Token导航 LogoToken导航

Agent Skill · 研究检索

prioritization(prioritization 搜索)

prioritization 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。

prioritization 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 39,607。

总安装 1,388周安装 59GitHub Stars 160下载 486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:prioritization(prioritization 搜索)
来源仓库:https://github.com/yonatangross/orchestkit
仓库路径:skills/prioritization
安装命令:
npx skills add https://github.com/yonatangross/orchestkit --skill prioritization
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/yonatangross/orchestkit --skill prioritization

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。

prioritization 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。通过 npx skills add 命令从 GitHub 仓库安装使用。安装前需确认权限范围、维护状态,以及是否触发联网或文件读写操作。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/prioritization

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/yonatangross/orchestkit --skill prioritization;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

prioritization 怎么安装?

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

prioritization 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。

prioritization 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。

prioritization 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。

prioritization 用的人多吗?

公开数据是累计安装 1,388 次,近一周安装 59 次,下载 486 次,GitHub 160 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。

prioritization 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
prioritization

prioritization 搜索 · 本页

1,388160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

Prioritization Frameworks

Score, rank, and justify backlog decisions using the right framework for the situation.

Decision Tree: Which Framework to Use

Do you have a hard deadline or regulatory pressure?
  YES → WSJF (Cost of Delay drives sequencing)
  NO  → Do you have reach/usage data?
          YES → RICE (data-driven, accounts for user reach)
          NO  → Are you in a time-boxed planning session?
                  YES → ICE (fast, 1-10 scales, no data required)
                  NO  → Is this a scope negotiation with stakeholders?
                          YES → MoSCoW (bucket features, control scope creep)
                          NO  → Value-Effort Matrix (quick 2x2 triage)
FrameworkBest ForData RequiredTime to Score
RICEData-rich teams, steady-state prioritizationAnalytics, user counts30-60 min
WSJFSAFe orgs, time-sensitive or regulated workRelative estimates only15-30 min
ICEStartup speed, early validation, quick triageNone5-10 min
MoSCoWScope negotiation, release planningStakeholder input1-2 hours
Value-Effort2x2 visual, quick team alignmentNone10-15 min

RICE

RICE Score = (Reach × Impact × Confidence) / Effort
FactorScaleNotes
ReachActual users/quarterUse analytics; do not estimate
Impact0.25 / 0.5 / 1 / 2 / 3Minimal → Massive per user
Confidence0.3 / 0.5 / 0.8 / 1.0Moonshot → Strong data
EffortPerson-monthsInclude design, eng, QA
## RICE Scoring: [Feature Name]

| Feature     | Reach  | Impact | Confidence | Effort | Score  |
|-------------|--------|--------|------------|--------|--------|
| Smart search| 50,000 | 2      | 0.8        | 3      | 26,667 |
| CSV export  | 10,000 | 0.5    | 1.0        | 0.5    | 10,000 |
| Dark mode   | 30,000 | 0.25   | 1.0        | 1      |  7,500 |

See rules/prioritize-rice.md for ICE, Kano, and full scale tables.


WSJF

WSJF = Cost of Delay / Job Size
Cost of Delay = User Value + Time Criticality + Risk Reduction  (1-21 Fibonacci each)

Higher WSJF = do first. Fibonacci scale (1, 2, 3, 5, 8, 13, 21) forces relative sizing.

## WSJF: GDPR Compliance Update

User Value:       8   (required for EU customers)
Time Criticality: 21  (regulatory deadline this quarter)
Risk Reduction:   13  (avoids significant fines)
Job Size:          8  (medium complexity)

Cost of Delay = 8 + 21 + 13 = 42
WSJF = 42 / 8 = 5.25

See rules/prioritize-wsjf.md for MoSCoW buckets and practical tips. See references/wsjf-guide.md for the full scoring guide.


ICE

ICE Score = Impact × Confidence × Ease    (all factors 1-10)

No user data required. Score relative to other backlog items. Useful for early-stage products and rapid triage sessions.


MoSCoW

Bucket features before estimation. Must-Haves alone should ship a viable product.

## Release 1.0 MoSCoW

### Must Have (~60% of effort)
- [ ] User authentication
- [ ] Core CRUD operations

### Should Have (~20%)
- [ ] Search, export, notifications

### Could Have (~20%)
- [ ] Dark mode, keyboard shortcuts

### Won't Have (documented out-of-scope)
- Mobile app (Release 2.0)
- AI features (Release 2.0)

Opportunity Cost & Trade-Off Analysis

When two items compete for the same team capacity, quantify what delaying each item costs per month.

## Trade-Off: AI Search vs Platform Migration (Q2 eng team)

### Option A: AI Search
- Cost of Delay: $25K/month (competitive risk)
- RICE Score: 18,000
- Effort: 6 weeks

### Option B: Platform Migration
- Cost of Delay: $5K/month (tech debt interest)
- RICE Score: 4,000
- Effort: 8 weeks

### Recommendation
Human decides. Key factors:
1. Q2 OKR: Increase trial-to-paid conversion (favors AI Search)
2. Engineering capacity: Only one team, sequential not parallel
3. Customer commitment: No contractual deadline for either

See rules/prioritize-opportunity-cost.md for the Value-Effort Matrix and full trade-off template. See references/rice-scoring-guide.md for detailed RICE calibration.


Common Pitfalls

PitfallMitigation
Gaming scores to justify pre-decided workCalibrate as a team; document assumptions
Mixing frameworks in one tablePick one framework per planning session
Only tracking high-RICE items; ignoring cost of delayCombine RICE with explicit delay cost analysis
MoSCoW Must-Have bloat (>70% of scope)Must-Haves alone must ship a viable product
Comparing RICE scores across different goalsOnly compare within the same objective

Related Skills

  • product-frameworks — Full PM toolkit (value prop, market sizing, competitive analysis, user research, business case)
  • write-prd — Convert prioritized features into product requirements documents
  • product-analytics — Define and instrument the metrics that feed RICE reach/impact scores
  • okr-design — Set the objectives that determine which KPIs drive RICE impact scoring
  • market-sizing — TAM/SAM/SOM analysis that informs strategic priority
  • competitive-analysis — Competitor context that raises or lowers WSJF time criticality scores

Version: 1.0.0

平台分布

Codex

37.84%
按下载量换算184

Claude

33.03%
按下载量换算161

Cursor

17.32%
按下载量换算84

Gemini CLI

9.42%
按下载量换算46

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。

继续浏览同类 Skills