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Agent Skill · 研究检索

pma-draw(PMA 抽签)

pma-draw 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。

pma-draw 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,权限为操作浏览器;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 48,496。

总安装 685周安装 28GitHub Stars 2下载 222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:pma-draw(PMA 抽签)
来源仓库:https://github.com/zzci/skills
仓库路径:skills/pma-draw
安装命令:
npx skills add https://github.com/zzci/skills --skill pma-draw
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/zzci/skills --skill pma-draw

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。

pma-draw 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。适用于产品研究、竞品分析或任务驱动的信息检索场景。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和文件操作权限。

使用前建议检查仓库维护状态,避免触发不必要的网络请求或文件读写操作。pma-draw 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/pma-draw

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/zzci/skills --skill pma-draw;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

    它需要操作浏览器,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

pma-draw 怎么安装?

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

pma-draw 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。

pma-draw 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

pma-draw 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。

pma-draw 用的人多吗?

公开数据是累计安装 685 次,近一周安装 28 次,下载 222 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。

pma-draw 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
pma-draw

PMA 抽签 · 本页

6852操作浏览器未明确有提醒

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

ReactFlow Diagram Creator

Generate .rfd.json files that encode meaning in shape, position, and connection — consumed by a ReactFlow-based viewer (pma-viewer) with a predefined catalog of custom node types.

Keep this entry file small. Load only the references needed for the current diagram.

Always-On Rules

  1. Isomorphism first: node layout and edge topology must mirror the concept's structure. If removing all labels still communicates the idea, the design is right.
  2. Use predefined node types only. Pull every node type from references/node-types.md. Never invent new types unless the user asks and the viewer supports them.
  3. Use predefined edge types only. Pull every edge type from references/edges.md. Avoid raw default unless no preset fits.
  4. Colors come from references/colors.md. Node styling is driven by the preset; override only when semantics require it.
  5. Grouping via parent-child, not by drawing a container rectangle. Use parentNode + extent: "parent" on child nodes and a group type parent.
  6. Every relationship needs an edge. Proximity alone is not a connection.
  7. No local render: the skill emits .rfd.json only. Rendering and export happen in pma-viewer (SPA). Quality must be enforced at JSON level — see references/validation.md.
  8. Build large diagrams section-by-section. Append nodes/edges per edit, namespace IDs by section prefix (ingest__, process__, deliver__) to keep cross-section references readable.

Core Workflow

Step 1: Depth Assessment

  • Simple / Conceptual — abstract node types (process, start, end), generic edges. For mental models and philosophies.
  • Comprehensive / Technical — semantic node types (backend, database, queue, ai), evidence nodes with real code/JSON, typed edges (stream, callback). For real systems, protocols, tutorials.

Technical diagrams require research: look up actual specs, endpoints, event names, and data formats before writing JSON.

Step 2: Concept-to-Pattern Mapping

For each major concept pick the visual pattern that mirrors its behavior — fan-out, convergence, tree, timeline, cycle, assembly line, side-by-side, gap, cloud. No two major concepts should share the same pattern. Details in references/design.md.

Step 3: Layout Planning

Pick a layout template from references/layouts.md (vertical-flow, horizontal-pipeline, hub-and-spoke, swimlanes, timeline, matrix). Compute a grid of position values before emitting nodes. ReactFlow uses absolute pixel positions — consistency comes from a shared grid, not from an auto-layout pass.

Step 4: Pick Node & Edge Types

  • Each discovered component → pick a node type from the catalog.
  • Each relationship → pick an edge type that matches its semantics (flow, stream, callback, dependency, comparison).
  • For technical diagrams, add evidence nodes for real code snippets or data payloads.

Step 5: Emit JSON

Write the wrapper + nodes[] + edges[] + viewport. Use predefined templates from references/templates.md as starting points. Keep IDs descriptive (api-server, edge__api-to-db).

Step 6: Validate & Hand Off

Run the pre-flight checklist in references/validation.md (IDs unique, edges reference existing nodes, parentNode refs valid, sourceHandle/targetHandle match node contracts, no position collisions). Then tell the user to open the file in pma-viewer (see references/render.md). The agent cannot see the rendered result, so JSON-level discipline is mandatory.

Section-by-Section for Large Diagrams

  1. Write the wrapper (schema, type, viewport, metadata) and Section 1's nodes + edges.
  2. Append one section per edit. Prefix IDs by section (ingest__source, ingest__queue) to keep later cross-section edges readable.
  3. When a new section's edge targets an earlier node, cite the exact existing node ID from the previous section.
  4. Namespace positions by section: reserve columns (x) or rows (y) per section so later edits don't collide with earlier ones.
  5. After all sections exist, re-read the full file once to check edge references and position overlaps before handing off.

Do not generate an entire comprehensive diagram in one response, hand-write a generator script, or delegate JSON emission to a coding sub-agent — each path produces worse output than section-by-section edits.

Output

  • File: docs/architecture/<name>.rfd.json by default, or a path the user specifies. Extension .rfd.json marks the ReactFlow Diagram schema and keeps plain JSON tooling compatibility.
  • Viewing: open in pma-viewer (ReactFlow-based SPA). PNG / SVG export and editing are handled there — references/render.md covers the handoff.
  • Embedding: four paths in references/integration.md:

- React / MDX sites → <PmaViewer src="..." /> component - Plain HTML → pma-viewer UMD <script> + PmaViewer.mount(...) - Interactive link → hosted viewer with ?src=<url> query param - Static image (GitHub README, email, PDF) → GET /render.svg?src=<url> server-rendered SVG endpoint

Reference Packs

  • references/design.md Visual pattern library, evidence artifacts, multi-zoom architecture, concept-to-pattern mapping.
  • references/json-schema.md File wrapper, nodes / edges / viewport structure, parentNode grouping rules, handles.
  • references/node-types.md Preset custom node catalog with data-schema per type. Semantic, structural, and utility categories.
  • references/edges.md Preset edge catalog: flow, stream, callback, dependency, comparison, annotated. Handle positions, animation, labels.
  • references/colors.md Semantic color palette (default / AWS / Azure / GCP / K8s) and text hierarchy. Styled presets in node-types reference this file.
  • references/layouts.md Layout templates (vertical flow, horizontal pipeline, hub-and-spoke, swimlanes, timeline, matrix) with grid math.
  • references/templates.md Copy-paste node / edge JSON and full starter diagrams (3-tier, microservices, event-driven, data pipeline, CI/CD).
  • references/validation.md Pre-flight algorithm, checklists, common bug recipes.
  • references/render.md pma-viewer SPA contract, handoff format, in-viewer export, troubleshooting.
  • references/integration.md How downstream consumers embed the diagram: MDX / React component, browser <script> SDK, URL-loaded JSON with the hosted viewer, and server-rendered SVG endpoint (for GitHub READMEs, email, PDFs).

Quick Routing

  • Designing from scratch: load references/design.md, then references/layouts.md.
  • Picking node / edge types: load references/node-types.md + references/edges.md.
  • Writing JSON: load references/json-schema.md + references/templates.md.
  • Codebase-to-architecture extraction: load references/node-types.md + references/layouts.md.
  • Validating before delivery: load references/validation.md.
  • Telling the user how to open or export in pma-viewer: load references/render.md.
  • Embedding the diagram in docs (MDX / HTML / README / SVG): load references/integration.md.

If the project also uses /pma for workflow control, load /pma first, then /pma-draw only when a diagram is required.

平台分布

Codex

37%
按下载量换算82

Claude

31.4%
按下载量换算70

Cursor

18.53%
按下载量换算41

Gemini CLI

10.64%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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