llm-ai
0
qdrant-retrieval-tool
Generate JSON schemas and Python handlers for Qdrant-based retrieval tools used by the RAG agent to search sitemap-crawled textbook content with URL citations.
nadeemsangrasi
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
0
agentdb-memory-patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
adebold
data-ai
llm-ai
0
gemini-image-edit
Edit existing images with text prompts using fal.ai Gemini 3 Pro. Use when the user wants to modify, edit, transform, or change an existing image based on a text description. Supports multiple input images for context.
bluewaves-creations
data-ai
llm-ai
0
moai-foundation-core
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
zellycloud
data-ai
llm-ai
0
agent-creator
Interview-based system for creating specialized Claude Code agents. Use when users want to create a Claude Code agent, need help defining agent roles and responsibilities, mention "create an agent" or "build an agent", or want to generate a CLAUDE.md file for agentic coding workflows. Guides through interactive interview to gather requirements and generates complete agent configurations following Claude Code best practices.
tswicegood
data-ai
llm-ai
0
decision-tree-design
Systematic decision tree and epic generation through Socratic discovery
darantrute
data-ai
llm-ai
0
skill-creator
Creates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.
stephanofer
data-ai
llm-ai
0
web-whisper-widget
Add speech-to-text transcription widget to web pages using Whisper server. Creates WhisperWidget JS component that records audio, sends to whisper server, and returns transcribed text. Use when adding voice input to web applications.
lawless-m
data-ai
llm-ai
0
reload-context
ユーザーメモリ、プロジェクトメモリ、READMEを再読み込み。「コンテキストを再読み込み」「設定をリロード」「CLAUDE.mdを読み直して」と言われた時、またはclear後にコンテキストを復元したい時に使用
trysmr
data-ai
llm-ai
0
forecast-skill
Provides real-time weather forecasts using OpenWeatherMap API. Use when users ask about current or future weather conditions, temperature, precipitation, or weather-dependent planning for any location (e.g., 'What's the weather in Paris tomorrow?', 'Will it rain in Seattle this weekend?', 'Should I bring a jacket to Denver?').
kevinl95
data-ai
llm-ai
0
conversation
Natural language understanding, intent classification, context management, reference resolution, and conversation history analysis for agentful
itz4blitz
data-ai
llm-aimarketplace
0
ms-agent-types
Use when implementing different agent types in Microsoft Agent Framework. Triggers: "ChatAgent", "BaseAgent", "WorkflowAgent", "A2A agent", "custom agent class". NOT for: Non-Microsoft agent frameworks or simple single-agent scenarios.
pagerguild
data-ai
machine-learning
0
llm-coach
This skill should be used when the user asks to "train a model", "fine-tune", "build NLP model", "create training task", "optimize model performance", "improve accuracy", "what model should I use", or expresses vague training needs like "I want to do sentiment analysis" or "help me with NER". Provides coaching-style guidance to clarify goals, diagnose pain points, and recommend optimal training approaches.
p988744
data-ai
llm-ai
0
ontology-phase-2-analyze
Phase 2 of Ontology Builder Pipeline. AI acts as domain SME to analyze raw inputs, extract entities/workflows/rules, fill knowledge gaps using market expertise. Use after Phase 1 ingestion is complete.
a4b-corporation
data-ai
llm-ai
0
claude-code-cli
Build and run AI agents using Claude Code CLI. Use when developing autonomous agents, multi-agent systems, CI/CD automation, or scripting Claude for programmatic tasks. Covers authentication, headless mode (-p), JSON output parsing, tool restrictions, subagents, and orchestration patterns.
filipexyz
data-ai
llm-ai
0
openai-api
Build production-grade applications with OpenAI APIs (direct or via Azure OpenAI). Covers structured outputs, function calling, streaming, Assistants API, Responses API, Agents SDK, cost optimization, rate limiting, error handling, and batch processing. IMPORTANT: Before implementing, gather context about the target environment including: - API provider (OpenAI direct vs Azure OpenAI) - Primary use cases (chat, function calling, structured outputs, assistants, agents) - Cost constraints and optimization requirements - Error handling and retry strategy needs
osocode
data-ai
llm-ai
0
using-gremlins
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
brmatola
data-ai
llm-ai
0
map-territory
First step for any task. Uses HelixDB to map code relationships, then loads precise context into Repo Prompt. Trigger when starting work, feeling lost, or context seems stale.
maxtheman
data-ai
