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* fix(skills): move version into metadata and normalize to semver 29 skills declared `version` at the top level of their frontmatter. The schema reads it from `metadata`, so tooling that follows the schema either misses it or has to special-case the top level. Three motion skills also declared `version: 1.0`, which is not a valid semantic version; normalized to `1.0.0`. No behavioral change — frontmatter metadata only. * fix(skills): state activation triggers in skill descriptions 148 skills described what they cover but never named the situation that should trigger them. Since the description is what Claude matches against to decide whether to load a skill, a description without a trigger makes activation guesswork — the skill is either missed or loaded at the wrong time. Added a "Use when ..." clause to each, derived from the skill's own body (most already stated the trigger under "## When to Use" or in the opening line; that intent is now reflected in the frontmatter where it is actually read from). Descriptions were only appended to; no existing wording was removed. * fix(skills): sync activation triggers into the Codex skill mirror 10 of the skills whose descriptions changed are also mirrored under `.agents/skills/`, where the description was previously a verbatim copy. Left alone, the two surfaces would disagree about when the skill applies. Only the description line is synced; the Codex copies keep their reduced frontmatter, since that validator accepts only name, description, metadata, license, and allowed-tools. * fix(skills): correct three activation clauses from review - autonomous-loops: the clause pulled new loop work into a skill that its own body marks as a compatibility shim retained for one release. It now points at the canonical continuous-agent-loop instead. - continuous-learning: the description carried the v1 routing directive twice; collapsed to one. - homelab-pihole-dns: the clause fired on any broken home DNS. Narrowed to tasks that actually involve Pi-hole. * chore: retain current main lockfile --------- Co-authored-by: Çağrı Solakoğlu <cagri.solakoglu@vtcenerji.com> Co-authored-by: haelyra <49814733+haelyra@users.noreply.github.com>
Visa Document Translator
Automatically translate visa application documents from images to professional English PDFs.
Features
- Automatic OCR: Tries multiple OCR methods (macOS Vision, EasyOCR, Tesseract)
- Bilingual PDF: Original image + professional English translation
- Multi-language: Supports Chinese, and other languages
- Professional Format: Suitable for official visa applications
- Fully Automated: No manual intervention required
Supported Documents
- Bank deposit certificates (存款证明)
- Employment certificates (在职证明)
- Retirement certificates (退休证明)
- Income certificates (收入证明)
- Property certificates (房产证明)
- Business licenses (营业执照)
- ID cards and passports
Usage
/visa-doc-translate <image-file>
Examples
/visa-doc-translate RetirementCertificate.PNG
/visa-doc-translate BankStatement.HEIC
/visa-doc-translate EmploymentLetter.jpg
Output
Creates <filename>_Translated.pdf with:
- Page 1: Original document image (centered, A4 size)
- Page 2: Professional English translation
Requirements
Python Libraries
pip install pillow reportlab
OCR (one of the following)
macOS (recommended):
pip install pyobjc-framework-Vision pyobjc-framework-Quartz
Cross-platform:
pip install easyocr
Tesseract:
brew install tesseract tesseract-lang
pip install pytesseract
How It Works
- Converts HEIC to PNG if needed
- Checks and applies EXIF rotation
- Extracts text using available OCR method
- Translates to professional English
- Generates bilingual PDF
Perfect For
- Australia visa applications
- USA visa applications
- Canada visa applications
- UK visa applications
- EU visa applications
License
MIT