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,…
Skills in this repository
majiayu000/claude-skill-registry - Page 24
SkillsMP has collected 5,417 skills from majiayu000/claude-skill-registry. Open a skill to review its source and details.
majiayu000/claude-skill-registryShowing 40 of 5,417 collected skills.
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.
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".
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>.
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…
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…
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…
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
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.
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.
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.
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.
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.
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.
Skill for configuring AI integrations in Orchard Core. Covers AI service registration, MCP enablement, prompt configuration, and agent framework integration.
Skill for configuring CrestApps MCP client connections in Orchard Core. Covers SSE and Stdio transports, authentication, recipes, and assigning MCP connections to AI experiences.
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…
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.
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…
Skill for configuring AI integrations in Orchard Core. Covers AI service registration, MCP enablement, prompt configuration, and agent framework integration.
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.
Analyze images with AI - extract text, describe content, detect objects
Web research API with OpenAI-compatible chat completions and async tasks
Perplexity AI search and chat completions with real-time web data
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
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…
Automatically choose the best output style (tables, bullets, YAML, HTML, concise) to improve scanability and save tokens
Understanding output styles in Claude Code (deprecated feature). Use when user asks about customizing Claude's behavior, output styles, or explanatory/learning modes.
Conversational data analysis using natural language queries on DataFrames. Chat with your data using LLMs to generate insights, create visualizations, and explain code.
Generate diagnostic koans to test reasoning boundaries and edge cases.
Self-improving pattern database. Analyzes successful assets (≥95/100) → extracts effective prompt language → abstracts reusable patterns → updates library automatically.
View latest reply from AI provider (gemini/codex/opencode/droid/claude).
SEC EDGAR filings search. Use for official regulatory documents.
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.
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.…
Build and run evaluators for AI/LLM applications using Phoenix.
Open-source AI observability platform for tracing, evaluating, and improving LLM applications with OpenTelemetry integration
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…
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…
Use when optimizing prompts, skill descriptions, or agent instructions for clarity, specificity, and behavioral effectiveness.