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Agent Skill · 研究检索

distribution-engine(分发引擎)

distribution-engine 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。

distribution-engine 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,权限为只读;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 36,717。

总安装 1,877周安装 79GitHub Stars 85下载 657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:distribution-engine(分发引擎)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/distribution-engine
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill distribution-engine
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/guia-matthieu/clawfu-skills --skill distribution-engine

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。

distribution-engine 基于 A4 方法论构建自动化内容分发流水线。适用于 LinkedIn/X 平台发帖引擎与 DM 自动触发系统搭建。支持钩子(hook)到预约转化的全流程连接与效果看板管理。需配置目标平台账号权限与消息模板合规性检查。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/distribution-engine

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/guia-matthieu/clawfu-skills --skill distributi…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

distribution-engine 怎么安装?

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

distribution-engine 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。

distribution-engine 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

distribution-engine 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。

distribution-engine 用的人多吗?

公开数据是累计安装 1,877 次,近一周安装 79 次,下载 657 次,GitHub 85 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。

distribution-engine 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
distribution-engine

分发引擎 · 本页

1,87785只读未明确有提醒

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

Distribution Engine

Construisez un système de distribution complet (posting, DM delivery, retargeting, tracking) qui transforme vos hooks en pipeline prévisible, basé sur la méthodologie A4 du Marketing Swarm de Lasse Flagstad.

When to Use This Skill

  • Lancer une machine de contenu LinkedIn/X - Cadence, review flow, posting engine
  • Automatiser les DMs après engagement - Trigger → message → tag → booking
  • Installer le retargeting - Email + Meta/IG pour ne jamais perdre un lead
  • Créer un dashboard simple - Les 6 métriques qui comptent vraiment
  • Connecter hooks → pipeline - Du commentaire au call booké

Methodology Foundation

Source: Lasse Flagstad - A4 Distribution Engineer (Marketing Swarm, 2025)

Core Principle: "La distribution n'est pas un add-on. C'est le système nerveux de votre marketing. Sans wiring propre, même les meilleurs hooks meurent dans le vide."

Why This Matters: La plupart des créateurs produisent du contenu sans système de capture. Le Distribution Engine connecte chaque point de contact (post, comment, DM, email, ad) en un flux mesurable et optimisable.

What Claude Does vs What You Decide

Claude DoesYou Decide
Structures production workflowFinal creative direction
Suggests technical approachesEquipment and tool choices
Creates templates and checklistsQuality standards
Identifies best practicesBrand/voice decisions
Generates script outlinesFinal script approval

What This Skill Does

  1. Structure le posting engine - Qui poste, où, à quelle cadence, avec quel review flow
  2. Configure le DM delivery - Triggers automatiques, messages, tags, routing
  3. Installe le retargeting - Email 3-touch + Meta pixel pour les non-convertis
  4. Crée l'Event Map + UTMs - Tracking créatif qui raconte une histoire
  5. Définit le Mini Dashboard - Les 6 métriques quotidiennes essentielles

How to Use

Créer un système de distribution from scratch

Je lance du contenu sur LinkedIn mais je n'ai aucun système de capture. Aide-moi à construire mon distribution engine.

Optimiser un système existant qui fuit

J'ai des posts qui performent mais je perds les leads entre le comment et le booking. Audite mon flow avec le skill distribution-engine.

Installer le tracking et le dashboard

Je veux savoir exactement combien de leads passent de post → DM → call → close. Configure mon tracking.

Instructions

Step 1: Audit des outils existants

## Inventory Check

**Email/CRM:**
[ ] ESP: _____________ (ConvertKit, Mailchimp, Brevo, etc.)
[ ] CRM: _____________ (HubSpot, Pipedrive, Notion, etc.)

**Automation:**
[ ] DM Tool: _____________ (Phantombuster, Dripify, manuel)
[ ] Calendar: _____________ (Calendly, Cal.com, HubSpot)

**Tracking:**
[ ] Analytics: _____________ (GA4, Plausible, Fathom)
[ ] Meta Pixel: [ ] Installé [ ] Non
[ ] LinkedIn Insight Tag: [ ] Installé [ ] Non

**Content:**
[ ] Posting queue: _____________ (Buffer, Hypefury, manuel)
[ ] Link shortener: _____________ (Short.io, Bitly, none)

**Access this week:**
[ ] ESP [ ] Calendar [ ] DM tool [ ] Analytics [ ] Ad Manager

Why each matters:

  • ESP → Nurture automation + deliverability
  • CRM → Lead tracking + handoff to sales
  • DM Tool → Speed of response après engagement
  • Pixels → Retargeting des visiteurs non-convertis
  • Calendar → Friction-free booking

