bmad-correct-course
Evaluates the impact of a substantial change during sprint execution on the PRD, epics, architecture, and UX documents. Produces a sprint change proposal.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Evaluates the impact of a substantial change during sprint execution on the PRD, epics, architecture, and UX documents. Produces a sprint change proposal.
Configures Service Level Objective alerting policies for resources registered in App Hub or specified individually. Produces Terraform output using PromQL-based alerts.
Uses PKCanvasView, PKToolPicker, and PKDrawing for drawing interfaces, serialization, export, and stroke inspection. Covers PencilKit/PaperKit handoffs and content-version-safe ink workflows across supported Apple platforms.
Sets up a learner for the 523-lesson, 20-phase AI Engineering from Scratch curriculum. Interviews the learner, runs a placement quiz, and writes a persistent LEARNING.md study plan for the learn skill.
Creates or updates a product's STRATEGY.md. Supports starting a product, adding a strategy document, and changing direction or roadmap.
Paints tile layers and configures collision, navigation, and custom tile data. Covers terrain autotiling, programmatic cell access, and migration from deprecated TileMap nodes to TileMapLayer.
Creates automated API and end-to-end tests covering features that have already been implemented.
Starts debugging by reproducing the problem and repeatedly asking why it occurs. Fixes the underlying cause rather than adding nil checks that merely suppress crashes.
Implements puzzle state and move input with rule-based resolution. Covers match-3 cascades, Sokoban pushes, tile logic, scoring, and undo.
Coordinates group discussions between installed BMAD agents or custom personas. Helps create and configure parties, define personas, and build AI focus-group panels.
Uses player names, a game title, visual style, and optional character references to design an approval image. Converts the approved design into a video with coordinated characters, typography, menu elements, and interaction timing. Focuses on concept animations rather than playable games.
Identifies US stocks with strong earnings and price momentum using CANSLIM criteria. Supports growth stock analysis and momentum stock screening based on O'Neil's investment system.
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