ML Ops
Machine learning operations
ai-avatar-video
by alfredang
Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Lipsync. Capabilities: audio-driven avatars, lipsync videos, talking head generation, virtual presenters. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human
Builder Operating Model
by Coowoolf
Shift from rigid roles (PM, Designer, Engineer) towards a model where individuals use AI to bridge skill gaps, enabling smaller and flatter teams. Use in early-stage startups or innovation units where speed is critical.
navi
by mcxross
This skill should be used when the user asks about Navi Protocol, Navi lending, Navi borrowing, or wants to integrate with Navi on Sui. Covers lending markets, reserves, obligations, price feeds, and reward distribution.
fine-tuning
by pluginagentmarketplace
LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.
Constitutional AI
by Coowoolf
105 Product Management Skills extracted from Lenny's Podcast - For use with Claude Code / Cursor / Windsurf
evaluating-skills-with-models
by taisukeoe
Evaluate skills by executing them across sonnet, opus, and haiku models using sub-agents. Use when testing if a skill works correctly, comparing model performance, or finding the cheapest compatible model. Returns numeric scores (0-100) to differentiate model capabilities.
data-poisoning
by pluginagentmarketplace
Test AI training pipelines for data poisoning vulnerabilities and backdoor injection
ai-model-cascade
by vishalsachdev
A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating AI/LLM APIs, need automatic fallback when models are overloaded, want type-safe structured responses, or building features requiring reliable AI generation.
codex-cli
by rafaelcalleja
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
three-layer-agent-stack
by Coowoolf
Use when building AI-powered products or agents, when raw model intelligence isn't enough to solve user problems, or when designing the architecture for agentic workflows
replicate-daemon
by fast-gateway-protocol
Fast Replicate model inference via FGP daemon. Use when user needs to run ML models (image generation, LLMs, audio processing, video generation) on Replicate. Triggers on "replicate run", "run model replicate", "stable diffusion", "SDXL", "replicate llama", "whisper replicate".
Hierarchy of Marketplaces
by Coowoolf
A roadmap for marketplace domination. Level 1: Focus on a "thimble" to maximize Happy GMV. Level 2: Tip the market via growth loops. Level 3: Dominate to capture economic rents. Not all GMV is equal.
Google ADK Python Skill
by wollfoo
Remember: ADK treats agent development like traditional software engineering - use version control, write tests, and follow engineering best practices.
benchmark-datasets
by pluginagentmarketplace
Standard datasets and benchmarks for evaluating AI security, robustness, and safety
ai-teammate-model
by Coowoolf
Use when designing AI agent products, defining roadmaps for agentic workflows, or evaluating how to evolve AI from passive tool to proactive partner in software development
model-deployment
by pluginagentmarketplace
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
aws-bedrock-evals
by antstackio
Build and run LLM-as-judge evaluation pipelines using Amazon Bedrock Evaluation Jobs with pre-computed inference datasets. Use when setting up automated model evaluation, designing test scenarios, collecting pre-computed responses, configuring custom metrics, creating AWS infrastructure, running evaluation jobs, parsing results, and iterating on findings.
gamification-triad
by Coowoolf
Use when designing retention mechanisms, habit loops, or auditing why users drop off despite engaging with core features, to structure gamification beyond superficial badges
historian-decision-model
by Coowoolf
Use when joining a new company, taking over legacy products, or proposing strategies that were previously attempted to avoid repeating past mistakes
claude-command-example-plugin-example-command
by monkey1sai
Converted from Claude plugin command "example-command" (example-plugin).
subagent-configuration
by rafaelcalleja
This skill should be used when the user asks to "configure a subagent", "create a custom agent", "set up agent tools", "configure permissionMode", "add agent skills", or mentions subagent fields like tools, model, or permissionMode. Provides comprehensive guidance on subagent configuration options and best practices.
XState v5 Expert Skill
by boneskull
Expert guidance for implementing and analyzing XState v5 state machines with TypeScript support and best practices
avoid-unnecessary-type-params
by marius-townhouse
Use when writing generic functions or types. Use when reviewing type signatures. Use when a type parameter only appears once. Use when tempted to add generics for "flexibility".
huggingface-daemon
by fast-gateway-protocol
Fast Hugging Face Inference API via FGP daemon. Use when user needs text generation, embeddings, classification, image captioning, or model inference. Triggers on "huggingface inference", "generate text", "get embeddings", "classify text", "hugging face", "HF model", "zero-shot".