Agent skill

Backlink Discovery

by kennyzir in kennyzir/7deer_skills

外链机会发现引擎。用户输入目标网址,立即用 websearch 开始多轮关键词派生搜索, 目标发现 300 个相关平台后自动停止,结果存入该网址专属数据库。

MITAuto-check passedMarketing & SEO

Install Backlink Discovery

skills CLI
$ npx skills add kennyzir/7deer_skills --skill backlink-discovery -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kennyzir/7deer_skills backlink-discovery --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/backlink-discovery .claude/skills/backlink-discovery && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
backlink-discovery
GitHub stars
322
Token cost
~655 tokens
SKILL.md length
157 words
Files
6 (incl. scripts)
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

外链机会发现引擎。用户输入目标网址,立即用 websearch 开始多轮关键词派生搜索, 目标发现 300 个相关平台后自动停止,结果存入该网址专属数据库。

  • Works in 4 steps: :接收任务,提取种子关键词 → :多轮 web_search(前台执行) → :结果写入数据库 → …
  • Tasks that involve Link building
  • SKILL.md covers 核心逻辑, 触发方式, 执行流程(前台 web_search) and 数据库读取, plus 4 more sections
  • Runs Python scripts from its folder; reaches xxx.com and yyy.com

What it does

Backlink Discovery is an agent skill from kennyzir/7deer_skills. 外链机会发现引擎。用户输入目标网址,立即用 websearch 开始多轮关键词派生搜索, 目标发现 300 个相关平台后自动停止,结果存入该网址专属数据库。 不限外链方式(论坛/GitHub/Wiki/目录等),只发现不执行。 触发:用户提供网址,说"发现外链"、"找外链机会"、"发现外链机会"。

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `WORKFLOW.md`, `memory/README.md` and `scripts/discovery_engine.py`).

It sits in Marketing & SEO, covering Link building and Web search. It works with GitHub. The repository describes itself as: Composable, auditable Agent Skills for building Roblox game sites—from opportunity and keyword research to content, SEO, updates, and backlinks. The licence is MIT.

When your agent uses it

  • Tasks that involve Link building
  • Tasks that involve Web search

Example prompts

  • “发现外链机会”
  • “/backlink-discovery”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. :接收任务,提取种子关键词
  2. :多轮 web_search(前台执行)
  3. :结果写入数据库
  4. :返回结果

What it can do on your machine

Read from SKILL.md and the folder at commit 32a6881. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 3 files in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • xxx.com
    • yyy.com
    • robloxcalc.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Backlink Discovery loads about 655 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 157 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~655

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from kennyzir/7deer_skills at commit 32a6881, republished under its MIT licence (© kennyzir). 157 words, ~655 tokens.

Download SKILL.mdSave it as .claude/skills/backlink-discovery/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
backlink-discovery
description
外链机会发现引擎。用户输入目标网址,立即用 web_search 开始多轮关键词派生搜索, 目标发现 300 个相关平台后自动停止,结果存入该网址专属数据库。 不限外链方式(论坛/GitHub/Wiki/目录等),只发现不执行。 触发:用户提供网址,说"发现外链"、"找外链机会"、"发现外链机会"。

核心逻辑

每个 URL = 独立发现任务,目标 300 个平台。

用户输入 https://xxx.com
  → 立即用 web_search 开始前台搜索
  → 多轮关键词派生,持续发现
  → 达到 300 个平台后停止
  → 结果存入数据库

下次输入 https://yyy.com
  → 新的独立发现任务
  → 各自数据库,互不干扰

触发方式

发现 https://xxx.com 的外链机会(目标300个)
Step 1:接收任务,提取种子关键词

解析目标 URL,实时提取种子关键词(不写死):

https://robloxcalc.com
  ↓
种子关键词:roblox, calculator, math, lua, game, game calculator, gaming, education, tool
Step 2:多轮 web_search(前台执行)

每轮用 web_search 搜索 8-12 个查询,从结果提取平台域名 → 分类 → 判断相关度。

搜索词思路要宽,不要只搜"xxx alternatives":

  • 竞品 + "free tools list"
  • 竞品 + "directory submit"
  • 竞品 + "community"
  • 竞品 + "tutorial resources"
  • 竞品 + "wiki"
  • 竞品 + "github awesome list"
  • 竞品 + "for kids/math/education"
  • 竞品 + "game dev"
  • 竞品 + "fan sites blogs"
  • 竞品 + "similar games"
  • 竞品 + "submit free"

每轮结束后从发现结果中派生新关键词 → 进入下一轮。

停止条件:

  • 达到 300 个平台 → 停止
  • 连续 2 轮无新发现 → 停止
Step 3:结果写入数据库

每个 URL 独立数据库目录:

memory/backlink-discovery/{提取的域名}/
├── platforms.json      # 所有发现平台(含相关度、方式分类)
└── summary.md         # 汇总报告
Step 4:返回结果

发现完成后返回:

  • 总平台数 + P0/P1/P2 分布
  • 外链方式分布
  • Top 10 高相关平台
  • 数据存放路径

用户查询时读数据库返回最新状态。

数据库读取

查询 https://xxx.com 的外链发现结果
→ 读 memory/backlink-discovery/xxx_com/platforms.json
→ 返回 P0/P1/P2 分类 + 外链方式分布 + 完成状态

