mcp-chaining
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
rag-patterns
Chunking strategies, embedding model selection, hybrid search, reranking, eval metrics
skill-upgrader
Upgrade any skill to v5 Hybrid format using decision theory + modal logic
smart-model-routing
Dynamic model selection based on task complexity scoring. Replaces static model mappings with a weighted signal system that picks Opus, Sonnet, or Haiku-class speed per task. Works with agent-assignment-matrix.md.
test-locomotion
Test locomotion system (slide, snap turn, teleport, jump) against the locomotion example using the iwsdk CLI.
test-physics
Test Havok physics system (gravity, rigid bodies, static vs dynamic) against the physics example using the iwsdk CLI.
client-pricing
Commercial pricing engine for freelance deliverables. Encodes the pricing hierarchy, tiered anchor-floor tables, negotiation decision tree, and rate collapse prevention.
decision-journal
Unified decision lifecycle: Pre-decision logging, post-decision review, failure classification, and calibration tracking. Absorbs: post-mortem-engine.
skill-lean-implementation
Implement Lean 4 proofs and definitions using lean-lsp tools. Invoke for Lean-language implementation tasks.
skill-lean-research
Research Lean 4 and Mathlib for theorem proving tasks. Invoke for Lean-language research using LeanSearch, Loogle, and lean-lsp tools.
review-semantic-model
Review, audit, and validate Power BI semantic models against quality, performance, and best practice standards. Automatically invoke when the user asks to "review a semantic model", "audit a semantic model", "check model quality", "optimize my model", "validate model design", "check AI readiness", "prepare model for Copilot", or mentions model validation or quality assessment.
skill-creator
Autonomously create, test, and optimize skills by detecting reusable patterns in your own work. Use when you notice repeated tool sequences, recurring code patterns across attempts, or insights that should be captured as a packaged skill. Also use to benchmark and iterate on existing skills.
lead-qualification
Lead qualification engine with conversational intake. Asks structured questions to understand your qualification criteria, generates a reusable qualification prompt, then batch-enriches leads via Apify LinkedIn scraping and scores them with parallel processing. Outputs qualified/disqualified verdicts with confidence scores and reasoning to CSV or whatever output format the user prefers. Supports calibration mode for prompt refinement.
red-team-tools-and-methodology
This skill should be used when the user asks to "follow red team methodology", "perform bug bounty hunting", "automate reconnaissance", "hunt for XSS vulnerabilities", "enumerate subdomains", or needs security researcher techniques and tool configurations from top bug bounty hunters.
haskell-pro
Expert Haskell engineer specializing in advanced type systems, pure functional design, and high-reliability software. Use PROACTIVELY for type-level programming, concurrency, and architecture guidance.
ml-pipeline-workflow
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
mlops-engineer
Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. Implements automated training, deployment, and monitoring across cloud platforms. Use PROACTIVELY for ML infrastructure, experiment management, or pipeline automation.
rag-engineer
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, vector search, embeddings, semantic search, document retrieval.
vector-index-tuning
Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
