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Default reference pipeline for the figma-migration taskKind — figma-extract → token-map → generate → critique.
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SOC 職業分類に基づく
A presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then runs a capped 3-round presentation checkup (演讲体检) on the rendered deck. It never renders slides itself. Use before generating PPT/HTML slides from raw material, and after rendering when the user says things like "给这份 deck 做演讲体检" or "PPT 渲染质检". If all you want is one beautiful template page with no outline and no checkup, a rendering skill alone is enough.
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Open Design's feature business case for the plugin marketplace: the user pain, options, tradeoffs, and the measure of success. Built as a decision-grade product management deck for PM, eng, design, leadership.
Open Design + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
Open Design's incident retro: the daemon-restart data bug, the root cause, the fix, and the systemic follow-ups. Built as a decision-grade product management deck for engineering, SRE, leadership.
Open Design's enterprise AI-adoption brief: local-first agents at work, the risk controls, the ROI, and the rollout plan. Built as a decision-grade AI literacy deck for leadership, IT, security.
| name | od-figma-migration |
| description | Default reference pipeline for the figma-migration taskKind — figma-extract → token-map → generate → critique. |
| od | {"scenario":"figma-migration","mode":"scenario"} |
Spec §1 / §10.1 / §21.3.1 / §23.3.3: the canonical figma-migration
flow. The pipeline is sequenced so each stage's output is the next
stage's input — figma-extract writes figma/tree.json,
token-map writes token-map/colors.json (etc.), and generate
reads both before producing the HTML artifact.
{
"stages": [
{ "id": "extract", "atoms": ["figma-extract"] },
{ "id": "tokens", "atoms": ["token-map"] },
{ "id": "generate", "atoms": ["file-write", "live-artifact"] },
{
"id": "critique", "atoms": ["critique-theater"],
"repeat": true,
"until": "critique.score>=4 || iterations>=3"
}
]
}
The scenario expects two oauth-prompt / form surfaces from the
plugin layer:
figma-oauth — oauth.route='connector', connectorId='figma',
persists at the project tier so multi-conversation work doesn't
re-prompt.file-pick — kind='form', captures the Figma file URL on the
first turn so figma-extract knows where to read.The daemon auto-derives the figma-oauth surface when
od.connectors.required[].id='figma' is declared and the connector
isn't yet authorised (spec §10.3.1 implicit oauth-prompt rule).