Skip to main content الرئيسية المنشئون jeremylongshore tons-of-skills-marketplace figma-migration-deep-dive
figma-migration-deep-dive Migrate design systems between Figma files, or from other tools to Figma via API.
Use when migrating design tokens between files, syncing variables across libraries,
or building automated migration pipelines for Figma.
Trigger with phrases like "migrate figma", "figma migration",
"move figma library", "figma file migration", "sync figma files".
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
عرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill figma-migration-deep-diveيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
تحميل Zip جاري التحميل... المزيد من هذا المستودع langchain-deploy-integration Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy, or diagnosing p99 latency spikes. Trigger with "langchain deploy", "langchain cloud run", "langchain vercel python", "langchain langserve", or "langchain docker".
langchain-langgraph-agents Build a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompts. Trigger with "langgraph agent", "create_react_agent", "langgraph tool calling", "AgentExecutor migration", or "agent loop cost".
langchain-langgraph-human-in-loop Build LangGraph 1.0 human-in-the-loop approval flows with interrupt_before /
interrupt_after and Command(resume=...) — JSON-serializable state, clean
resume semantics, and UI wiring for approval decisions. Use when adding an
approval gate before an expensive tool call, wiring a Slack/web UI for agent
approvals, or debugging a graph that crashes on interrupt.
Trigger with "langgraph human in loop", "langgraph interrupt_before",
"langgraph approval flow", "Command resume", "langgraph HITL".
name figma-migration-deep-dive description Migrate design systems between Figma files, or from other tools to Figma via API.
Use when migrating design tokens between files, syncing variables across libraries,
or building automated migration pipelines for Figma.
Trigger with phrases like "migrate figma", "figma migration",
"move figma library", "figma file migration", "sync figma files".
allowed-tools Read, Write, Edit, Bash(npm:*), Bash(node:*) version 1.6.0 license MIT author Jeremy Longshore <jeremy@intentsolutions.io> tags ["saas","figma"] compatibility Designed for Claude Code
Figma Migration Deep Dive
Overview
Automate migration of design data between Figma files, from other tools to Figma, or from Figma styles to the Variables API. Covers inventory, extraction, transformation, and validation.
Prerequisites
Source and destination Figma file keys
FIGMA_PAT with file_content:read and file_variables:write (Enterprise) scopesUnderstanding of source file structure
Instructions
Step 1: Inventory Source File
const PAT = process.env .FIGMA_PAT !;
async function inventoryFile (fileKey : string const res = await fetch (
`https://api.figma.com/v1/files/${fileKey} ` ,
{ headers : { 'X-Figma-Token' : PAT } }
);
const file = await res.json ();
const inventory = {
name : file.name ,
pages : file.document .children .map ((p : any p.name ),
componentCount : Object .keys (file.components ).length ,
styleCount : Object .keys (file.styles
length
styles
fills
Object
values
styles
filter
(s : any
style_type
'FILL'
length
text
Object
values
styles
filter
(s : any
style_type
'TEXT'
length
effects
Object
values
styles
filter
(s : any
style_type
'EFFECT'
length
grids
Object
values
styles
filter
(s : any
style_type
'GRID'
length
let
0
function
countNodes
node : any
if
children
children
forEach
countNodes
document
as
any
totalNodes
return
const
await
inventoryFile
env
FIGMA_FILE_KEY
console
log
`File: ${inv.name} `
console
log
`Pages: ${inv.pages.join(', ' )} `
console
log
`Components: ${inv.componentCount} , Styles: ${inv.styleCount} `
console
log
`Total nodes: ${(inv as any ).totalNodes} `
Step 2: Extract Styles from Source async function extractAllStyles (fileKey : string const file = await fetch (
`https://api.figma.com/v1/files/${fileKey} ` ,
{ headers : { 'X-Figma-Token' : PAT } }
).then (r =>json ());
const styleNodeIds = Object .keys (file.styles );
const nodesRes = await fetch (
`https://api.figma.com/v1/files/${fileKey} /nodes?ids=${styleNodeIds.join(',' )} ` ,
{ headers : { 'X-Figma-Token' : PAT } }
).then (r =>json ());
const extracted = [];
for (const [nodeId, styleMeta] of Object .entries (file.styles ) as any []) {
const node = nodesRes.nodes [nodeId]?.document ;
if (!node) continue ;
extracted.push ({
name : styleMeta.name ,
type : styleMeta.style_type ,
nodeId,
data : {
fills : node.fills ,
strokes : node.strokes ,
effects : node.effects ,
