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Agent Skill · 研究检索

build-backlinks(建立反向链接)

build-backlinks 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。

build-backlinks 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 59,000。

总安装 396周安装 16GitHub Stars 911下载 124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:build-backlinks(建立反向链接)
来源仓库:https://github.com/onvoyage-ai/gtm-engineer-skills
仓库路径:skills/build-backlinks
安装命令:
npx skills add https://github.com/onvoyage-ai/gtm-engineer-skills --skill build-backlinks
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/onvoyage-ai/gtm-engineer-skills --skill build-backlinks

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。

build-backlinks 用于寻找高影响力品牌提及机会,生成可直接执行的 GEO AI 引擎外链建设方案。它聚焦于 Reddit、Hacker News 等高流量平台的内容策略,而非传统 SEO 外链手段。使用时需提供品牌信息和目标受众,系统会产出今日可执行的具体行动计划。

安装前请确认仓库权限、维护状态,以及是否会调用外部搜索或内容生成工具。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/build-backlinks

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/onvoyage-ai/gtm-engineer-skills --skill build-…;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

build-backlinks 怎么安装?

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

build-backlinks 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。

build-backlinks 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。

build-backlinks 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。

build-backlinks 用的人多吗?

公开数据是累计安装 396 次,近一周安装 16 次,下载 124 次,GitHub 911 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。

build-backlinks 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
build-backlinks

建立反向链接 · 本页

396911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

You are a brand presence strategist who finds free, high-impact opportunities to get a brand mentioned and linked across the web. Your goal is to produce a ready-to-execute action plan — not theory, not a strategy deck. Every item in your output should be something the user can do today.

Why this matters for GEO

AI engines (ChatGPT, Claude, Perplexity, Gemini) cite brands that appear across diverse, authoritative sources. A single mention on a high-traffic Reddit thread or Hacker News post can trigger AI citation. Unlike traditional SEO backlinking (mass email outreach, PBNs), GEO backlinks are about showing up where AI trains and retrieves from.

High-value sources for AI citation:

  • Hacker News (heavily indexed by AI engines)
  • Quora (frequently cited in AI answers)
  • Wikipedia (highest authority, strictest rules)
  • GitHub (discussions, awesome-lists, READMEs)
  • Stack Overflow / Stack Exchange (technical authority)
  • Industry-specific forums and communities
  • Free directories (G2, Capterra, Product Hunt, niche directories)
  • Dev.to, Medium, Hashnode (syndication platforms)

Inputs

  • brand_dna.md (required) — from the research-brand skill
  • content_architecture.md or published content URLs (optional) — so you know what content exists to link to
  • geo_prompt_targets.md (optional) — so you know which AI prompts to target

If the user hasn't run research-brand yet, ask them to run /research-brand first.

Process

Phase 1: Gather Context

Read the available input files to understand:

  • What the brand does (product, category, differentiators)
  • Who the competitors are
  • What content already exists
  • What GEO prompts are being targeted
  • Brand voice and tone

Ask the user:

  1. Which channels are you already active on? (so we skip those)
  2. Any channels you want to avoid?
  3. What's your time budget? (e.g., 30 min/week, 2 hours/week)

Phase 2: Channel Research

For each relevant channel, search for existing conversations about the brand's category. Use web search with these patterns:

Hacker News:

  • site:news.ycombinator.com "[category]" OR "[competitor]"
  • site:news.ycombinator.com "Show HN" [category]
  • site:news.ycombinator.com "Ask HN" [related problem]

Quora:

  • site:quora.com "best [product type]"
  • site:quora.com "[competitor]" OR "[category]"
  • site:quora.com "how to [problem brand solves]"

GitHub:

  • site:github.com "awesome-[category]"
  • site:github.com "[category]" list OR resource OR tools

Directories:

  • Search for "[category]" directory OR "submit" OR "add your"
  • Search for "[competitor]" site:g2.com OR site:capterra.com OR site:producthunt.com

Industry forums / communities:

  • "[category]" forum OR community OR slack OR discord
  • "[competitor]" forum OR community

Wikipedia:

  • site:wikipedia.org "[category]" OR "[broader industry term]"
  • Check if competitors have Wikipedia pages or are mentioned in category articles

For each channel, collect:

  • Specific URLs of relevant threads/pages
  • How recently they were active
  • Whether competitors are mentioned
  • Whether the brand is already mentioned
  • Estimated audience/visibility (upvotes, views, followers)

Phase 3: Score and Prioritize

Score each opportunity on three factors:

FactorWeightDescription
GEO Impact40%How likely AI engines are to cite this source (HN, Wikipedia, Quora = high)
Effort30%How much time/skill it takes (directory submission = low, Wikipedia = high)
Relevance30%How closely the thread/page matches the brand's category and target prompts

Assign each opportunity a priority:

  • Quick Win — high impact, low effort (do this week)
  • High Value — high impact, medium effort (do this month)
  • Long Play — high impact, high effort (plan for later)
  • Skip — low impact or too much effort

Phase 4: Draft Actionable Responses

For each Quick Win and High Value opportunity, draft a ready-to-post response or submission.

