ai-agent

meeting-schedules-parser

Parser for Meeting Workbook and Watchtower Study JWPUB and EPUB files
54 stars8 forksTypeScriptUpdated 10/21/2026100% free · open source
What it does

Parses Meeting Workbook and Watchtower Study JWPUB and EPUB files to extract meeting schedules and other relevant data.

When to use it
  • •When you need to automate the process of extracting meeting schedules from digital publications
  • •When you want to analyze meeting data from JWPUB and EPUB files in a structured format
  • •When you are building an application that requires integration with Watchtower Study or Meeting Workbook data
Ready-to-paste prompt
ts-node parser.ts path/to/meeting_workbook.jwpub > meeting_schedules.json
Heads up: Make sure you have Node.js and TypeScript installed on your system, and that you have the necessary permissions to read and write files in the project directory
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/meeting-schedules-parser && curl -fsSL https://workflowstacks.com/api/skills/meeting-schedules-parser/claude-skill -o ~/.claude/skills/meeting-schedules-parser/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How meeting-schedules-parser works
Codeflow
Free to inspect

Meeting-schedules-parser is a medium TypeScript project (~3.6k lines across 80 code files, plus 51 test files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, MIT license, has a test suite.

Size
Medium codebase
~3.6k lines · 80 code files · 30 min skim
Setup
Some technical setup
Comfortable with a terminal? 20–40 min. Otherwise ask a dev.
Runs on
Node.js
No API keys detected
TypeScript 93%JavaScript 7%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENT.md
    The instructions the AI actually follows
  3. 3
    package.json
    Dependencies and the commands it exposes
  4. 4
    src/browser/index.ts
    Inside src/ — the main logic begins here
  5. 5
    example/index.ts
    A worked example — copy this to get going
What's in each folder
src/Core code — the actual logic110 files
client/Frontend / UI12 files
example/Examples you can copy2 files
cypress/Folder5 files
scripts/Helper scripts1 files
test/Tests — proof it works142 files
.github/CI / automation (GitHub Actions)13 files
.vscode/Editor / agent settings2 files
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Quick Actions
Details
Creator
sws2apps
Language
TypeScript
Category
ai-agent
Published
12/6/2021

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/meeting-schedules-parser.svg)](https://workflowstacks.com/skills/meeting-schedules-parser?utm_source=github&utm_medium=badge)
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