Step 2: Posting Engine Design

## Posting Engine v1

**Who posts:**
[ ] Founder only (personal brand)
[ ] Founder + team member (amplification)
[ ] Team via queue (scaled content)

**Platform priority:**
1. _____________ (primary - usually LinkedIn)
2. _____________ (secondary - X, newsletter, etc.)

**Cadence:**
- Primary: ___ posts/week
- Secondary: ___ posts/week
- Stories/ephemeral: ___ /week

**Review flow:**
[ ] Draft → Self-review → Post
[ ] Draft → Peer review → Schedule
[ ] AI draft → Human edit → Schedule

**Best slots (test these):**
- LinkedIn: Tue-Thu 7-9am, 12pm, 5-6pm local ICP time
- X: Varies by audience, test 4 slots

**Content mix (per 4 posts):**
- 1 Comment-magnet (engagement driver)
- 1 Proof/case study (credibility)
- 1 POV/insight (thought leadership)
- 1 Soft CTA (booking/lead magnet)

Step 3: DM Delivery System

## DM Delivery Map

**Trigger → Message → Action**

1. **Comment with keyword** (e.g., "MAP", "GUIDE", "YES")
   → Auto-DM: "[Asset] + starter question"
   → Tag: lead_commented
   → Action: Add to nurture sequence

2. **Profile visit** (if tool allows)
   → Manual or auto DM: "Saw you checked us out..."
   → Tag: profile_visitor

3. **Post engagement** (like/repost without comment)
   → Soft DM after 24h: "Thanks for engaging..."
   → Tag: warm_lead

**DM Templates (3 tones):**

**Friendly:**
"Hey [name]! Saw your comment — here's the [asset] as promised.
Quick Q: What's your biggest challenge with [topic] right now?"

**Direct:**
"[Asset] link: [URL]
One question: Are you actively trying to fix [problem] or just researching?"

**Curious:**
"Sent! Curious — what made you comment on that post specifically?"

**Rules:**
- Respond within 2h during business hours
- Max 2 follow-ups if no reply
- Always end with a question (keeps thread alive)
- Tag everything for segmentation

Step 4: Retargeting Setup

## Retargeting v1 (Never Lose a Lead)

**Layer 1: Email (3-touch minimum)**
- Touch 1: Value delivery (lead magnet, insight)
- Touch 2: Proof/case (social proof, numbers)
- Touch 3: Soft invite (booking, VSL)

**Layer 2: Meta/IG Retargeting**
- Audience: Website visitors 7-30 days
- Exclude: Already booked / customers
- Creative: 3 variants (proof, POV, invite)
- Budget: $5-20/day to start

**Layer 3: LinkedIn (optional)**
- Insight Tag on key pages (VSL, booking)
- Matched audience from email list
- Thought leader ads (boost organic posts)

**Pixel placement:**
- Homepage: awareness
- VSL/Sales page: intent
- Booking page: high intent
- Thank you page: conversion (exclude from retargeting)

Step 5: Event Map + UTMs

## Event Naming (Creative, Not Generic)

**Standard events → Story-driven names:**
- page_view → entered_universe
- scroll_50 → reading_deep
- video_play → watching_proof
- cta_click → raised_hand
- form_start → committing
- form_complete → opted_in
- book_click → booking_intent
- booked_call → pipeline_added
- showed_up → serious_buyer
- closed_won → customer_born

**UTM Structure:**

?utm_source=[platform] &utm_medium=[content_type] &utm_campaign=[campaign_name] &utm_content=[specific_post_id]

**Examples:**
- LinkedIn comment-magnet post:
  `?utm_source=linkedin&utm_medium=post&utm_campaign=lead_magnet_jan&utm_content=hook_v1`

- Email nurture touch 2:
  `?utm_source=email&utm_medium=nurture&utm_campaign=evergreen&utm_content=proof_email`

- Meta retargeting ad:
  `?utm_source=meta&utm_medium=retargeting&utm_campaign=vsl_push&utm_content=testimonial_ad`

Step 6: Mini Dashboard (6 Metrics)

## Daily Dashboard

| Metric | Source | Target | Red Flag |
|--------|--------|--------|----------|
| **Impressions** | LinkedIn/X analytics | Trending up | -30% WoW |
| **Engagement Rate** | (likes+comments)/impressions | >3% | <1.5% |
| **DMs Sent** | DM tool or manual count | X/day | 0 for 2+ days |
| **Leads Captured** | CRM/ESP | X/week | <50% of target |
| **Calls Booked** | Calendar | X/week | <30% of leads |
| **Show Rate** | Calendar + CRM | >75% | <60% |

**Weekly Review Questions:**
1. Which post drove most DMs this week?
2. What's the comment → DM → book conversion?
3. Which retargeting creative is winning?
4. Where's the biggest drop-off in the funnel?

