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.
Optimize Figma API usage to minimize costs and stay within plan limits.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-cost-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-cost-tuning --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-cost-tuning .claude/skills/figma-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-cost-tuning into .claude/skills/figma-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-cost-tuning", 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-cost-tuningType 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-cost-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-cost-tuning --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-cost-tuning .agents/skills/figma-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-cost-tuning into .agents/skills/figma-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-cost-tuning", 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-cost-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-cost-tuning --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-cost-tuning .cursor/skills/figma-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-cost-tuning into .cursor/skills/figma-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-cost-tuning", 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-cost-tuning--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-cost-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace figma-cost-tuning --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-cost-tuning .gemini/skills/figma-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-cost-tuning into .gemini/skills/figma-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-cost-tuning", 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-cost-tuningInstalls 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-cost-tuning -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-cost-tuning .github/skills/figma-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-cost-tuning into .github/skills/figma-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-cost-tuning", 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-cost-tuning -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-cost-tuning --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-cost-tuning .opencode/skills/figma-cost-tuning && 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-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/figma-cost-tuning into .opencode/skills/figma-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "figma-cost-tuning", 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-cost-tuningOptimize Figma API usage to minimize costs and stay within plan limits.
Figma Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Figma API usage to minimize costs and stay within plan limits. Use when analyzing request volumes, reducing unnecessary API calls, or choosing the right Figma plan for your integration needs. Trigger with phrases like "figma cost", "figma pricing", "reduce figma API calls", "figma plan limits", "figma budget".
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/cost-saving-architecture.md`, `references/errors.md` and `references/reduce-api-calls.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:
ReadGrepFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlFrom 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.comfigma.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 Cost Tuning 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 85 tokens; SKILL.md has 288 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). 288 words, ~1,810 tokens.
.claude/skills/figma-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Optimize Figma API usage costs. Figma's REST API rate limits are determined by plan tier and seat type. Reducing unnecessary requests keeps you within limits and avoids upgrading prematurely.
Figma rate limits vary by plan tier and seat type:
| Plan | Seat Types | Rate Limit Tier | Variables API |
|---|---|---|---|
| Starter (Free) | Free | Lowest | No |
| Professional | Full, Viewer | Standard | No |
| Organization | Full, Collab, Viewer | Higher | No |
| Enterprise | Full, Collab, Viewer | Highest | Yes |
Key facts:
/v1/files/:key/variables/*) requires Enterprise// Instrument all Figma API calls to track volume
class FigmaUsageTracker {
private calls: Array<{ endpoint: string; timestamp: number; cached: boolean }> = [];
record(endpoint: string, cached: boolean) {
this.calls.push({ endpoint, timestamp: Date.now(), cached });
}
getReport(windowMs = 24 * 60 * 60 * 1000) {
const cutoff = Date.now() - windowMs;
const recent = this.calls.filter(c => c.timestamp > cutoff);
// Group by endpoint
const byEndpoint = new Map<string, { total: number; cached: number }>();
for (const call of recent) {
const key = call.endpoint.replace(/[a-zA-Z0-9]{20,}/, ':key');
const entry = byEndpoint.get(key) || { total: 0, cached: 0 };
entry.total++;
if (call.cached) entry.cached++;
byEndpoint.set(key, entry);
}
return {
totalCalls: recent.length,
cachedCalls: recent.filter(c => c.cached).length,
cacheHitRate: recent.length > 0
? (recent.filter(c => c.cached).length / recent.length * 100).toFixed(1) + '%'
: '0%',
byEndpoint: Object.fromEntries(byEndpoint),
};
}
}
const tracker = new FigmaUsageTracker();// 1. Use depth parameter to avoid fetching full file trees
