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bmad-gds
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Based on SOC occupation classification
| name | bmad-gds |
| description | > |
| compatibility | > |
| allowed-tools | Read Write Bash Grep Glob |
| metadata | {"tags":"bmad, gds, game-development, game-production, gdd, milestone-planning, playtesting, launch-ops, orchestration","platforms":"Claude, Gemini, Codex, OpenCode","keyword":"bmad-gds","version":"1.0.0","source":"akillness/jeo-skills"} |
Use this skill as the game producer / orchestration layer for the repository's game-development cluster.
The job is not to do every game task directly. The job is to:
Read references/operating-modes.md for the main entry modes and references/scope-boundaries.md before choosing between this skill and the narrower game skills.
game-build-log-triagegame-performance-profilergame-demo-feedback-triagesteam-store-launch-opstask-planningbmad-ideaBefore proposing a workflow, normalize the packet into this brief:
project_brief:
game_type: "genre, camera, platform, target audience"
team_shape: solo | duo | small-team | unknown
engine: Unity | Unreal | Godot | custom | unknown
current_stage: concept | prototype | vertical-slice | demo | production | launch-prep | live-ops
next_public_beat: none | internal-playtest | steam-playtest | next-fest | demo-drop | launch | patch
source_packet:
- idea-notes
- gdd-or-design-doc
- backlog-or-board
- playtest-feedback
- bug-or-build-issues
- launch-or-store-constraints
main_constraint: time | scope | quality | performance | unknown
main_question: "what decision or artifact is needed next?"
If the packet is incomplete, still proceed with the best visible stage and state the assumptions.
Pick exactly one primary mode for the current run.
Concept โ milestone brief
GDD โ backlog slice
Mixed signals โ reprioritization
Build trouble โ routing decision
game-build-log-triagePublic beat โ readiness plan
Return one primary artifact from this list:
milestone-briefgdd-to-backlog packetreprioritization briefspecialist-routing briefpublic-beat readiness planDo not flood the team with parallel plans. Choose the single artifact that most reduces ambiguity right now.
If the intake shows a narrower downstream problem, route out with a short reason:
game-demo-feedback-triage โ clustered player/demo feedback and fix-first recommendationsgame-build-log-triage โ build, packaging, CI, signing, cook, compile, or editor-log failuresgame-performance-profiler โ frame-time, memory, hitches, GPU/CPU bottleneck, Steam Deck or console perf complaintssteam-store-launch-ops โ store-page, wishlist funnel, launch sequencing, public-facing launch preptask-planning โ general engineering decomposition after the game-specific milestone decision is madeIf you route out, still leave the team with a short milestone-aware handoff, not just a tool name.
Use this exact structure:
# Game Production Coordination Brief
## Scope
- Game / build stage: ...
- Engine / platform context: ...
- Team shape: ...
- Next public beat: ...
- Confidence: high | medium | low
## Primary mode
- concept-to-milestone | gdd-to-backlog | reprioritization | build-trouble-routing | public-beat-readiness
## What matters most now
- 2-4 bullets on the strongest production truths from the packet
## Recommended next artifact
- One of: milestone-brief | gdd-to-backlog packet | reprioritization brief | specialist-routing brief | public-beat readiness plan
## Priority decisions
| Decision | Why now | Owner | Risk if delayed |
|----------|---------|-------|-----------------|
| ... | ... | ... | ... |
## Immediate next steps
1. ...
2. ...
3. ...
## Specialist handoffs
- Skill: ...
- Why: ...
- What packet to pass: ...
## What not to do yet
- 1-3 bullets preventing scope drift or the wrong lane
Every output must connect work back to the next meaningful beat:
If there is no explicit beat, infer the next milestone from the packet and say so.
Always return a short producer-style coordination brief.
Required qualities:
Input
We are a 3-person Unity team building a co-op survival game. We have rough mechanic notes and a prototype, and we want a Steam demo in 8 weeks. Use bmad-gds.
Output sketch
concept-to-milestonemilestone-brieftask-planning only after the milestone brief is lockedInput
We have Discord feedback, a bug sheet, and a Next Fest date. Players are confused early, and the latest build also has two packaging issues.
