Delegates knowledge bank lookups to Explore subagents with reflections-first strategy that learns from past mistakes. Checks /reflections/ directory before documentation to extract documented failures to avoid and proven approaches to apply. Automatically triggers when user mentions services ([project-a], [project-b], [project-c], Claude Code), requests investigations, or queries past lessons. Returns structured, actionable insights achieving 69-94% context reduction. (project, gitignored)

Comprehensive project design and ideation skill for AI/ML and web/mobile applications. Use when users present initial project ideas that need enhancement, architectural guidance, technology stack recommendations, feature expansion, or implementation strategy. Triggers include requests like "help me design a [project type]", "I want to build [concept] but need to flesh out the idea", "what features should I add to [project]", "recommend a tech stack for [idea]", or "enhance my project concept". Provides structured design thinking, architectural patterns, feature frameworks, and technology recommendations through progressive disclosure of specialized reference materials.

Use for LARGE work requiring feature-level grouping. Creates epic tracking issues, manages related issues under a common label, tracks epic progress, and coordinates with milestones.

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.

Configure MCP session defaults for different project components

This skill retrieves and displays work items assigned to the user in Azure DevOps, organized by type and sorted by recently changed. It prompts for a project name or lists available projects if not provided, then fetches work item details and displays them in a formatted table with clickable links.

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

Create a new packet analyzer for Minecraft Bedrock logs. Generates template code, provides documentation links, and guides testing workflow.

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

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.

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.

SQLite disaster recovery and streaming replication to cloud storage (S3, GCS, Azure, SFTP, NATS). Use this skill for configuring Litestream, deploying to cloud platforms, troubleshooting WAL replication issues, implementing point-in-time recovery, and setting up VFS read replicas.

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.

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

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).

alias:: [[Claude Code Skills]]

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.

Example skill demonstrating embedded hooks for validation and logging

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

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