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Agent Skill · 研究检索

feedback-triage(反馈分类)

feedback-triage 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

feedback-triage 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 57,864。

总安装 423周安装 18GitHub Stars 6下载 148核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:feedback-triage(反馈分类)
来源仓库:https://github.com/troykelly/claude-skills
仓库路径:skills/feedback-triage
安装命令:
npx skills add https://github.com/troykelly/claude-skills --skill feedback-triage
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/troykelly/claude-skills --skill feedback-triage

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

反馈分类技能将原始反馈转化为可执行的GitHub Issue。核心原则是调查优先于建单,确保问题理解准确。适用于UAT测试结果、用户报告等批量反馈处理场景。使用前需确认是否具备必要的仓库访问权限。feedback-triage 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

建议先阅读原始README了解调查流程和规范要求。

来源仓库内路径:skills/feedback-triage

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/troykelly/claude-skills --skill feedback-triag…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

feedback-triage 怎么安装?

在终端执行 npx skills add https://github.com/troykelly/claude-skills --skill feedback-triage。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

feedback-triage 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

feedback-triage 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

feedback-triage 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

feedback-triage 用的人多吗?

公开数据是累计安装 423 次,近一周安装 18 次,下载 148 次,GitHub 6 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

feedback-triage 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
feedback-triage

反馈分类 · 本页

4236接触敏感数据MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Feedback Triage

Overview

Process raw feedback into actionable, well-documented GitHub issues. Every feedback item is investigated before issue creation.

Core principle: Investigate first, issue second. Never create an issue without understanding what you're documenting.

Announce at start: "I'm using feedback-triage to investigate and create issues from this feedback."

When to Use This Skill

Use this skill when you receive:

TriggerExamples
UAT feedback"We have bugs from UAT testing..."
User testing results"Users reported the following issues..."
Bug reports"Here are the errors we found..."
Stakeholder feedback"The client wants these changes..."
QA findings"QA discovered these problems..."
Support escalations"Support tickets about..."
Production incidents"These errors are occurring in prod..."
Feature requests batch"Users have requested..."
UX review findings"The UX review identified..."

Key indicators:

  • Multiple items in one message
  • Raw feedback that needs investigation
  • Error logs, curl commands, or screenshots
  • Requests to "create issues" from feedback
  • Phrases like "bugs to resolve", "issues from UAT", "feedback to triage"

The Triage Protocol

Flow: Verify project board → Parse items → For each: Investigate → Classify → Create issue → Add to project board

Step 0: Project Board Readiness (GATE)

Before any triage, verify project board infrastructure is ready.

# Verify environment variables
if [ -z "$GITHUB_PROJECT_NUM" ]; then
  echo "BLOCKED: GITHUB_PROJECT_NUM not set"
  exit 1
fi

if [ -z "$GH_PROJECT_OWNER" ]; then
  echo "BLOCKED: GH_PROJECT_OWNER not set"
  exit 1
fi

# Verify project is accessible
gh project view "$GITHUB_PROJECT_NUM" --owner "$GH_PROJECT_OWNER" --format json > /dev/null 2>&1

Skill: project-board-enforcement


Step 1: Parse Feedback into Items

Identify Distinct Items

Read through the feedback and identify each distinct item. Look for:

  • Separate headings or sections
  • Numbered lists
  • Different error messages or behaviors
  • Distinct feature requests or changes

Create Tracking List

# Use TodoWrite to track each item
# Example: 3 items from UAT feedback
TodoWrite:
- [ ] Investigate: Family page error (API 500)
- [ ] Investigate: Terminology issue (Children vs Care Recipients)
- [ ] Investigate: Cannot add care recipient (API 500)

Item Summary Table

Create a summary table for the user:

## Feedback Items Identified

| # | Summary | Type (Preliminary) | Severity |
|---|---------|-------------------|----------|
| 1 | Family page error | Bug | High |
| 2 | Terminology needs review | UX/Research | Medium |
| 3 | Cannot add care recipient | Bug | High |

I will investigate each item before creating issues.

