CopilotTraining

Review an exec-talk's README and produce an exec.recipe.yml. Uses a 3-agent collaborative council to analyze section weighting, executive audience fit, narrative arc, and action clarity. Always overwrites any existing recipe. Triggers: "review the talk", "create the recipe", "is this landing for execs", "section weighting", "coverage gap", "recipe", "executive framing".

Review a tech-talk's README and produce a deck.recipe.yml. Uses a 3-agent collaborative council to analyze section weighting, narrative arc, and coverage gaps. Always overwrites any existing recipe. Triggers: "review the talk", "create the recipe", "is this the best use of our time", "section weighting", "coverage gap", "recipe".

Read from and write to the Workbench project memory store. Use when starting complex content work (query for prior context) or finishing a session that changed content (record drawer entries). Never invoke during agent pre-flight gates.

Add persona-grounded audience framing to a tech-talk. Selects 2–3 relevant personas, adds a "Who This Hits" box and up to 3 reaction lines to the README, and adds persona speaker notes to the slide deck. Triggers: "add personas", "who this hits", "persona reactions", "audience framing".

Use this skill when asked to verify, validate, fact-check, or review any data entry, lore fact, character bio, episode record, quote, or show content for accuracy against canonical project sources and the live database. Triggers on: check data, verify data, fact-check, accuracy check, data accuracy, check entry, verify entry, review accuracy, is this accurate, canon check, lore check, check this data, verify this, review this entry, check for errors, validate data, is this right, is this canon.

Use this skill when asked to verify, validate, or fact-check a lore entry, character description, seed data record, or any Breaking Bad content against the canonical reference in docs/breaking-bad-universe.md. Triggers on: check lore, verify lore, fact-check, canon check, lore accuracy, is this correct, seed data accuracy.

Use this skill when asked to add a new entity type with a card grid page to FanHub. It scaffolds the full stack: backend model, DbContext registration, seed data, EF Core migration, REST controller (GET + POST), frontend model, homepage stat card + nav-card, and a Blazor list page with an inline add form.

Fast validation of Slidev deck changes. Correct invocation, output interpretation, and common issues.

Use when a task needs multi-model perspectives, brainstorming, or stress-testing. Supports two modes: collaborative (default — agents build on each other's ideas) and adversarial (agents debate to find the strongest answer). Triggers: council, siege, swarm, multi-agent, debate, brainstorm.

Reads a module's README.md, identifies missing exercise files from the planning table, and creates standalone exercise files using TEMPLATE.md format. Use when exercises are planned but not yet implemented as individual files.

Visually inspect individual Slidev slides for overflow, missing progress dots, and color inconsistency. Uses a live slidev dev server and Playwright screenshots for fast edit/verify loops — no full build required.

Generates module README.md with exercise planning table for CopilotTraining workshop modules. Researches URLs to understand new capabilities and creates strategic content outline. Use exercise-author skill to implement individual exercises.

Validates TV show data against FanHub's domain rules. Use when working with show, character, episode, or quote data to ensure data integrity and business rule compliance.

REST API design standards for FanHub's Express backend. Use when creating or modifying API endpoints to ensure consistency.

Generates failing tests that reproduce reported bugs in FanHub. Use when a bug report comes in and you need to create a test that demonstrates the issue before fixing it. Follows FanHub's testing patterns and data integrity rules.

Diagnoses GitHub Actions CI/CD failures for FanHub's Node.js workflows. Identifies test failures, build errors, Docker issues, and environment problems.

Diagnoses npm/yarn dependency conflicts, identifies cascading updates, and suggests safe upgrade paths for React/Node.js projects.

Diagnoses Docker build failures for Node.js applications, identifies common patterns (COPY order, layer caching, context issues), and suggests fixes.

Analyze feature requests and provide technical effort estimates with risk assessment

Product requirements for FanHub features. Use when creating new pages, components, or user-facing functionality to ensure features meet product standards.