Stripe Projects
fossasia/eventyay
A skill your agent uses when the user wants to provision infrastructure or third-party services using Stripe Projects.
Agent skill
by jeremylongshore in jeremylongshore/tons-of-skills-marketplace
Optimize Lokalise API performance with caching, pagination, and bulk operations.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-performance-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-performance-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/lokalise-performance-tuning .claude/skills/lokalise-performance-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 "lokalise-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lokalise-performance-tuning into .claude/skills/lokalise-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-performance-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/lokalise-performance-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 lokalise-performance-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-performance-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/lokalise-performance-tuning .agents/skills/lokalise-performance-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 "lokalise-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lokalise-performance-tuning into .agents/skills/lokalise-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-performance-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 lokalise-performance-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-performance-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/lokalise-performance-tuning .cursor/skills/lokalise-performance-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 "lokalise-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lokalise-performance-tuning into .cursor/skills/lokalise-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-performance-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/lokalise-performance-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 lokalise-performance-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-performance-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/lokalise-performance-tuning .gemini/skills/lokalise-performance-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 "lokalise-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lokalise-performance-tuning into .gemini/skills/lokalise-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-performance-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 lokalise-performance-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 lokalise-performance-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/lokalise-performance-tuning .github/skills/lokalise-performance-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 "lokalise-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lokalise-performance-tuning into .github/skills/lokalise-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-performance-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 lokalise-performance-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 lokalise-performance-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/lokalise-performance-tuning .opencode/skills/lokalise-performance-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 "lokalise-performance-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/lokalise-performance-tuning into .opencode/skills/lokalise-performance-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lokalise-performance-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.
lokalise-performance-tuningOptimize Lokalise API performance with caching, pagination, and bulk operations.
Lokalise Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Lokalise API performance with caching, pagination, and bulk operations. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Lokalise integrations. Trigger with phrases like "lokalise performance", "optimize lokalise", "lokalise latency", "lokalise caching", "lokalise slow", "lokalise batch".
Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in Backend & APIs, covering Caching. 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.
7 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:
ReadWriteEditBash(npm:*)Bash(node:*)Bash(curl:*)Bash(jq:*)GrepFrom 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.lokalise.comAlso links to:
developers.lokalise.comnpmjs.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
LOKALISE_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Lokalise Performance Tuning loads about 3.4k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 518 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). 518 words, ~3,436 tokens.
.claude/skills/lokalise-performance-tuning/SKILL.md (or your agent's skills folder).Optimize Lokalise API throughput for translation pipelines by implementing cursor pagination, local caching, batch key operations (500/request), request throttling under the 6 req/s rate limit, and selective language downloads.
@lokalise/node-api SDK v9+ (ESM) or REST API accessLOKALISE_API_TOKEN environment variable setCursor pagination is significantly faster than offset pagination for projects with 5K+ keys. Offset pagination degrades as page numbers increase because the server must skip rows; cursor pagination uses a pointer.
import { LokaliseApi } from '@lokalise/node-api';
const lok = new LokaliseApi({ apiKey: process.env.LOKALISE_API_TOKEN! });
// Generator that yields all keys using cursor pagination
async function* getAllKeys(projectId: string) {
let cursor: string | undefined;
do {
const result = await lok.keys().list({
project_id: projectId,
limit: 500, // Maximum allowed per request
pagination: 'cursor',
cursor,
});
for (const key of result.items) yield key;
cursor = result.hasNextCursor() ? result.nextCursor : undefined;
} while (cursor);
}
// Usage: 10,000 keys = 20 API calls (vs 100 with default limit=100)
let count = 0;
for await (const key of getAllKeys('PROJECT_ID')) {
count++;
}
console.log(`Fetched ${count} keys`);Offset pagination comparison (avoid for large projects):
| Keys | Offset (limit=100) | Cursor (limit=500) | Time saved |
|---|---|---|---|
| 1,000 | 10 requests | 2 requests | 80% |
| 10,000 | 100 requests | 20 requests | 80% |
| 50,000 | 500 requests (~84s) | 100 requests (~17s) | 80% |
Translation file downloads are the most expensive Lokalise operation. Cache them locally and use project last_activity timestamps to invalidate.
