CLI, Skill, or Raw API: How to Choose the Right md2wechat Entry Point

Installation and setup paths are distribution evidence, not proof of end-to-end compatibility with any named host. Treat every Agent runtime as a validation candidate until install, discovery, conversion, preview, and—when applicable—draft creation pass there.

Many first-time md2wechat users spend too much time on entry-point decisions before they have even validated the workflow itself.

The loop usually sounds like this:

• should I start with the CLI
• should I install the skill first
• should I jump straight into the raw API

This feels complicated only when the goal is still unclear.

The shortest answer

CLI, skill, and raw API are not three separate capability sets.

They are three entry points.

• CLI is best for local validation
• skill is a candidate to validate when you want the workflow inside an agent runtime
• raw API is best when you already know this belongs in your own service or automation layer

If the result you need is still unclear, debating the entry point first usually wastes time.

Why I still like the CLI as a first step

The CLI is the fastest way to answer a few practical questions:

• does the command actually run
• does the runtime expose the capabilities you need
• does preview succeed
• is this workflow worth wiring further

That stage matters a lot.

You do not need the full system connected before you know whether the path is real.

When to validate the skill as the next move

If you work inside Claude Code, Codex, OpenCode, Claudian, or OpenClaw, begin by validating the documented Skill distribution path in that runtime.

Its main value is not “more features.”

Its main value is flow.

After the end-to-end checks pass, you can choose to keep the capability inside that runtime.

But one misunderstanding shows up often:

the skill does not magically replace the underlying runtime setup.

If the CLI is not installed or not callable, the skill cannot hide that forever.

When raw API becomes the right move

Some people assume raw API is the “more serious” choice and should therefore come first.

That is not always true.

Raw API fits better when:

• you already know this belongs in a backend
• you need to wire it into your own task flow, messaging system, or publishing system
• you expect to maintain that pipeline long term

If you are still validating whether the workflow is worth adopting at all, raw API often adds complexity too early.

The order I recommend

The order I trust more is:

first, validate locally with the CLI.
second, if your work already lives in an agent runtime, validate the skill and add it only after installation, JSON discovery, conversion, preview, and—when applicable—draft creation all pass in that runtime.
third, if the workflow clearly belongs in a business system, add raw API.

This is not the only valid order, but it is the least wasteful for most people.

The most common mistakes

Mistake one: treating the skill as the automatic first step

If the underlying command is not healthy, the skill can hide the problem for a while instead of solving it.

Mistake two: treating raw API as the professional choice that should always come first

Professional is not the same as low-friction.
Quite often it just moves complexity earlier than necessary.

Mistake three: building the full system before validating the value

That usually means spending energy on peripheral setup instead of proving the workflow first.

Closing thought

Entry-point choice is not about which path sounds more advanced.

It is about which path best fits the question you are trying to answer right now.

Once the current stage is clear, the entry point becomes much easier to choose.

Continue with:

• How to Choose md2wechat Modes Without Mixing Everything Together
• Why md2wechat Works Better as a Discovery-First Agent Workflow
• Setup and Troubleshooting