mcpField
A
agent-cli-creator

agent-cli-creator

github.com/better-world-aiDevelopment43299 installsUpdated 9w ago
Repository

About agent-cli-creator

A skill that guides an AI coding agent through building a website-automation CLI backed by the kimi-webbridge browser daemon. Its process covers requirements, site API exploration, incremental implementation and verification, then creation of a companion skill.

Key features

  1. 01Check kimi-webbridge status
  2. 02Interview for site and feature requirements
  3. 03Explore and verify site APIs
  4. 04Implement and test the CLI incrementally
  5. 05Create a companion CLI skill

Use cases

  1. 01Plan an automation CLI for a target website
  2. 02Verify APIs in the browser session before coding
  3. 03Implement and validate CLI commands one at a time

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/better-world-ai/x-cli --skill agent-cli-creator

After installing, type/agent-cli-creatorin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
go-layout.md
site-exploration.md
companion-skill-template.md
login-handling.md

Details

From the project README

Agent CLI Creator

Guide an AI Coding Agent to build a website-automating CLI tool backed by the kimi-webbridge browser daemon.

Phase 1: Prerequisites

~/.kimi-webbridge/bin/kimi-webbridge status
ResultAction
running: true + extension_connected: trueProceed
Command not foundTell user to visit https://www.kimi.team/features/webbridge (中文: https://www.kimi.team/zh-cn/features/webbridge) to install
running: false or extension_connected: falseInvoke the kimi-webbridge skill → references/operations.md

Phase 2: Requirements Interview

Ask the user in one message, wait for reply:

  1. Target website URL (required)
  2. Programming language — Go (recommended if in this repo) / Python / Node.js / Other
  3. Login required? — Yes / No / Unknown (can skip for now)
  4. First 1–3 features — pick from common categories:
    • Read: home feed, search, profile page, post/item detail
    • Write: create post, like/unlike, comment, bookmark/save
    • Account: login-status, user info

Explain iterative development to the user:

"We'll start with 1–3 features to validate the approach end-to-end before adding more. Site archaeology for features you don't need yet wastes time. You can always add features later by re-running from Phase 3."

Phase 3: Site Archaeology (mandatory before writing any code)

This phase is non-negotiable. Do not write business logic until archaeology is complete.

For each planned feature, run the full protocol in references/site-exploration.md.

The protocol yields: API endpoint, required headers, response shape, and a verified evaluate call that proves the API works inside the browser session.

Only proceed to Phase 4 when you have a working evaluate call for every planned feature.

Phase 4: Implement

Order matters — do not skip ahead:

  1. Project scaffold — see references/go-layout.md for Go; adapt conventions for other languages
  2. login-status command — if the site requires login; see references/login-handling.md
  3. Read commands — no side effects; implement and test first
  4. Write commands — side effects (post, like, etc.); implement after reads work

After each command is implemented, immediately verify before moving on:

{platform}-cli {command} --help          # --help must work
{platform}-cli {command} [args]          # must return {"ok": true, "data": ...}

For write commands, also verify the error path (e.g., wrong ID, missing flag) returns {"ok": false, ...} with non-zero exit.

If verification fails, fix before implementing the next command.

Universal CLI contract (all languages):

  • --help / -h must work on every command
  • All output: {"ok": true, "data": ...} or {"ok": false, "error": {"code": "...", "message": "..."}}
  • Non-zero exit code on error

Go: 用 go mod init {platform}-cli 初始化独立 module,按 references/go-layout.md 的结构搭建,包含自己的轻量 browser client 和 output helper。

Phase 5: Write Companion Skill

After the CLI works, create ~/.claude/skills/{platform}-cli/SKILL.md using the template in references/companion-skill-template.md.

Purpose: tells a future AI agent how to use the CLI, not how to build it. The two skills serve different audiences at different times.

Comments

Markdown supported