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Clay Feedback

Organization
clay-run
clay-feedback

Clay feedback — send a bug report or product feedback to the Clay team via the `clay feedback` CLI.

Overview

Publisherclay-run
Repositoryagent-plugins
Skill nameclay-feedback
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 Clay Feedback 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/clay-feedback
  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/clay-feedback .claude/skills/clay-feedback
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clay Feedback 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 Clay Feedback 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 Clay Feedback 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.

Clay Feedback

Send feedback or a bug report to the Clay team using clay feedback. It reads the message from stdin and automatically attaches environment details.

The CLI does no confirmation of its own, so confirm with the user before sending.

Feedback is one-way: it lands in the Clay team's triage queue and nobody replies. When the user wants a human who responds — they explicitly ask for support, or the matter needs staff action (a disputed or duplicate charge, a refund, account recovery) — use clay support instead (see the clay skill's "Getting help and reporting problems"). Product feedback about billing or plans (confusing UX, a feature request) is still feedback and belongs here.

Steps

  1. Determine type. Default to feedback. Choose bug only when something that previously worked (or is established existing behavior) has regressed — it used to work and now doesn't. Choose feedback for everything else: missing behavior, feature requests, UX suggestions, confusing flows, "I expected X but Clay doesn't do that," errors that look like product gaps rather than regressions, and general product ideas. Missing behavior is feedback (closer to a feature request), not a bug. If unclear whether this is a regression, prefer feedback; only ask the user when they clearly mean either a regression or a request for new/missing behavior and you still can't tell which.

  2. Get feedback text. Use the argument if provided (e.g. /clay-feedback would love CSV export from the enrichment table). Otherwise ask the user what feedback or bug report they'd like to send.

  3. Confirm. Use your ask-user tool (AskUserQuestion; askUser inside the Clay app). List what the report will include, and offer "Send" / "Cancel":

    This report will include:

    • Type: {bug or feedback}
    • Your feedback: {feedback text}
    • Environment info (auto-collected)

    Send this feedback?

  4. If confirmed, send the message on stdin. The CLI reads the feedback from stdin. Do not pass it inline in the shell command (no heredoc, no echo): the feedback is arbitrary user text, and a here-doc delimiter or quote appearing in it would truncate or mis-parse the message — or let pasted text run as shell. Instead, write the text to a temp file with your file-writing tool (which never goes through the shell), then redirect that file into the command. Always pass --type bug or --type feedback from step 1.

    • Write the feedback text verbatim to a temp file with an unpredictable name (a shared fixed path lets other local sessions read or clobber it), e.g. /tmp/clay-feedback-<random>.txt.
    • Then run:
    bash
    clay feedback --type <bug|feedback> < /tmp/clay-feedback-<random>.txt
    rm -f /tmp/clay-feedback-<random>.txt

Frequently asked questions

What does the Clay Feedback AI skill do?

Clay feedback — send a bug report or product feedback to the Clay team via the `clay feedback` CLI.

Why use Clay Feedback on TypingMind?

Because you install it once and use it with any model. Clay Feedback 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 Clay Feedback in TypingMind?

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

Which AI models can use Clay Feedback?

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 Clay Feedback?

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

Is the Clay Feedback 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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