Agent skill

SEO Link Strategy

by kennyzir in kennyzir/7deer_skills

Research backlink opportunities, record contact evidence, and generate personalized local outreach drafts from user-provided product and contact data.

MITAuto-check passedMarketing & SEO

Install SEO Link Strategy

skills CLI
$ npx skills add kennyzir/7deer_skills --skill seo-link-strategy -a claude-code

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

GitHub CLI
$ gh skill install kennyzir/7deer_skills seo-link-strategy --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/seo-link-strategy .claude/skills/seo-link-strategy && 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
seo-link-strategy
GitHub stars
322
Token cost
~1.4k tokens
SKILL.md length
512 words
Files
5 (incl. scripts)
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Research backlink opportunities, record contact evidence, and generate personalized local outreach drafts from user-provided product and contact data.

  • Works in 3 steps: Normalize captured contact evidence → Generate local drafts → Review and optional execution
  • Backlink planning and draft preparation
  • SKILL.md covers Operating boundary, Evidence contract, 1. Normalize captured contact… and 2. Generate local drafts, plus 1 more section
  • Runs Python scripts from its folder; calls python3

What it does

SEO Link Strategy is an agent skill from kennyzir/7deer_skills. Research backlink opportunities, record contact evidence, and generate personalized local outreach drafts from user-provided product and contact data. Use for backlink planning and draft preparation; never send messages or submit forms without explicit authorization for the exact target and payload.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `scripts/contact_discoverer.py`, `scripts/email_generator.py` and `scripts/outreach_db.py`).

It sits in Marketing & SEO, covering Link building and Authorization and RBAC. 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

  • Backlink planning and draft preparation
  • Never send messages
  • Submit forms without explicit authorization for the exact target and payload

Example prompts

  • “/seo-link-strategy”

Requirements

  • Python 3

Workflow steps

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

  1. Normalize captured contact evidence
  2. Generate local drafts
  3. Review and optional execution

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.

    Shell commands in SKILL.md call:

    • python3

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

  • Network

    No URLs in SKILL.md.

    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

SEO Link Strategy loads about 1.4k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 512 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 512 words, ~1,362 tokens.

Download SKILL.mdSave it as .claude/skills/seo-link-strategy/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
seo-link-strategy
description
Research backlink opportunities, record contact evidence, and generate personalized local outreach drafts from user-provided product and contact data. Use for backlink planning and draft preparation; never send messages or submit forms without explicit authorization for the exact target and payload.

Build an evidence-backed backlink opportunity list and prepare local outreach drafts. Discovery, evidence capture, draft generation, and external execution are separate states.

This Skill does not ship a current directory of platforms or verified contacts. Candidates come from the user or from research performed at runtime. Never treat a guessed address, old list, search snippet, or role-based email pattern as an observed contact.

Operating boundary

Default work is research and local draft preparation. Do not send Gmail or other messages, submit forms, purchase placements, call paid/mutating services, or change remote systems by default.

Before any external side effect:

  1. show the exact target, payload, account, and expected effect;
  2. obtain explicit user authorization for that specific action;
  3. execute only the authorized action; and
  4. record the actual result and UTC time, including failures or uncertainty.

A draft is not-sent. An opportunity is not a backlink. An attempted submission is not completed unless a real result supports that state.

Evidence contract

Each opportunity or contact record must support these fields:

FieldRequirement
nameUser-provided or runtime-discovered platform/contact label.
source_urlExact page where the opportunity or contact evidence was observed.
observed_atPast UTC timestamp for the actual observation, or null. Future times are rejected.
statusobserved only with captured evidence and time; otherwise unknown.
emailOne value present in captured evidence, or null; never constructed from hints.
contextUser-supplied limits, conflicts, access failures, or relevance notes.

Keep sources and observation times when data is handed from research to drafting. If a page cannot be checked, preserve the candidate with status: unknown rather than filling likely values.

Show full SKILL.md (244 more words)Show less

1. Normalize captured contact evidence

Use scripts/contact_discoverer.py after the user or an available research tool supplies candidate URLs and captured page text. The script is offline: it extracts addresses only from the supplied capture and makes no network request.

