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jerlinn/jerlin-weread

Analysis updated 2026-05-18

★ 6ShellAudience · developer

TLDR

A streamlined CLI wrapper around WeChat Reading's official agent skill, cutting repeated API doc reading down to single commands.

Mindmap

mindmap
  root((jerlin-weread))
    What it does
      CLI wrapper
      Agent skill
      WeRead API
    Tech stack
      Shell
      WeChat Reading API
    Use cases
      Library lookup
      Reading profile
      Agent automation
    Audience
      Developers
      Agent builders

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Let an AI agent look up your WeChat Reading library without re-reading API docs each time.

USE CASE 2

Query specific WeRead data through a single CLI subcommand instead of assembling raw API calls.

USE CASE 3

Build a reading profile from your WeChat Reading activity over time.

USE CASE 4

Install the skill into an agent workflow with one npx command.

What is it built with?

ShellWeChat Reading API

How does it compare?

jerlinn/jerlin-wereadjonluca/dotfilessds/old-dot-files
Stars666
LanguageShellShellShell
Last pushed—2024-06-022024-10-13
Maintenance—DormantStale
Setup difficulty—easyeasy
Complexity—1/52/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

In plain English

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.

Copy-paste prompts

Prompt 1
Help me set up jerlin-weread and get my WEREAD_API_KEY configured.
Prompt 2
Show me the 17 subcommands available in weread.sh and what each one does.
Prompt 3
Use jerlin-weread to look up my current WeChat Reading progress.
Prompt 4
Explain how the references folder helps an agent avoid semantic mistakes with this skill.

Frequently asked questions

What is jerlin-weread?

A streamlined CLI wrapper around WeChat Reading's official agent skill, cutting repeated API doc reading down to single commands.

What language is jerlin-weread written in?

Mainly Shell. The stack also includes Shell, WeChat Reading API.

Who is jerlin-weread for?

Mainly developer.

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