MLOps
Operacions d’aprenentatge automàtic
change-management
alirezarezvani
"Framework for rolling out organizational changes without chaos. Covers the ADKAR model adapted for startups, communication templates, resistance patterns, and change fatigue management. Handles process changes, org restructures, strategy pivots, and culture changes. Use when announcing a reorg, switching tools, pivoting strategy, killing a product, changing leadership, or when user mentions change management, change rollout, managing resistance, org change, reorg, or pivot communication."
cro-advisor
alirezarezvani
"Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity."
senior-ml-engineer
alirezarezvani
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.
implement-feature
tddworks
Guide for implementing features in ClaudeBar following architecture-first design, TDD, rich domain models, and Swift 6.2 patterns. Use this skill when: (1) Adding new functionality to the app (2) Creating domain models that follow user's mental model (3) Building SwiftUI views that consume domain models directly (4) User asks "how do I implement X" or "add feature Y" (5) Implementing any feature that spans Domain, Infrastructure, and App layers
unity-project
Besty0728
"Project information. Use when users want to get project settings, quality settings, or shader lists. Triggers: project, settings, quality, build, configuration, Unity项目, Unity设置, Unity质量, Unity构建."
unity-material
Besty0728
"Unity material and shader properties. Use when users want to create materials, set colors, textures, emission, or shader properties. Triggers: material, shader, color, texture, emission, albedo, metallic, smoothness, 材质, 颜色, 纹理, 发光."
unity-importer
Besty0728
"Asset import settings. Use when users want to configure texture, audio, or model import settings. Triggers: import settings, texture settings, audio settings, model settings, compression, max size, 导入设置, 纹理设置, Unity压缩."
influencer-marketing
kostja94
When the user wants to plan, implement, or optimize influencer marketing strategy. Also use when the user mentions "influencer marketing," "KOL," "creator partnership," "brand ambassador," "sponsored content," "influencer campaign," "micro-influencer," "influencer outreach," "creator collaboration," or "influencer deal."
bg-remover
majiayu000
Remove backgrounds from images using FAL.ai's BiRefNet model. Use when users ask to remove background, make transparent PNG, extract subject from image, or create cutouts. Trigger phrases include "remove background", "transparent background", "cut out", "extract subject", or any background removal request.
Build Your Pipecat Skill
majiayu000
"Create your Pipecat skill from official documentation, then learn to improve it throughout the chapter"
flow-nexus-neural
majiayu000
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
Build Your Pipecat Skill
majiayu000
"Create your Pipecat skill from official documentation, then learn to improve it throughout the chapter"
model-selection
majiayu000
Automatically applies when choosing LLM models and providers. Ensures proper model comparison, provider selection, cost optimization, fallback patterns, and multi-model strategies.
flow-nexus-neural
majiayu000
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
claude-opus-4-5-migration
aiskillstore
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.
DDD Domain Mapping (from QCSD-AGENTIC-QE-MAPPING-FRAMEWORK.md)
proffesor-for-testing
Agentic QE Fleet is an open-source AI-powered quality engineering platform designed for use with Claude Code, featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.
domain-driven-design
wondelai
'Model software around the business domain using bounded contexts, aggregates, and ubiquitous language. Use when the user mentions "domain modeling", "bounded context", "aggregate root", "ubiquitous language", or "anti-corruption layer". Covers entities vs value objects, domain events, and context mapping strategies. For architecture layers, see clean-architecture. For complexity, see software-design-philosophy.'
design-everyday-things
wondelai
'Apply foundational design principles: affordances, signifiers, constraints, feedback, and conceptual models. Use when the user mentions "why is this confusing", "affordance", "error prevention", "discoverability", "human-centered design", or "fault tolerance". Covers the gulfs of execution and evaluation. For usability scoring, see ux-heuristics. For iOS-specific patterns, see ios-hig-design.'
predictable-revenue
wondelai
'Build a scalable outbound B2B sales process with specialized roles (SDR, AE, CSM). Use when the user mentions "outbound sales", "Cold Calling 2.0", "prospecting emails", "sales pipeline", "SDR process", or "B2B SaaS sales". Covers lead generation, qualification frameworks, and separating prospecting from closing. For offer design, see hundred-million-offers. For persuasion science, see influence-psychology.'
axiom-foundation-models-ref
CharlesWiltgen
Reference — Complete Foundation Models framework guide covering LanguageModelSession, @Generable, @Guide, Tool protocol, streaming, dynamic schemas, built-in use cases, and all WWDC 2025 code examples
run-llms
av
Guide for setting up and running local LLMs using Harbor. Use when user wants to run LLMs locally, set up Ollama, Open WebUI, llama.cpp, vLLM, or similar local AI services. Covers full setup from Docker prerequisites through running models, configuration, profiles, tunnels, and advanced features.
vrm-springbone-physics
Project-N-E-K-O
Debugging and fixing VRM SpringBone physics issues in three-vrm, including hair/clothing physics that flies upward, sticks out horizontally, or behaves unnaturally.
gpu-optimizer
Mathews-Tom
'GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile. Triggers on: "optimize GPU training", "speed up CUDA", "reduce OOM", "migrate NumPy to CuPy", "manage GPU memory", "benchmark PyTorch".'
add-model-price
langfuse
Add new LLM model pricing entries to Langfuse's default-model-prices.json. Use when adding model prices, updating model pricing, creating model entries, adding Claude/OpenAI/Anthropic/Google/Gemini/AWS Bedrock/Azure/Vertex AI model pricing, working with matchPattern regex, pricingTiers, or model cost configuration. Covers model price JSON structure, regex patterns for multi-provider matching, tiered pricing with conditions, cache pricing, and validation rules.