Agent skill

Lokalise Cost Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Optimize Lokalise costs through plan selection, usage monitoring, and efficiency.

MITAuto-check passedWriting & Content

Install Lokalise Cost Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-cost-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace lokalise-cost-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-cost-tuning .claude/skills/lokalise-cost-tuning && rm -rf skills-src

Use ~/.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/

Facts

Skill name
lokalise-cost-tuning
GitHub stars
2.8k
Token cost
~2.7k tokens
SKILL.md length
461 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize Lokalise costs through plan selection, usage monitoring, and efficiency.

  • Works in 6 steps: Audit Current Usage → Reduce Per-Seat Costs → Maximize Translation Memory (TM) Hits → …
  • Analyzing Lokalise billing
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 4 more sections
  • Calls jq and curl; reaches api.lokalise.com; needs LOKALISE_API_TOKEN

What it does

Lokalise Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Lokalise costs through plan selection, usage monitoring, and efficiency. Use when analyzing Lokalise billing, reducing costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "lokalise cost", "lokalise billing", "reduce lokalise costs", "lokalise pricing", "lokalise budget".

Its SKILL.md is about 2.7k 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 Writing & Content, covering Translation. 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.

When your agent uses it

  • Analyzing Lokalise billing
  • Implementing usage monitoring and budget alerts
  • With phrases like lokalise cost
  • Lokalise billing

Example prompts

  • “lokalise cost”
  • “lokalise billing”
  • “reduce lokalise costs”
  • “/lokalise-cost-tuning”

Requirements

  • A credential in LOKALISE_API_TOKEN
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(curl:*), Bash(jq:*), Grep

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Audit Current Usage
  2. Reduce Per-Seat Costs
  3. Maximize Translation Memory (TM) Hits
  4. Machine Translation Triage
  5. Clean Up Dead Keys
  6. Monitor Monthly Spend

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(curl:*)
    • Bash(jq:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq
    • curl

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.lokalise.com

    Also links to:

    • developers.lokalise.com
    • lokalise.com
    • docs.lokalise.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LOKALISE_API_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Lokalise Cost Tuning loads about 2.7k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 461 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 461 words, ~2,674 tokens.

Download SKILL.mdSave it as .claude/skills/lokalise-cost-tuning/SKILL.md (or your agent's skills folder).
name
lokalise-cost-tuning
description
Optimize Lokalise costs through plan selection, usage monitoring, and efficiency. Use when analyzing Lokalise billing, reducing costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "lokalise cost", "lokalise billing", "reduce lokalise costs", "lokalise pricing", "lokalise budget".
allowed-tools
Read, Write, Edit, Bash(curl:*), Bash(jq:*), Grep
compatibility
Designed for Claude Code
version
1.14.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, lokalise, monitoring, cost-optimization

Lokalise Cost Tuning

Overview

Optimize Lokalise localization spending across plan tiers, contributor seats, Translation Memory (TM) leverage, machine translation (MT) triage, and dead key cleanup. Lokalise pricing is per-seat subscription (Essential ~$120/user/month, Pro ~$290/user/month) with optional pay-per-use for MT and AI features.

Prerequisites

  • Lokalise Admin role for billing and usage visibility
  • LOKALISE_API_TOKEN with read access to project statistics
  • Understanding of translation workflow (human, MT, or hybrid)
  • curl and jq for API queries

Instructions

Step 1: Audit Current Usage
bash
set -euo pipefail
echo "=== Lokalise Usage Audit ==="

# Get all projects with statistics
PROJECTS=$(curl -sf "https://api.lokalise.com/api2/projects?limit=100&include_statistics=1" \
  -H "X-Api-Token: ${LOKALISE_API_TOKEN}")

echo "$PROJECTS" | jq -r '.projects[] | [.name, .statistics.keys_total, (.statistics.languages // [] | length), .statistics.progress_total] | @tsv' \
  | column -t -s $'\t' -N "Project,Keys,Languages,Progress%"

# Totals
TOTAL_KEYS=$(echo "$PROJECTS" | jq '[.projects[].statistics.keys_total] | add')
TOTAL_LANGS=$(echo "$PROJECTS" | jq '[.projects[] | (.statistics.languages // [] | length)] | max')
PROJECT_COUNT=$(echo "$PROJECTS" | jq '.projects | length')

echo ""
echo "Totals: ${PROJECT_COUNT} projects, ${TOTAL_KEYS} keys, up to ${TOTAL_LANGS} languages"
echo ""

# Contributor count (seats = cost driver)
TEAMS=$(curl -sf "https://api.lokalise.com/api2/teams" \
  -H "X-Api-Token: ${LOKALISE_API_TOKEN}")
echo "$TEAMS" | jq -r '.teams[] | "Team: \(.name) — \(.users_count) users (seats)"'
Step 2: Reduce Per-Seat Costs

Seats are the largest cost driver. Strategies to minimize:

typescript
import { LokaliseApi } from "@lokalise/node-api";
const lok = new LokaliseApi({ apiKey: process.env.LOKALISE_API_TOKEN! });

