Add Hosted Key
simstudioai/sim
Add hosted API key support to a tool so Sim provides the key (metered and billed to the workspace) when a user has not brought their own.
Handle Figma REST API rate limits with exponential backoff and request queuing.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-rate-limits --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/figma-rate-limits .claude/skills/figma-rate-limits && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "figma-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-rate-limits into .claude/skills/figma-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-rate-limits", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-rate-limitsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-rate-limits --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/figma-rate-limits .agents/skills/figma-rate-limits && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "figma-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-rate-limits into .agents/skills/figma-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-rate-limits", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-rate-limits --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/figma-rate-limits .cursor/skills/figma-rate-limits && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "figma-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-rate-limits into .cursor/skills/figma-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-rate-limits", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/figma-rate-limits--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-rate-limits --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/figma-rate-limits .gemini/skills/figma-rate-limits && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "figma-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-rate-limits into .gemini/skills/figma-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-rate-limits", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-rate-limitsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/figma-rate-limits .github/skills/figma-rate-limits && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "figma-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-rate-limits into .github/skills/figma-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-rate-limits", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-rate-limits --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/figma-rate-limits .opencode/skills/figma-rate-limits && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "figma-rate-limits" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-rate-limits into .opencode/skills/figma-rate-limits/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-rate-limits", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
figma-rate-limitsHandle Figma REST API rate limits with exponential backoff and request queuing.
Figma Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Handle Figma REST API rate limits with exponential backoff and request queuing. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput for Figma. Trigger with phrases like "figma rate limit", "figma throttling", "figma 429", "figma retry", "figma backoff".
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/batch-node-requests.md`, `references/errors.md` and `references/implement-exponential-backoff.md`). Compatibility notes: Designed for Claude Code
It sits in Backend & APIs, covering Rate limiting. It works with Figma. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.figma.comAlso links to:
developers.figma.comhelp.figma.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
FIGMA_FILE_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Figma Rate Limits loads about 1.8k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 271 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 271 words, ~1,828 tokens.
.claude/skills/figma-rate-limits/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Figma uses a leaky bucket algorithm for rate limiting. When the bucket is full, the API returns 429 with a Retry-After header. Limits vary by plan tier, seat type, and endpoint tier.
Endpoint tiers (limits are per-user, per-minute):
| Tier | Endpoints | Typical Limit |
|---|---|---|
| Tier 1 | GET /v1/files, GET /v1/images | Higher quota |
| Tier 2 | GET /v1/files/:key/comments, GET /v1/files/:key/variables/local | Moderate quota |
| Tier 3 | GET /v1/teams/:id/components, GET /v1/teams/:id/styles | Lower quota |
429 response headers:
| Header | Type | Meaning |
|---|---|---|
Retry-After | Integer (seconds) | Wait this long before retrying |
X-Figma-Plan-Tier | String | Your Figma plan level |
X-Figma-Rate-Limit-Type | String | "low" or "high" rate limit |
X-Figma-Upgrade-Link | String | URL to upgrade for higher limits |
async function figmaFetchWithRetry(
path: string,
token: string,
maxRetries = 5
): Promise<any> {
for (let attempt = 0; attempt <= maxRetries; attempt++) {
const res = await fetch(`https://api.figma.com${path}`, {
headers: { 'X-Figma-Token': token },
});
if (res.status === 429) {
const retryAfter = parseInt(res.headers.get('Retry-After') || '60');
const limitType = res.headers.get('X-Figma-Rate-Limit-Type') || 'unknown';
if (attempt === maxRetries) {
throw new Error(`Rate limited after ${maxRetries} retries (${limitType})`);
}
// Use the Retry-After header -- Figma tells you exactly how long to wait
const jitter = Math.random() * 1000;
const delay = retryAfter * 1000 + jitter;
console.warn(`429 (${limitType}). Waiting ${(delay/1000).toFixed(1)}s (attempt ${attempt + 1})`);
await new Promise(r => setTimeout(r, delay));
continue;
}
if (res.status >= 500 && attempt < maxRetries) {
// Server errors: exponential backoff without Retry-After
const delay = Math.min(1000 * Math.pow(2, attempt), 30000);
await new Promise(r => setTimeout(r, delay));
continue;
}
if (!res.ok) {
throw new Error(`Figma API error: ${res.status} ${await res.text()}`);
}
return res.json();
}
}import PQueue from 'p-queue';
// Limit concurrent requests to avoid bursting the bucket
const figmaQueue = new PQueue({
concurrency: 3, // max 3 parallel requests
interval: 1000, // per second
intervalCap: 5, // max 5 requests per second
});
async function queuedFigmaRequest<T>(
path: string,
token: string
): Promise<T> {
return figmaQueue.add(() => figmaFetchWithRetry(path, token));
}
// Usage -- all requests are automatically queued and throttled
const [file, comments, images] = await Promise.all([
queuedFigmaRequest(`/v1/files/${fileKey}`, token),
