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fb-local-lead-sniperfb 当地首席狙击手

Agent Skill

fb-local-lead-sniper 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

3,189

周安装

129

GitHub Stars

公开资料未说明

下载量

1,001
OpenClaw

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

2

许可证

MIT-0

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:fb-local-lead-sniper(fb 当地首席狙击手)
来源仓库:https://github.com/mguozhen/fb-local-lead-sniper
安装命令:
openclaw skills install fb-local-lead-sniper
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install fb-local-lead-sniper

简介

自动加入和参与本地 Facebook 群组,以发布推荐请求、分析回复并生成潜在客户外展消息。

SKILL.md

name
fb-local-lead-sniper
description
Triggers
facebook groups, local leads, group warm-up, bait post, recommendation mining, facebook outreach, lead sniper, local marketing, facebook automation
metadata
author
mguozhen
version
1.0.0
requires
web-access
allowed-tools
Bash, Read, Write, Edit, Glob, Grep, Agent

fb-local-lead-sniper

Facebook Local Group Lead Generation — find, engage, and convert local service providers through community recommendations.

Overview

This skill automates a 5-step lead generation funnel on Facebook local groups:

  1. Join — Search and join local community groups by city
  2. Engage — Warm up the account with likes, comments, and life posts
  3. Bait — Post recommendation requests to surface top providers
  4. Analyze — Parse replies to rank the most-recommended businesses
  5. Pitch — Generate personalized DM scripts for outreach

Prerequisites

  • web-access skill must be installed and CDP proxy running (localhost:3456)
  • Chrome must have remote debugging enabled (chrome://inspect/#remote-debugging)
  • Must be logged into Facebook in Chrome

Quick Check

curl -s http://localhost:3456/targets | head -1

If this returns a JSON array, you're ready. If not, run:

CLAUDE_SKILL_DIR=~/.claude/skills/web-access node ~/.claude/skills/web-access/scripts/check-deps.mjs

Usage

All commands use the main entry point:

bash "$CLAUDE_SKILL_DIR/scripts/fb-ops.sh" <action> [options]

Actions

ActionDescriptionKey Options
joinJoin local Facebook groups--city, --count, --query
engageLike + comment in joined groups--likes, --comments
postPost a life update on profile--text (or auto-generate)
baitPost a recommendation request in a group--group, --trade, --template
analyzeAnalyze replies to find top providers--url (post URL)
warmFull warm-up cycle (join + engage + post)--city, --intensity
statusCheck account status and post replies(none)

Examples

# Join 5 Austin groups
bash "$CLAUDE_SKILL_DIR/scripts/fb-ops.sh" join --city Austin --count 5

# Full warm-up: 20 likes, 8 comments, 5 groups, 1 life post
bash "$CLAUDE_SKILL_DIR/scripts/fb-ops.sh" warm --city Austin --intensity double

# Post a bait in a group asking for plumber recommendations
bash "$CLAUDE_SKILL_DIR/scripts/fb-ops.sh" bait --group "South Austin Neighbors" --trade plumber --template complaint

# Analyze replies on a bait post
bash "$CLAUDE_SKILL_DIR/scripts/fb-ops.sh" analyze --url "https://www.facebook.com/groups/xxx/posts/yyy"

# Check what's happening — pending posts, replies, account health
bash "$CLAUDE_SKILL_DIR/scripts/fb-ops.sh" status

Strategy Guide

Account Warm-up (Days 1-7)

New or dormant accounts need warm-up before posting bait. The algorithm:

DayLikesCommentsGroups JoinedLife Posts
1-210451
3-415651
5-720851

Run warm action 2-4 times per day with random intervals. Avoid patterns.

Rate Limit Awareness

  • Group joins: Max 5 per batch, 30-60s between each. If rate-limited, stop and wait 24h.
  • Comments: 8-12 per session, 8-15s between each. Vary the text.
  • Posts: Max 2-3 bait posts per day across different groups.
  • Session length: Keep each session under 15 minutes.

Bait Post Templates

Five proven templates available via --template:

TemplateStyleBest For
urgent"Emergency! Need [trade] ASAP"High urgency, fast replies
research"Doing research, who's the best..."Neutral, many recommendations
newcomer"Just moved to [city], need..."Sympathetic, welcoming replies
complaint"Had terrible experience, need someone better"Emotional, specific recommendations
poll"Who's your go-to [trade]?"Engagement-style, many tags

Analyzing Replies

The analyze action parses comments for:

  • @mentions and tagged business pages
  • "I recommend X" / "Call X" / "Use X" patterns
  • Phone numbers and business names (Title Case detection)
  • Frequency ranking — most-mentioned = highest priority lead

Outreach DM Templates

After identifying top providers, generate personalized DMs:

  • Warm intro: Reference the group + original post
  • Value prop: Mention their frequent recommendations
  • CTA: Offer free trial / consultation
  • Follow-up: 3-day and 7-day scripts

Architecture

fb-local-lead-sniper/
├── SKILL.md              # This file — skill definition
├── README.md             # User documentation
├── scripts/
│   ├── fb-ops.sh         # Main entry point + CLI parser
│   ├── cdp-helpers.sh    # CDP proxy utility functions
│   ├── join.sh           # Group joining logic
│   ├── engage.sh         # Likes + comments
│   ├── post.sh           # Life posts + bait posts
│   └── analyze.sh        # Reply analysis
├── templates/
│   ├── bait-posts.json   # Bait post templates by trade
│   ├── comments.json     # Engagement comment pool
│   ├── life-posts.json   # Life update post pool
│   └── dm-scripts.json   # Outreach DM templates
└── tests/
    └── test_basic.sh     # Unit tests

Important Notes

  • This skill operates on the user's real Chrome browser via CDP. All actions are visible to Facebook.
  • Facebook actively detects automation. Built-in delays and randomization reduce risk but cannot eliminate it.
  • Always warm up accounts before posting bait. Cold accounts posting requests get flagged.
  • Respect group rules — some groups prohibit self-promotion or solicitation.
  • The skill creates and closes its own browser tabs. It does not touch existing user tabs.

适合场景

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OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

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需要对比不同来源的安装命令和来源信息时

能力概览

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能力 2

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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

OpenClaw

98.2%
按下载量换算983

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可疑

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可疑

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通过

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安装前确认

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