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Agent Skill · 研究检索

accelint-persona-review(加速人物评论)

accelint-persona-review 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。

accelint-persona-review 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,权限为调用外部服务;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 36,504。

总安装 1,909周安装 82GitHub Stars 10下载 669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:accelint-persona-review(加速人物评论)
来源仓库:https://github.com/gohypergiant/agent-skills
仓库路径:skills/accelint-persona-review
安装命令:
npx skills add https://github.com/gohypergiant/agent-skills --skill accelint-persona-review
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/gohypergiant/agent-skills --skill accelint-persona-review

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。

accelint-persona-review 用于基于特定操作员人物角色评估 Figma 设计。适合在 Codex、Claude、Cursor、Gemini CLI 中结合人物档案分析用户体验。通过加载人物索引和指定角色,提供针对性的操作视角和改进建议。

安装命令为 npx skills add https://github.com/gohypergiant/agent-skills --skill accelint-persona-review。需确认是否涉及外部资源访问或自动执行,并注意维护状态和权限边界。

来源仓库内路径:skills/accelint-persona-review

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/gohypergiant/agent-skills --skill accelint-per…;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

    它需要调用外部服务,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

accelint-persona-review 怎么安装?

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

accelint-persona-review 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。

accelint-persona-review 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

accelint-persona-review 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。

accelint-persona-review 用的人多吗?

公开数据是累计安装 1,909 次,近一周安装 82 次,下载 669 次,GitHub 10 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。

accelint-persona-review 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
accelint-persona-review

加速人物评论 · 本页

1,90910调用外部服务未明确有提醒

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

Persona-Based Design Review

Evaluate Figma designs from the perspective of specific operator personas. Generic UX advice ("make it more intuitive") misses insights that emerge from the persona's documented profile - their responsibilities, pain points, systems they monitor, and operational context.

Workflow

1. Load Persona Profile

Start by loading the persona index to find available personas:

Read references/personas/_index.md

Then load the specific persona requested by the user:

Read references/personas/{persona-id}.md

Do NOT load multiple persona files - only load the one requested by the user.

Do NOT load evaluation-examples.md yet - wait until Step 4.

If the persona doesn't exist, list available options from the index and ask the user to choose.

2. Gather Design Context

Figma URL provided: Use appropriate Figma MCP tool to fetch the design (e.g., mcp__figma-desktop__get_design_context with extracted node ID from URL pattern node-id=1-2 → 1:2).

No URL (default): Use Figma MCP desktop to get current file/selection. If nothing selected, prompt user to select a frame or component.

Figma MCP unavailable: Ask user to provide a screenshot of the design. Analyze the screenshot using visual inspection, but note that without full design context (component properties, layout constraints, interaction states), the review will be limited to visual elements only.

3. Search Supporting Documentation

Use Outline MCP to find relevant context. Since Outline requires workspace selection, use this pattern:

ListMcpResourcesTool(server: "outline")

Search for documents covering:

  • UI standards/guidelines for this operator role
  • Previous design reviews or feedback
  • System requirements or specifications
  • Training materials or user guides

Prioritize documents mentioning the persona's role, responsibilities, or systems they interact with.

Outline MCP unavailable: Proceed with the review based solely on the persona profile and design context. Note in your review that supporting documentation wasn't available, and recommend areas where organizational standards should be consulted.

4. Analyze & Critique

Load evaluation examples to calibrate your approach:

Read references/evaluation-examples.md

Use the evaluation framework below, but adapt structure to findings - don't force insights into rigid sections.

Evaluation Framework

Cognitive Load Assessment

  • Information density: Can they process all displayed data given their experience level and work tempo?
  • Visual hierarchy: Does critical info for their role stand out immediately?
  • Mental models: Does the interface match systems they already use (documented in "Sees")?

Communication Pattern Alignment

  • "Says & Does" support: Does the UI facilitate their typical actions and communications?
  • Workflow integration: How well does this fit documented workflows?
  • Error prevention: Does it prevent mistakes aligned with their documented pain points?

