wiki skillA
wiki is agent-read markdown (skill) from tencent/teamai-cli: Make AI truly understand large codebases: for multi-repository, multi-microservice projects that have evolved over years, run architecture reverse-engineering + a Graph RAG graph + multi-language AST to compress a huge codebase into a structured knowledge base, where every conclusion traces back to a code line and every relation carries a confidence label. Suited to projects with 10+ repositories or microservices that AI cannot understand globally by reading the code directly. Triggers: architec.
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
# wiki: AI cognition engineering for large codebases
> Prerequisites: an accessible source directory (multiple repositories supported), Python 3, and an installed teamai CLI.
> The methodology, sub-agent prompts, templates and scripts ship with the CLI. Run `teamai skill path wiki` to get their absolute path;
> `{SKILL_DIR}` in this document refers to that path; a reference file you open on its own writes that directory as `SKILL_DIR` in braces.
> Write the knowledge-base documents in Simplified Chinese, as earlier releases did. When updating an existing knowledge base, keep its file names and headings; `validate_kb.py` accepts both the current English and the earlier Chinese headings.
> The Phase 0 structural baseline uses `teamai codebase --extract`. TeamAI does not ship a separate team-wiki CLI. No extra plugin is required.
…Read the whole file at its exact version.
How to install
mdr add tencent/teamai-cli/wiki@git:20260923.ca6e512mdr add tencent/teamai-cli/wiki@sha256:b2d26974cf86a56ePin 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.
[](https://markdownregistry.com/a/art_f2p745pxnqmg3jl6)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17871 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
tencent/teamai-cli · 4,976 stars · license NOASSERTION · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_f2p745pxnqmg3jl6 GET https://markdownregistry.com/api/v1/resolve?ref=tencent/teamai-cli/wiki GET https://markdownregistry.com/api/v1/blob/b2d26974cf86a56e9d63e44f413e75f19f81b6a3f0379a790bf3545a26718c41
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.
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