Now let me explore the project context and research the key technical areas in parallel.
I'll start by invoking the brainstorming skill since this is a new feature/project creation task.
Excellent research results. The project directory is empty (fresh start), and I now have a solid understanding of:
talentImportCode field in ReportFight dataC_ClassTalents.LoadConfig(), C_ClassTalents.ImportLoadout(), talent export stringsCHALLENGE_MODE_START for M+, ENCOUNTER_START for raids, ZONE_CHANGED_NEW_AREA for zone detectionLet me start with my first clarifying question:
Good — prompt-first approach. Next question:
Now I have enough context to design the architecture. Let me launch Plan agents to design the two major components.
Both design agents returned comprehensive plans. Let me update the task tracking and write the final plan.
Now let me write the comprehensive plan file.
Here's a summary of the plan:
AzerothsTopTalent — Two components:
Python data pipeline (data_pipeline/) — Authenticates with WarcraftLogs API v2 (GraphQL, OAuth2), queries top-ranked players' characterRankings for all 39 specs across M+ and raid content, extracts talent import codes, picks the most popular build per spec, and generates a TalentData.lua file indexed by specID.
WoW Lua addon (AzerothsTopTalent/) — 7 files: TalentData (data), ImportExport (deserialize talent strings), LoadoutManager (apply talents via C_Traits API without consuming loadout slots), ContentDetector (detect M+ via CHALLENGE_MODE_START, raids via zone/encounter events), PromptUI (StaticPopup confirmation dialog), Settings (SavedVariables + panel), Core (orchestration + combat queueing).
Key decisions baked in from your answers:
13 implementation steps, from scaffolding through to ROADMAP.md creation.
Now let me save this to plan.md in the project directory as requested.
Plan saved to /mnt/dest-btrfs/home/jc/src/azerothtoptalent/plan.md. Ready for approval.
Let me start by exploring the project context and researching the key technical areas.