GitHub
mcp-builder
Comprehensive guide for building Model Context Protocol (MCP) servers with support for tools, resources, prompts, and authentication. Use when: (1) Creating custom MCP servers, (2) Integrating external APIs wit...
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生活与效率 AI 技能
发现 生活与效率 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
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GitHub
stop-slop
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.
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GitHub
kiro-research
Research AWS topics using Kiro CLI as an AWS expert (readonly mode). Use for: AWS documentation, error investigation, CloudFormation/CDK questions, AWS best practices. Note: Uses Kiro's training knowledge only...
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GitHub
interactive-planner
Use Claude Code's interactive question tool to gather comprehensive requirements through structured multi-select questions
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GitHub
parallel-swarm-implementation
Loop 2 of the Three-Loop Integrated Development System. META-SKILL that dynamically compiles Loop 1 plans into agent+skill execution graphs. Queen Coordinator selects optimal agents from 86-agent registry and a...
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GitHub
when-creating-presentations-use-pptx-generation
Enterprise-grade PowerPoint deck generation using evidence-based prompting, workflow enforcement, constraint-based design
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GitHub
when-optimizing-prompts-use-prompt-optimization-analyzer
Active diagnostic tool for analyzing prompt quality, detecting anti-patterns, identifying token waste, and providing optimization recommendations
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GitHub
prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems. Use when creating prompts for Claude, ChatGPT, or other language models, improving existing prompts, or applying evidence-ba...
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GitHub
agent-creator
Creates specialized AI agents with optimized system prompts using the official 4-phase SOP methodology from Desktop .claude-flow, combined with evidence-based prompting techniques and Claude Agent SDK implement...
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GitHub
when-analyzing-performance-use-performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
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GitHub
when-reviewing-code-comprehensively-use-code-review-assistant
Comprehensive PR review with multi-agent swarm specialization for security, performance, style, tests, and documentation
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GitHub
when-developing-ml-models-use-ml-expert
Specialized ML model development, training, and deployment workflow
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GitHub
codex-research
Research topics or review code using OpenAI Codex CLI. Use for: technical research, documentation lookup, code analysis, or when external AI perspective is needed.
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GitHub
when-analyzing-user-intent-use-intent-analyzer
Advanced intent interpretation system using cognitive science principles and probabilistic intent mapping
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GitHub
using-superpowers
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Read tool before announcing usage, following brainstorming before coding, and creating TodoWrit...
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GitHub
when-optimizing-prompts-use-prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques
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GitHub
when-optimizing-agent-learning-use-reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
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GitHub
google-image-gen
Generate images using Google's Gemini API. Use this skill when the user wants to generate, create, or edit images with AI. Keywords: image generation, create image, generate picture, AI art, edit image, Gemini,...
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GitHub
search-memory
Search the hierarchical memory system for relevant memories. Searches across all tiers (working, episodic, semantic) and returns ranked results. Use for context retrieval and pattern matching. Keywords: memory,...
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GitHub
my-llm-sdk
Use when working with my-llm-sdk
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GitHub
filter-duplicates
Fast pre-filter to remove articles already processed. Uses Redis for O(1) URL lookup to avoid wasting LLM calls on previously seen content.
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GitHub
analyze-article
Use LLM to analyze a raw article. Generates summary, extracts entities, categorizes content, assigns importance score, and detects breaking news.
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GitHub
compose-digest
Compose a formatted news digest from processed articles and trends. Uses LLM to generate cohesive narrative summary with embedded citations. Formats for Discord readability.
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GitHub
context-compression
Compresses large text into minimal tokens while retaining key facts, entities, themes, and events. Used for reducing context window usage.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。