Input JSON:

json
{
  "opportunities": [
    {
      "name": "Example Directory",
      "source_url": "https://directory.example/contact",
      "observed_at": "2020-01-15T09:45:00Z",
      "captured_text": "Contact: editor@example.com",
      "notes": "Captured from the public contact page."
    },
    {
      "name": "Unreviewed Candidate",
      "source_url": "https://candidate.example/contact"
    }
  ]
}

Run:

bash
python3 scripts/contact_discoverer.py --input candidates.json
python3 scripts/contact_discoverer.py --input candidates.json --output contacts.json

Without --output, JSON goes to stdout. An existing output path is never overwritten. The first record can become observed; the second remains unknown with no invented email. If supplied evidence contains multiple distinct addresses, the normalizer emits one contact record per address so every record keeps a single unambiguous recipient.

2. Generate local drafts

Use scripts/email_generator.py with user-provided product, sender, and contact data. It performs no browsing and contains no sending implementation.

The normalizer's contacts array is already the exact contact schema accepted here. Copy that array unchanged into a new object with product and sender; omit only the normalizer's top-level generated_at. No field renaming or implicit conversion is required.

json
{
  "product": {
    "name": "Example Product",
    "url": "https://product.example",
    "tagline": "User-provided product description",
    "selling_points": ["User-provided differentiator"]
  },
  "sender": {
    "name": "Your Name",
    "email": "your_email@example.com"
  },
  "contacts": [
    {
      "name": "Example Directory",
      "email": "editor@example.com",
      "source_url": "https://directory.example/contact",
      "observed_at": "2020-01-15T09:45:00Z",
      "status": "observed",
      "context": "User-provided reason this audience is relevant."
    }
  ]
}

Run:

bash
python3 scripts/email_generator.py --input outreach-input.json
python3 scripts/email_generator.py --input outreach-input.json --output drafts.json

The output marks every draft delivery_status: not-sent. Invalid inputs fail before output creation, and existing output files are not replaced.

3. Review and optional execution

Review source freshness, recipient relevance, claims, product links, sender identity, and applicable platform rules. Remove unsupported personalization instead of presenting inference as observation.

If the user later authorizes sending or submitting, use an appropriate external tool only for the approved target and payload. Store a separate result record with fields such as attempted_at, status, result_id, and error. Do not rewrite the draft-generation output to imply delivery.

© 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 4 other files (scripts) in seo-link-strategy of kennyzir/7deer_skills.

  • SKILL.md
  • scripts/contact_discoverer.py
  • scripts/email_generator.py
  • scripts/outreach_db.py
  • tests/test_safe_workflow.py

Open the folder on GitHubat commit 32a6881

Compare with similar skills

SEO Link Strategy 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.

SEO Link Strategy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SEO Link Strategy this skillkennyzir/7deer_skills322—~1.4kAutomated safety check: PassMIT
Submit Product Directories V2 Qualityflaqai/backlink_skills756—~2.2kAutomated safety check: PassMIT
FLOW SEO FrameworkAgriciDaniel/claude-seo19k2 repos~1.4kAutomated safety check: PassMIT
SEO DataforseoAgriciDaniel/codex-seo7992 repos~4.6kAutomated safety check: PassMIT
Backlink CheckRyze-AI-Adgent/open-seo-mcp-skills4.7k—~515Automated safety check: PassMIT
Beyondseobeyondtahir/beyondseo161—~4.3kAutomated safety check: PassMIT

Similar skills

  • SPD V2 Quality. An agent skill from flaqai/backlink_skills.

    756 GitHub stars~2.2k tokensUpdated 17 days ago
    Marketing & SEOAuto-check passed
  • FLOW SEO Framework

    AgriciDaniel/claude-seo

    Brings the FLOW framework's stage-specific SEO prompts into the agent, from keyword discovery through backlinks, on-page work and conversion to local SEO, loaded on demand.

    19k GitHub starsUsed in 2 repos~1.4k tokens
    Marketing & SEOAuto-check passed
  • SEO Dataforseo

    AgriciDaniel/codex-seo

    Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.

