This file is byte-identical to the first copy the registry indexed, one of 6 indexed copies. Same content hash, so the same checks give both the same grade.
doc from letta-ai/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# DOCX Skill
## When to use
- Read or review DOCX content where layout matters (tables, diagrams, pagination).
- Create or edit DOCX files with professional formatting.
- Validate visual layout before delivery.
## Workflow
1. Prefer visual review (layout, tables, diagrams).
- If `soffice` and `pdftoppm` are available, convert DOCX -> PDF -> PNGs.
- Or use `scripts/render_docx.py` (requires `pdf2image` and Poppler).
- If these tools are missing, install them or ask the user to review rendered pages locally.
2. Use `python-docx` for edits and structured creation (headings, styles, tables, lists).
3. After each meaningful change, re-render and inspect the pages.
4. If visual review is not possible, extract text with `python-docx` as a fallback and call out layout risk.
5. Keep intermediate outputs organized and clean up after final approval.
## Temp and output conventions
- Use `tmp/docs/` for intermediate files; delete when done.
- Write final artifacts under `output/doc/` when working in this repo.
- Keep filenames stable and descriptive.
## Dependencies (install if missing)
Prefer `uv` for dependency management.
Python packages:
```
…
The line at the top of this page pins the label git:20260422.d32735f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (2988 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag
Source
GitHub
letta-ai/skills · 153 stars · license a license file GitHub does not identify · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_a62wohd4kq6bkvfz
GET https://markdownregistry.com/api/v1/resolve?ref=letta-ai/skills/doc
GET https://markdownregistry.com/api/v1/blob/0a635585817d1ac96e8e512114d08258b70f9e54ce0052078a258291ac13a8ed
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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