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Submitting Feedback

OrganizationPopular
letta-ai
submitting-feedback

Submits user-approved product feedback and bug reports about Letta Code to the Letta team. Load when the user reports a Letta Code bug, requests a product or developer change, or explicitly asks to send feedback. Do not load for corrections to the current agent's behavior or preferences; those are memory edits. Works with cloud-hosted and local agents. Ask before submitting unless the user already explicitly requested submission.

Overview

Publisherletta-ai
Repositoryletta-code
Skill namesubmitting-feedback
Stars
3.4K
Forks
411
Bundled files
Instructions only
LicenseApache-2.0
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 letta-ai on GitHub. Read the source before you install it.

Installation

Install the Submitting 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.
  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/letta-ai/letta-code.git /tmp/letta-code
mkdir -p .claude/skills
cp -r /tmp/letta-code/src/skills/builtin/submitting-feedback .claude/skills/submitting-feedback
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Submitting 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 Submitting 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 Submitting 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.

Submitting Feedback

Use this skill for product and developer feedback about Letta Code: reproducible bugs, broken features, confusing product behavior, and requested changes to the software or its developer-facing behavior.

Do not use this skill when the user corrects how the current agent should behave, communicate, remember, or work with them. Treat that as learning: make the appropriate memory edit so the correction changes the agent's future behavior. A user's frustration with the agent is not by itself product feedback and is not a reason to offer feedback submission.

If the user says yes, or directly asks you to submit feedback:

  1. Gather the relevant context already available in the conversation and environment. If a detail essential to understanding or reproducing the problem is missing, ask the user one focused question before submitting. Do not invent missing details.

  2. Write a concise, factual report in your own voice as the agent. Do not impersonate the user or make the report sound user-authored. The first line must disclose: Agent-submitted feedback on behalf of the user.

    Include:

    • Your agent name.
    • Who you are working with (the user's name or role, if known; otherwise say user not identified).
    • The task or goal underway when the problem occurred and enough surrounding context to understand why it mattered.
    • What actually happened, what the user expected, and the impact on the task.
    • Concrete evidence already available, such as exact error text, the failed command or action, relevant paths or links, and reliable reproduction steps. Distinguish what the user reported from what you observed or inferred.

    Prefer specific nouns and observable behavior over generic judgments. Do not submit context-free summaries such as “the feature is broken,” “the UX should be improved,” or polished product-language filler. Keep unknowns explicit rather than guessing.

  3. Submit it with:

bash
letta feedback --message '<feedback>'
  1. Tell the user whether submission succeeded. If it failed, report the safe CLI error and do not claim the team received it.

Do not include secrets, credentials, unrelated conversation content, or private file contents. The command adds the current agent and conversation identifiers so the team can find the relevant run.

Frequently asked questions

What does the Submitting Feedback AI skill do?

Submits user-approved product feedback and bug reports about Letta Code to the Letta team. Load when the user reports a Letta Code bug, requests a product or developer change, or explicitly asks to send feedback. Do not load for corrections to the current agent's behavior or preferences; those are memory edits. Works with cloud-hosted and local agents. Ask before submitting unless the user already explicitly requested submission.

Why use Submitting Feedback on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/submitting-feedback. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Submitting 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 Submitting Feedback?

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

Is the Submitting Feedback AI skill free?

Yes. It is published on GitHub by letta-ai under the Apache-2.0 license. 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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