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Agent Skill · 研究检索

tech-debt-prioritizer(科技债务优先顺序)

tech-debt-prioritizer 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。

tech-debt-prioritizer 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,权限为需要联网;许可证信息还不明确,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 72,863。

总安装 186周安装 8GitHub Stars 2下载 65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
unknown

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:tech-debt-prioritizer(科技债务优先顺序)
来源仓库:https://github.com/monkey1sai/openai-cli
仓库路径:skills/tech-debt-prioritizer
安装命令:
npx skills add https://github.com/monkey1sai/openai-cli --skill tech-debt-prioritizer
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/monkey1sai/openai-cli --skill tech-debt-prioritizer

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。

tech-debt-prioritizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景从来源线索中筛选信息的场景。通过 npx skills add 命令安装,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/tech-debt-prioritizer

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/monkey1sai/openai-cli --skill tech-debt-priori…;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

    它需要需要联网,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

tech-debt-prioritizer 怎么安装?

在终端执行 npx skills add https://github.com/monkey1sai/openai-cli --skill tech-debt-prioritizer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

tech-debt-prioritizer 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。

tech-debt-prioritizer 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

tech-debt-prioritizer 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

tech-debt-prioritizer 用的人多吗?

公开数据是累计安装 186 次,近一周安装 8 次,下载 65 次,GitHub 2 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。

tech-debt-prioritizer 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。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
tech-debt-prioritizer

科技债务优先顺序 · 本页

1862需要联网未明确通过

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

Tech Debt Prioritizer

Systematically prioritize and pay down technical debt.

Scoring Rubric

Impact Score (1-10)

10 - Critical:

  • Prevents new features
  • Causes frequent prod incidents
  • Blocks multiple teams

7-9 - High:

  • Significantly slows development
  • Causes occasional incidents
  • Affects one team heavily

4-6 - Medium:

  • Moderate development friction
  • Rare incidents
  • Workarounds exist

1-3 - Low:

  • Minor annoyance
  • No incidents
  • Easy workarounds

Risk Score (1-10)

10 - Critical:

  • Security vulnerability
  • Data integrity issues
  • Legal/compliance risk

7-9 - High:

  • Potential data loss
  • System instability
  • Vendor end-of-life soon

4-6 - Medium:

  • Performance degradation
  • Occasional failures
  • Deprecated but working

1-3 - Low:

  • Code quality issues
  • Minor bugs
  • Style inconsistencies

Effort Score (1-10)

10 - Herculean:

  • 3+ months
  • Multiple teams
  • High risk changes

7-9 - Large:

  • 1-3 months
  • One team
  • Medium risk

4-6 - Medium:

  • 1-4 weeks
  • 1-2 developers
  • Low risk

1-3 - Small:

  • Days
  • Single developer
  • Very low risk

Priority Formula

Priority Score = (Impact * 2 + Risk * 1.5) / Effort

Higher score = Higher priority

Tech Debt Inventory

| ID     | Title                  | Impact | Risk | Effort | Score | Owner     |
| ------ | ---------------------- | ------ | ---- | ------ | ----- | --------- |
| TD-001 | Legacy auth system     | 9      | 10   | 8      | 3.7   | Auth Team |
| TD-002 | No database indexes    | 8      | 7    | 3      | 7.8   | Backend   |
| TD-003 | Monolithic build       | 7      | 4    | 6      | 4.0   | DevOps    |
| TD-004 | Duplicate API logic    | 6      | 3    | 4      | 4.1   | Backend   |
| TD-005 | Outdated dependencies  | 5      | 8    | 2      | 9.0   | All Teams |
| TD-006 | Missing error handling | 4      | 6    | 3      | 5.7   | Backend   |
| TD-007 | Poor test coverage     | 4      | 5    | 7      | 2.3   | All Teams |
| TD-008 | Inconsistent naming    | 3      | 2    | 5      | 1.6   | Frontend  |

**Sorted by Priority Score:**

1. TD-005: Outdated dependencies (9.0)
2. TD-002: No database indexes (7.8)
3. TD-006: Missing error handling (5.7)
4. TD-004: Duplicate API logic (4.1)
5. TD-003: Monolithic build (4.0)
   ...