    799 GitHub starsUsed in 2 repos~4.6k tokens
    Marketing & SEOAuto-check passed
  • Backlink Check

    Ryze-AI-Adgent/open-seo-mcp-skills

    Backlink profile for any domain — referring domains, authority, anchors, new/lost links, and a side-by-side vs a competitor.

    4.7k GitHub stars~515 tokensUpdated 17 days ago
    Marketing & SEOAuto-check passed
  • Beyondseo

    beyondtahir/beyondseo

    Audit websites, apply authorised SEO improvements and plan content, competitors and backlinks with evidence, design checks and optional project monitoring.

    161 GitHub stars~4.3k tokensUpdated 16 days ago
    Marketing & SEOAuto-check passed
  • Webobsidian

    xnohat/webobsidian

    Read, write, search, and manage notes in a WebObsidian vault through its Agent REST API (/api/v1).

    268 GitHub stars~2.1k tokensUpdated 3 mo ago
    Marketing & SEOAuto-check passed

More from kennyzir/7deer_skills

All 33 skills in this repo
  • Roblox Homepage Ranking Auditor

    kennyzir/7deer_skills

    Audit a Roblox or game-site homepage against the RB Auto Golden Homepage model.

    322 GitHub stars~3.8k tokensUpdated 12 days ago
    Auto-check passed
  • Roblox Site Architect

    kennyzir/7deer_skills

    Orchestrate an evidence-backed seven-stage Roblox site growth pipeline from opportunity assessment through keyword research, source collection, site planning, SEO QA, freshness, and growth.

    322 GitHub stars~3.6k tokensUpdated 12 days ago
    Auto-check passed
  • Youtube Transcribe

    kennyzir/7deer_skills

    YouTube video transcription and memory workflow. An agent skill from kennyzir/7deer_skills.

    322 GitHub stars~1.7k tokensUpdated 12 days ago
    Auto-check passed
  • Html5 Game Radar

    kennyzir/7deer_skills

    HTML5 游戏发现雷达 - 多源监测又新又热的 HTML5 游戏,识别 SEO 套利窗口. An agent skill from kennyzir/7deer_skills.

    322 GitHub stars~1.4k tokensUpdated 12 days ago
    Auto-check passed
  • Roblox Hit Evaluator

    kennyzir/7deer_skills

    Evaluate a Roblox game's 30-day breakout potential from public evidence with auditable scores, missing-data bounds, frozen forecasts, and outcome reviews.

    322 GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • SEO Backlink Submitter

    kennyzir/7deer_skills

    为网站生成目录提交计划,并在用户显式授权时通过浏览器填写单个或批量目录表单。适用于“提交网站到目录”“SEO 外链”“目录提交”或“submit site to directories”等请求。

    322 GitHub stars~601 tokensUpdated 12 days ago
    Auto-check passed

Categories

Questions about SEO Link Strategy

What does SEO Link Strategy do?

Research backlink opportunities, record contact evidence, and generate personalized local outreach drafts from user-provided product and contact data. SEO Link Strategy is an agent skill from kennyzir/7deer_skills. Research backlink opportunities, record contact evidence, and generate personalized local outreach drafts from user-provided product and contact data.

When should I use SEO Link Strategy?

SEO Link Strategy fits situations like: backlink planning and draft preparation; never send messages; submit forms without explicit authorization for the exact target and payload.

How do I install SEO Link Strategy in Claude Code?

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

How do I install SEO Link Strategy in Codex?

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

Can I use SEO Link Strategy 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 seo-link-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-link-strategy, .gemini/skills/seo-link-strategy, .github/skills/seo-link-strategy and .opencode/skills/seo-link-strategy in your project.

What does SEO Link Strategy need to run?

Going by SKILL.md and its folder, SEO Link Strategy needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does SEO Link Strategy access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is SEO Link Strategy 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 SEO Link Strategy use?

SEO Link Strategy 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 SEO Link Strategy use?

About 1.4k tokens (SKILL.md is roughly 5.4k 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 SEO Link Strategy?

Skills that share tags, products or a category with SEO Link Strategy: Submit Product Directories V2 Quality (flaqai/backlink_skills, 756 stars), FLOW SEO Framework (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars) and Backlink Check (Ryze-AI-Adgent/open-seo-mcp-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Link Strategy?

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.