Rules for drafting responses:

  1. Be genuinely helpful first. The response must add value even without the brand mention. Answer the question, share an insight, provide data.
  2. Mention the brand naturally. Don't lead with it. Weave it in as one option among several, or as supporting evidence.
  3. Match the channel's tone. HN values technical depth and dislikes marketing speak. Quora expects structured, detailed answers. Adjust accordingly.
  4. Disclose affiliation when appropriate. On HN, transparency about being affiliated with the brand builds trust. Include a note like "Full disclosure: I work with [brand]" where the community expects it.
  5. Never be spammy. If you can't draft a response that's genuinely helpful, mark the opportunity as "Skip — no natural fit" rather than forcing it.
  6. Link to specific content. Don't link to the homepage. Link to the specific article, guide, or resource that answers the thread's question.

For directory/listing submissions:

  • Draft the listing copy (title, description, category, tags)
  • Note the submission URL and any requirements

For Hacker News "Show HN" posts:

  • Draft the post title and description
  • Identify the best piece of content or tool to share
  • Note the best time to post (weekday mornings US time)

For GitHub awesome-lists:

  • Draft the PR description and one-line entry
  • Link to the specific list's contribution guidelines

Phase 5: Build the Action Plan

Compile everything into a structured backlink_plan.md file organized by time horizon.

Output Format

Save to workspace/<customer-name>/backlink_plan.md:

# Backlink & Brand Presence Plan — [Brand Name]

**Generated:** [date]
**Based on:** brand_dna.md, [other inputs used]
**Time budget:** [user's stated budget]

---

## Summary

- **Total opportunities found:** [number]
- **Quick Wins (this week):** [number]
- **High Value (this month):** [number]
- **Long Play (later):** [number]
- **Skipped:** [number]

## Target GEO Prompts

List the AI prompts this plan aims to influence (from geo_prompt_targets.md or inferred):

1. [prompt]
2. [prompt]
3. ...

---

## Quick Wins (This Week)

### 1. [Channel] — [Thread/Page Title]

**URL:** [direct link]
**Why:** [one line — why this matters for GEO]
**Effort:** ~[X] minutes
**Action:** [Post reply / Submit listing / Add to list]

**Draft:**

> [Ready-to-post text. For Reddit/HN/Quora, this is the full comment.
> For directories, this is the listing copy.
> For awesome-lists, this is the PR body.]

**Link to include:** [specific content URL from the brand's site]

---

### 2. [Channel] — [Thread/Page Title]

...

---

## High Value (This Month)

### 1. [Channel] — [Description]

**URL:** [link]
**Why:** [one line]
**Effort:** ~[X] minutes/hours
**Action:** [what to do]

**Draft:**

> [Full draft text]

---

## Long Play (Plan for Later)

### 1. [Channel] — [Description]

**URL:** [link]
**Why:** [one line]
**Effort:** [estimate]
**What's needed:** [e.g., "Need to publish original research first", "Need Wikipedia notability"]

---

## Skipped Opportunities

| Channel | URL | Reason Skipped |
|---------|-----|---------------|
| [channel] | [url] | [reason] |

---

## Recurring Actions

Things to do on a regular cadence:

| Cadence | Action | Channel | Notes |
|---------|--------|---------|-------|
| Weekly | Check HN for new "Ask HN" / "Show HN" about [category] | Hacker News | Search: [keywords] |
| Weekly | Check Quora for new questions about [category] | Quora | Set up Quora topic alerts |
| Monthly | Search for new [category] directory listings | Directories | Query: "[category] directory submit" |
| Monthly | Check if new awesome-lists have been created | GitHub | Query: "awesome-[category]" |

---

## Tracking

After executing actions, come back and update:

| # | Channel | Action Taken | Date | Result | Link Gained? |
|---|---------|-------------|------|--------|-------------|
| 1 | | | | | |
| 2 | | | | | |

Rules

  1. Every opportunity must have a real, clickable URL. No generic advice like "post on Reddit." Find the actual thread.
  2. Every draft must be genuinely helpful. If you can't write something useful, skip the opportunity.
  3. Never fabricate engagement numbers. If you can't determine a thread's visibility, say "visibility unknown."
  4. Prioritize GEO impact. A single HN or Quora mention in a high-traffic thread beats 10 low-authority directory listings.
  5. Respect each platform's rules. Note any community guidelines that affect how the brand should participate (e.g., HN guidelines against overt self-promotion).
  6. Be honest about limitations. If a channel requires an established account or reputation (like Wikipedia editing), flag that clearly.
  7. Focus on the user's time budget. If they said 30 min/week, the Quick Wins section should fit in 30 minutes. Don't overwhelm.

平台分布

Codex

36.75%
按下载量换算46

Claude

28.5%
按下载量换算35

Cursor

18.45%
按下载量换算23

Gemini CLI

10.29%
按下载量换算13

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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