chat profiles, admin chat UI, frontend chat widgets, provider connections, and the AI Agent module for task automation.
原文の言語: 英語
Skill for configuring AI integrations in Orchard Core. Covers AI service registration, MCP enablement, prompt configuration, and agent framework integration.
原文の言語: 英語
Skill for configuring CrestApps MCP client connections in Orchard Core. Covers SSE and Stdio transports, authentication, recipes, and assigning MCP connections to AI experiences.
原文の言語: 英語
Skill for configuring Model Context Protocol (MCP) in Orchard Core using the CrestApps MCP module. Covers MCP client connections (SSE and Stdio transports), MCP server setup to expose Orchard Core as an MCP endpoint, MCP resources, authentication, and custom…
原文の言語: 英語
Skill for configuring the CrestApps MCP Server feature in Orchard Core. Covers server authentication, exposing tools, adding MCP prompts and resources through the UI, and custom MCP resource types.
原文の言語: 英語
Skill for implementing custom Chat Response Handlers in Orchard Core. Covers IChatResponseHandler, deferred and streaming handlers, webhook endpoints, live agent handoff, mid-conversation transfer via AI functions, UI notifications, protocol-agnostic relay…
原文の言語: 英語
Skill for configuring AI integrations in Orchard Core. Covers AI service registration, MCP enablement, prompt configuration, and agent framework integration.
原文の言語: 英語
Skill for creating and managing AI Templates in Orchard Core. Covers template creation via admin UI, markdown files, recipes, deployment steps, template sources (SystemMessage, Profile), and applying templates when creating AI Profiles.
原文の言語: 英語
Analyze images with AI - extract text, describe content, detect objects
原文の言語: 英語
Web research API with OpenAI-compatible chat completions and async tasks
原文の言語: 英語
Perplexity AI search and chat completions with real-time web data
原文の言語: 英語
Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
原文の言語: 英語
Creates structured output formats (JSON/YAML/Markdown-KV/XML) and response style scope configurations via accuracy-token tradeoff analysis. Use when defining agent schemas, building CLAUDE.md output sections, configuring hierarchy overrides, or standardizing…
原文の言語: 英語
Automatically choose the best output style (tables, bullets, YAML, HTML, concise) to improve scanability and save tokens
原文の言語: 英語
Understanding output styles in Claude Code (deprecated feature). Use when user asks about customizing Claude's behavior, output styles, or explanatory/learning modes.
原文の言語: 英語
Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.
原文の言語: 英語
Generate diagnostic koans to test reasoning boundaries and edge cases.
原文の言語: 英語
Self-improving pattern database. Analyzes successful assets (≥95/100) → extracts effective prompt language → abstracts reusable patterns → updates library automatically.
原文の言語: 英語
View latest reply from AI provider (gemini/codex/opencode/droid/claude).
原文の言語: 英語
SEC EDGAR filings search. Use for official regulatory documents.
原文の言語: 英語
Queries Perplexity AI via sonar/sonar-pro/sonar-deep-research/sonar-reasoning-pro models. Use when conducting cited web research, deep technical reports, or complex reasoning problems requiring up-to-date sources.
原文の言語: 英語
Leverage Perplexity CLI for web research, deep reasoning, and independent validation. Use when you need current/external knowledge, want a second opinion before decisions, or want to delegate complex analytical thinking to specialized reasoning models.…
原文の言語: 英語
Build and run evaluators for AI/LLM applications using Phoenix.
原文の言語: 英語
Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration
原文の言語: 英語
Use when you need to manage project embeddings - embed skills, agents, commands, and MCP tools for semantic discovery. Handles rate limiting, incremental updates, and status reporting. Do NOT use if you just want to search for content - use the semantic…
原文の言語: 英語
Queries cached external documentation and blog content for authoritative, up-to-date information. Sources include Claude Code docs, engineering blog, and configured knowledge bases with 24-hour TTL caching. Use when you need current information about Claude…
原文の言語: 英語
Use when optimizing prompts, skill descriptions, or agent instructions for clarity, specificity, and behavioral effectiveness.
原文の言語: 英語