Wjs Looping Feedback

Community

jianshuo

wjs-looping-feedback

Use when the user wants to add an in-site feedback loop to a website repo — a floating "提个建议" button where allowlisted visitors submit suggestions that become a GitHub Issue, which GitHub Actions turns into an automatic code change via Claude Code, auto-merges and deploys, and records on a /_feedback dashboard with one-click revert. Triggers — "给网站加个反馈对话框", "提一句话就自动改网站", "装上反馈闭环", "feedback loop", "/wjs-looping-feedback".

Overview

Publisher	jianshuo
Repository	`claude-skills`
Skill name	`wjs-looping-feedback`
Stars	137
Forks	22
Bundled files	13
License	MIT
Links	Skill source Repository

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.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by jianshuo on GitHub. Read the source before you install it.

Installation

Install the Wjs Looping 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.
https://github.com/jianshuo/claude-skills/tree/main/wjs-looping-feedback
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.

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/jianshuo/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/wjs-looping-feedback .claude/skills/wjs-looping-feedback

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

Use it in TypingMind

Enable Wjs Looping 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 Wjs Looping 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 Wjs Looping 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.

wjs-looping-feedback

Installs a self-driving feedback loop into any website repo. Runs entirely on the repo owner's own GitHub Actions, authenticated with their Pro/Max OAuth token or their own ANTHROPIC_API_KEY — no extra service or backend.

What it installs

A floating feedback button (prefills a GitHub Issue — no backend, no keys client-side).
.github/workflows/feedback.yml — allowlist gate → Claude Code Action → auto-commit → push to main (auto-deploy) → ledger + dashboard update → close issue.
/_feedback dashboard — every suggestion, what Claude did, commit, status, one-click revert.
.feedback/ runtime: feedback-lib.mjs, feedback-finalize.mjs, INSTRUCTIONS.md, feedback-ledger.json, config.json.

How it works

visitor clicks button → fills suggestion → prefilled GitHub Issue (label feedback) → Actions checks the author is in FEEDBACK_ALLOWLIST (else closes the issue) → Claude Code edits the site per .feedback/INSTRUCTIONS.md → workflow commits to main, updates the ledger + dashboard → the deploy ships it → the issue gets a comment with the commit and a link to /_feedback. Revert is the same loop driven by a revert: #N issue.

Deploy triggering — read before you install (common gotcha)

The workflow pushes to main with the built-in GITHUB_TOKEN. Two cases:

External push-deploy host (Cloudflare Pages git-connect, Vercel, Netlify): their webhook fires on every push, so the bot's commit deploys automatically. Nothing to do.
Deploy is itself a GitHub Actions workflow in the SAME repo (e.g. GitHub Pages via Actions): GitHub deliberately does NOT let a GITHUB_TOKEN push trigger another workflow (recursion prevention), so the deploy workflow's on: push will NOT fire — the change lands on main but never goes live. Bridge it by adding a workflow_run trigger to the deploy workflow (see references/install.md step 4.5).

To install

Read references/install.md and follow it in the target repo. It detects the site type (Hugo / Next.js / Astro / static), copies assets, injects the widget, and asks the user for exactly two things: the allowlist of GitHub usernames and the auth (Pro/Max OAuth token via claude setup-token, or an ANTHROPIC_API_KEY).

Scope (route 1)

Runs in the user's own repo with their own auth. Submitters need a GitHub account; only allowlisted authors trigger work. Not a hosted service — no anonymous submit, no billing, no multi-tenant. (A future GitHub-App packaging would reuse every asset here.)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wjs Looping Feedback AI skill do?

Why use Wjs Looping Feedback on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jianshuo/claude-skills/tree/main/wjs-looping-feedback. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wjs Looping 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 Wjs Looping Feedback?

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

Is the Wjs Looping Feedback AI skill free?

Yes. It is published on GitHub by jianshuo 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

wjs-looping-feedback

What it installs

How it works

Deploy triggering — read before you install (common gotcha)

To install

Scope (route 1)

Bundled files

Frequently asked questions

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