Home / tencent / teamai-cli · skill-data/share/SKILL.md · GitHub

share skillA

Name: share
Author: tencent

share is agent-read markdown (skill) from tencent/teamai-cli: Turn a session into a team learning: summarize what was solved, discovered or worked around, and publish it to the team knowledge base with `teamai contribute`. Loaded on demand by the teamai discovery stub, and by the friction reminder that ends a session worth sharing..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Contribute — share what a session taught you with the team

Summarize what this AI coding session taught you and push it to the team knowledge base.

**Write the document in Simplified Chinese**, as earlier releases required. Commands, flags,
URLs, paths and code identifiers stay as they are.

## When to Use

- When teamai suggests this session has valuable content worth sharing
- When you've solved a tricky problem and want to document the solution
- When you've discovered a useful workflow or pattern
- After a long session with diverse tool usage

## How It Works

1. **Summarize**: review the tools used, the problems solved and the patterns found in this session
2. **Write the document**: a Markdown document (language as above) covering:
   - What the task or problem was
   - The key decisions and why they were made
   - The solution, workaround or pattern discovered
   - Which tools or skills proved especially useful
   - Pitfalls and things to watch out for
3. **Save it**: write the document to a temporary file
4. **Push it to the team**: run `teamai contribute --file <path> --title "<title>"`

## Document Template
…

Read the whole file at its exact version.

How to install

Latest version

mdr add tencent/teamai-cli/share@git:20260923.ca6e512

Exact content

mdr add tencent/teamai-cli/share@sha256:46776fae2c5c7d94

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

[![mdr](https://markdownregistry.com/badge/art_mp3lvtevxj5u5xjk.svg)](https://markdownregistry.com/a/art_mp3lvtevxj5u5xjk)

1 badge views in 30 days

Versions

version	committed	commit	size	audit
git:20260923.ca6e512 latest	2026-09-23	ca6e512	2,910 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Deterministic, no model, 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 (2910 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

tencent/teamai-cli · 4,976 stars · license NOASSERTION · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mp3lvtevxj5u5xjk
GET https://markdownregistry.com/api/v1/resolve?ref=tencent/teamai-cli/share
GET https://markdownregistry.com/api/v1/blob/46776fae2c5c7d94506b1405e972d6b1cd0fd957cd6f3037e7b5f13726c9dd0c

Your agent 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.