rsc-data-optimizer
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Account assignment by revenue potential, geography, relationship. Workload balancing, TAM/SAM calculation, coverage models.
sms-text-optimizer
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Condense messages to 160 characters without losing meaning. Remove unnecessary words while keeping tone.
Professional narrative style with line breaks, hashtag strategy, and hooks in first 2 lines to avoid truncation
Analyze matchups, injuries, weather, Vegas lines. Recommend sit/start decisions with confidence levels for NFL, NBA, MLB, NHL, soccer.
Use Laravel-specific vocabulary—Eloquent patterns, Form Requests, API resources, jobs/queues—to get idiomatic framework code
create-mcp-servers
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Create Model Context Protocol (MCP) servers that expose tools, resources, and prompts to Claude. Use when building custom integrations, APIs, data sources, or any server that Claude should...
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anthropic-architect
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Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
anthropic-architect
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Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.
building-with-llms
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Produce an LLM Build Pack (prompt+tool contract, data/eval plan, architecture+safety, launch checklist). Use for building with LLMs, GPT/Claude apps, prompt engineering, RAG, and tool-using agents.
dspy-rb
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Build type-safe LLM applications with DSPy.rb - Ruby's programmatic prompt framework with signatures, modules, agents, and optimization
dspy
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Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
dspy
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Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
dspy
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Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
This skill should be used when developing, optimizing, testing, or submitting algorithms for The Innovation Game challenges (3-SAT, CVRP, Knapsack). Use it for algorithm development, performance...
performance-monitor
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Expert in observing, benchmarking, and optimizing AI agents. Specializes in token usage tracking, latency analysis, and quality evaluation metrics. Use when optimizing agent costs, measuring...
agent-patterns
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Modular orchestration of agent patterns from Anthropic's engineering guide. Intelligently selects and implements prompt chaining, routing, parallelization, orchestrator-workers,...
Expert skill for integrating cloud AI APIs (Claude, GPT-4, Gemini). Covers secure API key management, prompt injection prevention, rate limiting, cost optimization, and protection against data...
润色中文技术博客，去除冗余表达，提升专业性和逻辑性，消除"AI味"，确保代码规范。