gws-chat

Overview of gws-chat skill

What gws-chat does

The gws-chat skill helps you manage Google Chat spaces and messages through the gws CLI, with a focus on practical workflow automation rather than one-off chat prompting. It is a good fit if you need repeatable Chat operations, want to script against Chat resources, or need a structured way to call Google Chat APIs from an agent.

Who should use this skill

Use the gws-chat skill if you already work in the Google Workspace ecosystem and need reliable Chat actions from automation, not just manual UI use. It is especially useful for admins, tooling builders, and agents that need to create, inspect, or maintain Chat content with fewer ad hoc steps.

What matters before install

The main adoption constraint is that gws-chat depends on the broader gws setup and shared auth rules. If you want a quick gws-chat install, make sure you can support the prerequisite shared skill, the required binary, and the permissions needed for the Chat resource you plan to touch.

How to Use gws-chat skill

Install and prerequisite check

Install with npx skills add googleworkspace/cli --skill gws-chat, then confirm the shared base skill exists at ../gws-shared/SKILL.md. The repository explicitly treats that shared file as required for auth, global flags, and security rules, so gws-chat usage only becomes dependable after the shared layer is in place.

Read these files first

Start with skills/gws-chat/SKILL.md, then read ../gws-shared/SKILL.md before you attempt real actions. If you are building on the skill or debugging behavior, inspect the linked helper command ../gws-chat-send/SKILL.md and trace any referenced API resource names from there; this is the fastest way to understand the intended workflow without guessing from the command surface alone.

Turn a rough goal into a usable prompt

A good gws-chat guide prompt names the resource, method, target space, and outcome. For example, instead of asking to “handle Chat,” ask to “use gws chat to list spaces I can access, then send a message to the team space summarizing today’s deployment status.” Specific input matters because the skill is organized around gws chat <resource> <method> [flags], so the agent needs a concrete resource and method to invoke it well.

Practical usage tips

The repository exposes Chat API resource coverage such as customEmojis, which signals that this skill is meant for real administrative and content operations, not just sending text. When using gws-chat for Workflow Automation, prefer compact task definitions, include any compliance or permission constraints up front, and mention whether the output should be a direct action, a dry run, or a stepwise plan.

gws-chat skill FAQ

Is gws-chat only for sending messages?

No. gws-chat covers Chat resources and methods, and the presence of helper commands like +send shows that message sending is only one part of the workflow. If your task is broader than posting text, the skill can still be the right fit.

Do I need the shared gws layer?

Yes. The skill’s own instructions call out ../gws-shared/SKILL.md as a prerequisite, so a standalone prompt is not enough if you want reliable auth and flag handling. That dependency is the main reason a plain prompt is weaker than the gws-chat skill.

Is this beginner-friendly?

It is beginner-friendly if you can describe a Chat task in operational terms, but it is not ideal if you do not know which space, message, or API resource you need. Beginners usually get better results when they start with a simple, bounded task and let the skill handle the CLI structure.

When should I not use it?

Do not use gws-chat if you only need a casual one-off reply in the Chat UI, or if you do not have the gws binary and Workspace permissions in place. It is strongest when the goal is repeatable automation, not conversational exploration.

How to Improve gws-chat skill

Give the agent the missing operational details

The biggest quality gain comes from specifying the exact Chat target, desired action, and constraints. Strong input looks like: “List spaces I can access, identify the space for project updates, and draft a message summarizing the release window in under 80 words.” Weak input like “help with Chat” forces unnecessary guessing.

State permissions and safety boundaries

Because gws-chat works through Workspace APIs, results improve when you say whether the action should avoid destructive changes, whether it must respect admin-only limitations, and whether custom emojis or other organization-level features are expected to be available. This is especially important for gws-chat usage in shared or governed environments.

Iterate from inspect to action

If the first result is too broad, narrow the request by asking for a read-only discovery step first, then the write action second. That pattern reduces mistakes: “First identify the relevant space and confirm access; then send the message if the target exists.” For gws-chat for Workflow Automation, this two-step approach is often safer than asking for a single all-in-one operation.

Use the repo as a behavior map

When output quality stalls, revisit SKILL.md and the linked helper skill rather than rewriting the whole prompt. The repo’s command structure, resource names, and prerequisite note are the main signals that shape correct behavior, so aligning your request to those details usually improves the result faster than adding more wording.