Detailed Assessment Template

## TD-002: No Database Indexes

### Description

Critical queries lack indexes, causing slow response times and high CPU usage.

### Impact (8/10)

- Search queries take 2-5 seconds (should be <500ms)
- Database CPU at 85% during peak hours
- User complaints about slow searches
- Blocks performance optimization work

### Risk (7/10)

- Database may crash under load
- Losing customers to slow experience
- Cannot scale without addressing

### Effort (3/10)

- Identify missing indexes: 2 days
- Add indexes: 1 day
- Test performance: 1 day
- Deploy: 1 day
  **Total: 5 days**

### ROI Analysis

**Cost:** 5 developer-days = $5,000
**Benefit:**

- 80% faster queries
- 50% less DB CPU
- Better user experience
- Enables scaling

**ROI:** Very High

### Implementation Plan

1. Run EXPLAIN on slow queries
2. Identify missing indexes
3. Add indexes in development
4. Test query performance
5. Deploy to production (off-peak)
6. Monitor impact

### Dependencies

- None (can start immediately)

### Owner

Backend Team

### Status

Backlog → Prioritized for Q1

Quarterly Paydown Plan

# Q1 2024 Tech Debt Paydown

**Budget:** 20% of engineering time (4 weeks total)

## Week 1-2: High Priority

- TD-005: Update dependencies (2 days)
- TD-002: Add database indexes (5 days)
- TD-006: Add error handling (3 days)

## Week 3: Medium Priority

- TD-004: Eliminate duplicate logic (5 days)

## Week 4: Quick Wins

- TD-012: Fix broken tests (2 days)
- TD-015: Remove dead code (2 days)
- TD-018: Update README (1 day)

## Success Metrics

- Reduce P1 incidents by 30%
- Improve deployment confidence
- Decrease development friction
- Team morale improvement

Decision Framework

When to Pay Down Debt

Pay down NOW if:

  • Security vulnerability
  • Causing frequent incidents
  • Blocking critical features
  • High impact, low effort

Pay down SOON if:

  • Slowing development significantly
  • Medium-high risk
  • Reasonable effort

Defer if:

  • Low impact and low risk
  • Very high effort
  • Better alternatives exist

When to Increase Budget

**Indicators debt budget needs increase:**

- Velocity declining
- Incident rate increasing
- Developer satisfaction down
- Onboarding time increasing
- "It's too hard to..." complaints

Tech Debt Registry

interface TechDebt {
  id: string;
  title: string;
  description: string;

  // Scoring
  impact: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10;
  risk: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10;
  effort: 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10;

  // Metadata
  owner: string;
  createdAt: Date;
  targetQuarter?: string;
  status: "backlog" | "prioritized" | "in-progress" | "done";

  // Context
  affectedSystems: string[];
  relatedDebt: string[];

  // Plan
  implementationPlan?: string;
  roi?: "low" | "medium" | "high" | "very-high";
}

Quarterly Review Process

1. **Collect new debt** (Week 1)

   - Team submits tech debt items
   - Engineering leads review and score

2. **Prioritize** (Week 2)

   - Calculate priority scores
   - Review high-priority items
   - Assign owners

3. **Plan quarter** (Week 3)

   - Allocate 10-20% capacity
   - Schedule work
   - Set success metrics

4. **Review results** (End of quarter)
   - Measure impact
   - Adjust process
   - Celebrate wins

Best Practices

  1. Track systematically: Don't rely on memory
  2. Score objectively: Use rubric consistently
  3. Regular reviews: Quarterly minimum
  4. Budget time: 10-20% of sprint capacity
  5. Quick wins: Include easy items for morale
  6. Measure impact: Track improvements
  7. Make visible: Dashboard, reports
  8. No judgment: Tech debt is normal

Output Checklist

  • Tech debt items catalogued
  • Impact/risk/effort scores assigned
  • Priority scores calculated
  • Items ranked by priority
  • Top 10 items detailed
  • Quarterly plan created
  • Budget allocated (% of time)
  • Owners assigned
  • Success metrics defined
  • Review cadence established

平台分布

Codex

37.26%
按下载量换算24

Claude

27.97%
按下载量换算18

Cursor

18.73%
按下载量换算12

Gemini CLI

10.02%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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