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Agent Skill · 研究检索

bookforge-seo-channel-strategy(bookforge SEO channel strategy 搜索)

bookforge-seo-channel-strategy 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。

bookforge-seo-channel-strategy 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 38,142。

总安装 1,607周安装 65GitHub Stars 公开资料未说明下载 504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
MIT-0
版本
1.0.0

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:bookforge-seo-channel-strategy(bookforge SEO channel strategy 搜索)
来源仓库:https://github.com/quochungto/bookforge-seo-channel-strategy
安装命令:
openclaw skills install bookforge-seo-channel-strategy
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 bookforge-seo-channel-strategy

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。

用于查找、检索和筛选相关信息,适合在 OpenClaw 中快速定位候选结果。适用于使用胖头与长尾二元框架选择 SEO 策略,比较流量与成本效益。可结合来源仓库和原始 README 核验具体用法,辅助 SEO 规划决策。安装前需确认权限范围、维护状态,注意是否会触发联网、命令执行或文件读写。

建议在使用前评估技能的实际输出边界,避免依赖其直接决策。

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 OpenClaw;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 openclaw skills install bookforge-seo-channel-strategy;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

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

bookforge-seo-channel-strategy 怎么安装?

在终端执行 openclaw skills install bookforge-seo-channel-strategy。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bookforge-seo-channel-strategy 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

bookforge-seo-channel-strategy 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

bookforge-seo-channel-strategy 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

bookforge-seo-channel-strategy 用的人多吗?

公开数据是累计安装 1,607 次,近一周安装 65 次,下载 504 次。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。

bookforge-seo-channel-strategy 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
bookforge-seo-channel-strategy

bookforge SEO channel strategy 搜索 · 本页

1,607—调用外部服务MIT-0通过

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

name
seo-channel-strategy
description
Select and execute an SEO strategy using the fat-head vs long-tail binary decision framework. Use whenever a founder or marketer is planning SEO, comparing organic search strategies, choosing between targeting high-volume category keywords or many low-volume long-tail terms, evaluating keyword difficulty, planning content production for SEO, or avoiding black-hat tactics. Activates on phrases like 'SEO strategy', 'SEO', 'search engine optimization', 'organic search', 'ranking on Google', 'keyword research', 'fat-head', 'long-tail', 'content for SEO', 'Moz', 'keyword difficulty', 'link building', 'SERP', 'backlinks'.
version
1.0.0
homepage
https://github.com/bookforge-ai/bookforge-skills/tree/main/books/traction/skills/seo-channel-strategy
metadata
{"openclaw":{"emoji":"📚","homepage":"https://github.com/bookforge-ai/bookforge-skills"}}
status
draft
source-books
title
Traction: A Startup Guide to Getting Customers
authors
["Gabriel Weinberg", "Justin Mares"]
chapters
[13]
domain
startup-growth
tags
[startup-growth, seo, organic-search, content-marketing, keyword-strategy]
depends-on
[bullseye-channel-selection]
execution
tier
1
mode
hybrid
inputs
description
Product category, competitor list, current SEO metrics
tools-required
[Read, Write]
tools-optional
[WebFetch, AskUserQuestion]
mcps-required
[]
environment
Plain-text working directory for SEO strategy and keyword plans
discovery
goal
Select fat-head vs long-tail SEO strategy and produce an executable plan
tasks
audience
roles
[startup-founder, growth-marketer, content-marketer]
experience
beginner-to-intermediate
when_to_use
triggers
prerequisites
why
SEO should be selected via Bullseye, especially for new product categories
not_for
environment
codebase_required
false
codebase_helpful
false
works_offline
false
quality
scores
with_skill
null
baseline
null
delta
null
tested_at
null
eval_count
0
assertion_count
11
iterations_needed
0

SEO Channel Strategy

When to Use

The startup is evaluating SEO as a channel or rebuilding an existing SEO strategy. Before starting, verify:

  • There is some existing search demand for the category, OR the user accepts that long-tail-only is the path
  • The user can commit to a months-long time horizon (SEO compounds slowly)
  • A content production capability exists (in-house or freelance)

Context & Input Gathering

Required Context (must have — ask if missing)

  • Product category and target audience: what people might search for

→ Check prompt for: product name, category description, ideal customer → If missing, ask: "What does your product do, and who searches for products like yours?"

  • Competitor list: who else ranks for the relevant terms

→ Check prompt for: competitor names, category incumbents → If missing, ask: "Who are the main competitors already ranking for terms in your category?"

Observable Context

  • Current organic traffic: if any
  • Domain authority: new domain vs established
  • Content production capacity: in-house writers, freelance budget

Default Assumptions

  • Only 10% of clicks go beyond the first 10 search results — page 1 or nothing
  • Test fat-head keywords via SEM first before committing to SEO investment
  • Long-tail requires template + freelance production pipeline at scale

Sufficiency Threshold

SUFFICIENT: category + audience + competitors known
PROCEED WITH DEFAULTS: category known, use Keyword Planner to discover competitors
MUST ASK: category or product is unknown

Process

Use TodoWrite:

  • [ ] Step 1: Check for existing search demand
  • [ ] Step 2: Evaluate fat-head feasibility
  • [ ] Step 3: Make the binary fat-head vs long-tail decision
  • [ ] Step 4: Design keyword evaluation process
  • [ ] Step 5: Plan content production pipeline
  • [ ] Step 6: Avoid black-hat tactics

Step 1: Check For Existing Search Demand

ACTION: Use Google Keyword Planner (or equivalent tool) to check search volume for category terms. If there's zero or near-zero volume, the category is too new for SEO to work via fat-head. Users need to already be searching for something.

Example disqualifier: Uber in its early days — nobody was searching for "alternatives to taxi cabs via phone app" because the category didn't exist yet. SEO couldn't create that demand.

