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Humanized AI Studio Images

ai-studio-image

sickn33/antigravity-awesome-skills

Generates humanized influencer-style or educational photos via Google AI Studio Gemini, using a prompt‑engine pipeline to inject natural lighting, subtle imperfections, and authentic context before calling the image API.

Real-Time Multimodal Pipeline

sickn33/antigravity-awesome-skills

Documentation for the Pipecat-powered Daily framework that guides agents through building production-ready real-time voice and multimodal AI pipelines, covering low-latency audio/video/text flows, transport choices, LLM/tool orchestration, and turn/context management.

Structured Output Extraction

llm-structured-output

sickn33/antigravity-awesome-skills

Teaches how to steer OpenAI, Anthropic, Google, and local LLMs into emitting validated JSON/enums by defining strict schemas, prompting for data extraction, handling validation failures, and building retry/logging pipelines.

Idea Discovery Pipeline

wanshuiyin/Auto-claude-code-research-in-sleep

Orchestrates research-lit → idea-creator → novelty-check → research-review so you can go from a broad research direction to validated, pilot-tested ideas, complete with ranked IDEA_REPORT, research brief handling, and experiment planning.

Autonomous Research Pipeline

research-pipeline

wanshuiyin/Auto-claude-code-research-in-sleep

Orchestrates idea discovery, implementation, scaling experiments, and autonomous review loops into a single pipeline that builds and iterates toward submission-ready research.

Hard Predict Future

hard-predict-future

davepoon/buildwithclaude

A foresight agent that runs a rigorous 12-step pipeline combining Claude’s qualitative intelligence with Python’s deterministic arithmetic to analyze high-stakes future scenarios, infer reasonable horizons, and surface quantitative signals for prediction requests.

Foresight Activation Guide

soft-predict-future

davepoon/buildwithclaude

Soft Predict Future is a structured foresight engine that triggers whenever the user asks about future outcomes or scenarios. It enforces a nine-step analytical pipeline (validation, signal collection, scoring, driver extraction, etc.), highlights required searches and inputs, and directs the user to web-enabled reasoning for predictive analysis.

PyTorch Training Patterns

pytorch-patterns

affaan-m/everything-claude-code

Provides PyTorch idioms and best practices for building reproducible, efficient training loops, model modules, and data pipelines across devices.

AuraKit Development Engine

davepoon/buildwithclaude

AuraKit converts a single /aura command into a secure full-stack Claude pipeline with 34 modes, OWASP SEC-01~15 safeguards, runtime hooks, tiered models, token savings, and multilingual reviewers.

Transformers.js JavaScript Models

transformers-js

sickn33/antigravity-awesome-skills

Run Hugging Face models in JavaScript or TypeScript with Transformers.js, executing NLP, vision, or multimodal pipelines directly in Node.js or browsers while optionally leveraging WebGPU and quantized variants for client-side inference without a backend.

LLM Cost Optimizer

llm-cost-optimizer

alirezarezvani/claude-skills

LLM Cost Optimizer audits and redesigns LLM pipelines to cut API spend 40-80% without quality loss by routing workloads, caching prompts, controlling lengths, and monitoring token costs.

Kanban AI Pipeline

sickn33/antigravity-awesome-skills

Turns your existing Kanban board into an autonomous AI-driven development pipeline, coordinating Claude Code workers, deterministic gates, cost tracking, and crash-proof orchestration for full lifecycle work.

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