domain cluster

Data & AI

Machine learning, LLMs, and data processing.

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llm-ai
1

image-generation

AI图像生成与编辑能力,基于 Nano Banana (Gemini Image) 实现文生图、图生图、图像编辑。适用于创意设计、营销素材、社交媒体内容、演示文稿配图等场景。支持多种风格、高分辨率输出(最高4K)、文字渲染、角色一致性保持。

hxk622
hxk622
data-ai
open
llm-ai
1

code-reviewer

Atlas skill for converting Claude Code Subagents to OpenCode Agents format. USE WHEN migrating from Claude Code to OpenCode or when you have existing subagent definitions to port.

edheltzel
edheltzel
data-ai
open
llm-ai
1

multi-agent-orchestration

Comprehensive guide to building multi-agent systems, agent collaboration patterns, and orchestration strategies (2025-2026 standards)

mdaashir
mdaashir
data-ai
open
llm-ai
1

few-shot-prompting

Example-based prompting techniques for in-context learning

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
1

optimizing-rag

Optimize RAG performance with reranking, caching, parallel processing, and production deployment patterns. Use when improving retrieval quality, adding rerankers, deploying to production, implementing caching strategies, or optimizing for scale and latency.

tkhongsap
tkhongsap
data-ai
open
llm-ai
1

rag-expert

Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures

frankxai
frankxai
data-ai
open
llm-ai
1

jules

Scripts to communicate with Jules AI - An Autonomous Coding Agent

dappvibe
dappvibe
data-ai
open
llm-ai
1

doc-review

Review a single file or all files in a folder for data inconsistencies, reference errors, typos, and unclear terminology using parallel sub-agents

vladm3105
vladm3105
data-ai
open
llm-ai
1

remembering-conversations

ALWAYS USE THIS SKILL WHEN STARTING ANY KIND OF WORK, NO MATTER HOW TRIVIAL. You have no memory between sessions and will reinvent solutions or repeat past mistakes UNLESS YOU USE THIS SKILL. Gives you perfect recall of all your past conversations and projects.

Krosebrook
Krosebrook
data-ai
open
llm-ai
1

consulting-agents

Use when you need information you don't have, expertise outside your comfort zone, or fresh eyes on code - dispatches agents to research, advise, or review. NOT for implementation delegation (see subagent-driven-development).

snits
snits
data-ai
open
llm-ai
1

rag-exploitation

Attack techniques for Retrieval-Augmented Generation systems including knowledge base poisoning

pluginagentmarketplace
pluginagentmarketplace
data-ai
open
machine-learning
1

hugging-face-evaluation-manager

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Nymbo
Nymbo
data-ai
open
machine-learning
1

multi-model-validation

Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.1.0 - SubagentStop hook enforces statistics collection, MANDATORY checklist prevents incomplete reviews, timing instrumentation examples. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".

involvex
involvex
data-ai
open
llm-ai
1

context-optimization

Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.

SyntaxAsSpiral
SyntaxAsSpiral
data-ai
open
llm-ai
1

outsourcing-core

로컬 AI CLI에 작업을 아웃소싱할 때 자동 활성화. Use when the task is complex, requires specialized AI capabilities, or benefits from distributing work to different AI models

inchan
inchan
data-ai
open
llm-ai
1

rlm-process

Process large contexts using RLM (Recursive Language Model) patterns - chunking, filtering, recursive sub-calls

namesreallyblank
namesreallyblank
data-ai
open
llm-ai
1

writing-claude-skills

Create effective Agent Skills following the agentskills.io specification. Use when creating new skills, reviewing existing skills, or improving skill descriptions.

stephendolan
stephendolan
data-ai
open
machine-learning
1

training-hub

Fine-tune LLMs using Red Hat training-hub library with SFT, LoRA, and OSFT algorithms. Use when preparing JSONL datasets, running training jobs, configuring hardware, scaling to clusters, evaluating models, or deploying with vLLM.

RobbieJ
RobbieJ
data-ai
open
llm-ai
1

fal-ai-image

Generate images using fal.ai nano-banana-pro model

artwist-polyakov
artwist-polyakov
data-ai
open
llm-ai
1

prompting

Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive discovery, and optimization for signal-to-noise ratio.

rafaelcalleja
rafaelcalleja
data-ai
open
llm-ai
1

claude4-prompt-engineer

Expert prompt engineering for Claude 4.x models (Sonnet 4.5, Opus 4.5, Haiku 4.5). Use when creating system prompts, optimizing existing prompts, designing agentic workflows, or improving prompt effectiveness. Triggers on requests like "optimize this prompt", "write a system prompt", "improve these instructions", "create an agent prompt", or any task involving prompt design for Claude.

pkarpovich
pkarpovich
data-ai
open
llm-ai
1

hf-jobs

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.

Nymbo
Nymbo
data-ai
open
llm-ai
1

architecting-memory

Implements progression from Vector RAG → GraphRAG → Temporal Knowledge Graphs. Use when designing persistent memory architectures for AI agent systems.

Git-Fg
Git-Fg
data-ai
open
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