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Agent Skill · 研究检索

fossflow-diagrams(福斯流程图)

fossflow-diagrams 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。

fossflow-diagrams 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 68,166。

总安装 235周安装 10GitHub Stars 公开资料未说明下载 82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:fossflow-diagrams(福斯流程图)
来源仓库:https://github.com/corploc/skills
仓库路径:skills/fossflow-diagrams
安装命令:
npx skills add https://github.com/corploc/skills --skill fossflow-diagrams
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/corploc/skills --skill fossflow-diagrams

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。

fossflow-diagrams 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。通过 npx skills add 命令从指定仓库安装并使用该技能。安装前需确认权限范围、维护状态及是否触发联网或命令执行。

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/fossflow-diagrams

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/corploc/skills --skill fossflow-diagrams;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

fossflow-diagrams 怎么安装?

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

fossflow-diagrams 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。

fossflow-diagrams 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。

fossflow-diagrams 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。

fossflow-diagrams 用的人多吗?

公开数据是累计安装 235 次,近一周安装 10 次,下载 82 次。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。

fossflow-diagrams 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
fossflow-diagrams

福斯流程图 · 本页

235—调用外部服务未明确通过

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

FossFLOW Isometric Diagrams

Overview

Generate isometric architecture diagrams using the FossFLOW/Isoflow compact JSON format. This format uses minified keys for token efficiency while producing valid importable diagrams.

Iron Rule: The compact format structure defined in llm-generation-guide.md (in this skill directory) is the ONLY valid output format. No variations, no "improved" formats, no object-based alternatives. The exact structure must be respected at all costs.

Canonical reference: https://raw.githubusercontent.com/stan-smith/FossFLOW/refs/heads/master/LLM-GENERATION-GUIDE.md

When to Use

  • User asks for an architecture diagram, infrastructure diagram, or system topology
  • User mentions FossFLOW, Isoflow, or isometric diagrams
  • User wants to visualize cloud infrastructure (AWS, Azure, GCP)
  • User wants to visualize Kubernetes deployments
  • User wants a visual representation of microservices, data pipelines, or any system architecture

When NOT to use: For UML diagrams, sequence diagrams, flowcharts, or non-isometric visualizations (use Mermaid or PlantUML instead).

The Compact Format - MANDATORY Structure

{
  "t": "Title (max 40 chars)",
  "i": [
    ["Item Name (max 30)", "icon_id", "Description (max 100)"]
  ],
  "v": [
    [
      [[itemIndex, x, y], ...],
      [[fromIndex, toIndex], ...]
    ]
  ],
  "_": { "f": "compact", "v": "1.0" }
}

Keys Explained

KeyMeaningTypeConstraint
tTitlestringmax 40 chars
iItemsarray of 3-element arrays["name", "icon", "desc"]
vViewsarray of [positions, connections]Usually 1 view
_MetadataobjectExactly {"f": "compact", "v": "1.0"}

Items (i) - Each item is a 3-element array

["Display Name", "icon_id", "Brief description"]
     ^max 30        ^valid      ^max 100

Views (v) - Each view is a 2-element array

[
  [[0, x0, y0], [1, x1, y1], ...],   // positions: [itemIndex, x, y]
  [[0, 1], [1, 2], ...]               // connections: [fromIndex, toIndex]
]

Red Flags - STOP and Fix

If you catch yourself doing ANY of these, delete and start over:

  • Using object syntax for items ({id:..., type:...}) instead of arrays
  • Using string references in connections ("from": "lb-1") instead of integer indices
  • Adding keys not in the spec (version, components, connections at root)
  • Putting positions inside item definitions instead of in the views array
  • Using 3D coordinates [x, y, z] - positions are [itemIndex, x, y]
  • Inventing icon names not in the valid icons list
  • Omitting the _ metadata field
  • Using "v": "1.0" without the enclosing "_": {"f": "compact",...}

Valid Icons - Quick Reference

Generic (Isoflow collection)

storage server user cloud network security api queue cache function mobile web email analytics backup load-balancer cdn vpn firewall monitor

AWS (prefix: aws-)

aws-ec2 aws-s3 aws-rds aws-lambda aws-api-gateway aws-cloudfront aws-route-53 aws-vpc aws-elb aws-iam aws-cloudwatch aws-sns aws-sqs aws-dynamodb aws-elasticsearch aws-redshift aws-kinesis aws-eks aws-fargate aws-cognito