**Monthly Actions:**
- Prune dead automations
- Refresh retargeting audiences
- Test 1 unconventional distribution play

Examples

Example 1: Solopreneur LinkedIn → Coaching Calls

Setup:

  • Posting: 4x/week (Tue, Wed, Thu, Sat)
  • DM: Manual with templates, keyword "GUIDE"
  • Retargeting: Email only (no ad budget)
  • Tracking: UTMs + Calendly analytics

Flow:

Post with hook + "Comment GUIDE"
    ↓
DM with lead magnet + question
    ↓
Reply qualifies → Send booking link
    ↓
Email reminder (T-24h, T-2h)
    ↓
Call → Close or nurture

Results tracked:

  • Comments/post: 15-30
  • DM response rate: 60%
  • DM → Book: 20%
  • Show rate: 80%

Example 2: Agency Multi-Channel

Setup:

  • Posting: Founder (LinkedIn) + Team (X, newsletter)
  • DM: Phantombuster auto-DM on keyword
  • Retargeting: Meta pixel + email sequence
  • Tracking: GA4 + HubSpot CRM

Flow:

LinkedIn post (founder) + X thread (team)
    ↓
Auto-DM on comment keyword
    ↓
Lead magnet delivery + CRM tag
    ↓
Email nurture (5-touch evergreen)
    ↓
Meta retargeting (VSL viewers)
    ↓
Booking page → Call → Close

Dashboard:

  • Weekly impressions: 50k+
  • Leads/week: 20-40
  • Calls booked: 8-12
  • Close rate: 25%

Checklists

Pre-Launch Checklist

## Before First Post

**Tracking:**
[ ] UTM structure defined
[ ] Analytics installed (GA4 or alternative)
[ ] Key events configured
[ ] Pixels placed (Meta, LinkedIn if using)

**Capture:**
[ ] DM templates written (3 tones)
[ ] Keyword chosen for comment-magnet
[ ] Lead magnet ready to send
[ ] CRM/ESP tags created

**Flow:**
[ ] Posting schedule set
[ ] Review process defined
[ ] First week of content drafted
[ ] Retargeting audiences created (even if not running yet)

**Dashboard:**
[ ] 6 metrics identified
[ ] Tracking source for each
[ ] Weekly review time blocked

Weekly Health Check

## Distribution Health (5 min)

[ ] All links working?
[ ] DM tool connected?
[ ] New leads tagged correctly?
[ ] Retargeting audiences updating?
[ ] Any automation errors?

## Performance (10 min)

[ ] Best post this week?
[ ] Worst post this week?
[ ] DM → Book conversion?
[ ] Show rate?
[ ] One thing to test next week?

Troubleshooting

ProblemLikely CauseFix
Posts get views, no commentsHook not comment-worthyAdd explicit CTA ("Comment X if...")
Comments but no DMs sentAutomation broken or too slowCheck tool, reduce delay
DMs sent, no repliesMessage too salesyLead with value, end with question
Leads but no bookingsFriction in booking flowSimplify, add calendar link in DM
Bookings but no-showsWeak remindersAdd SMS, value reminder in email
Retargeting not workingPixel not firingUse Meta Pixel Helper to debug

Creative Distribution Plays

Beyond standard posting:

  1. Comment-first strategy - Comment on ICP posts before posting yourself
  2. Partner post swaps - Cross-promote with complementary creators
  3. Dark posts in communities - Share in private groups, not just feed
  4. Podcast guesting → content - Repurpose appearances as posts
  5. Event-triggered outreach - DM people who engage with competitors
  6. Newsletter sponsorships - Reach audiences without building them

Skill Boundaries

What This Skill Does Well

  • Structuring audio production workflows
  • Providing technical guidance
  • Creating quality checklists
  • Suggesting creative approaches

What This Skill Cannot Do

  • Replace audio engineering expertise
  • Make subjective creative decisions
  • Access or edit audio files directly
  • Guarantee commercial success

References

Source

  • Lasse Flagstad - A4 Distribution Engineer (Marketing Swarm)
  • sources/swarms/lasse-marketing-swarm.md (if saved)

Tools

Related Skills

  • headline-formulas/ - Craft the hooks that feed this engine
  • nurture-sequences/ - What happens after lead capture
  • email-writing/ - Craft the emails in your sequences
  • landing-page-copy/ - Optimize the pages leads land on

*Skill version: 1.0* *Last updated: 2026-01-28* *Source: Lasse Flagstad Marketing Swarm*

平台分布

Codex

34.48%
按下载量换算227

Claude

28.23%
按下载量换算185

Cursor

18.22%
按下载量换算120

Gemini CLI

9.42%
按下载量换算62

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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