ScientiaCapital

Map task types to the best agent, skill, model, and fallback. Route any task to the right tool. Use when: which agent, route task, agent for this, best agent, capability matrix.

Orchestrate teams of parallel Claude Code sessions working on the same codebase. Handles task decomposition, agent coordination, context isolation, and merge strategies. Builds on worktree-manager for infrastructure.

REST/GraphQL API design patterns - resource naming, HTTP methods, error handling, pagination, versioning. Use when: design API, REST endpoints, GraphQL schema, error responses, pagination, rate limiting, API documentation.

Tool-based API testing with Postman and Bruno - collections, environments, test assertions, CI integration. Use when: postman, bruno, API testing, test API endpoint, API collection, HTTP request testing, endpoint validation.

Blue Ocean Strategy analysis using ERRC framework and Strategy Canvas. Use when: blue ocean, market differentiation, competitive strategy, value innovation, ERRC framework, strategy canvas, new market space, competitive analysis.

Business model design using Alexander Osterwalder's 9 building blocks. Use when: business model, canvas, value proposition, customer segments, revenue streams, startup planning, analyze business, business strategy.

Daily callable lead inventory with ATL/BTL breakdown. Health check for 50+ daily dials.

The Challenger Sale methodology — Teach-Tailor-Take Control framework for B2B sales. Use when: challenger sale, commercial teaching, constructive tension, reframe, teach tailor take control, insight selling, commercial insight, challenger rep.

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 from experience and optimize your LLM workflows over time.

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.

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.

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 performance.

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 to reduce API costs, or maximize context windows.

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.

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.

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.

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 model", "DeepSeek", "Claude pricing", "reduce AI costs".

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 pipelines. Triggers on "deploy to vercel", "railway deployment", "docker build", "deployment failed", "configure vercel.json".

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", "sales outreach", "battle card", "GTM strategy", "pricing", "tier-1 projects".

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 Supabase issues. Triggers on "supabase migration", "RLS policy", "row level security", "pgvector", "supabase auth", "magic link".

Generate new Claude Skills for the Dual-Domain LLM Platform using natural language. Use when the user wants to create a new skill, automate a workflow, or build team capabilities. Activates when user mentions "create a skill", "new skill", "skill for", or "automate [task]".