// Audit: Find inactive contributors (no activity in 90 days)
async function findInactiveContributors(projectId: string): Promise<void> {
  const contributors = await lok.contributors().list({
    project_id: projectId,
    limit: 500,
  });

  console.log("=== Contributor Activity Audit ===");
  for (const c of contributors.items) {
    const langs = c.languages
      .map((l: { lang_iso: string }) => l.lang_iso)
      .join(", ");
    console.log(
      `${c.fullname} <${c.email}> — ` +
      `admin: ${c.is_admin}, reviewer: ${c.is_reviewer}, ` +
      `languages: [${langs}]`
    );
  }

  console.log(`\nTotal contributors: ${contributors.items.length}`);
  console.log(
    "Review: Remove freelancers between tasks. " +
    "Use contributor groups for batch management."
  );
}

// Strategy: Use task-based access for freelance translators
// - Add freelancers when a translation task opens
// - Remove them when the task closes
// - This avoids paying for idle seats
// Cost example: 10 individual seats = ~$1,200/month
//               3 permanent + task-based freelancers = ~$360/month
Step 3: Maximize Translation Memory (TM) Hits

TM matches reduce human translation volume. Keys with 100% TM match cost zero for translation.

typescript
// Strategy: Translate similar projects sequentially to build TM
// Don't translate 3 apps in parallel — do one first, seed the TM,
// then the others get 30-50% free matches on shared strings

// Enable automations on upload to apply TM automatically
const uploadResult = await lok.files().upload(projectId, {
  data: base64FileData,
  filename: "en.json",
  lang_iso: "en",
  use_automations: true,      // Apply TM + MT suggestions
  replace_modified: true,
  detect_icu_plurals: true,
});

// Check TM coverage after upload
const languages = await lok.languages().list({ project_id: projectId, limit: 50 });
for (const lang of languages.items) {
  console.log(
    `${lang.lang_iso}: ${lang.statistics?.progress ?? 0}% translated, ` +
    `${lang.statistics?.words_to_do ?? "?"} words remaining`
  );
}
Step 4: Machine Translation Triage

Pre-translate low-risk content with MT. Reserve human translation for critical strings.

bash
set -euo pipefail
# Identify untranslated key volume per language
curl -sf "https://api.lokalise.com/api2/projects/${LOKALISE_PROJECT_ID}/languages" \
  -H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
  | jq '.languages[] | {
    locale: .lang_iso,
    progress: .statistics.progress,
    words_to_do: .statistics.words_to_do
  }'

MT triage matrix — decide by key prefix:

Key PrefixContent TypeTranslation MethodCost Impact
tooltip.*, help.*Tooltips, help textMachine TranslationLow risk, high volume savings
log.*, debug.*Log messagesMT or skipThese rarely face users
ui.label.*, nav.*UI labels, navigationHumanMedium risk, must be natural
marketing.*, cta.*Marketing copy, CTAsHuman (senior)High risk, brand-critical
legal.*, tos.*Legal textHuman + legal reviewCompliance-critical
Step 5: Clean Up Dead Keys

Orphaned keys waste per-word costs and clutter the project.

typescript
import { readFileSync } from "fs";

async function findOrphanedKeys(
  projectId: string,
  sourceCodeDir: string
): Promise<string[]> {
  // Get all keys from Lokalise
  const allKeys: string[] = [];
  let cursor: string | undefined;
  do {
    const page = await lok.keys().list({
      project_id: projectId,
      limit: 500,
      ...(cursor ? { cursor } : {}),
    });
    for (const k of page.items) {
      allKeys.push(k.key_name.web ?? k.key_name.other ?? "");
    }
    cursor = page.hasNextCursor() ? page.nextCursor() : undefined;
  } while (cursor);

  console.log(`Lokalise keys: ${allKeys.length}`);

  // Compare against source code references
  // (simplified — adjust grep pattern for your i18n framework)
  const { execSync } = await import("child_process");
  const sourceRefs = execSync(
    `grep -roh "t(['\"][^'\"]*['\"])" ${sourceCodeDir} 2>/dev/null || true`,
    { encoding: "utf-8" }
  )
    .split("\n")
    .map((line) => line.replace(/^t\(['"]/, "").replace(/['"]\)$/, ""))
    .filter(Boolean);

  const sourceKeySet = new Set(sourceRefs);
  const orphaned = allKeys.filter((k) => !sourceKeySet.has(k));

  console.log(`Source code references: ${sourceKeySet.size}`);
  console.log(`Orphaned keys: ${orphaned.length}`);

  return orphaned;
}

// Archive orphaned keys to stop paying for their translations
async function archiveKeys(projectId: string, keyNames: string[]): Promise<void> {
  // Look up key IDs
  for (const name of keyNames.slice(0, 50)) {
    const result = await lok.keys().list({
      project_id: projectId,
      filter_keys: name,
      limit: 1,
    });
    if (result.items.length > 0) {
      await lok.keys().update(result.items[0].key_id, {
        project_id: projectId,
        is_archived: true,
      });
    }
    await new Promise((r) => setTimeout(r, 170)); // Rate limit
  }
}
Step 6: Monitor Monthly Spend
bash
set -euo pipefail
echo "=== Monthly Cost Estimate ==="

