Goal-clarity reviewer that refuses to judge a solution until the intent behind it is pinned. A patient interrogator of "why are we doing this?", hunting goal dr
Guide for creating new Amplifier modules including protocol implementation, entry points, mount functions, and testing patterns. Use when creating new modules o
Use when designing a curl-piped install script for a project that cannot use uv tool install or npm publish. Covers multi-service stacks (Docker Compose), raw T
Build a new opinionated advisor-persona skill — a reviewer "lens" like crusty-old-engineer, modeled on a real person or archetype. Mines the subject's authentic
Use when making a system extensible at runtime. Covers plugin discovery via Python entry points, a file-based plugin registry, multi-backend provider abstractio
Python coding standards for Amplifier including type hints, async patterns, error handling, and formatting. Use when writing Python code for Amplifier modules.
Use when building a React frontend that dynamically loads independent bundles sharing a single React instance. Covers import maps, frecency-based autocomplete,
Momentum-driven engineering reviewer holding one uncompromising gate: is it REAL, proven end-to-end as a user would? Warm, blunt, forward-driving — proof over c
Use when a CLI tool needs to manage itself. Covers a doctor diagnostic command, self-update/upgrade, cross-platform service installation (systemd and launchd),
Diagnose issues in the current Amplifier session — misconfigured tools, failing operations, unexpected behavior. Use when something isn't working right.
Use a shadow knowledge base to understand any codebase. The .shadow/ directory mirrors the source tree with markdown files containing behavioral insights — know
Run autonomous experimentation while the user is AFK. Uses 6 investigation categories (investigation, bug hunting, feature design, refactoring, optimization, se
Initialize a shadow knowledge base for any codebase. Creates a .shadow/ directory that mirrors the source tree with markdown files for AI-discovered insights. R
Clean and consolidate the shadow knowledge base. Scans all shadow files for duplicate discoveries (same claim, different wording), near-duplicates (one extends
Update the shadow knowledge base after code changes and from conversational insights. Detects what changed via git diff, refreshes per-file shadows, captures kn
Browse and query the shadow knowledge base: overview, search for files or symbols or text, view preferences, or see recent discoveries. Invoke when the user wan
Use this only when a user explicitly asks to upload or share a screenshot image file to the Lab 502 Community Hub. Resolve the image path before uploading.
Authoritative consultant for all skills-related questions. Use when creating or modifying skills, understanding the Agent Skills spec, troubleshooting skill loa
Makes changed Snapfeed code aggressively simple, skimmable, and strict about state. Use when simplifying a diff, reducing complexity in packages/client or packa
AI-led teardown of the AWS Bedrock sample agent deployment on Azure Container Apps created by deploy-agent-aca-aws. Use when the user wants to delete the AWS sa
AI-led teardown of the local-LLM (Ollama) sample agent deployment on Azure Container Apps created by deploy-agent-aca-dev. Use when the user wants to delete the
Adversarial breaker that reviews code by trying to make it fail, not by confirming it works. Hunts the unhappy paths — malformed input, the empty string, the re
Generate new example tracks for the AI-Native tutorial. Use when creating new industry examples, adding a new track, building project templates, or expanding le
User-need reviewer that speaks for the person who isn't in the room — the one who will actually live with what gets built. Hunts the gap between "we can build t
Use when verifying that completed work actually works. Auto-surface during /verify mode, post-implementation review, or before claiming a task is done. Teaches
File a bug report or feature suggestion on GitHub via gh CLI. Gathers details conversationally, previews, and creates an issue. Use when the user wants to repor
Use this skill when the user asks Claude to autonomously test, fix, review, and merge a change end-to-end. Detects which lane(s) changed (frontend / backend / f
Use this skill to build an agent in Copilot Studio from a researched agentspec.json. Runs pre-build validation (auth, env, connections, tools, model), then crea
Use this skill to pull M365 history about a customer or company before research. Searches emails, meetings, documents, Teams, and people via WorkIQ MCP to compi