style : node.style ,
characters : node.characters ,
},
});
}
return extracted;
}
Step 3: Transform and Map to Target
interface MigrationToken {
name : string ;
category : 'color' | 'typography' | 'effect' ;
source : { file : string ; nodeId : string };
value : any ;
}
function transformStyles (styles : any [], sourceFileKey : string MigrationToken [] {
return styles.map (style =>switch (style.type ) {
case 'FILL' :
const fill = style.data .fills ?.[0 ];
return {
name : style.name ,
category : 'color' as const ,
source : { file : sourceFileKey, nodeId : style.nodeId },
value : fill?.color
? {
r : Math .round (fill.color .r * 255 ),
g : Math .round (fill.color .g * 255 ),
b : Math .round (fill.color .b * 255 ),
a : fill.color .a ?? 1 ,
}
: null ,
};
case 'TEXT' :
return {
name : style.name ,
category : 'typography' as const ,
source : { file : sourceFileKey, nodeId : style.nodeId },
value : style.data .style
? {
fontFamily : style.data .style .fontFamily ,
fontSize : style.data .style .fontSize ,
fontWeight : style.data .style .fontWeight ,
lineHeight : style.data .style .lineHeightPx ,
}
: null ,
};
default :
return {
name : style.name ,
category : 'effect' as const ,
source : { file : sourceFileKey, nodeId : style.nodeId },
value : style.data .effects ,
};
}
}).filter (t =>value !== null );
}
Step 4: Write to Target (Variables API)
async function migrateToVariables (
targetFileKey : string ,
tokens : MigrationToken []
) {
const colorTokens = tokens.filter (t =>category === 'color' );
const payload = {
variableCollections : [{
action : 'CREATE' as const ,
id : 'temp_collection_1' ,
name : 'Migrated Colors' ,
}],
variables : colorTokens.map ((token, i ) => ({
action : 'CREATE' as const ,
id : `temp_var_${i} ` ,
name : token.name .replace (/\//g , '/' ),
variableCollectionId : 'temp_collection_1' ,
resolvedType : 'COLOR' as const ,
codeSyntax : { WEB : `--${token.name.toLowerCase().replace(/[\s/]+/g, '-' )} ` },
})),
variableModeValues : colorTokens.map ((token, i ) => ({
variableId : `temp_var_${i} ` ,
modeId : '' ,
value : {
r : token.value .r / 255 ,
g : token.value .g / 255 ,
b : token.value .b / 255 ,
a : token.value .a ,
},
})),
};
const res = await fetch (
`https://api.figma.com/v1/files/${targetFileKey} /variables` ,
{
method : 'POST' ,
headers : {
'X-Figma-Token' : PAT ,
'Content-Type' : 'application/json' ,
},
body : JSON .stringify (payload),
}
);
if (!res.ok ) throw new Error (`Variable creation failed: ${res.status} ${await res.text()} ` );
return res.json ();
}
Step 5: Validation async function validateMigration (
sourceFileKey : string ,
targetFileKey : string
): Promise <{ passed : boolean ; issues : string [] }> {
const sourceStyles = await extractAllStyles (sourceFileKey);
const targetVars = await fetch (
`https://api.figma.com/v1/files/${targetFileKey} /variables/local` ,
{ headers : { 'X-Figma-Token' : PAT } }
).then (r =>json ());
const issues : string [] = [];
const targetNames = new Set (
Object .values (targetVars.meta .variables ).map ((v : any v.name )
);
for (const style of sourceStyles) {
if (style.type === 'FILL' && !targetNames.has (style.name )) {
issues.push (`Missing in target: ${style.name} ` );
}
}
return { passed : issues.length === 0 , issues };
}
Output
Source file inventoried (components, styles, nodes)
Styles extracted and transformed to tokens
Tokens written to target file via Variables API
Migration validated with comparison report
Error Handling Error Cause Solution 403 on Variables POST Not Enterprise Use JSON export instead of Variables API Duplicate variable names Name collision in target Add prefix/suffix to migrated names Missing node data Node deleted between fetch and read Re-fetch with error handling Large file timeout File >100MB Use /nodes endpoint for specific pages
Examples Dry-run a styles→variables migration and review the mapping before writing (Steps 2-3):
node migrate.js --source ${SOURCE_FILE_KEY} --target ${TARGET_FILE_KEY} --dry-run
48 styles found in source (32 FILL, 12 TEXT, 4 EFFECT)
32 FILL styles → color variables in collection "Primitives"
Color/Brand/Primary → color/brand/primary #4F46E5
Color/Neutral/100 → color/neutral/100 #F5F5F5
2 styles skipped: gradient fills (no variable equivalent) — kept as styles
DRY RUN — no POST to /v1/files/{key}/variables performed
Then re-run without --dry-run to write via the Variables API and validate with Step 5 (GET /v1/files/{key}/variables/local count check). Transform rules: references/transform-and-map-to-target.md.
Resources
Next Steps For advanced troubleshooting, see figma-advanced-troubleshooting.
