Agent skill

Fa Feedback

by fantastic-admin in fantastic-admin/basic

当用户在使用 fa- 系列技能(如 fa-framework-settings、fa-slot-creator、fa-form-builder、fa-route-generator、fa-store-generator、fa-page-optimizer、fa-theme-customizer 等)时,在同一个目标上经历了 3…

MITAuto-check passedFrontend & Design

Install Fa Feedback

skills CLI
$ npx skills add fantastic-admin/basic --skill fa-feedback -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install fantastic-admin/basic fa-feedback --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/fantastic-admin/basic.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fa-feedback .claude/skills/fa-feedback && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
fa-feedback
GitHub stars
3.4k
Token cost
~610 tokens
SKILL.md length
70 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

当用户在使用 fa- 系列技能(如 fa-framework-settings、fa-slot-creator、fa-form-builder、fa-route-generator、fa-store-generator、fa-page-optimizer、fa-theme-customizer 等)时,在同一个目标上经历了 3…

  • Works in 3 steps: 同一目标的修改次数 >= 3 次:用户针对同一个功能点或配置项,已经要求修改 3… → 用户表达持续不满:用户连续使用"不对"、"还是不行"、"再试试"、"跟我说的不一样… → 循环修改模式:修改 A -> 改回 -> 再改 A,出现来回反复的情况
  • Tasks that involve Forms and validation
  • SKILL.md covers 触发条件 and 执行流程
  • Calls python3; reaches github.com

What it does

Fa Feedback is an agent skill from fantastic-admin/basic. 当用户在使用 fa- 系列技能(如 fa-framework-settings、fa-slot-creator、fa-form-builder、fa-route-generator、fa-store-generator、fa-page-optimizer、fa-theme-customizer 等)时,在同一个目标上经历了 3 次及以上的修改仍未达到预期效果,必须触发此技能。触发信号包括:用户反复要求调整同一处配置或代码、连续说"不对"/"再改改"/"还是不行"、对同一个功能点多次提出修正意见。即使用户没有明确表示"上报"或"反馈",只要检测到反复沟通修改的模式,就应主动触发。

Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Frontend & Design, covering Forms and validation. It works with shadcn/ui and Vue.js. The repository describes itself as: ⭐⭐⭐⭐⭐ 面向 AI 编程的管理系统框架,兼容PC、移动端。AI-oriented management system framework, compatible with PC and mobile device. The licence is MIT.

When your agent uses it

  • Tasks that involve Forms and validation

Example prompts

  • “、对同一个功能点多次提出修正意见。即使用户没有明确表示”
  • “/fa-feedback”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 同一目标的修改次数 >= 3 次:用户针对同一个功能点或配置项,已经要求修改 3 次及以上
  2. 用户表达持续不满:用户连续使用"不对"、"还是不行"、"再试试"、"跟我说的不一样"等表述
  3. 循环修改模式:修改 A -> 改回 -> 再改 A,出现来回反复的情况

What it can do on your machine

Read from SKILL.md and the folder at commit 1b5961e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fa Feedback loads about 610 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 70 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~610

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from fantastic-admin/basic at commit 1b5961e, republished under its MIT licence (© fantastic-admin). 70 words, ~610 tokens.

Download SKILL.mdSave it as .claude/skills/fa-feedback/SKILL.md (or your agent's skills folder).
name
fa-feedback
description
当用户在使用 fa-* 系列技能(如 fa-framework-settings、fa-slot-creator、fa-form-builder、fa-route-generator、fa-store-generator、fa-page-optimizer、fa-theme-customizer 等)时,在同一个目标上经历了 3 次及以上的修改仍未达到预期效果,必须触发此技能。触发信号包括:用户反复要求调整同一处配置或代码、连续说"不对"/"再改改"/"还是不行"、对同一个功能点多次提出修正意见。即使用户没有明确表示"上报"或"反馈",只要检测到反复沟通修改的模式,就应主动触发。

Fantastic-admin 问题反馈

当用户在使用 fa-* 系列技能时遇到反复修改仍无法达到预期的情况,这通常意味着框架本身可能存在改进空间(比如 skill 指令不够精确、框架 API 不够直观、文档缺失等)。此时应主动询问用户是否愿意将问题反馈给框架作者。

触发条件

在当前对话中,如果满足以下任一条件,则触发此技能:

  1. 同一目标的修改次数 >= 3 次:用户针对同一个功能点或配置项,已经要求修改 3 次及以上
  2. 用户表达持续不满:用户连续使用"不对"、"还是不行"、"再试试"、"跟我说的不一样"等表述
  3. 循环修改模式:修改 A -> 改回 -> 再改 A,出现来回反复的情况

执行流程

第一步:分析问题

回顾当前对话历史,提炼以下信息:

  1. 使用的技能:用户在使用哪个 fa-* 技能
  2. 用户的原始需求:用户最初想要实现什么
  3. 反复修改的焦点:哪个具体的配置项/代码/功能点在被反复调整
  4. 未达预期的原因:为什么始终无法满足用户的需求(是 skill 指令有误?框架 API 限制?还是理解偏差?)
第二步:询问用户

用以下方式询问用户(注意语气要友好自然,不要让用户感到被指责):

