doc-coauthoring SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 20 indexed copies. Same content hash, so the same checks give both the same grade.

doc-coauthoring from zhongkaifu/tensorsharp is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zhongkaifu/tensorsharp/doc-coauthoring@git:20260902.e91e7ca

Pins git:20260902.e91e7ca in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
zhongkaifu/tensorsharp
Path
TensorAgent/skills/doc-coauthoring/SKILL.md
Versions recorded
1
Latest version
git:20260902.e91e7ca, committed Sep 2, 2026
Size
15,815 bytes
Repository stars
651
License
BSD-3-Clause

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.

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

# Doc Co-Authoring Workflow

This skill provides a structured workflow for guiding users through collaborative document creation. Act as an active guide, walking users through three stages: Context Gathering, Refinement & Structure, and Reader Testing.

## When to Offer This Workflow

**Trigger conditions:**
- User mentions writing documentation: "write a doc", "draft a proposal", "create a spec", "write up"
- User mentions specific doc types: "PRD", "design doc", "decision doc", "RFC"
- User seems to be starting a substantial writing task

**Initial offer:**
Offer the user a structured workflow for co-authoring the document. Explain the three stages:

1. **Context Gathering**: User provides all relevant context while Claude asks clarifying questions
2. **Refinement & Structure**: Iteratively build each section through brainstorming and editing
3. **Reader Testing**: Test the doc with a fresh Claude (no context) to catch blind spots before others read it

Explain that this approach helps ensure the doc works well when others read it (including when they paste it into Claude). Ask if they want to try this workflow or prefer to work freeform.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zhongkaifu/tensorsharp/doc-coauthoring@sha256:2e47d78846faeea4

The line at the top of this page pins the label git:20260902.e91e7ca, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5o6twslko5xzm4fp.svg)](https://markdownregistry.com/a/art_5o6twslko5xzm4fp)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 2, 2026.

versioncommittedcommitsizeaudit
git:20260902.e91e7ca latest2026-09-02 e91e7ca 15,815 BA view

Audit of the latest version

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 (15815 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

zhongkaifu/tensorsharp · 651 stars · license BSD-3-Clause · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5o6twslko5xzm4fp
GET https://markdownregistry.com/api/v1/resolve?ref=zhongkaifu/tensorsharp/doc-coauthoring
GET https://markdownregistry.com/api/v1/blob/2e47d78846faeea4a56e9809c52700087a15a2155a3f293a3efbaded81398ef4

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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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