# Count total seats across teams
SEAT_COUNT=$(curl -sf "https://api.lokalise.com/api2/teams" \
  -H "X-Api-Token: ${LOKALISE_API_TOKEN}" \
  | jq '[.teams[].users_count] | add')

# Estimate based on plan tier (adjust rate for your plan)
RATE_PER_SEAT=120  # Essential plan — adjust to 290 for Pro
MONTHLY_COST=$((SEAT_COUNT * RATE_PER_SEAT))

echo "Active seats: ${SEAT_COUNT}"
echo "Estimated monthly cost: \$${MONTHLY_COST} (at \$${RATE_PER_SEAT}/seat)"
echo ""
echo "Cost reduction levers:"
echo "  1. Remove inactive contributors (task-based access)"
echo "  2. Use contributor groups instead of individual invites"
echo "  3. Pre-translate with MT to reduce human translation volume"
echo "  4. Archive orphaned keys to reduce per-word charges"
echo "  5. Translate similar projects sequentially to maximize TM"

Output

  • Usage audit report: projects, keys, languages, contributor seat count
  • Inactive contributor identification for seat optimization
  • TM leverage strategy (sequential translation, automation-enabled uploads)
  • MT triage matrix mapping key prefixes to translation method
  • Orphaned key detection and archival workflow
  • Monthly cost estimate with reduction levers
Show full SKILL.md (200 more words)Show less

Error Handling

IssueCauseSolution
High per-word costsHuman translating MT-suitable contentApply MT to low-risk strings first
Seat costs growingAdding contractors as full seatsUse task-based access: add when task opens, remove on close
TM not matchingDifferent key naming across projectsStandardize key names to improve TM reuse
Budget overrunNew languages added without planningBudget per-language before adding to projects
Orphaned keys missedSource code scan incompleteUse multiple grep patterns matching your i18n framework

Examples

Cost Comparison Scenarios

Solo project with 5 languages: 2 full-time translators + 8 freelancers. Move freelancers to task-based access. Seats drop from 10 to 2, saving ~$960/month.

Multi-app suite sharing terminology: Three apps share UI strings. Translate the largest first to seed TM, then translate the others. TM matches on shared strings cut human translation volume by 30-50%.

10,000-key project MT triage: Tag keys by content type. Apply MT to tooltip.*, help.*, log.* prefixes (40% of keys). Route legal.*, marketing.*, ui.cta.* to humans. Saves ~$2,000 per target language.

Resources

Next Steps

For monitoring translation pipeline health and costs over time, see lokalise-observability.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/.curated/lokalise-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Lokalise 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.

Lokalise Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lokalise Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~2.7kAutomated safety check: PassMIT
Translation Diff ExportDevolutions/UniGetUI26k—~1.1kAutomated safety check: PassMIT
Sync Translationssymfony/symfony31k—~1.9kAutomated safety check: PassMIT
Translation Diff ImportDevolutions/UniGetUI26k—~750Automated safety check: PassMIT
Translation Diff TranslateDevolutions/UniGetUI26k—~934Automated safety check: PassMIT
Generate Translationspayloadcms/payload45k—~1.1kAutomated safety check: PassMIT

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Questions about Lokalise Cost Tuning

What does Lokalise Cost Tuning do?

Optimize Lokalise costs through plan selection, usage monitoring, and efficiency. Lokalise Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Lokalise costs through plan selection, usage monitoring, and efficiency.

When should I use Lokalise Cost Tuning?

Lokalise Cost Tuning fits situations like: analyzing Lokalise billing; implementing usage monitoring and budget alerts; with phrases like lokalise cost; lokalise billing.

How do I install Lokalise Cost Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/lokalise-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/lokalise-cost-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Lokalise Cost Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill lokalise-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/lokalise-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/lokalise-cost-tuning in your project. Codex loads it when a task matches its description.

Can I use Lokalise Cost Tuning in Cursor, Gemini CLI or GitHub Copilot?

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-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/lokalise-cost-tuning, .gemini/skills/lokalise-cost-tuning, .github/skills/lokalise-cost-tuning and .opencode/skills/lokalise-cost-tuning in your project.

What does Lokalise Cost Tuning need to run?

Going by SKILL.md and its folder, Lokalise Cost Tuning needs the command-line tools its instructions call (jq and curl) 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(curl:*), Bash(jq:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Lokalise Cost Tuning access the network?

SKILL.md names 4 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, lokalise.com and docs.lokalise.com. This is read from the text; nothing was executed.

Is Lokalise Cost Tuning safe to install?

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.

What licence does Lokalise Cost Tuning use?

Lokalise 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.

How many tokens does Lokalise Cost Tuning use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lokalise Cost Tuning?

Skills that share tags, products or a category with Lokalise Cost Tuning: Translation Diff Export (Devolutions/UniGetUI, 26k stars), Sync Translations (symfony/symfony, 31k stars), Translation Diff Import (Devolutions/UniGetUI, 26k stars) and Translation Diff Translate (Devolutions/UniGetUI, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lokalise Cost Tuning?

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.