import { LokaliseApi } from '@lokalise/node-api';
import { readFileSync, writeFileSync, existsSync, mkdirSync } from 'fs';
const lok = new LokaliseApi({ apiKey: process.env.LOKALISE_API_TOKEN! });
const CACHE_DIR = '.lokalise-cache';
interface CacheEntry {
url: string;
timestamp: string;
languages: string[];
}
function getCachePath(projectId: string, langIso: string): string {
return `${CACHE_DIR}/${projectId}/${langIso}.json`;
}
function getMetaPath(projectId: string): string {
return `${CACHE_DIR}/${projectId}/meta.json`;
}
async function downloadWithCache(projectId: string, langIso: string, format = 'json') {
mkdirSync(`${CACHE_DIR}/${projectId}`, { recursive: true });
const cachePath = getCachePath(projectId, langIso);
const metaPath = getMetaPath(projectId);
// Check if project was modified since last cache
const project = await lok.projects().get(projectId);
const lastActivity = project.statistics?.last_activity ?? project.created_at;
if (existsSync(metaPath)) {
const meta: CacheEntry = JSON.parse(readFileSync(metaPath, 'utf8'));
if (meta.timestamp === lastActivity && existsSync(cachePath)) {
console.log(`Cache hit: ${langIso} (unchanged since ${lastActivity})`);
return JSON.parse(readFileSync(cachePath, 'utf8'));
}
}
// Cache miss — download fresh
const bundle = await lok.files().download(projectId, {
format,
filter_langs: [langIso],
original_filenames: false,
});
// bundle.bundle_url contains a temporary download URL
const response = await fetch(bundle.bundle_url);
const data = await response.arrayBuffer();
writeFileSync(cachePath, Buffer.from(data));
writeFileSync(metaPath, JSON.stringify({
url: bundle.bundle_url,
timestamp: lastActivity,
languages: [langIso],
}));
console.log(`Cache miss: downloaded ${langIso} (${data.byteLength} bytes)`);
return data;
}Lokalise supports creating, updating, and deleting up to 500 keys per request. Always batch instead of making individual requests.
// Bulk create keys — 500 per batch with rate limit awareness
async function createKeysBatched(projectId: string, keys: any[]) {
const BATCH_SIZE = 500;
const results = [];
for (let i = 0; i < keys.length; i += BATCH_SIZE) {
const batch = keys.slice(i, i + BATCH_SIZE);
const result = await lok.keys().create({
project_id: projectId,
keys: batch,
});
results.push(...result.items);
console.log(`Batch ${Math.floor(i / BATCH_SIZE) + 1}: created ${result.items.length} keys`);
await new Promise(r => setTimeout(r, 200)); // Stay under 6 req/s
}
return results;
}
// Bulk update keys — same 500-key batch limit
async function updateKeysBatched(projectId: string, updates: Array<{key_id: number; [k: string]: any}>) {
const BATCH_SIZE = 500;
for (let i = 0; i < updates.length; i += BATCH_SIZE) {
const batch = updates.slice(i, i + BATCH_SIZE);
await lok.keys().bulk_update({
project_id: projectId,
keys: batch,
});
await new Promise(r => setTimeout(r, 200));
}
}
// Bulk delete — up to 500 key IDs per request
async function deleteKeysBatched(projectId: string, keyIds: number[]) {
const BATCH_SIZE = 500;
for (let i = 0; i < keyIds.length; i += BATCH_SIZE) {
const batch = keyIds.slice(i, i + BATCH_SIZE);
await lok.keys().bulk_delete({
project_id: projectId,
keys: batch,
});
await new Promise(r => setTimeout(r, 200));
}
}
// 2,000 keys: 4 batched requests instead of 2,000 individual onesA proper request queue prevents 429 Too Many Requests errors and makes your integration resilient under load.
