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fabricfabric 搜索

Agent Skill

fabric 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。

总安装

2,046

周安装

87

GitHub Stars

11,820

下载量

717
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:fabric(fabric 搜索)
来源仓库:https://github.com/danielmiessler/personal_ai_infrastructure
仓库路径:skills/fabric
安装命令:
npx skills add https://github.com/danielmiessler/personal_ai_infrastructure --skill Fabric
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/danielmiessler/personal_ai_infrastructure --skill Fabric

简介

Fabric技能用于工作流执行和自动化任务处理,支持自定义配置和语音通知。

  • 适用于复杂业务流程自动化和批量处理的场景。
  • 在使用前会检查用户自定义配置,发送语音通知,然后执行相应工作流。
  • 使用时需要确保本地8888端口可用,并正确配置工作流参数。
  • fabric 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Customization

Before executing, check for user customizations at: ~/.claude/PAI/USER/SKILLCUSTOMIZATIONS/Fabric/

If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.

Voice Notification

When executing a workflow, do BOTH:

  1. Send voice notification: curl -s -X POST http://localhost:8888/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the Fabric skill to ACTION"}' \ > /dev/null 2>&1 &
  2. Output text notification: Running the **WorkflowName** workflow in the **Fabric** skill to ACTION...

Full documentation: ~/.claude/PAI/THENOTIFICATIONSYSTEM.md

Fabric

Intelligent prompt pattern system providing 240+ specialized patterns for content analysis, extraction, summarization, threat modeling, and transformation.

Patterns Location: Patterns/


Workflow Routing

WorkflowTriggerFile
ExecutePattern"use fabric", "run pattern", "apply pattern", "extract wisdom", "summarize", "analyze with fabric"Workflows/ExecutePattern.md
UpdatePatterns"update fabric", "update patterns", "sync fabric", "pull patterns"Workflows/UpdatePatterns.md

Examples

Example 1: Extract wisdom from content

User: "Use fabric to extract wisdom from this article"
-> Invokes ExecutePattern workflow
-> Selects extract_wisdom pattern
-> Reads Patterns/extract_wisdom/system.md
-> Applies pattern to content
-> Returns structured IDEAS, INSIGHTS, QUOTES, etc.

Example 2: Update patterns

User: "Update fabric patterns"
-> Invokes UpdatePatterns workflow
-> Runs git pull from upstream fabric repository
-> Syncs patterns to local Patterns/ directory
-> Reports pattern count

Example 3: Create threat model

User: "Use fabric to create a threat model for this API"
-> Invokes ExecutePattern workflow
-> Selects create_threat_model pattern
-> Applies STRIDE methodology
-> Returns structured threat analysis

Quick Reference

Pattern Execution (Native - No CLI Required)

Instead of calling fabric -p pattern_name, PAI executes patterns natively:

  1. Reads Patterns/{pattern_name}/system.md
  2. Applies pattern instructions directly as prompt
  3. Returns results without external CLI calls

When to Use Fabric CLI Directly

Only use fabric command for:

  • -y URL - YouTube transcript extraction
  • -u URL - URL content fetching (when native fetch fails)

Most Common Patterns

IntentPatternDescription
Extract insightsextract_wisdomIDEAS, INSIGHTS, QUOTES, HABITS
SummarizesummarizeGeneral summary
5-sentence summarycreate_5_sentence_summaryUltra-concise
Threat modelcreate_threat_modelSecurity threat analysis
Analyze claimsanalyze_claimsFact-check claims
Improve writingimprove_writingWriting enhancement
Code reviewreview_codeCode analysis
Main ideaextract_main_ideaCore message extraction

Full Pattern Catalog

Browse the Patterns/ directory for the complete list of 240+ patterns organized by category.


Native Pattern Execution

How it works:

User Request → Pattern Selection → Read system.md → Apply → Return Results

Pattern Structure:

Patterns/
├── extract_wisdom/
│   └── system.md       # The prompt instructions
├── summarize/
│   └── system.md
├── create_threat_model/
│   └── system.md
└── ...240+ patterns

Each pattern's system.md contains the full prompt that defines:

  • IDENTITY (who the AI should be)
  • PURPOSE (what to accomplish)
  • STEPS (how to process input)
  • OUTPUT (structured format)

Pattern Categories

CategoryCountExamples
Extraction30+extract_wisdom, extract_insights, extract_main_idea
Summarization20+summarize, create_5_sentence_summary, youtube_summary
Analysis35+analyze_claims, analyze_code, analyze_threat_report
Creation50+create_threat_model, create_prd, create_mermaid_visualization
Improvement10+improve_writing, improve_prompt, review_code
Security15create_stride_threat_model, create_sigma_rules, analyze_malware
Rating8rate_content, judge_output, rate_ai_response

Integration

Feeds Into

  • Research - Fabric patterns enhance research analysis
  • Blogging - Content summarization and improvement
  • Security - Threat modeling and analysis

Uses

  • fabric CLI - For YouTube transcripts (-y) and URL fetching (-u)
  • Native execution - Direct pattern application (preferred)

File Organization

PathPurpose
Patterns/Local pattern storage (240+)
Workflows/Execution workflows

Changelog

2026-01-18

  • Initial skill creation (extracted from PAI/Tools/fabric)
  • Native pattern execution (no CLI dependency for most patterns)
  • Two workflows: ExecutePattern, UpdatePatterns
  • 240+ patterns organized by category
  • PAI Pack ready structure

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

26.82%
按下载量换算192

Gemini CLI

24.08%
按下载量换算173

github-copilot

18.93%
按下载量换算136

OpenCode

12.66%
按下载量换算91

Antigravity

6.8%
按下载量换算49

Cursor

3%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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