queuedFigmaRequest(`/v1/files/${fileKey}/comments`, token),
queuedFigmaRequest(`/v1/images/${fileKey}?ids=0:1&format=svg`, token),
]);class FigmaRateLimitMonitor {
private requestLog: number[] = [];
private windowMs = 60_000; // 1 minute window
recordRequest() {
this.requestLog.push(Date.now());
// Trim old entries
const cutoff = Date.now() - this.windowMs;
this.requestLog = this.requestLog.filter(t => t > cutoff);
}
getRequestsInWindow(): number {
const cutoff = Date.now() - this.windowMs;
return this.requestLog.filter(t => t > cutoff).length;
}
shouldThrottle(safetyMargin = 0.8): boolean {
// If we've used 80% of a conservative estimate, slow down
const estimatedLimit = 30; // Conservative estimate
return this.getRequestsInWindow() > estimatedLimit * safetyMargin;
}
}
const monitor = new FigmaRateLimitMonitor();
// Wrap every request
async function monitoredFigmaFetch(path: string, token: string) {
if (monitor.shouldThrottle()) {
console.warn('Approaching rate limit, adding delay');
await new Promise(r => setTimeout(r, 2000));
}
monitor.recordRequest();
return figmaFetchWithRetry(path, token);
}// Instead of N individual /v1/files/:key/nodes requests,
// batch node IDs into fewer requests
async function batchFetchNodes(
fileKey: string,
nodeIds: string[],
batchSize = 50,
token: string
) {
const results: Record<string, any> = {};
for (let i = 0; i < nodeIds.length; i += batchSize) {
const batch = nodeIds.slice(i, i + batchSize);
const ids = encodeURIComponent(batch.join(','));
const data = await queuedFigmaRequest(
`/v1/files/${fileKey}/nodes?ids=${ids}`,
token
);
Object.assign(results, data.nodes);
}
return results;
}Retry-After header compliance| Scenario | Detection | Response |
|---|---|---|
| Single 429 | Retry-After header | Wait exactly that duration |
| Repeated 429s | Multiple retries exhausted | Log, alert, back off longer |
low rate limit type | X-Figma-Rate-Limit-Type: low | Consider upgrading Figma plan |
| Batch too large | 400 Bad Request | Reduce batch size to 50 IDs |
Reproduce a 429 and read the headers that drive every pattern in this skill (Step 1):
for i in $(seq 1 60); do
curl -s -o /dev/null -D - -H "X-Figma-Token: ${FIGMA_PAT}" \
"https://api.figma.com/v1/files/${FIGMA_FILE_KEY}?depth=1" | /usr/bin/grep -iE '^(HTTP|retry-after)'
done | sort | uniq -c 54 HTTP/2 200
6 HTTP/2 429
6 retry-after: 30Collapse N per-node calls into one batched request (Step 5) — the single biggest budget win:
curl -s -H "X-Figma-Token: ${FIGMA_PAT}" \
"https://api.figma.com/v1/files/${FIGMA_FILE_KEY}/nodes?ids=1:2,1:5,1:9,2:14" | jq '.nodes | keys'Backoff implementation and the queue: references/implement-exponential-backoff.md, references/request-queue-with-concurrency-control.md.
For security configuration, see figma-security-basics.
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (references) in skills/.curated/figma-rate-limits of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Figma Rate Limits next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Figma Rate Limits this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Add Hosted Keysimstudioai/sim | 30k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Upstash Ratelimit TSupstash/ratelimit-js | 2k | — | ~313 | Automated safety check: Pass | MIT | |
| Io Figmagridaco/grida | 2.7k | — | ~2.2k | Automated safety check: Notes | Apache-2.0 | |
| Repo2skillzhangyanxs/repo2skill | 246 | — | ~3.6k | Automated safety check: Pass | None | |
| Better Auth Security Best PracticesEpicenterHQ/epicenter | 4.8k | — | ~896 | Automated safety check: Pass | Custom licence |
simstudioai/sim
Add hosted API key support to a tool so Sim provides the key (metered and billed to the workspace) when a user has not brought their own.
upstash/ratelimit-js
Lightweight guidance for using the Redis Rate Limit TypeScript SDK, including setup steps, basic usage, and pointers to advanced algorithm, features, pricing, and traffic‑protection docs.
gridaco/grida
Guides work on the Figma I/O package (@grida/io-figma, packages/grida-canvas-io-figma/).
zhangyanxs/repo2skill
Convert GitHub/GitLab/Gitee repositories into comprehensive OpenCode Skills using embedded LLM calls with multiple mirrors and rate limit handling
EpicenterHQ/epicenter
Better Auth security hardening: rate limits, secrets, CSRF, trusted origins, cookies, sessions, OAuth tokens, and audit logging.
php-internal/dload
Get a CLI tool — native binary or PHAR — from a GitHub release into a project folder with dload (vendor/bin/dload).
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Works with
Categories
Handle Figma REST API rate limits with exponential backoff and request queuing. Figma Rate Limits is an agent skill from jeremylongshore/tons-of-skills-marketplace. Handle Figma REST API rate limits with exponential backoff and request queuing.
Figma Rate Limits fits situations like: encountering 429 errors; implementing retry logic; optimizing API request throughput for Figma; with phrases like figma rate limit.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a claude-code`. Or copy the skill folder (skills/.curated/figma-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/figma-rate-limits in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a codex`. Or copy the skill folder (skills/.curated/figma-rate-limits in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/figma-rate-limits in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-rate-limits -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/figma-rate-limits, .gemini/skills/figma-rate-limits, .github/skills/figma-rate-limits and .opencode/skills/figma-rate-limits in your project.
Going by SKILL.md and its folder, Figma Rate Limits needs the command-line tools its instructions call (curl and jq) and credentials named FIGMA_FILE_KEY. Our summary lists: A credential in FIGMA_FILE_KEY. Its frontmatter pre-approves these tools: Read, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 4 domains. In commands or code: api.figma.com; the agent is likely to contact it when it follows the instructions. As links in the text: developers.figma.com, help.figma.com and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Figma Rate Limits is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Figma Rate Limits: Add Hosted Key (simstudioai/sim, 30k stars), Upstash Ratelimit TS (upstash/ratelimit-js, 2k stars), Io Figma (gridaco/grida, 2.7k stars) and Repo2skill (zhangyanxs/repo2skill, 246 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.