import PQueue from 'p-queue';
// Lokalise rate limit: 6 requests/second
// Use 5 concurrent with 1s interval for safety margin
const queue = new PQueue({
concurrency: 5,
interval: 1000,
intervalCap: 5,
});
async function throttledRequest<T>(fn: () => Promise<T>): Promise<T> {
return queue.add(fn) as Promise<T>;
}
// All API calls go through the queue automatically
const project = await throttledRequest(() => lok.projects().get(projectId));
const keys = await throttledRequest(() => lok.keys().list({
project_id: projectId,
limit: 500,
pagination: 'cursor',
}));
// Works for parallel operations too — queue enforces the rate limit
const projectIds = ['PROJ_1', 'PROJ_2', 'PROJ_3', 'PROJ_4', 'PROJ_5'];
const allProjects = await Promise.all(
projectIds.map(id => throttledRequest(() => lok.projects().get(id)))
);File uploads and downloads are processed asynchronously by Lokalise. Instead of polling the process status endpoint, use webhooks to get notified when processing completes.
set -euo pipefail
# Set up a webhook for file operation events
curl -s -X POST "https://api.lokalise.com/api2/projects/${PROJECT_ID}/webhooks" \
-H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"url": "https://hooks.company.com/lokalise",
"events": [
"project.imported",
"project.exported",
"project.keys_added"
]
}' | jq '{webhook_id: .webhook.webhook_id, url: .webhook.url, events: .webhook.events}'If you must poll (no webhook endpoint available):
async function waitForProcess(projectId: string, processId: string, timeoutMs = 120_000) {
const start = Date.now();
while (Date.now() - start < timeoutMs) {
const proc = await throttledRequest(() =>
lok.queuedProcesses().get(projectId, processId)
);
if (proc.status === 'finished') return proc;
if (proc.status === 'cancelled' || proc.status === 'failed') {
throw new Error(`Process ${processId} ${proc.status}: ${proc.message}`);
}
await new Promise(r => setTimeout(r, 2000)); // Poll every 2s
}
throw new Error(`Process ${processId} timed out after ${timeoutMs}ms`);
}Downloading all languages when you only need one wastes bandwidth and API time. Always filter by language and, when possible, by modification timestamp.
// Download only changed translations since last sync
async function downloadDelta(projectId: string, langIso: string, sinceTimestamp: string) {
// Filter keys modified after the given timestamp
const keys = await lok.keys().list({
project_id: projectId,
limit: 500,
pagination: 'cursor',
filter_translation_lang_ids: langIso,
// Unfortunately, Lokalise doesn't support filter_modified_after on keys endpoint.
// Workaround: download full file and diff locally, or use webhooks for real-time sync.
});
return keys.items;
}
// Download a single language file instead of all languages
async function downloadSingleLanguage(projectId: string, langIso: string) {
const result = await lok.files().download(projectId, {
format: 'json',
filter_langs: [langIso], // Only this language
original_filenames: false, // Flat structure
bundle_structure: '%LANG_ISO%.%FORMAT%', // e.g., fr.json
export_empty_as: 'base', // Fall back to base language for untranslated
include_tags: ['production'], // Only production-tagged keys
});
return result.bundle_url;
}set -euo pipefail
# Benchmark API response times across endpoints
echo "=== Lokalise API Benchmarks ==="
echo -n "Projects list: "
curl -s -o /dev/null -w "%{time_total}s" \
-H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
"https://api.lokalise.com/api2/projects?limit=10"
echo ""
echo -n "Keys list (limit=500): "
curl -s -o /dev/null -w "%{time_total}s" \
-H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
"https://api.lokalise.com/api2/projects/${PROJECT_ID}/keys?limit=500"
echo ""
echo -n "File download trigger: "
curl -s -o /dev/null -w "%{time_total}s" \
-X POST -H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
-H "Content-Type: application/json" \
"https://api.lokalise.com/api2/projects/${PROJECT_ID}/files/download" \
-d '{"format":"json","filter_langs":["en"],"original_filenames":false}'
echo ""
echo -n "Rate limit headers: "
curl -s -D - -o /dev/null \
-H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
"https://api.lokalise.com/api2/projects?limit=1" \
| grep -i x-ratelimit| Issue | Cause | Solution |
|---|---|---|
429 Too Many Requests | Exceeded 6 req/s global rate limit | Use PQueue throttling (Step 4), retry with exponential backoff |
| Slow file downloads | Large project with 50+ languages | Filter by filter_langs to download one language at a time |
