llm-ai
232
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
ruvnet
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
215
improve-prompt
나노바나나 프롬프트의 정확성을 한글 번역본과 비교하여 검증하고, WebSearch로 팩트체크한 후 이슈별로 사용자 확인을 거쳐 수정합니다. 사용: /improve-prompt week1/deep-dive-llms/tokenization
team-attention
data-ai
llm-ai
215
nanobanana
Reading 원문에서 나노바나나 프로용 치트시트 프롬프트를 생성합니다. 3단계 에이전트 파이프라인(분석→구조설계→프롬프트생성)으로 콘텐츠 유형에 맞는 프롬프트 생성. 사용: /nanobanana week1/slug
team-attention
data-ai
llm-ai
211
claudish-usage
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
MadAppGang
data-ai
llm-ai
211
tag-command-mapping
How tag-to-command routing works in autopilot. Defines default mappings, precedence rules, and customization patterns.
MadAppGang
data-ai
llm-ai
211
claudish-usage
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
MadAppGang
data-ai
llm-ai
211
debug-mode
Enable, disable, and manage debug mode for agentdev sessions. Records all tool invocations, skill activations, hook triggers, and agent delegations to JSONL. Use when debugging agent behavior, optimizing workflows, or analyzing session performance.
MadAppGang
data-ai
llm-ai
200
remembering-conversations
Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unfamiliar workflows, OR when user references past work. Searches conversation history.
obra
data-ai
llm-ai
193
conversation-analyzer
Analyzes Claude Code conversation JSONL files to extract structured data and generate problem-solution narratives for semantic search indexing
ramakay
data-ai
llm-ai
190
skill-creator
创建有效技能的指南。当用户想要创建新技能（或更新现有技能）以通过专业知识、工作流或工具集成扩展 Claude 的功能时，应使用此技能。
Prorise-cool
data-ai
llm-ai
190
load-pickle-persona
Activates the Pickle Rick persona. Use this ONLY when the user explicitly requests to start the "Pickle Rick" mode or loop. DO NOT use this for general greetings (e.g., "hi") normal assistance.
galz10
data-ai
llm-ai
190
mcp-builder
创建高质量 MCP（模型上下文协议）服务器的指南，使 LLM 能够通过精心设计的工具与外部服务交互。在构建 MCP 服务器以集成外部 API 或服务时使用，无论是 Python (FastMCP) 还是 Node/TypeScript (MCP SDK)。
Prorise-cool
data-ai
llm-ai
180
agent-recorder-fixtures
Record real OpenAI/Anthropic HTTP back-and-forth (requests + responses, including streaming text/event-stream) and print paste-ready Swift fixtures for SwiftAgent unit tests (ReplayHTTPClient) using the AgentRecorder CLI or HTTPReplayRecorder. Use when adding/updating any provider adapter tests (text, streaming, structured outputs, tool calls), when payload formats change, or when debugging agent loop mismatches by inspecting recorded JSON/SSE payloads.
SwiftedMind
data-ai
llm-ai
175
adapter-factory
Guide for creating new CLI or HTTP adapters to integrate AI models into the AI Counsel deliberation system
blueman82
data-ai
llm-ai
175
use-llamactl-a-cli-tool-for-llamaagents
Use llamactl to initialize, locally preview, deploy and manage LlamaIndex workflows as LlamaAgents. Required llama-index-workflows and llamactl to be installed in the environment.
run-llama
data-ai
llm-ai
175
extract-structured-data-from-unstructured-files-pdf-pptx-docx
Invoke this skill BEFORE implementing any structured data extraction from documents to learn the correct llama_cloud_services API usage. Required reading before writing extraction code. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
run-llama
data-ai
llm-ai
175
pdf-processing
Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
run-llama
data-ai
llm-ai
175
classify-files-according-to-specific-rules
Invoke this skill BEFORE implementing any text/document classification task to learn the correct llama_cloud_services API usage. Required reading before writing classification code." Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
run-llama
data-ai
llm-ai
175
decision-graph-analyzer
Query and analyze the AI Counsel decision graph to find past deliberations, identify patterns, and debug memory issues
blueman82
data-ai
llm-ai
175
retrieve-relevant-information-through-rag
Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
run-llama
data-ai
llm-ai
173
ai-partner-chat
基于用户画像和向量化笔记提供个性化对话。当用户需要个性化交流、上下文感知的回应，或希望 AI 记住并引用其之前的想法和笔记时使用。
eze-is
data-ai
llm-ai
173
prompt-optimize
Expert prompt engineering skill that transforms Claude into "Alpha-Prompt" - a master prompt engineer who collaboratively crafts high-quality prompts through flexible dialogue. Activates when user asks to "optimize prompt", "improve system instruction", "enhance AI instruction", or mentions prompt engineering tasks.
YYH211
data-ai