// Saves bandwidth and processing time
const fileMeta = await figmaFetch(`/v1/files/${key}?depth=1`);
// 2. Batch node IDs into single requests
// Instead of 50 individual /nodes calls, make 1 call with 50 IDs
const ids = nodeIds.join(',');
await figmaFetch(`/v1/files/${key}/nodes?ids=${ids}`);
// 3. Cache with webhooks instead of polling
// Polling every 30s = 2,880 calls/day per file
// Webhooks = 0 polling calls (events push to you)
// 4. Cache image URLs (they're valid for 30 days)
// Re-rendering the same nodes wastes Tier 1 quota
// 5. Use GET /v1/files/:key?depth=1 to check lastModified
// before fetching the full file (skip if unchanged)
async function fetchFileIfChanged(
fileKey: string,
lastKnownVersion: string,
token: string
) {
const meta = await fetch(
`https://api.figma.com/v1/files/${fileKey}?depth=1`,
{ headers: { 'X-Figma-Token': token } }
).then(r => r.json());
if (meta.version === lastKnownVersion) {
console.log('File unchanged, skipping full fetch');
return null;
}
// File changed -- fetch the full version
return fetch(
`https://api.figma.com/v1/files/${fileKey}`,
{ headers: { 'X-Figma-Token': token } }
).then(r => r.json());
}Polling Architecture (expensive):
App → GET /v1/files/:key every 30s → 2,880 calls/day/file
Webhook Architecture (efficient):
Figma → POST /webhooks/figma (only when file changes)
App → GET /v1/files/:key (only after webhook) → ~10-50 calls/day/file
Savings: 95%+ fewer API calls// Log API calls to a database for analysis
interface ApiCallLog {
timestamp: Date;
endpoint: string;
fileKey: string;
status: number;
latencyMs: number;
cached: boolean;
}
// Monthly usage summary
function getMonthlyReport(logs: ApiCallLog[]) {
const now = new Date();
const monthStart = new Date(now.getFullYear(), now.getMonth(), 1);
const monthLogs = logs.filter(l => l.timestamp >= monthStart);
return {
totalRequests: monthLogs.length,
uniqueFiles: new Set(monthLogs.map(l => l.fileKey)).size,
cacheHitRate: monthLogs.filter(l => l.cached).length / monthLogs.length,
errorRate: monthLogs.filter(l => l.status >= 400).length / monthLogs.length,
topEndpoints: Object.entries(
monthLogs.reduce((acc, l) => {
acc[l.endpoint] = (acc[l.endpoint] || 0) + 1;
return acc;
}, {} as Record<string, number>)
).sort(([,a], [,b]) => b - a).slice(0, 5),
};
}depth parameter| Issue | Cause | Solution |
|---|---|---|
| Hitting rate limits often | No caching or batching | Implement caching + batch requests |
| Variables API 403 | Not on Enterprise plan | Use styles API (free on all plans) |
| High bandwidth costs | Fetching full file trees | Use depth=1 and /nodes endpoint |
| Polling waste | No webhooks configured | Set up FILE_UPDATE webhook |
Find your most expensive call pattern with the Step 2 usage tracker, then apply the Step 3 fix:
Top API consumers (last 24h)
/v1/files/{key} 1,847 calls ← full-tree fetches from the preview service
/v1/files/{key}/nodes 312 calls
/v1/images/{key} 119 calls# Before: full tree (~4 MB, counts hard against the budget)
curl -s -H "X-Figma-Token: ${FIGMA_PAT}" "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}"
# After: shallow fetch (~40 KB) — same top-level structure the preview needs
curl -s -H "X-Figma-Token: ${FIGMA_PAT}" "https://api.figma.com/v1/files/${FIGMA_FILE_KEY}?depth=1"That single change cut the daily call payload ~99% for the hot path. Plan-tier limits and the dashboard query: references/understand-plan-based-rate-limits.md, references/usage-dashboard-query.md.
For architecture patterns, see figma-reference-architecture.
© 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-cost-tuning of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Figma Cost Tuning 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 Cost Tuning 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
Optimize Figma API usage to minimize costs and stay within plan limits. Figma Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Figma API usage to minimize costs and stay within plan limits.
Figma Cost Tuning fits situations like: analyzing request volumes; reducing unnecessary API calls; choosing the right Figma plan for your integration needs; with phrases like figma cost.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/figma-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/figma-cost-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill figma-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/figma-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/figma-cost-tuning 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-cost-tuning -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-cost-tuning, .gemini/skills/figma-cost-tuning, .github/skills/figma-cost-tuning and .opencode/skills/figma-cost-tuning in your project.
Going by SKILL.md and its folder, Figma Cost Tuning needs the command-line tools its instructions call (curl) and credentials named FIGMA_FILE_KEY. Our summary lists: A credential in FIGMA_FILE_KEY. Its frontmatter pre-approves these tools: Read, Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 3 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 and figma.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 Cost Tuning 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 7.2k 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 Cost Tuning: 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.