| Pagination timeout | Offset pagination on 50K+ key projects | Switch to cursor pagination (Step 1) |
| Bulk create partial failure | Network timeout on large batch | Reduce batch size from 500 to 200 and add retry logic per batch |
| Cache stale after team edits | last_activity not granular enough | Reduce cache TTL or use webhooks to invalidate on project.translation_updated |
bundle_url expired | Download URL only valid for ~30 minutes | Fetch the URL and download immediately; do not store URLs for later |
set -euo pipefail
# See how much rate limit headroom you have right now
curl -s -D - -o /dev/null \
-H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
"https://api.lokalise.com/api2/system/languages?limit=1" 2>/dev/null \
| grep -iE 'x-ratelimit' | while read -r line; do echo " $line"; donelokalise-debug-bundle.lokalise-upgrade-migration.lokalise-ci-integration.© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/.curated/lokalise-performance-tuning of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Lokalise Performance 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 |
|---|---|---|---|---|---|---|
| Lokalise Performance Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.4k | Automated safety check: Pass | MIT | |
| Stripe Projectsfossasia/eventyay | 1.7k | 5 repos | ~2k | Automated safety check: Notes | Apache-2.0 | |
| FoundatioFoundatioFx/Foundatio | 2.1k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | |
| Wp Block Themesgambitph/Stackable | 351 | 3 repos | ~985 | Automated safety check: Pass | GPL-3.0 | |
| Wp Performancegambitph/Stackable | 351 | 3 repos | ~1.5k | Automated safety check: Pass | GPL-3.0 | |
| Effect Portable Patternsmillionco/expect | 3.6k | — | ~3.7k | Automated safety check: Pass | Custom licence |
fossasia/eventyay
A skill your agent uses when the user wants to provision infrastructure or third-party services using Stripe Projects.
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gambitph/Stackable
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millionco/expect
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jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
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jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Categories
Optimize Lokalise API performance with caching, pagination, and bulk operations. Lokalise Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Lokalise API performance with caching, pagination, and bulk operations.
Lokalise Performance Tuning fits situations like: experiencing slow API responses; implementing caching strategies; optimizing request throughput for Lokalise integrations; with phrases like lokalise performance.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-performance-tuning -a claude-code`. Or copy the skill folder (skills/.curated/lokalise-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lokalise-performance-tuning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-performance-tuning -a codex`. Or copy the skill folder (skills/.curated/lokalise-performance-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lokalise-performance-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 lokalise-performance-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/lokalise-performance-tuning, .gemini/skills/lokalise-performance-tuning, .github/skills/lokalise-performance-tuning and .opencode/skills/lokalise-performance-tuning in your project.
Going by SKILL.md and its folder, Lokalise Performance Tuning needs the command-line tools its instructions call (curl and jq) and credentials named LOKALISE_API_TOKEN. Our summary lists: A credential in LOKALISE_API_TOKEN. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(npm:*), Bash(node:*), Bash(curl:*), Bash(jq:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.
SKILL.md names 3 domains. In commands or code: api.lokalise.com; the agent is likely to contact it when it follows the instructions. As links in the text: developers.lokalise.com and npmjs.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.
Lokalise Performance 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 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Lokalise Performance Tuning: Stripe Projects (fossasia/eventyay, 1.7k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars), Wp Block Themes (gambitph/Stackable, 351 stars) and Wp Performance (gambitph/Stackable, 351 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.