Pain Point Mitigation

  • Direct pain relief: Which documented pain points does this design address?
  • Inadvertent pain creation: Does this introduce new friction or complexity?
  • System consolidation: If they juggle multiple systems, does this reduce context switching?

Context Awareness

  • Experience calibration: Is complexity appropriate for their rank/experience (e.g., E4 vs E7)?
  • Responsibility alignment: Does the design support their specific responsibilities?
  • Schedule considerations: Can they use this effectively given their work schedule/tempo?

System Visibility

  • "Sees" coverage: Are the systems they monitor visible/accessible (e.g., BCS-F, RS-4, ERSA)?
  • Integration gaps: What critical systems are missing?
  • Redundancy: Is there unnecessary duplication of information they see elsewhere?

Communication Support

  • "Hears" integration: Does the design support their communication channels (e.g., Surveillance Net)?
  • Information relay: Can they easily relay information as documented in "Says & Does"?
  • Notification design: Are alerts/notifications appropriate for their attention budget?

Output Structure

Provide critique in this general format (adapt as needed):

## Persona Review: [Persona Name]

### Design Summary
[1-2 sentence summary of what you reviewed]

### Critical Findings
[2-3 most important insights specific to this persona]

### Detailed Evaluation

**Cognitive Load**: [Assessment with specific examples from persona profile]

**Communication Patterns**: [How well it supports their "Says & Does"]

**Pain Point Mitigation**: [Which pain points addressed/created]

**Context Awareness**: [Appropriate for their experience/responsibilities]

**System Visibility**: [Coverage of their "Sees" systems]

**Communication Support**: [Integration with their "Hears" channels]

### Recommendations
[Prioritized list of actionable improvements, grounded in persona profile]

### Supporting References
[Links to relevant Outline docs found during research]

This is an example structure, not a rigid template. Adapt based on:

  • Depth of findings in specific areas
  • Completeness of persona profile
  • Design scope (component vs. full dashboard)

The critical elements are:

  1. Clear connection to persona's documented profile
  2. Specific, actionable recommendations
  3. Prioritization based on operational impact
  4. Evidence from supporting docs (when available)

Evaluation Principles

Be specific to the persona: Generic UX advice helps no one. Ground every observation in the persona's documented profile (Profile, About, Hears, Sees, Says & Does, Pain Points).

Prioritize operational impact: A minor UI inconsistency that breaks muscle memory for a high-tempo operator matters more than major visual polish issues. Consider the stakes of their work.

Assume domain expertise: These operators are experts in their field. Don't suggest "simplifications" that remove necessary complexity they need to do their jobs.

Consider the full context: Review their entire profile - insights often emerge from connections between sections. A pain point in one area may relate to systems they monitor or communication channels they use.

Connect across profile sections: The most valuable insights synthesize multiple parts of the persona profile (e.g., a pain point + systems they see + actions they take = integrated solution opportunity).

NEVER Do When Reviewing

  • NEVER give generic UX advice like "make it more intuitive" or "improve the user experience" - these could apply to any interface. Ground every observation in the persona's specific profile.
  • NEVER suggest simplifications that remove necessary complexity - these operators are domain experts. Complexity that serves their documented responsibilities is valuable.
  • NEVER ignore operational context - a minor UI inconsistency that breaks muscle memory matters more than major visual polish issues for high-tempo operators.
  • NEVER treat all personas as the same - an E4 AST review should differ from an O4 MCC review for the same interface.
  • NEVER skip loading the persona profile - generic reviews without persona context miss the entire value of this skill.

References

  • Persona profiles: references/personas/{persona-id}.md
  • Persona index: references/personas/_index.md
  • Evaluation examples: references/evaluation-examples.md

Load these on-demand to minimize context usage.

平台分布

Codex

38.88%
按下载量换算260

Claude

27.83%
按下载量换算186

Cursor

19.61%
按下载量换算131

Gemini CLI

10.59%
按下载量换算71

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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