ML Ops
Machine learning operations
fal-serverless-guide
by JosiahSiegel
Complete fal.ai serverless deployment system. PROACTIVELY activate for: (1) Creating fal.App class, (2) GPU machine selection (T4/A10G/A100/H100), (3) setup() for model loading, (4) @fal.endpoint decorators, (5) Persistent volumes for weights, (6) Secrets management, (7) Scaling configuration (min/max concurrency), (8) Multi-GPU deployment, (9) fal deploy commands, (10) Local development with fal run. Provides: App structure, Dockerfile patterns, deployment commands, scaling config. Ensures production-ready serverless ML deployment.
3d-model-generation
by openclaw
Generate 3D models using each::sense AI. Create 3D assets from text or images for games, products, architecture, characters, vehicles, and more with PBR textures.
tls-inspect
by openclaw
pipeline-mcp.yaml MCP server pipeline
Audio Transcription Skill
by openclaw
SKILL.md â This file
fal-optimization
by JosiahSiegel
Complete fal.ai optimization system. PROACTIVELY activate for: (1) Queue vs run performance, (2) Parallel request batching, (3) Streaming for real-time UI, (4) WebSocket for interactive apps, (5) Model cost comparison, (6) Image size optimization, (7) Inference step tuning, (8) Webhook vs polling, (9) Result caching by seed, (10) Serverless scaling config. Provides: Parallel patterns, cost strategies, caching examples, monitoring setup. Ensures optimal performance and cost-effective usage.
fal-model-guide
by JosiahSiegel
Complete fal.ai model selection system. PROACTIVELY activate for: (1) Choosing image generation models (FLUX, SDXL), (2) Choosing video models (Kling, Sora, LTX), (3) Choosing audio models (Whisper, ElevenLabs), (4) Model quality vs speed comparison, (5) Cost optimization by model tier, (6) 3D generation models, (7) Model-specific parameters, (8) Development vs production model selection. Provides: Model comparison tables, decision trees, pricing tiers, performance benchmarks. Ensures optimal model selection for quality, speed, and cost.
docs-pipeline-automation
by openclaw
Build repeatable data-to-Docs pipelines from Sheets and Drive sources. Use for automated status reports, template-based document assembly, and scheduled publishing workflows.
cve-scan
by openclaw
pipeline-mcp.yaml MCP server pipeline
adf-validation-rules
by JosiahSiegel
Comprehensive Azure Data Factory validation rules, activity nesting limitations, linked service requirements, and edge-case handling guidance
azure-openai-2025
by JosiahSiegel
Azure OpenAI Service 2025 models including GPT-5, GPT-4.1, reasoning models, and Azure AI Foundry integration
CRO Revenue Operations
by openclaw
All versions of all skills that are on clawhub.com archived
eachlabs-voice-audio
by openclaw
Text-to-speech, speech-to-text, voice conversion, and audio processing using EachLabs AI models. Supports ElevenLabs TTS, Whisper transcription with diarization, and RVC voice conversion. Use when the user needs TTS, transcription, or voice conversion.
aimlapi-llm-reasoning
by openclaw
Run AIMLAPI LLM and reasoning workflows through chat completions with retries, structured outputs, and explicit User-Agent headers. Use when Codex needs scripted prompting/reasoning calls against AIMLAPI models.
founder-coach
by openclaw
AI-powered startup mindset coach that helps founders upgrade their thinking patterns, track mental model progress, and set weekly challenges. Use when: - User is a startup founder seeking to improve their entrepreneurial mindset - User wants to detect and overcome low-level thinking patterns - User needs guidance on applying mental models (PMF, 4Ps, NFX frameworks) - User wants to set and track weekly challenges - User requests a weekly progress report - User is discussing startup challenges and needs Socratic questioning
complete-skill
by parcadei
A complete skill for E2E testing
mcp-chaining
by parcadei
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
domain-driven-design
by joaquimscosta
Expert guidance for Domain-Driven Design architecture and implementation. Use when designing complex business systems, defining bounded contexts, structuring domain models, choosing between modular monolith vs microservices, implementing aggregates/entities/value objects, or when users mention "DDD", "domain-driven design", "bounded context", "aggregate", "domain model", "ubiquitous language", "event storming", "context mapping", "domain events", "anemic domain model", strategic design, tactical patterns, or domain modeling. Helps make architectural decisions, identify subdomains, design aggregates, and avoid common DDD pitfalls.
FAL Video Skill
by idanbeck
#video #ai #fal #kling #luma #film
writing-style
by stevenmays
Write in Steven's voice—pragmatic, curious, pedagogical. Opens with measurable payoffs, builds mental models from first principles, uses worked examples, and handles uncertainty honestly. Use for essays, blog posts, and technical articles.
fairchem
by jkitchin
Expert guidance for Meta's FAIRChem library - machine learning methods for materials science and quantum chemistry using pretrained UMA models with ASE integration for fast, accurate predictions
tinybird-typescript-sdk-guidelines
by tinybirdco
Tinybird TypeScript SDK for defining datasources, pipes, and queries with full type inference. Use when working with @tinybirdco/sdk, TypeScript Tinybird projects, or type-safe data ingestion and queries.
mlops-engineer
by olehsvyrydov
Senior MLOps Engineer with 8+ years ML systems experience. Use when integrating LLM APIs (Gemini, OpenAI, Groq), building AI pipelines, managing prompts, setting up model serving, implementing AI cost optimization, or building training data pipelines.
starwave:smolspec
by ArjenSchwarz
Small Spec (Smolspec) - Lightweight Specification for Minor Changes
next-task
by ArjenSchwarz
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