平台分类体系

分类相关度说明
🔴 P0≥0.7主题高度相关,明显外链机会
🟡 P10.4-0.7较相关,可尝试
🟢 P2<0.4关联一般

外链方式分类

方式适用平台
forum_postReddit、Discord、GameFAQs 等社区
github_prGitHub Awesome Lists、资源列表
wiki_editWikipedia、Fandom Wiki
alternatives_articleAlternatives/对比文章站
directory_submit目录站、产品提交页
guest_postDev.to、Hashnode、技术博客
email_outreach有联系邮箱的任意平台
social_postTwitter、LinkedIn
manual_review其他方式

输出格式

# {网站} 外链机会发现报告

## 发现状态
- 状态:已完成
- 平台库:X / 300 个
- 发现时间:时间

## 🔴 P0 高相关平台(X 个)
[表格]

## 🟡 P1 中相关平台(X 个)
[按类型分组列出]

## 🟢 P2 低相关平台(X 个)

## 📊 外链方式分布
- Forum 发帖:X 个
- GitHub PR:X 个
- Alternatives Outreach:X 个
- 目录提交:X 个
- 其他:X 个

## 🔄 下一步
建议执行 backlink-executor 处理 P0 平台

注意事项

  • 前台执行 — 用 web_search 直接跑,不用 sessions_spawn(Playwright 会被搜索引擆拦截)
  • 思路要宽 — 游戏、教育、工具、社区、博客、GitHub、Wiki 都是外链来源
  • 不要笃定"到顶了" — 相关平台数量往往比第一眼预估的多很多
  • 每个 URL 独立任务 — 不同 URL 互不干扰
  • 目标 300 个平台 — 达到后自动停止
  • 只发现不执行 — 执行放 backlink-executor
  • 长期积累 — 数据库不覆盖,持续追加

© kennyzir, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts) in backlink-discovery of kennyzir/7deer_skills.

  • SKILL.md
  • WORKFLOW.md
  • memory/README.md
  • scripts/discovery_engine.py
  • scripts/discovery_prompt.py
  • scripts/discovery_task.py

Open the folder on GitHubat commit 32a6881

Compare with similar skills

Backlink Discovery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Backlink Discovery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Backlink Discovery this skillkennyzir/7deer_skills322—~655Automated safety check: PassMIT
Build Backlinksonvoyage-ai/gtm-engineer-skills1.3k—~2.3kAutomated safety check: PassMIT
Offsite Signal Analyzeraaron-he-zhu/aaron-marketing-skills2.9k1 repos~4.4kAutomated safety check: PassApache-2.0
Page Play Builderaaron-he-zhu/aaron-marketing-skills2.9k—~3.6kAutomated safety check: PassApache-2.0
Media Ingestinbrainfun/inbrain1421 repos~935Automated safety check: PassCustom licence
Parasite SEOkostja94/marketing-skills1k—~1.8kAutomated safety check: PassMIT

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Works with

Categories

Questions about Backlink Discovery

What does Backlink Discovery do?

外链机会发现引擎。用户输入目标网址,立即用 websearch 开始多轮关键词派生搜索, 目标发现 300 个相关平台后自动停止,结果存入该网址专属数据库。. Backlink Discovery is an agent skill from kennyzir/7deer_skills.

When should I use Backlink Discovery?

Backlink Discovery fits situations like: tasks that involve Link building; tasks that involve Web search.

How do I install Backlink Discovery in Claude Code?

Run `npx skills add kennyzir/7deer_skills --skill backlink-discovery -a claude-code`. Or copy the skill folder (backlink-discovery in kennyzir/7deer_skills) into .claude/skills/backlink-discovery in your project. Claude Code loads it when a task matches its description.

How do I install Backlink Discovery in Codex?

Run `npx skills add kennyzir/7deer_skills --skill backlink-discovery -a codex`. Or copy the skill folder (backlink-discovery in kennyzir/7deer_skills) into .agents/skills/backlink-discovery in your project. Codex loads it when a task matches its description.

Can I use Backlink Discovery in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kennyzir/7deer_skills --skill backlink-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/backlink-discovery, .gemini/skills/backlink-discovery, .github/skills/backlink-discovery and .opencode/skills/backlink-discovery in your project.

What does Backlink Discovery need to run?

Going by SKILL.md and its folder, Backlink Discovery needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Backlink Discovery access the network?

SKILL.md names 3 domains. In commands or code: xxx.com, yyy.com and robloxcalc.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Backlink Discovery safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Backlink Discovery use?

Backlink Discovery is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Backlink Discovery use?

About 655 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Backlink Discovery?

Skills that share tags, products or a category with Backlink Discovery: Build Backlinks (onvoyage-ai/gtm-engineer-skills, 1.3k stars), Offsite Signal Analyzer (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Page Play Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars) and Media Ingest (inbrainfun/inbrain, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Backlink Discovery?

kennyzir (a GitHub user) maintains it in kennyzir/7deer_skills, which has 322 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 29, 2026.

Source: kennyzir/7deer_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.