mit einem Klick
bmad
">"
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Menü
">"
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Assist 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 — 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 — 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 / 拉片笔记 (github.com/bkingfilm/lapian-notes) — 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, "拉片笔记", "拉片" (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) — 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 中转站监控", 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).
| name | bmad |
| description | > |
| compatibility | > |
| allowed-tools | Read Write Bash Grep Glob |
| metadata | {"tags":"bmad, workflow, orchestration, phased-development, planning, architecture, implementation","platforms":"Claude, Gemini, Codex, OpenCode","keyword":"bmad","version":"2.1.0","source":"akillness/jeo-skills"} |
Use bmad as the common-layer BMAD/BMM front door.
The job is not to dump every phase command or runtime setup rule. The job is to:
Read references/intake-packets-and-route-outs.md first for the fastest routing model. Use references/core-routing.md, references/status-and-review.md, and references/runtime-and-module-boundaries.md when you need more depth.
bmad-ideabmad-gdsplannotatortask-planningomcomxohmgBefore talking about phases, choose the single best packet that describes the current ask:
bmad_packet:
packet_type:
- concept-packet
- planning-packet
- architecture-packet
- review-gate-packet
- execution-packet
- runtime-handoff-packet
- brownfield-resume-packet
evidence_in_hand:
- idea-notes
- product-brief
- prd
- tech-spec
- architecture-draft
- review-feedback
- active-repo
- issue-or-bug-link
- sprint-plan
- milestone-or-launch-pressure
project_type: web-app | backend-api | mobile-app | game | library | automation | unknown
project_level: 0 | 1 | 2 | 3 | 4 | unknown
runtime_context: claude | codex | gemini | opencode | mixed | unknown
main_constraint: ambiguity | review-blocker | execution-readiness | runtime-setup | brownfield-drift | unknown
Rules:
bmad-idea early.bmad-gds early.brownfield-resume-packet over pretending the project is greenfield.Use this scale:
Do not force architecture or heavyweight planning onto level 0–1 work unless the visible packet truly requires it.
Use the packet to infer the current BMAD phase, not the other way around:
| Packet type | Likely phase | Default next artifact or gate |
|---|---|---|
concept-packet | analysis | product-brief or route to bmad-idea |
planning-packet | planning | prd or tech-spec |
architecture-packet | solutioning | architecture or architecture review gate |
review-gate-packet | boundary between phases | plannotator review before advancing |
execution-packet | implementation | sprint-plan, story packet, or route to task-planning |
runtime-handoff-packet | implementation-ready | runtime route-out to omc, omx, or ohmg |
brownfield-resume-packet | mixed / unknown | workflow-status update, repo-state summary, then the smallest truthful next artifact |
Guiding rules:
bmad short and route outward.Pick the single next artifact or gate that best reduces ambiguity now:
| Current state | Preferred next move |
|---|---|
| vague idea, opportunity, user problem | product-brief |
| requirements emerging, implementation shape still unclear | prd or tech-spec |
| planning exists, system shape is still fuzzy | architecture |
| architecture exists but approval is missing | review gate |
| approved architecture exists, execution slicing is weak | sprint-plan or story packet |
| active implementation exists but status is unclear | workflow-status update + next-story recommendation |
| runtime is the real blocker after approval | runtime handoff to omc / omx / ohmg |
If the front-door decision is made, route the rest clearly:
bmad-idea → pre-planning concept framing before formal BMAD artifacts existplannotator → review / approval gate for PRD, architecture, sprint plan, or plan diffstask-planning → execution-ready slicing after the next artifact is approved or obviousomc → Claude-first runtime orchestration, hooks, team mode, stop callbacksomx → Codex-first orchestration, AGENTS.md injection, workflow skills, tmux team runtimeohmg → Gemini / Antigravity portable harness, .agents/ source of truth, generated runtime viewsbmad-gds → game-specific production routingLeave a short reason for the route-out. Do not just name the neighboring skill.
When a project already uses BMAD state files or helper scripts, keep them in the loop:
plannotatorAlways return this structure:
# BMAD Routing Brief
## Scope
- Packet type: ...
- Project type: ...
- Project level: 0 | 1 | 2 | 3 | 4
- Runtime context: ...
- Confidence: high | medium | low
## Current phase
- analysis | planning | solutioning | implementation | mixed | unknown
- Why: ...
## Recommended next move
- product-brief | prd | tech-spec | architecture | review gate | sprint-plan | story packet | workflow-status update | runtime handoff
## Why this is next
- 2-4 bullets grounded in the packet
## Route-outs
- Skill / module: ...
- Why: ...
- What to pass forward: ...
## What not to do yet
- 1-3 bullets preventing premature detail or the wrong lane
Do not inflate the main response with every helper script, command family, or runtime rule. Use the references when needed:
Return a short BMAD routing brief.
Required qualities:
Input
Use bmad. We already have a repo and some product notes, but planning drifted and I don't know whether we need a PRD, architecture, or just sprint planning.
Output sketch
brownfield-resume-packetmixedworkflow-status update, then whichever artifact is actually missingInput
We already wrote the architecture doc for our API migration. What should we do next in BMAD?
Output sketch
architecture-packetsolutioningreview gate if architecture is unreviewed, otherwise sprint-planplannotator first, task-planning secondInput
I want BMAD for Codex CLI. What should I actually use?
Output sketch
bmad as the packet/phase routerruntime-handoff-packetomxbmad into a Codex setup guideomc, omx, and ohmg own vendor/runtime specifics../scripts/init-project.sh./scripts/check-status.sh./scripts/phase-gate-review.sh../bmad-idea/SKILL.md../plannotator/SKILL.md../task-planning/SKILL.md../omc/SKILL.md../omx/SKILL.md../ohmg/SKILL.md../bmad-gds/SKILL.md