Output sketch
reprioritizationreprioritization briefgame-demo-feedback-triage gets the feedback packetgame-build-log-triage gets the packaging failuresInput
Our Unreal CI build is failing during packaging. Help.
Output sketch
bmad-gds as the main skillspecialist-routing briefgame-build-log-triage with the exact log/build packet required../bmad-idea/SKILL.md../task-planning/SKILL.md../game-demo-feedback-triage/SKILL.md../game-build-log-triage/SKILL.md../game-performance-profiler/SKILL.md../steam-store-launch-ops/SKILL.mdAssist with Colibri: pure-C LLM inference engine for running GLM-5.2 (744B MoE) on consumer machines with ~25 GB RAM. Use when setting up, building, converting models, running inference, configuring expert streaming and caching, optimizing speculative decoding (MTP), GPU integration, and integrating Colibri into production pipelines. Includes build setup, model download & conversion, chat/inference modes, performance tuning, and API integration patterns.
Discover and apply curated prompts from the prompts.chat collection to optimize AI interactions. Use when refining prompt engineering, finding domain-specific prompt templates, improving response quality, or building prompt-based workflows. Triggers on: prompt optimization, prompt templates, prompt engineering, prompt library, curated prompts, prompt discovery, and AI prompt patterns.
Turn ONE topic into a finished Vox-style paper-collage explainer / ad video, end to end on the Atlas Cloud API + local ffmpeg โ script, collage keyframes, motion, voice-over, music, captions, all automated. Use this whenever the user wants a "Vox style" video, a paper/torn-paper collage animation, a "motion collage", a narrated explainer or short ad built from AI-generated collage posters, a scrapbook-style tribute, or wants to turn a topic / product / person into a punchy narrated collage video โ even if they don't say the word "Vox". Also use when reproducing Stav Zilber / rom1trs / Higgsfield-style collage ad workflows, or when the user asks for a motion collage or a scrapbook-style tribute. Triggers: "vox video", "collage video", "motion collage", "paper collage explainer", "make a collage ad", "turn this topic into a collage video".
Assist with Motion Previs Studio v4: a cross-platform desktop app for AI-film previsualization. Use when setting up, configuring, troubleshooting, or extending motion-previs-studio for pose extraction, depth mapping, camera motion solving, control layer export, and bundle production for AI-video workflows (Seedance, ComfyUI, Blender, Runway, Kling). Includes build setup, feature integration, UI/logic debugging, and export pipeline optimization.
Work with Lapian Notes / ๆ็็ฌ่ฎฐ (github.com/bkingfilm/lapian-notes) โ a local- first React/Vite tool that turns a film into an editable shot-by-shot study notebook: local frame extraction, AI-assisted structure analysis (bring your own AI, no API key required), story-line swimlane timeline, structure tree, and audience-emotion curve. Use when the user asks about Lapian Notes, "ๆ็็ฌ่ฎฐ", "ๆ็" (shot-by-shot film analysis) tooling, cloning/running this repo (npm run dev, run.bat/run.command), the AI-analysis-package (ZIP) round-trip workflow, or contributing a PR to lapian-notes. Not for generic video editing (use `opencut` for that) or generic film-analysis theory unrelated to this codebase.
Set up, run, and contribute to TokHub (github.com/yaojingang/TokHub) โ an open-source AI API relay monitoring, recommendation, and OpenAI-compatible gateway system with L1/L2/L3 channel health probing, usage metering, alerts, audit, and Docker self-hosting. Use when the user asks about TokHub, "AI API ไธญ่ฝฌ็ซ็ๆง", cloning/running the Go + React monorepo (TOKHUB_ROLE, sqlc, TimescaleDB, NATS), the L1/L2/L3 probe algorithm, the OpenAI-compatible `/gateway/v1/*` endpoint, or contributing a PR to TokHub. Do not use for connecting a running agent to a live TokHub instance's own API (that is covered by the project's own bundled `agent-skills/tokhub` skill inside the TokHub repo, not this one).