Azure (prefix: azure-)

azure-virtual-machine azure-storage-account azure-sql-database azure-app-service azure-function-app azure-api-management azure-cdn azure-dns azure-load-balancer azure-active-directory azure-monitor azure-service-bus azure-cosmos-db azure-redis-cache azure-kubernetes-service azure-container-instances azure-logic-apps azure-data-factory azure-key-vault azure-cognitive-services

GCP (prefix: gcp-)

gcp-compute-engine gcp-cloud-storage gcp-cloud-sql gcp-app-engine gcp-cloud-functions gcp-api-gateway gcp-cloud-cdn gcp-cloud-dns gcp-cloud-load-balancing gcp-identity-access-management gcp-cloud-monitoring gcp-cloud-pub-sub gcp-cloud-firestore gcp-memorystore gcp-kubernetes-engine gcp-cloud-run gcp-cloud-workflows gcp-cloud-dataflow gcp-secret-manager gcp-ai-platform

Kubernetes (prefix: k8s-)

k8s-pod k8s-service k8s-deployment k8s-configmap k8s-secret k8s-ingress k8s-namespace k8s-node k8s-persistent-volume k8s-daemonset k8s-statefulset k8s-job k8s-cronjob k8s-hpa k8s-rbac

For the complete icon list (320 AWS, 369 Azure, 280 GCP, 56 K8s icons), see llm-generation-guide.md in this skill directory.

Positioning Guidelines

  • Grid coordinates: X (horizontal), Y (vertical)
  • Negative X = left, positive X = right
  • Negative Y = up, positive Y = down
  • Range: -20 to +20 for both axes
  • Spacing: 3-5 units between components
  • Start main components near (0, 0)
  • Arrange in logical flow (left-to-right or top-to-bottom)

Connection Patterns

PatternExampleUse For
Linear[0,1], [1,2], [2,3]Data pipelines, request flow
Hub & spoke[0,1], [0,2], [0,3]Load balancer, API gateway
Mesh[0,1], [1,0], [1,2], [2,1]Microservices communication
Layered[0,3], [1,3], [2,3]Multiple services to shared DB

Generation Workflow

  1. Identify components from the user's description
  2. Map each to a valid icon (use cloud-specific icons when platform is specified)
  3. Build items array with concise names and descriptions
  4. Calculate positions using grid layout with 3-5 unit spacing
  5. Define connections based on data/control flow
  6. Validate against the checklist below
  7. Output raw JSON (no markdown code fences unless explicitly asked)

Validation Checklist (Run Before Output)

  • Root keys are exactly t, i, v, _ (no extras)
  • _ is exactly {"f": "compact", "v": "1.0"}
  • Each item in i is a 3-element array [name, icon, description]
  • All icon names are from the valid icons list
  • Item names <= 30 chars, descriptions <= 100 chars, title <= 40 chars
  • v contains at least one view: [[positions], [connections]]
  • Each position is [itemIndex, x, y] with valid item index
  • Each connection is [fromIndex, toIndex] with valid item indices
  • Coordinates are within -20 to +20
  • Number of positions matches number of items
  • JSON is valid (no trailing commas, proper quoting)

Common Mistakes

MistakeWrongCorrect
Object items{"name": "DB", "icon": "storage"}["DB", "storage", "Main database"]
String connections{"from": "lb", "to": "svc1"}[0, 1]
Wrong root keys"title", "components""t", "i"
3D positions[0, 5, 3, 0][0, 5, 3] (index, x, y)
Missing metadata(omitted)"_": {"f": "compact", "v": "1.0"}
Invented icons"database", "microservice""storage", "server"
Positions in items["DB", "storage", "desc", 5, 3]Items are 3 elements; positions go in v

Complete Example

Microservices with load balancer, 3 services, message queue, and database:

{
  "t": "Microservices Architecture",
  "i": [
    ["Load Balancer", "load-balancer", "Distributes incoming traffic"],
    ["User Service", "server", "Handles user management"],
    ["Order Service", "server", "Processes orders"],
    ["Payment Service", "server", "Payment processing"],
    ["Message Queue", "queue", "Async communication between services"],
    ["Shared Database", "storage", "PostgreSQL shared data store"]
  ],
  "v": [
    [
      [[0, 0, -6], [1, -6, 0], [2, 0, 0], [3, 6, 0], [4, 0, 6], [5, 0, 10]],
      [[0, 1], [0, 2], [0, 3], [1, 4], [2, 4], [3, 4], [1, 5], [2, 5], [3, 5]]
    ]
  ],
  "_": { "f": "compact", "v": "1.0" }
}

平台分布

Codex

35.26%
按下载量换算29

Claude

28.93%
按下载量换算24

Cursor

22.09%
按下载量换算18

Gemini CLI

10.8%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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