llm-ai
0
mcp-server-stdio
Creates and configures stdio Model Context Protocol (MCP) server connections for OpenAI Agents SDK
syeda-hoorain-ali
data-ai
sorting
์คํ
current ordering strategy
query
all entries
refine the visible subset
llm-ai
0
response-timestamps
Automatically adds timestamps and execution duration to all Claude responses
ddttom
data-ai
llm-ai
0
codex-exec
Execute codex CLI as sub-agent for thorough code reviews (codex's specialty), alternative approaches when stuck, or complex problems requiring extended investigation. Note that inference takes significant time.
kecbigmt
data-ai
llm-ai
0
gemini-cli
Gemini CLI is a command-line interface tool that provides direct access to Google's Gemini AI models through the terminal, designed specifically for developers and technical professionals. It serves a...
Zpankz
data-ai
llm-ai
0
prompt-engineering-helper
LLMใใญใณใใใฎๆ้ฉๅใปใในใๆฏๆดในใญใซใใใญใณใใใฎใใใฉใผใใณใน่ฉไพกใๆนๅๆๆกใA/Bใในใใใในใใใฉใฏใใฃใน้ฉ็จใๅ็พๆงๆค่จผใ่กใใพใใ
ntaksh42
data-ai
llm-ai
0
promptly-agent-builder
Create, update, or fix standalone Swift command line agents built with Swift Package Manager that use Promptly packages (PromptlyKit, PromptlyConsole, PromptlyKitTooling, PromptlySubAgents). Use when asked to scaffold a new Promptly-based agent, change its prompts or command line interface, add or adjust tools or sub agents, or diagnose build and run errors in such agents.
nicholascross
data-ai
llm-ai
0
agentuity-cli-cloud-vector-get
Get a specific vector entry by key. Requires authentication. Use for Agentuity cloud platform operations
agentuity
data-ai
llm-ai
0
kbd-morphology
Expert in Kabardian morphological analysis. Provides word structure breakdown, verb template analysis ([PRAGM]-[GEOM]-[ARGS]-[STEM]-[TAM]-[SUBORD]), prefix/suffix identification, derivational patterns, and multi-person verb analysis. Activates when user requests morphological analysis, mentions "ะผะพััะพะปะพะณะธั", "ัะฐะทะฑะพั ัะปะพะฒะฐ", "ััััะบัััะฐ ะณะปะฐะณะพะปะฐ", "ะฟัะตัะธะบั", "ััััะธะบั", or needs help understanding complex word forms.
panagoa
data-ai
llm-ai
0
context-orchestrator
Orchestrates context retrieval from three CLI sources: limitless (personal life transcripts), research (online documentation/facts), pieces (local code/LTM). Use when external context is needed beyond the current codebase. Triggers on /context, /limitless, /research, /pieces, or balanced detection on complex prompts involving personal memory, technical documentation, or development history.
Zpankz
data-ai
llm-ai
0
init-memory
Initialize the memory system in an AI-ready vault. Creates the folder structure, Memory.md dashboard, and example files needed for cross-session memory persistence. Use when setting up a new vault or adding memory capabilities to an existing vault.
robabby
data-ai
llm-ai
0
memory-design-patterns
Best practices for memory architecture design including user vs agent vs session memory patterns, vector vs graph memory tradeoffs, retention strategies, and performance optimization. Use when designing memory systems, architecting AI memory layers, choosing memory types, planning retention strategies, or when user mentions memory architecture, user memory, agent memory, session memory, memory patterns, vector storage, graph memory, or Mem0 architecture.
vanman2024
data-ai
machine-learning
0
lm-studio
This skill should be used when the user asks to "run local LLMs", "use LM Studio", "configure local AI server", "estimate VRAM requirements", "load a model locally", or needs guidance on OpenAI-compatible local API usage, model quantization selection, GPU offload configuration, MCP server integration, or headless LLM server management. Covers local AI inference, CLI automation, SDK integration, and hardware optimization.
arthurelgindell
data-ai
machine-learning
0
training-apo-agents
Train LangChain/LangGraph agents using Microsoft Agent-Lightning APO (Automatic Prompt Optimization). Use when user mentions APO training, prompt optimization, agent-lightning, training multi-agent systems, training single agents, or optimizing agent prompts.
asvskartheek
data-ai
llm-ai
0
transcription
้ณๅฃฐใใกใคใซใWhisper APIใงๆๅญ่ตทใใใใใ้ณๅฃฐๅฆ็ใtranscriptionใๆๅญ่ตทใใใWhisperใซ้ขใใไฝๆฅญๆใซไฝฟ็จใ
tmhr1850
data-ai
llm-ai
0
using-openai-platform
OpenAI SDK development with GPT-5 family, Chat Completions, Responses API, embeddings, and tool calling. Use for AI-powered applications, chatbots, agents, and semantic search.
FortiumPartners
data-ai
llm-ai
0
zhipu-search
ๆ นๆฎ็จๆท็ปๅบ็ๆ็ดขๅ ณ้ฎ่ฏญๅฅ๏ผ่ฐ็จzhipu็ๆ็ดขๅผๆๅพๅฐๆ็ดข็ปๆใ
flyingtimes
data-ai
llm-ai
0
llm
Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins. Features include chat sessions, embeddings, structured data extraction with schemas, prompt templates, conversation logging, and tool use. This skill is triggered when the user says things like "run a prompt with llm", "use the llm command", "call an LLM from the command line", "set up llm API keys", "install llm plugins", "create embeddings", or "extract structured data from text".
SecKatie
data-ai
llm-ai
0
langgraph-builder
Use when creating a new LangGraph graph. Start with a minimal graph and iterate.
rozwer
data-ai
llm-ai
0
creating-agent-skills
ใใกใคใณๅบๆใฎ็ฅ่ญใๆใคๅๅฉ็จๅฏ่ฝใชagent skillsใไฝๆใใพใใใใญใฐใฌใใทใใใฃในใฏใญใผใธใฃใจXMLๆง้ ใไฝฟ็จใใๅนๆ็ใชในใญใซใใญใณใใใ็ๆใใพใใๆฐใใในใญใซใฎไฝๆใๆขๅญในใญใซใฎใชใใกใฏใฟใชใณใฐใในใญใซๆง้ ใฎใในใใใฉใฏใใฃใน้ฉ็จใๅฟ ่ฆใชๅ ดๅใซไฝฟ็จใใฆใใ ใใใ
sekka
data-ai
llm-ai
0
ai-orchestration
LLM keyring management, multi-provider support, and AI agent orchestration
layeddie
data-ai
llm-ai
0
agent-organizer
Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous workflows.
404kidwiz
data-ai
llm-ai
0
simple-example
A simple example Skill demonstrating basic functionality
JiangDing1990
data-ai
llm-ai
0
context-fundamentals
Understand the components, mechanics, and constraints of context in agent systems. Use when designing agent architectures, debugging context-related failures, or optimizing context usage.
bilalmk
data-ai