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LLM & AI

Large Language Models and AI agents.

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llm-ai
7

perplexity-research

Use when conducting web research with Perplexity API - covers authentication, search strategies, structured output generation, and integration patterns for Claude-interpretable results

dbmcco
dbmcco
data-ai
open
llm-ai
7

ros2-service-pattern

Generate ROS 2 service server and client code examples for educational content. This skill should be used when creating lessons that teach request/response communication, writing exercises involving services, or generating worked examples for synchronous robot commands.

mjunaidca
mjunaidca
data-ai
open
llm-ai
6

data-storytelling

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

rmyndharis
rmyndharis
data-ai
open
llm-ai
6

prd-v01-user-value-articulation

Transform validated pain points into articulated user value statements for PRD v0.1 Spark. Triggers on completing problem framing, defining user outcomes, articulating value propositions, or requests like "what value do users get", "define outcomes", "articulate the benefit", "finish v0.1", "pain to value", "what do they gain". Outputs CFD- entries tagged as value hypotheses with evidence tiers. Follows Problem Framing skill in workflow.

mattgierhart
mattgierhart
data-ai
open
llm-ai
6

review

Run expert review on a plan with parallel reviewer agents. Presents findings as Socratic questions. Use when asked to "review the plan", "get feedback on the design", "check this approach", or before implementation to validate architectural decisions. Optional argument: reviewer name (e.g., `/arc:review daniel-product-engineer` to use a specific reviewer)

howells
howells
data-ai
open
llm-ai
6

prp-manager

Create and execute PRPs (Product Requirements Prompts) for feature implementation using Context Engineering principles. Use when planning new features, initializing PRP setup, executing existing PRPs, or when the user mentions "PRP", "feature planning", "implementation blueprint", or "context engineering". Helps achieve one-pass implementation success.

willywg
willywg
data-ai
open
llm-ai
6

photo-studio-skill

Generate professional AI-enhanced photos using ByteDance Seedream 4.5 model. Use when users want to, (1) Create portraits with various styles, (2) Generate couple or family group photos, (3) Take photos with movie characters, (4) Edit images (change clothing, background, material, style), (5) Merge multiple photos (outfit fusion, person-scenery fusion, brand design), (6) Create series of related images (seasons, character states, story sequences), (7) Design posters (movie, event, product), or (8) Use custom prompts with full creative control.

songjiayang
songjiayang
data-ai
open
llm-ai
6

prompt-improver

Transform any rough prompt, task description, or job into an optimized AI instruction prompt. Use when users ask to "improve this prompt", "make this better for an AI", "optimize this for Claude/GPT", or provide raw instructions that need refinement into a well-structured prompt following best practices.

dazuck
dazuck
data-ai
open
llm-ai
6

voiceover-studio

Design custom voices from text prompts and produce professional narration with voice design previews.

Hmbown
Hmbown
data-ai
open
llm-ai
6

stop-slop

Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.

b-open-io
b-open-io
data-ai
open
llm-ai
6

whisk

Use when user asks to generate, create, or draw an image, photo, picture, logo, illustration, or art. Triggers include 'сгенерируй', 'нарисуй', 'создай картинку', 'сделай фото', 'фотографию', 'изображение', 'иллюстрацию', 'логотип', 'generate image', 'create image', 'draw', 'make a picture', 'visualize'.

AndyShaman
AndyShaman
data-ai
open
llm-ai
6

nano-banana-pro

Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.

stared
stared
data-ai
open
llm-ai
6

gemini-image

Generate images using AI when user wants to create pictures, draw, paint, or generate artwork. Supports text-to-image and image-to-image generation.

acking-you
acking-you
data-ai
open
llm-ai
6

doc-to-vector-dataset-generator

Converts documents into clean, chunked datasets suitable for embeddings and vector search. Produces chunked JSONL files with metadata, deduplication logic, and quality checks. Use when preparing "training data", "vector datasets", "document processing", or "embedding data".

patricio0312rev
patricio0312rev
data-ai
open
llm-ai
6

llm-cli

Process textual and multimedia files with various LLM providers using the llm CLI. Supports both non-interactive and interactive modes with model selection, config persistence, and file input handling.

glebis
glebis
data-ai
open
llm-ai
6

embedding-pipeline-builder

Builds document embedding pipelines with text chunking, embedding generation, indexing, and retrieval optimization. Use when users request "embedding pipeline", "document indexing", "text chunking", "RAG preprocessing", or "semantic indexing".

patricio0312rev
patricio0312rev
data-ai
open
llm-ai
6

file-categorization

Reusable logic for categorizing files as Command, Agent, Skill, or Documentation based on structure and content analysis

enuno
enuno
data-ai
open
llm-ai
6

reflect

Distill learnings into improvements for the skills and AGENTS.md instructions

rstacruz
rstacruz
data-ai
open
llm-ai
6

basic-usage

Use when getting started with llmemory document storage and search - covers installation, initialization, adding documents, vector search, hybrid search, semantic search, BM25 full-text search, document management, and building RAG systems with multi-tenant support

juanre
juanre
data-ai
open
llm-ai
6

prompt-engineering

Use when writing or improving any LLM prompts. Applies TDD methodology and research-backed practices (Meincke 2025): test don't assume, measure baseline, iterate rigorously. Prevents assuming universal techniques work. Triggers: 'write a prompt', 'improve prompt', 'prompt not working', general prompting, application development.

sebnow
sebnow
data-ai
open
llm-ai
6

claude-config-optimizer

Claude Code config optimization skill. Use when: - Editing CLAUDE.md, rules/, skills/, agents/, commands/ - User asks about config best practices - Checking optimization status - User says "claude code changelog" or "claude code updates" - User asks about new features or breaking changes in Claude Code

i9wa4
i9wa4
data-ai
open
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