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LLM & AI

Large Language Models and AI agents.

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llm-ai
232

performance-analysis

Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms

ruvnet
ruvnet
data-ai
open
llm-ai
215

improve-prompt

๋‚˜๋…ธ๋ฐ”๋‚˜๋‚˜ ํ”„๋กฌํ”„ํŠธ์˜ ์ •ํ™•์„ฑ์„ ํ•œ๊ธ€ ๋ฒˆ์—ญ๋ณธ๊ณผ ๋น„๊ตํ•˜์—ฌ ๊ฒ€์ฆํ•˜๊ณ , WebSearch๋กœ ํŒฉํŠธ์ฒดํฌํ•œ ํ›„ ์ด์Šˆ๋ณ„๋กœ ์‚ฌ์šฉ์ž ํ™•์ธ์„ ๊ฑฐ์ณ ์ˆ˜์ •ํ•ฉ๋‹ˆ๋‹ค. ์‚ฌ์šฉ: /improve-prompt week1/deep-dive-llms/tokenization

team-attention
team-attention
data-ai
open
llm-ai
215

nanobanana

Reading ์›๋ฌธ์—์„œ ๋‚˜๋…ธ๋ฐ”๋‚˜๋‚˜ ํ”„๋กœ์šฉ ์น˜ํŠธ์‹œํŠธ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค. 3๋‹จ๊ณ„ ์—์ด์ „ํŠธ ํŒŒ์ดํ”„๋ผ์ธ(๋ถ„์„โ†’๊ตฌ์กฐ์„ค๊ณ„โ†’ํ”„๋กฌํ”„ํŠธ์ƒ์„ฑ)์œผ๋กœ ์ฝ˜ํ…์ธ  ์œ ํ˜•์— ๋งž๋Š” ํ”„๋กฌํ”„ํŠธ ์ƒ์„ฑ. ์‚ฌ์šฉ: /nanobanana week1/slug

team-attention
team-attention
data-ai
open
llm-ai
214

mcpc

Use mcpc CLI to interact with MCP servers - call tools, read resources, get prompts. Use this when working with Model Context Protocol servers, calling MCP tools, or accessing MCP resources programmatically.

apify
apify
data-ai
open
llm-ai
211

patterns

Common agent patterns and templates for Claude Code. Use when implementing agents to follow proven patterns for proxy mode, TodoWrite integration, and quality checks.

MadAppGang
MadAppGang
data-ai
open
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
MadAppGang
data-ai
open
llm-ai
211

tag-command-mapping

How tag-to-command routing works in autopilot. Defines default mappings, precedence rules, and customization patterns.

MadAppGang
MadAppGang
data-ai
open
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
MadAppGang
data-ai
open
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
MadAppGang
data-ai
open
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
obra
data-ai
open
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
ramakay
data-ai
open
llm-ai
190

skill-creator

ๅˆ›ๅปบๆœ‰ๆ•ˆๆŠ€่ƒฝ็š„ๆŒ‡ๅ—ใ€‚ๅฝ“็”จๆˆทๆƒณ่ฆๅˆ›ๅปบๆ–ฐๆŠ€่ƒฝ๏ผˆๆˆ–ๆ›ดๆ–ฐ็Žฐๆœ‰ๆŠ€่ƒฝ๏ผ‰ไปฅ้€š่ฟ‡ไธ“ไธš็Ÿฅ่ฏ†ใ€ๅทฅไฝœๆตๆˆ–ๅทฅๅ…ท้›†ๆˆๆ‰ฉๅฑ• Claude ็š„ๅŠŸ่ƒฝๆ—ถ๏ผŒๅบ”ไฝฟ็”จๆญคๆŠ€่ƒฝใ€‚

Prorise-cool
Prorise-cool
data-ai
open
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
galz10
data-ai
open
llm-ai
190

mcp-builder

ๅˆ›ๅปบ้ซ˜่ดจ้‡ MCP๏ผˆๆจกๅž‹ไธŠไธ‹ๆ–‡ๅ่ฎฎ๏ผ‰ๆœๅŠกๅ™จ็š„ๆŒ‡ๅ—๏ผŒไฝฟ LLM ่ƒฝๅคŸ้€š่ฟ‡็ฒพๅฟƒ่ฎพ่ฎก็š„ๅทฅๅ…ทไธŽๅค–้ƒจๆœๅŠกไบคไบ’ใ€‚ๅœจๆž„ๅปบ MCP ๆœๅŠกๅ™จไปฅ้›†ๆˆๅค–้ƒจ API ๆˆ–ๆœๅŠกๆ—ถไฝฟ็”จ๏ผŒๆ— ่ฎบๆ˜ฏ Python (FastMCP) ่ฟ˜ๆ˜ฏ Node/TypeScript (MCP SDK)ใ€‚

Prorise-cool
Prorise-cool
data-ai
open
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
SwiftedMind
data-ai
open
llm-ai
175

adapter-factory

Guide for creating new CLI or HTTP adapters to integrate AI models into the AI Counsel deliberation system

blueman82
blueman82
data-ai
open
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
run-llama
data-ai
open
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
run-llama
data-ai
open
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
run-llama
data-ai
open
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
run-llama
data-ai
open
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
blueman82
data-ai
open
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
run-llama
data-ai
open
llm-ai
173

ai-partner-chat

ๅŸบไบŽ็”จๆˆท็”ปๅƒๅ’Œๅ‘้‡ๅŒ–็ฌ”่ฎฐๆไพ›ไธชๆ€งๅŒ–ๅฏน่ฏใ€‚ๅฝ“็”จๆˆท้œ€่ฆไธชๆ€งๅŒ–ไบคๆตใ€ไธŠไธ‹ๆ–‡ๆ„Ÿ็Ÿฅ็š„ๅ›žๅบ”๏ผŒๆˆ–ๅธŒๆœ› AI ่ฎฐไฝๅนถๅผ•็”จๅ…ถไน‹ๅ‰็š„ๆƒณๆณ•ๅ’Œ็ฌ”่ฎฐๆ—ถไฝฟ็”จใ€‚

eze-is
eze-is
data-ai
open
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
YYH211
data-ai
open
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