Feedback

OrganizationPopular

tinyfish-io

feedback

File structured feedback about TinyFish — bug reports, confusing setup steps, missing features, or a doctor diagnostic report. Creates a GitHub issue on tinyfish-io/tinyfish-cookbook with the user's approval; nothing is sent without an explicit preview.

Overview

Publisher	tinyfish-io
Repository	`tinyfish-cookbook`
Skill name	`feedback`
Stars	2.2K
Forks	333
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 tinyfish-io on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/tinyfish-io/tinyfish-cookbook/tree/main/plugins/tinyfish/skills/feedback

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/tinyfish-io/tinyfish-cookbook.git /tmp/tinyfish-cookbook
mkdir -p .claude/skills
cp -r /tmp/tinyfish-cookbook/plugins/tinyfish/skills/feedback .claude/skills/feedback

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

TinyFish Feedback

Collect the user's feedback, structure it, preview it, then file it. Nothing leaves the machine without the user seeing the exact text first.

Collect

Ask (briefly) for: what they were trying to do, what happened instead, and what they expected. For anything setup-, auth-, or connectivity-shaped, run npx -y @tiny-fish/cli@latest doctor and offer to attach its stdout JSON verbatim — it is schema-versioned and already redaction-safe (undeclared fields stripped on parse, messages authored rather than raw). Do not add fields, summarise it, or paste config contents alongside it. On exit 2 doctor produced no JSON — say so instead of attaching an empty report.

Structure

markdown
### What I was doing
…
### What happened
…
### Expected
…
### Environment
harness + version, CLI version (if known)
### Doctor report (optional)
`tinyfish doctor` stdout, verbatim

Preview gate

Show the complete issue body to the user and ask for an explicit yes before filing. Any edit they request happens before filing.

File

Preferred: write the body and the title to files, then gh issue create --repo tinyfish-io/tinyfish-cookbook --title "$(cat "$title_file")" --body-file "$body_file" (only if gh is installed and authenticated). Both values come from the user's free-form text (the body also carries doctor's JSON), so neither may reach the shell as literal text — including in a title=… assignment, where backticks or $(…) are evaluated just the same. cat's output is not re-parsed. Never build the command as a string or run it through eval.
Fallback: open a prefilled issue URL (https://github.com/tinyfish-io/tinyfish-cookbook/issues/new?title=…&body=…). Percent-encode both values — an unencoded # truncates the body and & splits it into junk parameters. URL length limits truncate long bodies anyway — if the body was truncated, tell the user and show the full text so they can paste the remainder.

This repo is public — remind the user of that in the preview if the report contains anything they typed free-form.

Frequently asked questions

What does the Feedback AI skill do?

Why use Feedback on TypingMind?

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

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

Which AI models can use 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 Feedback?

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

Is the Feedback AI skill free?

Yes. It is published on GitHub by tinyfish-io under the MIT 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.

View all

Api Design

affaan-m

CommunityPopular

Patrones de diseño REST API incluyendo nomenclatura de recursos, códigos de estado, paginación, filtrado, respuestas de error, versionado y rate limiting para APIs de producción.

Backend Patterns

Patrones de arquitectura backend, diseño de API, optimización de base de datos y buenas prácticas del lado del servidor para Node.js, Express y rutas API de Next.js.

Coding Standards

Convenciones de codificación base entre proyectos para nomenclatura, legibilidad, inmutabilidad y revisión de calidad de código. Usar skills de frontend o backend para patrones específicos de…

Continuous Learning V2

affaan-m

CommunityPopular

Sistema de aprendizaje basado en instintos que observa sesiones mediante hooks, crea instintos atómicos con puntuación de confianza y los evoluciona en skills/comandos/agentes. v2.1 agrega instintos…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

TinyFish Feedback

Collect

Structure

Preview gate

File

Frequently asked questions

Related AI Skills

Set up your own AI workspace now