jerlinn/jerlin-weread — explained in plain English
Analysis updated 2026-05-18
Let an AI agent look up your WeChat Reading library without re-reading API docs each time.
Query specific WeRead data through a single CLI subcommand instead of assembling raw API calls.
Build a reading profile from your WeChat Reading activity over time.
Install the skill into an agent workflow with one npx command.
| jerlinn/jerlin-weread | jonluca/dotfiles | sds/old-dot-files | |
|---|---|---|---|
| Stars | 6 | 6 | 6 |
| Language | Shell | Shell | Shell |
| Last pushed | — | 2024-06-02 | 2024-10-13 |
| Maintenance | — | Dormant | Stale |
| Setup difficulty | — | easy | easy |
| Complexity | — | 1/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
This is a reimplemented version of the official WeChat Reading (Weread) skill for AI agents. WeChat Reading is a Chinese e-book platform. The original skill required an agent to read through the full API documentation each time before constructing requests. This version wraps that API into a single CLI script with 17 subcommands so the agent can look up and call exactly what it needs in one command instead of repeating the same request pattern from scratch. Installation requires an API key obtained by logging into the Weread Skills page with a WeChat Reading account, then setting it as an environment variable. The skill itself is installed with a single npx command. It is structured with an intent routing file that defines general rules, a shell script containing the 17 CLI subcommands (with a help flag to check parameters and return values), and a references folder covering edge cases, rules, and workflows. The redesign is meant to make the skill easier for an agent to use correctly: calls funnel through the CLI script, decisions get made by reading the reference material, and unnecessary descriptive text has been trimmed out. The project notes it also adds reading profile construction, combining behavior data with driver layer collection to build a reader profile that can keep improving over time. The README is written primarily in Chinese and credits the official WeChat Reading team's WeRead Skill as the base this project optimizes. The API and underlying data belong to WeChat Reading, and use of the skill is subject to their terms of service.
A streamlined CLI wrapper around WeChat Reading's official agent skill, cutting repeated API doc reading down to single commands.
Mainly Shell. The stack also includes Shell, WeChat Reading API.
Mainly developer.
This repo across BitVibe Labs
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