Step 2: Investigate Each Item

CRITICAL: Never create an issue without investigation. Understanding comes first.

Investigation Protocol by Item Type

For API Errors / Bugs
## Investigation: [Item Title]

### 1. Error Analysis
- Error code: [e.g., INTERNAL_ERROR, 500, 404]
- Error message: [exact message]
- Request endpoint: [URL]
- Request method: [GET/POST/etc.]

### 2. Reproduction
- Can reproduce: [Yes/No]
- Reproduction steps:
  1. [Step 1]
  2. [Step 2]

### 3. Code Investigation
- Relevant files: [paths]
- Likely cause: [hypothesis after code review]
- Related code: [functions/modules involved]

### 4. Impact Assessment
- Users affected: [All/Some/Specific conditions]
- Functionality blocked: [What can't users do?]
- Workaround exists: [Yes/No - describe if yes]

### 5. Classification
- Type: Bug
- Severity: [Critical/High/Medium/Low]
- Priority: [Critical/High/Medium/Low]
For UX/Feature Feedback
## Investigation: [Item Title]

### 1. Current Behavior
- What exists now: [description]
- Where it appears: [URLs/screens]
- Current implementation: [code locations]

### 2. Requested Change
- What's being asked for: [description]
- User impact: [how this affects users]
- Business context: [why this matters]

### 3. Scope Analysis
- Files affected: [list]
- Complexity: [Low/Medium/High]
- Dependencies: [other features/systems]

### 4. Design Considerations
- Options identified:
  1. [Option A] - [pros/cons]
  2. [Option B] - [pros/cons]
- Recommendation: [if clear]
- Needs: [Design input / Product decision / Research]

### 5. Classification
- Type: Feature / Research / UX Enhancement
- Priority: [Critical/High/Medium/Low]
For Production Incidents
## Investigation: [Item Title]

### 1. Incident Details
- First reported: [timestamp]
- Frequency: [One-time/Intermittent/Constant]
- Environment: [Production/Staging/etc.]

### 2. Error Analysis
- Error logs: [key log entries]
- Stack trace: [if available]
- Affected service: [component/service name]

### 3. Impact Assessment
- Users affected: [count/percentage]
- Revenue impact: [if applicable]
- SLA implications: [if applicable]

### 4. Root Cause Analysis
- Hypothesis: [likely cause]
- Evidence: [supporting data]
- Related changes: [recent deployments/changes]

### 5. Classification
- Type: Bug
- Severity: Critical / High
- Priority: Critical / High

Investigation Checklist

For each item, verify:

  • Error/behavior understood
  • Code reviewed (if applicable)
  • Scope assessed
  • Impact evaluated
  • Type determined (Bug/Feature/Research/etc.)
  • Priority determined
  • Ready to create issue

Step 3: Classify Each Item

Type Classification

TypeWhen to UseProject Board Type
BugSomething broken, not working as designedBug
FeatureNew capability, clear requirementsFeature
ResearchNeeds exploration, design thinking, options analysisResearch
SpikeTime-boxed technical investigationSpike
ChoreMaintenance, cleanup, non-user-facingChore
UX EnhancementImproving existing user experienceFeature

Priority Classification

PriorityCriteriaResponse
CriticalProduction down, data loss, security breachImmediate
HighMajor feature broken, significant user impact, blockingThis sprint
MediumFeature degraded, workaround exists, important but not blockingNext sprint
LowMinor issue, cosmetic, nice-to-haveBacklog

Severity vs Priority

  • Severity = How bad is the problem? (Technical assessment)
  • Priority = How soon should we fix it? (Business decision)

A low-severity bug affecting a VIP customer may be high priority. A high-severity bug on a deprecated feature may be low priority.


Step 4: Create Well-Formed Issues

Issue Templates

Bug: [Bug] <description> - Include: Summary, Environment, Steps to Reproduce, Expected/Actual Behavior, Error Details, Investigation Findings (files, cause, impact), Acceptance Criteria, Source.

Feature: [Feature] <description> - Include: Summary, Background, Current/Proposed Behavior, User Story, Scope Analysis (files, complexity), Acceptance Criteria, Out of Scope.

