domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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llm-ai
0

repo-onboarding

Repository onboarding and agent bootstrap. Use at the start of a new repo session or before any task to load AGENTS.md, architecture/skills indexes, and discover local Codex skills.

CheekyCodexConjurer
CheekyCodexConjurer
data-ai
open
llm-ai
0

ai-output-validation

Ensures all AI-generated output fields have proper validation. Auto-activates on "AI 輸出", "LLM", "Gemini", "GPT", "truncate", "截斷" keywords. Lesson learned: 2026-01-08 Quick Feedback, Report, Deep Analyze truncation bugs.

Youngger9765
Youngger9765
data-ai
open
llm-ai
0

qa-flow

Present structured multi-choice questions to users via MCP-based QA artifacts. Use when: (1) Need to ask user multiple structured questions, (2) Gathering preferences or requirements through multi-choice options, (3) Clarifying ambiguous instructions with structured choices, (4) Getting decisions on implementation choices. Triggers on: "UAUQ", "ask me questions", "I need to ask the user", "gather requirements", "clarify with user".

OhadRubin
OhadRubin
data-ai
open
llm-ai
0

hello-world

A simple hello world skill that demonstrates how to create a basic Claude Code skill. Use when the user asks to say hello or test a basic skill.

shesha-io
shesha-io
data-ai
open
machine-learning
0

agent-architect

Design, optimize, and refactor AI agent systems based on Anthropic best practices and latest research. Guides you through architectural decisions with interactive questionnaire, loads current documentation, and launches specialized agent-architect for detailed analysis.

ai-bible
ai-bible
data-ai
open
llm-ai
0

debate-multiverse

멀티 프로바이더 토론 - Claude/GPT/Gemini 3자가 각자의 관점에서 토론

chkim-su
chkim-su
data-ai
open
llm-ai
0

prompt-engineering

Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.

ccf
ccf
data-ai
open
llm-ai
0

moai-ml-rag

Retrieval-Augmented Generation systems, vector databases, embedding strategies, and production RAG architectures for enterprise LLM applications. Use when building RAG, semantic search, or knowledge-aware AI systems.

jg-chalk-io
jg-chalk-io
data-ai
open
llm-ai
0

generating-images

Generates images using Pollinations API. Validates model constraints and dimensions. Use for: image generation logic, model selection, constraint validation. DO NOT use for: video generation (use generating-videos), UI styling (use styling-ui).

Simplereally
Simplereally
data-ai
open
llm-ai
0

agentdb-advanced-features

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

adebold
adebold
data-ai
open
llm-ai
0

reflect

Analyze conversation to extract reusable engineering rules. Use when user says 'reflect', 'remember this', 'learn from this', or after receiving corrections/feedback.

fancive
fancive
data-ai
open
llm-ai
0

llm-provider-configuration

Skill for configuring OpenAI Agents SDK to work with alternative LLM providers using base URL and API key

syeda-hoorain-ali
syeda-hoorain-ali
data-ai
open
llm-ai
0

tech-debt-resolver

Loop automatizado de melhoria contínua que usa o Chat RAG para identificar débitos técnicos, implementa correções, reingere a base de conhecimento e valida até eliminar 100% dos débitos.

diegofornalha
diegofornalha
data-ai
open
llm-ai
0

agent-sdk-definitions

Programmatic agent definitions for the Claude Agent SDK in TypeScript and Python. Use when creating agents for SDK-based applications rather than filesystem-based Claude Code.

mgd34msu
mgd34msu
data-ai
open
llm-ai
0

multi-ai

Start the multi-AI pipeline with a given request. Guides through plan -> review -> implement -> review workflow.

cskwork
cskwork
data-ai
open
llm-ai
0

agent-monitoring

Monitors background agents efficiently using local file reads instead of TaskOutput API calls. Use when running parallel background agents, checking agent progress, detecting completion status, or minimizing token usage during multi-agent orchestration.

mgd34msu
mgd34msu
data-ai
open
llm-ai
0

offline-rl

Master CQL, IQL, BCQ - offline RL from fixed datasets without environment interaction

tachyon-beep
tachyon-beep
data-ai
open
machine-learning
0

yanex-experiment-tracking

Use this skill when running, managing, or analyzing yanex experiments. Includes executing experiments via CLI, parameter sweeps, dependencies, querying experiment history, comparing results, and maintaining experiment logs. Invoke when users mention yanex, experiments, training runs, parameter sweeps, or need to track ML experiments.

rueckstiess
rueckstiess
data-ai
open
llm-ai
0

backend-instance-creator

Creates a permanent backend instance for Claude Imagine. Use this skill when the user wants to set up a new persistent backend server.

t3rm1nu55
t3rm1nu55
data-ai
open
llm-ai
0

tdd-cycle-skill

明示的に呼び出されたときにのみ読み込みます。エージェントが自律的に呼び出す必要はありません。

rimanem18
rimanem18
data-ai
open
llm-ai
0

llm-cost-optimization

Reduce LLM API costs without sacrificing quality. Covers prompt caching (Anthropic), local response caching, prompt compression, debouncing triggers, and cost analysis. Use when building LLM-powered features, analyzing API costs, optimizing prompts, or implementing caching strategies.

ebiyy
ebiyy
data-ai
open
machine-learning
0

deeplearningcoder

Use this skill in the scenario of deep learning project development.

zht7063
zht7063
data-ai
open
machine-learning
0

unsloth-training

Fine-tune LLMs with Unsloth using GRPO or SFT. Supports FP8, vision models, mobile deployment, Docker, packing, GGUF export. Use when: train with GRPO, fine-tune, reward functions, SFT training, FP8 training, vision fine-tuning, phone deployment, docker training, packing, export to GGUF.

ScientiaCapital
ScientiaCapital
data-ai
open
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