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LLM & AI

Large Language Models and AI agents.

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llm-ai
7

langchain-framework

LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications

bobmatnyc
bobmatnyc
data-ai
open
llm-ai
7

agent-evaluation

Design and implement comprehensive evaluation systems for AI agents. Use when building evals for coding agents, conversational agents, research agents, or computer-use agents. Covers grader types, benchmarks, 8-step roadmap, and production integration.

supercent-io
supercent-io
data-ai
open
llm-ai
7

langgraph

LangGraph framework for building stateful, multi-agent AI applications with cyclical workflows, human-in-the-loop patterns, and persistent checkpointing.

bobmatnyc
bobmatnyc
data-ai
open
llm-ai
7

character-naming

Break LLM name defaults with external entropy. Use when character names cluster around statistical medians (Chen, Patel, Maya, Marcus), when cast has collision risks, or when fantasy cultures need phonologically consistent naming.

jwynia
jwynia
data-ai
open
llm-ai
7

azure-ai-voicelive

Build real-time voice AI applications using Azure AI Voice Live SDK (azure-ai-voicelive). Use this skill when creating Python applications that need real-time bidirectional audio communication with Azure AI, including voice assistants, voice-enabled chatbots, real-time speech-to-speech translation, voice-driven avatars, or any WebSocket-based audio streaming with AI models. Supports Server VAD (Voice Activity Detection), turn-based conversation, function calling, MCP tools, avatar integration, and transcription.

microsoft
microsoft
data-ai
open
llm-ai
7

model-mediated-development

Use when building any system that involves AI/model calls - integrates with brainstorming, planning, and TDD to ensure model agency over hardcoded rules

dbmcco
dbmcco
data-ai
open
llm-ai
7

telegram-bot-management

Telegram bot production management, monitoring, and troubleshooting. Use when user mentions telegram bot, claude-orchestrator, bot status, bot restart, or bot monitoring.

terrylica
terrylica
data-ai
open
llm-ai
7

conlang

Generate phonologically consistent constructed languages for fiction. Use when you need naming languages, alien speech, or fantasy tongues without deep linguistics knowledge.

jwynia
jwynia
data-ai
open
llm-ai
7

update-agents-md

Update AGENTS.md with new rules to prevent AI misbehavior or add operational guidelines. Use when the user says "update AGENTS.md", "add this rule", "change AI behavior", or "don't do X automatically".

nozomi-koborinai
nozomi-koborinai
data-ai
open
llm-ai
7

azure-ai-search-python

Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working with vector/hybrid search. Covers SearchClient, SearchIndexClient, SearchIndexerClient, and KnowledgeBaseRetrievalClient.

microsoft
microsoft
data-ai
open
llm-ai
7

creating-skills

Creates new Agent Skills (SKILL.md + optional scripts/references) that follow the Agent Skills spec. Use when the user asks to create, structure, validate, or improve an agent skill.

acasto
acasto
data-ai
open
llm-ai
7

tzurot-council-mcp

Best practices for using the Council MCP server in Tzurot v3 development - When to consult external AI, how to structure prompts, model selection, and multi-turn conversations. Use when planning major changes or needing a second opinion.

lbds137
lbds137
data-ai
open
llm-ai
7

ultrathink-multiagent-workflow

Design principles for ultrathink multi-agent workflows using the Ralph Wiggum technique. Use when orchestrating multiple AI agents (Opus/Sonnet/Gemini/Codex) for complex autonomous development tasks with extended thinking and iterative improvement loops.

supercent-io
supercent-io
data-ai
open
llm-ai
7

subagent-creation

Create and configure Claude Code subagents for specialized task delegation. Use when defining expert AI assistants with focused responsibilities, custom prompts, and specific tool permissions.

supercent-io
supercent-io
data-ai
open
llm-ai
7

mem-search

Search rad-mem's persistent cross-session memory database. Use when user asks "did we already solve this?", "how did we do X last time?", or needs work from previous sessions.

thedotmack
thedotmack
data-ai
open
llm-ai
7

ros2-custom-interfaces

Generate ROS 2 custom message (.msg) and service (.srv) interface definitions for educational content. This skill should be used when creating lessons that teach interface design, writing exercises involving custom data types, or generating worked examples for robotics communication protocols.

mjunaidca
mjunaidca
data-ai
open
llm-ai
7

session-info

Get current Claude Code session UUID and registry info. TRIGGERS - current session, session uuid, session id, what session, which session.

terrylica
terrylica
data-ai
open
llm-ai
7

anthropic-sdk

Official Anthropic SDK for Claude AI with chat, streaming, function calling, and vision capabilities

bobmatnyc
bobmatnyc
data-ai
open
llm-ai
7

session-compression

AI session compression techniques for managing multi-turn conversations efficiently through summarization, embedding-based retrieval, and intelligent context management.

bobmatnyc
bobmatnyc
data-ai
open
llm-ai
7

list-builder

Build comprehensive randomization lists for creative entropy. Use when you need to create or expand lists of story elements (professions, locations, objects, names, etc.) for use with entropy tools. Leverages research sources like Kiwix/Wikipedia to build lists with good variety and size.

jwynia
jwynia
data-ai
open
llm-ai
7

session-guidance

Configure Ralph loop guidance via AUQ flows - forbidden/encouraged items from constraint scan. TRIGGERS - session guidance, loop configuration, /ralph:start Step 1.6.

terrylica
terrylica
data-ai
open
llm-ai
7

chatkit-integration

Integrate OpenAI ChatKit framework with custom backend and AI agents. Handles ChatKit server implementation, React component integration, context injection, and conversation persistence.

mjunaidca
mjunaidca
data-ai
open
llm-ai
7

skill-builder

Build new agent skills. Use when creating diagnostic frameworks, CLI tools, or data-driven generators that follow the established skill patterns.

jwynia
jwynia
data-ai
open
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