analyze-with-file
Interactive collaborative analysis with documented discussions, inline exploration, and evolving understanding. Serial execution with no agent delegation.
fastify-best-practices
Guides development of Fastify Node.js backend servers and REST APIs using TypeScript or JavaScript. Use when building, configuring, or debugging a Fastify application â including defining routes, implementing plugins, setting up JSON Schema validation, handling errors, optimising performance, managing authentication, configuring CORS and security headers, integrating databases, working with WebSockets, and deploying to production. Covers the full Fastify request lifecycle (hooks, serialization, logging with Pino) and TypeScript integration via strip types. Trigger terms: Fastify, Node.js server, REST API, API routes, backend framework, fastify.config, server.ts, app.ts.
robot-bringup
Patterns and best practices for bringing up a complete ROS2-based robotics system on a robot's onboard computer, including systemd services, launch file composition, ordered startup, and production monitoring. Use this skill when configuring a robot to start ROS2 nodes on boot, writing systemd unit files for ROS2 launch, composing layered launch files for full robot stacks, setting up watchdog monitoring, configuring udev rules for deterministic device naming, or debugging boot-time race conditions. Trigger whenever the user mentions robot bringup, robot startup, systemd for ROS2, ROS2 on boot, launch file composition, robot boot sequence, udev rules for cameras or serial ports, watchdog for robot systems, automatic restart for ROS2 nodes, network configuration for multi-machine ROS2, log rotation for robots, graceful shutdown of robot stacks, or SSH-based remote debugging of robots. Also trigger for environment setup in systemd (sourcing workspaces), ordered startup with health checks, deterministic device naming, or any discussion of running ROS2 systems as long-running production services. Covers systemd on Ubuntu 22.04/24.04 with ROS2 Humble, Iron, and Jazzy.
Arduino MCP Server
Arduino MCP server for CLI setup, board detection, compile/upload, serial monitoring, and pin refs.
Io.Github.Es617/Serial Mcp Server
Let AI agents interact with serial devices — list ports, connect, send, and read.
Arduino MCP Server
Arduino MCP server for CLI setup, board detection, compile/upload, serial monitoring, and pin refs.
diagnose
Analyze error logs from QEMU output, serial monitor, CI pipelines, or build failures. This skill should automatically activate when the user pastes terminal output containing error messages, stack traces, build failures, boot logs, or CI job output.
analyzing-dotnet-performance
Scans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing hot paths, or auditing allocation-heavy patterns.
cai-causal-graph
Define, manipulate, and serialize causal graph structures (DAG, CPDAG, MAG, PAG) using cai-causal-graph. Provides CausalGraph, Node, Edge, Skeleton classes with variable type support (CONTINUOUS, BINARY, MULTICLASS, ORDINAL). Use when user imports from cai_causal_graph, works with causal graphs, needs graph conversion (NetworkX, adjacency matrix, dict), or mentions DAG/CPDAG/PAG/MAG representations. Do NOT trigger for graph neural networks or knowledge graphs unrelated to causality.
dedup-openai
Suppress generated Java classes that duplicate openai-java models, using @@alternateType in TypeSpec and manual serialization bridges. Use after dup-classes has identified actionable duplicates.
codegen
Code generation utilities for json-render. Use when generating code from UI specs, building custom code exporters, traversing specs, or serializing props for @json-render/codegen.