Workflows Claygent logo

Workflows Claygent

Organization
clay-run
workflows-claygent

Build and run Claygent agent nodes in Clay workflows. Use when the user asks for custom LLM research, reasoning, classification, drafting, or summarization over records; when no existing routine fits a Claygent task; or when creating or editing a workflow `agent` node.

Overview

Publisherclay-run
Repositoryagent-plugins
Skill nameworkflows-claygent
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 Workflows Claygent 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/workflows-claygent
  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/workflows-claygent .claude/skills/workflows-claygent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Workflows Claygent 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 Workflows Claygent 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 Workflows Claygent 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.

Claygents in workflows

A Claygent in a workflow is a dedicated nodeType: "agent" node. It is not a Clay action or function, so its absence from clay workflows actions list does not make Claygent unavailable. Use /workflows-discover-actions only for tool nodes.

If an existing routine already performs the requested task, use the /routines skill. Otherwise build the Claygent workflow here. Read the main /workflows skill for graph, publishing, testing, and presentation rules.

Create or reuse the Claygent

  • To reuse a regular Claygent, find it with clay claygents list --search <text>, then set only agentClaygentId on the node. Do not also send its name, prompt, model, or outputs.
  • To create one, send agentName, agentPrompt, and agentModel together in the agent node's first clay workflows nodes create call. Use the user's requested model when it is available; do not silently substitute a different model.
  • Put every prompt variable in top-level inputSchema.properties. Wire upstream values with sourceNodeId and sourcePath, then use the property name as {{variable}} in the prompt.
  • Set outputSchema to a flat field map with a useful description on every field. A select field's options value is a JSON-encoded string containing a non-empty array of objects with non-empty text, for example:
json
{
  "signal": {
    "type": "select",
    "description": "Strength of the evidence",
    "options": "[{\"text\":\"Strong\"},{\"text\":\"Weak\"},{\"text\":\"None\"}]"
  }
}

If a write rejects an output field or schema, use the validation message to correct it before testing. Do not retry the same shape.

Choose the source

  • For a bounded Clay Search population, use a Find leads trigger and follow the trigger guidance in the main /workflows skill. Preserve the latest search query and its explicit overall limit; never use an estimated result count as the run limit or turn search results into workflow inputs by hand.
  • For Audiences records, use the trigger/backfill guidance in the main /workflows skill.
  • For explicit inputs supplied by the caller, use a manual trigger and wire its input schema.

Each Find Leads or Audiences source record starts one workflow run, so the downstream Claygent reads one person's or company's fields directly from the trigger node.

Research responsibility

When the task requires public evidence, put the research criteria and source expectations in the Claygent prompt. The Claygent performs the per-record web research during its run; the host agent should not manually research every record before launching it.

When the user needs an exact criterion checked by the research — a funding event's date, a launch in the last 12 months — have the Claygent return it as an output field, left empty when the evidence does not establish it rather than guessed. Add a conditional that stops non-matching records only when the user asked to keep just the matches ("only companies that…", "skip anyone without…"); otherwise every record continues with the field as returned. Do not claim the Claygent's future research has already verified it.

Test, run, and deliver

  1. Validate the graph.
  2. Test the Claygent on one representative record before launching the batch. Inspect the actual node output and correct schema, model, prompt, or tool failures first.
  3. Bound and preflight the full run using the source query limit and the cost policy from workflows-discover-actions/cost-and-budget.md.
  4. Publish when the source trigger requires the live graph, start the source, and record the launch time.
  5. List the runs created by that trigger, follow pagination, and wait for terminal states. Read actual Claygent outputs with clay workflows runs get; use --node-id or --verbose when needed.
  6. Build requested CSVs or reports from completed run outputs, not Search preview rows. Include completed/failed counts and identify failed records in partial deliveries.

Frequently asked questions

What does the Workflows Claygent AI skill do?

Build and run Claygent agent nodes in Clay workflows. Use when the user asks for custom LLM research, reasoning, classification, drafting, or summarization over records; when no existing routine fits a Claygent task; or when creating or editing a workflow `agent` node.

Why use Workflows Claygent on TypingMind?

Because you install it once and use it with any model. Workflows Claygent 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 Workflows Claygent in TypingMind?

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

Which AI models can use Workflows Claygent?

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 Workflows Claygent?

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

Is the Workflows Claygent 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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