我注意到在 [具体功能] 上我们已经来回调整了好几次,这很可能说明框架的 [skill/文档/API] 在这方面有改进空间。

你是否愿意将这个问题反馈给 Fantastic-admin 的作者?这有助于改进框架,让以后的使用体验更好。

如果你同意,我会帮你整理一份精简的问题描述,然后打开 GitHub Discussions 页面,内容会自动填好,你只需要检查一下就可以提交。
  • 如果用户同意,继续第三步
  • 如果用户拒绝,尊重用户的决定,继续协助解决当前问题,不再提及反馈
第三步:整理反馈内容

生成精简的反馈报告,格式如下:

标题(简洁明了,一句话概括问题):

[技能名称] 在 [场景] 下无法正确 [操作]

正文(使用 Markdown 格式):

markdown
## 问题描述

[一句话说明用户想做什么,以及遇到了什么问题]

## 使用的技能

[fa-xxx-xxx]

## 复现步骤

1. [用户的原始请求]
2. [第一次修改及结果]
3. [后续修改及结果]

## 期望行为

[用户期望的结果是什么]

## 实际行为

[实际发生了什么,为什么不符合预期]

## 可能的原因

[基于分析,推测问题可能出在哪里,比如 skill 指令、框架 API、默认配置等]

内容整理原则:

  • 精简:只保留关键信息,去掉对话中的冗余内容
  • 客观:描述事实,不添加情绪化表达
  • 可操作:让框架作者看到后能理解问题并采取行动
第四步:生成链接并打开

将整理好的标题和正文通过 URL 参数编码,拼接到 GitHub Discussions 链接中:

https://github.com/orgs/fantastic-admin/discussions/new?category=通用&title={编码后的标题}&body={编码后的正文}

使用以下方式生成并打开链接:

bash
# 生成 URL 编码的链接并打开
python3 -c "
import urllib.parse
import subprocess

title = '''在此填入标题'''
body = '''在此填入正文'''

params = urllib.parse.urlencode({
    'category': '通用',
    'title': title,
    'body': body
}, quote_via=urllib.parse.quote)

url = f'https://github.com/orgs/fantastic-admin/discussions/new?{params}'
print(f'链接已生成:{url}')
subprocess.run(['open', url])
"

打开链接后,告诉用户:

已在浏览器中打开 GitHub Discussions 页面。请检查预填的内容是否准确,确认无误后点击提交即可。

如果页面中的标题和内容没有自动填充(GitHub Discussions 可能不支持 URL 参数预填),你可以手动复制以下内容:

**标题**:[标题内容]

**内容**:
[正文内容]

始终同时展示原文内容作为备选方案,确保用户无论 URL 参数是否生效都能顺利提交反馈。

第五步:继续协助

反馈流程完成后,继续协助用户解决当前的问题,不要因为反馈流程中断用户的工作。

© fantastic-admin, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/fa-feedback of fantastic-admin/basic.

Open the folder on GitHubat commit 1b5961e

Compare with similar skills

Fa Feedback next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fa Feedback compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fa Feedback this skillfantastic-admin/basic3.4k—~610Automated safety check: PassMIT
Buefy Vue UI Componentsbuefy/buefy9.5k—~8.2kAutomated safety check: PassMIT
Formkitformkit/formkit4.8k—~1.7kAutomated safety check: PassMIT
UithingBayBreezy/ui-thing729—~1.3kAutomated safety check: PassCustom licence
Reglevictorgarciaesgi/regle506—~840Automated safety check: PassMIT
Tailwind To Stylexshadcn-labs/shadcn-cssinjs123—~2.7kAutomated safety check: PassMIT

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Works with

Questions about Fa Feedback

What does Fa Feedback do?

当用户在使用 fa- 系列技能(如 fa-framework-settings、fa-slot-creator、fa-form-builder、fa-route-generator、fa-store-generator、fa-page-optimizer、fa-theme-customizer 等)时,在同一个目标上经历了 3…. Fa Feedback is an agent skill from fantastic-admin/basic.

When should I use Fa Feedback?

Fa Feedback fits situations like: tasks that involve Forms and validation.

How do I install Fa Feedback in Claude Code?

Run `npx skills add fantastic-admin/basic --skill fa-feedback -a claude-code`. Or copy the skill folder (skills/fa-feedback in fantastic-admin/basic) into .claude/skills/fa-feedback in your project. Claude Code loads it when a task matches its description.

How do I install Fa Feedback in Codex?

Run `npx skills add fantastic-admin/basic --skill fa-feedback -a codex`. Or copy the skill folder (skills/fa-feedback in fantastic-admin/basic) into .agents/skills/fa-feedback in your project. Codex loads it when a task matches its description.

Can I use Fa Feedback in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fantastic-admin/basic --skill fa-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fa-feedback, .gemini/skills/fa-feedback, .github/skills/fa-feedback and .opencode/skills/fa-feedback in your project.

What does Fa Feedback need to run?

Going by SKILL.md and its folder, Fa Feedback needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Fa Feedback access the network?

SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Fa Feedback safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Fa Feedback use?

Fa Feedback is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fa Feedback use?

About 610 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fa Feedback?

Skills that share tags, products or a category with Fa Feedback: Buefy Vue UI Components (buefy/buefy, 9.5k stars), Formkit (formkit/formkit, 4.8k stars), Uithing (BayBreezy/ui-thing, 729 stars) and Regle (victorgarciaesgi/regle, 506 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fa Feedback?

fantastic-admin (a GitHub organization) maintains it in fantastic-admin/basic, which has 3,414 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 29, 2026.

Source: fantastic-admin/basic on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.