Cli logo

Cli

Organization
clay-run
cli

Clay CLI — the primary scripting surface (JSON output, typed errors). Use when running or discovering `clay` commands. For what Clay can do and which skill to use, read the `clay` skill when it is available; otherwise run `clay --help`. Use `clay --help` for command names, flags, JSON shape, and error codes.

Overview

Publisherclay-run
Repositoryagent-plugins
Skill namecli
Stars
145
Forks
24
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by clay-run on GitHub. Read the source before you install it.

Installation

Install the Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/clay-run/agent-plugins/tree/main/clay/skills/cli
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/clay-run/agent-plugins.git /tmp/agent-plugins
mkdir -p .claude/skills
cp -r /tmp/agent-plugins/clay/skills/cli .claude/skills/cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The clay CLI

The clay CLI is Clay's primary programmatic surface, optimized for agents: JSON output and typed error codes. It authenticates via clay login (browser OAuth; run the setup skill once if clay whoami fails). The workspace is resolved from the stored session — there is no workspace id to pass.

Use workspace context internally

Once the CLI knows which workspace a credential is for, every successful command's JSON carries a workspace: { id, name } key naming the workspace it authenticated as. Use this information internally. Only mention authentication, the user, or the workspace when the user asks or an actual account/workspace issue needs their attention. Running the first command, receiving identity in a result, or loading this skill later in a conversation does not call for an identity announcement. This applies to managed and standalone CLI sessions. Don't ask the user for workspace information merely because the key is absent — it is absent when a command never had to resolve the workspace, and when its result is a top-level JSON array with nowhere to put it.

A browser sign-in covers every workspace the user selects on the consent screen, and leaves the first one selected active; clay login --device covers one workspace per run. Either way the workspaces already signed in are kept, so clay login again adds more rather than replacing them. clay workspaces list shows the ids and clay workspaces switch <id> moves between them, so switch explicitly to work in one the sign-in did not leave active. When a payload carries no workspace key and you need to know, clay workspaces current answers directly. Inside a managed Clay session none of this applies: the session runs in the one workspace it was created in, and clay login / clay logout / clay workspaces are unavailable there. Never ask the user to sign in — but if they ask to work in a different workspace, tell them to switch workspaces in Clay and start a new chat there, since this session cannot move.

Discovering commands

When a user asks what they can do with Clay, use the clay skill when it is available — that is the table of contents for product surfaces. This skill is how to invoke the CLI.

clay --help is the live list of top-level commands. The help text is a machine-readable spec: use it for command names, flags, JSON output shape, and error codes. Do not treat it as the answer to "what can I do with Clay?"

bash
clay --help                 # top-level commands
clay <group> --help         # a group's subcommands
clay <group> <cmd> --help   # exact flags, JSON output shape, and error codes

Prefer simple, single commands

Prefer running one plain clay command at a time. Avoid redirecting or substituting (&&, ||, >, $(…), backticks, $VAR, etc.) unless it's genuinely necessary — those forms fall through to a manual approval prompt, whereas a simple clay <group> <cmd> call is auto-approved.

Piping (|) is fine when the other stages are common read-only helpers like jq that transform stdin without opening files. Semicolon chaining (;) is narrower: each clause must be clay, or a literal echo / printf (not cat / jq / …). Anything else falls through to a prompt.

When to use the CLI vs the Public API

Use the CLI for scripting and agent-driven tasks in a shell. To build a service, app, or integration that talks to Clay over HTTP, use the Public API (public-api skill).

Full developer documentation (CLI reference, Public API reference, concepts, OpenAPI spec) lives at: https://developers.clay.com/llms.txt

Frequently asked questions

What does the Cli AI skill do?

Clay CLI — the primary scripting surface (JSON output, typed errors). Use when running or discovering `clay` commands. For what Clay can do and which skill to use, read the `clay` skill when it is available; otherwise run `clay --help`. Use `clay --help` for command names, flags, JSON shape, and error codes.

Why use Cli on TypingMind?

Because you install it once and use it with any model. Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/clay-run/agent-plugins/tree/main/clay/skills/cli. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cli?

As many as you like. As long as a model supports skills, you can use Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cli AI skill free?

It is published on GitHub by clay-run. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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