Staged test organization and testing guidelines for Mycelia

Guide for implementing Claude Code hooks - automated scripts that execute at specific workflow points. Use when building hooks, understanding hook events, or troubleshooting hook configuration.

Opinionated guide for building dApps on Arbitrum using Stylus (Rust) and/or Solidity. Covers local devnode setup, contract development, testing, deployment, and React frontend integration with viem. Use when starting a new Arbitrum project, writing Stylus or Solidity contracts, deploying to Arbitrum, or building a frontend that interacts with Arbitrum contracts.

Container-based development for isolated, reproducible environments. Use when running npm commands, installing packages, executing code, or managing project dependencies. Trigger phrases include "npm install", "run the build", "start the server", "install package", or any code execution request.

Use when setting up DocC documentation for a Swift package, deploying to GitHub Pages, or encountering "no such module 'UIKit'" during doc generation

Start the agent chatroom for real-time coordination between parallel agents. Use when spawning multiple agents that need to communicate or when you want to monitor agent activity.

Use when releasing a new plugin version, bumping versions, creating git tags, or publishing GitHub releases for this marketplace

Synthesizes all pipeline handoffs into a single human-readable project brief. Use when user says "generate docs", "create documentation", "document the project", or after validation passes. Do NOT use for deployment (use fabric-deploy) or architecture design (use fabric-design).

This skill should be used when the user asks to "create an esphome config", "set up an esp32 device", "configure esphome yaml", "add a sensor to esphome", "fix esphome compile error", or mentions "gpio pin assignment", "wifi setup", "ota update", or error messages like "Unknown platform", "GPIO already in use", "Could not compile", or "WiFi connection failed". Provides rapid ESPHome configuration generation, troubleshooting, and validation.

Summarize a single Azure DevOps work item (and its links and comments) by ID.

Use when encountering Swift 6 concurrency errors, Sendable conformance warnings, actor isolation issues, "global variable is not concurrency-safe" errors, or migrating codebases to Swift 6 language mode

Use when writing or enhancing Swift documentation comments for DocC generation, adding inline doc comments to Swift source files, or when user asks for API documentation

Use when creating demo GIFs for Swift package READMEs, recording iOS simulator videos, or setting up demo apps for SwiftUI libraries

Python coding standards for Amplifier including type hints, async patterns, error handling, and formatting. Use when writing Python code for Amplifier modules.

List, inspect, and troubleshoot Azure DevOps pipeline builds. Shows recent builds for a pipeline definition, drills into a specific build's status and result, displays logs for failed steps, and lists the changes associated with a build.

The Engineer skill — deploys Fabric items in dependency-ordered waves and remediates issues found during validation. Use when user says "deploy", "create items", "run deployment", "fix deployment issues", "remediate", or after user sign-off is complete. Do NOT use for design (use fabric-design) or testing (use fabric-test).

Build and debug Pydantic AI agents using best practices for dependencies, dynamic system prompts, tools, and structured output validation. Use when the user wants to: (1) Create a new Pydantic AI agent, (2) Debug or fix an existing agent, (3) Add features like tools, validators, or dynamic prompts, (4) Integrate OpenRouter for multi-model access, (5) Add Logfire for debugging/observability, (6) Structure agent architecture with dependency injection.

Run a live Looper-Go smoke test by creating a temporary project (PROJECT.md + to-do.json), executing looper for one iteration, observing output, and reporting results. Use when verifying looper-go behavior or demonstrating a live run.

Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user wants to: (1) Create evaluation datasets with test cases for AI agents, (2) Define evaluators (deterministic, LLM-as-Judge, custom, or span-based), (3) Run evaluations and generate reports, (4) Compare model performance across experiments, (5) Integrate evaluations with Pydantic AI agents, (6) Set up observability with Logfire, (7) Generate test datasets using LLMs, (8) Implement regression testing for AI systems.

Self-healing skill that improves signal mapper keyword coverage through iterative problem generation and keyword patching. Use when user says "heal signal mapper", "improve keyword coverage", "generate problem statements", "run healing loop", "patch signal mapper", or asks about "signal mapper gaps". Do NOT use for project architecture or deployment.