GitHub
stripe-stack
Stripe integration patterns for Next.js + Supabase - payments, subscriptions, webhooks, credit systems, checkout. Use when: stripe, payments, billing, subscription, webhook, checkout, add payments to project.
☆ 1View skill
ScientiaCapital AI Skills
GitHub ↗Browse published AI skills maintained by ScientiaCapital. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
40Repository stars across indexed skills
39Repository forks
0Average repository stars per indexed skill
1Repository stars may repeat across skills from the same repository.
Popular categories
Recent indexing activity
Browse skills
GitHub
workflow-orchestrator
Project workflow system - cost tracking, parallel execution, security gates, agent orchestration. Use when: start day, begin session, status check, new feature, build, implement, end day, wrap up, debug, invest...
☆ 1View skill
GitHub
project-context
Maintains project context and progress tracking across Claude sessions. Use at session start to load context, on session end to save progress. Triggers: "load project context", "save context", "end session", "w...
☆ 1View skill
GitHub
runpod-deployment
Deploy GPU workloads to RunPod serverless and pods - vLLM endpoints, A100/H100 setup, scale-to-zero, cost optimization. Use when: deploy to RunPod, GPU serverless, vLLM endpoint, scale to zero, A100 deployment,...
☆ 1View skill
GitHub
unsloth-finetuning
Fine-tune LLMs 2x faster with 80% less memory using Unsloth. Use when the user wants to fine-tune models like Llama, Mistral, Phi, or Gemma. Handles model loading, LoRA configuration, training, and model export...
☆ 1View skill
GitHub
superbpe
Train and use SuperBPE tokenizers for 20-33% token reduction across any project. Covers training, optimization, validation, and integration with any LLM framework. Use when you need efficient tokenization, want...
☆ 1View skill
GitHub
unsloth-tokenizer
Analyze, compare, and work with tokenizers using Unsloth tools. Compare different tokenizers, analyze token efficiency, and integrate with Unsloth models. For SuperBPE training, see the 'superbpe' skill.
☆ 1View skill
GitHub
unsloth-mcp-server
Work with the Unsloth MCP Server codebase. Use when maintaining, extending, or debugging this specific MCP server implementation. Provides architecture knowledge, code patterns, and development workflows.
☆ 1View skill
GitHub
training-optimization
Advanced techniques for optimizing LLM fine-tuning. Covers learning rates, LoRA configuration, batch sizes, gradient strategies, hyperparameter tuning, and monitoring. Use when fine-tuning models for best perfo...
☆ 1View skill
GitHub
model-deployment
Export and deploy fine-tuned models to production. Covers GGUF/Ollama, vLLM, HuggingFace Hub, Docker, quantization, and platform selection. Use after fine-tuning when you need to deploy models efficiently.
☆ 1View skill
GitHub
adaptive-workflows
Self-learning workflow system that tracks what works best for your use cases. Records experiment results, suggests optimizations, creates custom templates, and builds a personal knowledge base. Use to learn fro...
☆ 1View skill
GitHub
dataset-engineering
Create, clean, and optimize datasets for LLM fine-tuning. Covers formats (Alpaca, ShareGPT, ChatML), synthetic data generation, quality assessment, and augmentation. Use when preparing data for training.
☆ 1View skill
GitHub
deployment-patterns
Deploy projects to Vercel, Railway, or Docker with platform-specific best practices. Use when deploying applications, configuring deployment settings, debugging deployment failures, or setting up CI/CD pipeline...
☆ 0View skill
GitHub
supabase-mastery
Master Supabase patterns for migrations, RLS policies, pgvector, and authentication. Use when creating database schemas, writing migrations, implementing row-level security, setting up auth, or debugging Supaba...
☆ 0View skill
GitHub
cost-optimized-llm
Implement cost-optimized LLM routing with NO OpenAI. Use tiered model selection (DeepSeek, Haiku, Sonnet) to achieve 70-90% cost savings. Triggers on "LLM costs", "model selection", "cost optimization", "which...
☆ 0View skill
GitHub
revenue-acceleration
GTM workflows for revenue acceleration across Scientia projects. Use for demo preparation, sales outreach, battle cards, pricing strategy, and revenue tracking. Triggers on "revenue focus", "prepare demo", "sal...
☆ 0View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.