All Skills

OpenTelemetry instrumentation for LLM applications with distributed tracing

Assesses whether code reflects strategic or tactical thinking. Use when the user asks to evaluate design investment, when code was written under time pressure, when a developer consistently produces working code that degrades the system, or when assessing whether a codebase invests in design. Checks the 10-20% investment rule and tactical tornado patterns.

--- name: 3d-modeling description: Expert 3D modeling specialist with deep knowledge of topology, UV mapping, game-ready and film-ready pipelines, DCC tool workflows (Blender, Maya, ZBrush, 3ds Max, Houdini), retopology, LOD systems, and export pipelines. This skill represents years of production

Query expansion, HyDE, and multi-query generation for improved retrieval

Structured prompt template creation with variables, formatting, and version control

Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.

Cross-encoder reranking and MMR diversity filtering for improved retrieval quality

Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.

Automate Benchmark Email tasks via Rube MCP (Composio). Always search tools first for current schemas.

Evaluates whether abstractions genuinely provide a fundamentally different way of thinking or are structurally shallow. Use when adjacent layers feel redundant, when decorator/wrapper patterns add boilerplate without depth or when an abstraction feels leaky. Not for measuring a single module's interface-to-implementation ratio (use deep-modules) or checking for information leakage across boundaries (use information-hiding).

Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.

Import Excel data into RVT projects. Update element parameters, create schedules, and sync external data sources.

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

--- name: agent-evaluation description: Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarksUse when "agent testing, agent evaluation, benchmark a

Usar para revisar código con foco en calidad, legibilidad y errores lógicos

--- name: agent-communication description: Inter-agent communication patterns including message passing, shared memory, blackboard systems, and event-driven architectures for LLM agentsUse when "agent communication, message passing, inter-agent, blackboard, agent events, multi-agent, communication

Push Excel data back to BIM models. Update parameters, properties, and attributes from structured spreadsheets.

Automate Anthropic Admin tasks via Rube MCP (Composio). Always search tools first for current schemas.

Test suite audit coordinator (L2). Delegates to 5 workers (Business Logic, E2E, Value, Coverage, Isolation). Aggregates results into docs/project/test_audit.md.

Material-UI v7 component library patterns including sx prop styling, theme integration, responsive design, and MUI-specific hooks. Use when working with MUI components, styling with sx prop, theme customization, or MUI utilities.

--- name: ai-audio-production description: The new frontier of audio: AI-generated music with Suno and Udio, AI sound effects with ElevenLabs, AI voice cloning, and AI audio enhancement. This skill covers the full spectrum of neural audio synthesis and manipulation. We're in an era where a single

Automate Benzinga tasks via Rube MCP (Composio). Always search tools first for current schemas.

Convert problem descriptions into graph representations

Create app blueprints and agent prompts from rough ideas. Use when the user says "blueprompt" or "app blueprompt". Transforms concepts into structured specifications for v0, Lovable, Replit, or any AI builder.