SKILLEMALL.ai

CC i18n-sync

Translate and synchronize application JSON locale files using source-key usage, project terminology, and focused validation. Use when adding keys or languages, updating source copy, or reviewing missing and stale translations.

The skillemall take

The skill promises to sync JSON locale files: find unused keys, pull translations by project terminology, validate gaps. Quality scores at 72% suggest working parts, but process score at 50% hints the logic is half-baked. Single file, no scripts, no model runs. Broken references means the folder links to missing resources—you'll debug paths yourself. No critical issues found, but that's not a clean bill.

Install if you already have translation infrastructure and need help with routine work. If you're building localization from scratch, test whether the skill adapts to your project structure first.

affaan-m/everything-claude-code Agent Skills author: affaan-m MIT 1 file body ≈ 1 689 tokens Open the sourcegithub.com↗ analyzed 21 h ago

Translate and synchronize application JSON locale files using source-key usage, project terminology, and focused validation.

As a process C 50/100 · Has gaps — References files that are not bundled: ../../hooks/README.md, ../frontend-patterns/SKILL.md, ../seo/SKILL.md

ProcedureGitHubWriting and documentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
50/100
Has gaps
References files that are not bundled: ../../hooks/README.md, ../frontend-patterns/SKILL.md, ../seo/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../../hooks/README.md
  • warning missing-ref reference to a missing file: ../frontend-patterns/SKILL.md
  • warning missing-ref reference to a missing file: ../seo/SKILL.md

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: ../../hooks/README.md, ../frontend-patterns/SKILL.md, ../seo/SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../../hooks/README.md, ../frontend-patterns/SKILL.md, ../seo/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 10 steps, 1 vague phrases
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1689 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 226: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.