Research: [Research] <topic> - Include: Summary, Background, Questions to Answer, Scope, Time Box, Deliverables, Acceptance Criteria.

Use gh issue create --title "[Type]..." --body "..." with appropriate sections from above.


Step 5: Add to Project Board (MANDATORY)

Every issue MUST be added to the project board with correct fields.

Use project-board-enforcement skill functions:

  1. add_issue_to_project - Add issue to project
  2. set_project_status - Set Status (Ready/Backlog)
  3. set_project_type - Set Type (Bug/Feature/Research)
  4. Set Priority field

Skill: project-board-enforcement


Step 6: Summary Report

After all items are triaged, provide a summary:

## Triage Complete

### Issues Created

| # | Issue | Type | Priority | Status |
|---|-------|------|----------|--------|
| 1 | #123 - Family page API error | Bug | High | Ready |
| 2 | #124 - Kin Circle terminology research | Research | Medium | Ready |
| 3 | #125 - Cannot add care recipient | Bug | High | Ready |

### Project Board Status
All issues added to project board with correct fields.

### Recommended Order
1. **#123** - Blocking user access to family page
2. **#125** - Blocking care recipient management
3. **#124** - UX research can proceed in parallel

### Next Steps
- [ ] Assign issues to developers
- [ ] Begin work using `issue-driven-development`
- [ ] Or request immediate resolution

Best Practices

Title formats: [Bug] <what's broken>, [Feature] <what it does>, [Research] <what to investigate>, [Spike] <technical question>

Good acceptance criteria: Specific, verifiable, behavior-focused, testable checkboxes.

If feedback is vague: Ask clarifying questions OR create Research issue. Document what IS known.


Integration with Other Skills

This skill flows TO:

SkillWhen
issue-driven-developmentAfter issues created, to begin resolution
issue-decompositionIf a feedback item is too large for one issue
epic-managementIf feedback items should be grouped as epic

This skill uses:

SkillFor
project-board-enforcementAdding issues to project board
pre-work-researchInvestigation patterns
issue-prerequisiteIssue quality standards

Memory Integration

Store triage sessions in knowledge graph:

mcp__memory__create_entities([{
  "name": "Triage-[DATE]-[SOURCE]",
  "entityType": "FeedbackTriage",
  "observations": [
    "Source: UAT / User Report / etc.",
    "Date: [DATE]",
    "Items received: [COUNT]",
    "Issues created: #X, #Y, #Z",
    "Types: [Bug: N, Feature: N, Research: N]",
    "High priority: [COUNT]"
  ]
}])

Checklist

Before Starting Triage

  • Project board readiness verified (GITHUB_PROJECT_NUM, GH_PROJECT_OWNER)
  • Feedback source identified
  • All items parsed and listed

For Each Item

  • Investigation complete (not skipped)
  • Error/behavior understood
  • Code reviewed (for bugs)
  • Scope assessed
  • Impact evaluated
  • Type classified (Bug/Feature/Research/etc.)
  • Priority assigned
  • Issue created with full template
  • Added to project board
  • Status field set (Ready or Backlog)
  • Type field set
  • Priority field set

After All Items

  • Summary report provided
  • All issues in project board verified
  • Recommended priority order given
  • Memory updated
  • Ready for resolution (if requested)

Gate: No issue is created without investigation. No issue is left outside the project board.


Proceeding to Resolution

If the user requests resolution after triage:

Issues have been created and prioritized.

**To resolve these issues:**

1. I will work through them using `issue-driven-development`
2. Starting with highest priority: #[N]
3. Each issue will follow the full development process

Shall I proceed with resolution, or should these be assigned for later work?

If proceeding, invoke issue-driven-development for each issue in priority order.

平台分布

Claude Code

27.32%
按下载量换算40

Cursor

24.68%
按下载量换算37

Antigravity

18.66%
按下载量换算28

Gemini CLI

13.16%
按下载量换算19

OpenCode

7.86%
按下载量换算12

kiro-cli

3.34%
按下载量换算5

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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