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feedback-triage反馈分类

Agent Skill

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。

总安装

423

周安装

18

GitHub Stars

6

下载量

148
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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。

来源信息

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