WHY: SEO is demand fulfillment, not demand creation. No search demand = no SEO opportunity. Spending SEO resources on a category nobody searches for produces zero traffic regardless of how perfect the content is.

IF no existing search demand → SEO is not a primary channel. Return to Bullseye.

Step 2: Evaluate Fat-Head Feasibility

ACTION: For the category terms with search demand, check:

  1. Monthly search volume — is it meaningful? Use the 10% capture test: if you captured 10% of monthly searches, would that actually matter for your traction goal?
  2. Competitor strength — use Open Site Explorer (Moz) or equivalent to check competitor backlink counts. High competitor link counts = very hard to rank on page 1.
  3. Page-1 feasibility — realistic check. Only 10% of clicks go beyond page 1. Ranking 12 is worthless.

Test fat-head keywords via SEM first: buy a few hundred dollars of Google Ads on the target terms. If they convert well, SEO is worth pursuing. If they don't convert on paid, SEO won't rescue them.

WHY: Page-1 ranking is the actual goal, not "ranking." Ranking 2nd or 3rd page produces near-zero traffic. If the competition is too strong for page 1, long-tail is the better strategy. The SEM pre-test is cheap validation — it saves months of SEO work on keywords that wouldn't have converted anyway.

Step 3: Make the Binary Fat-Head vs Long-Tail Decision

ACTION: Based on Steps 1-2, apply the binary decision:

Fat-Head Strategy if:

  • Existing category search demand is high
  • Your product directly describes what people search for
  • Competition is beatable (you can plausibly rank on page 1)
  • SEM pre-test showed those keywords convert

Long-Tail Strategy if:

  • Fat-head is too competitive
  • Your product has niche use cases or specific buyer personas
  • You can produce large volumes of targeted content
  • Long-tail aggregates to meaningful volume in your category

Write the strategy decision to seo-strategy.md.

WHY: The binary is not "do both" — at early stage, you have to commit resources to one or the other. Fat-head requires link building and authority; long-tail requires content production at scale. These are different operational patterns. Splitting effort means under-investing in both. Choose one, execute it, revisit in 6 months.

Step 4: Design Keyword Evaluation Process

ACTION: For the chosen strategy, build a keyword evaluation pipeline:

Fat-head process:

  1. Use Google Keyword Planner for volumes on category terms
  2. Check Google Trends for trajectory and geography
  3. Use Open Site Explorer for competitor backlink counts
  4. Validate via SEM paid test ($500)
  5. If all checks pass → pursue SEO

Long-tail process:

  1. Use Keyword Planner for long-tail variants (add modifiers like location, use case, persona)
  2. Check own analytics for existing long-tail traffic
  3. Analyze competitors with site:domain.com to see their long-tail coverage
  4. Create standard landing page template
  5. Hire freelancers to produce targeted content per keyword bucket
  6. Add geographic modifiers for local variants

WHY: Both strategies need rigorous keyword evaluation — but the rigor is different. Fat-head needs competitive analysis because you're attacking crowded terms. Long-tail needs scale tooling because you're producing hundreds of pages. Designing the process upfront prevents reactive keyword picking.

Step 5: Plan Content Production Pipeline (Long-Tail)

ACTION: If pursuing long-tail, design the production pipeline:

  • Template: a standard landing page layout that fits every long-tail keyword
  • Freelance sourcing: Upwork, Elance, specialized content agencies
  • Quality control: checklist for on-page SEO (title, H1, meta description, word count, internal links)
  • Geographic modifier system: for local variants, use template + city-specific data
  • Content calendar: weekly production targets

Long-tail strategy economics: $3-10 per article via freelancers, compounds over time as pages rank.

WHY: Long-tail doesn't work without scale. Writing 10 long-tail pages produces 10 visitors/month. Writing 1,000 produces meaningful traffic. The pipeline is what makes 1,000 possible without each page being bespoke. Founders who skip the pipeline write 20 pages manually and give up.

Step 6: Avoid Black-Hat Tactics

ACTION: Document the anti-patterns to avoid — see references/black-hat-seo.md.

The biggest: don't buy links. Buying links is against search engine guidelines and produces severe ranking penalties when detected (which is increasingly reliable).

Other black-hat tactics to avoid: cloaking, keyword stuffing, hidden text, doorway pages, content spinning, comment spam.

WHY: Black-hat tactics can work in the short term (which is why they're tempting), but search engines detect and penalize them. The penalty often destroys organic traffic entirely — not just reduces it. "I rarely see startups fail because they didn't have a good idea. Where I see 90% of startups fail is because they can't reach their customers." — Rand Fishkin. Black-hat shortcuts are one of the ways that "can't reach customers" happens.

Inputs

  • Product category
  • Target audience
  • Competitor list
  • Content production capacity

Outputs

Four markdown files:

  1. seo-strategy.md — Fat-head vs long-tail decision with reasoning
  2. seo-keyword-plan.md — Evaluated keywords with volumes and difficulty
  3. seo-content-pipeline.md — Content production plan (long-tail only)
  4. seo-avoid-list.md — Black-hat tactics to explicitly avoid

Key Principles

  • SEO is demand fulfillment, not demand creation. Without existing search volume, SEO can't work. WHY: If nobody searches for what you do, no amount of content will get you traffic. SEO depends on users already looking for something.
  • Page 1 or nothing. Only 10% of clicks go beyond first 10 results. Ranking 12 is worthless. WHY: Organic click-through drops off precipitously by position. The game is page 1; second page is failure.
  • Test with SEM before investing in SEO. SEM produces keyword validation in days. SEO takes months. Don't commit to SEO on keywords you haven't validated. WHY: Months of wasted SEO work on non-converting keywords is a common failure. $500 of SEM ads answers "does this convert?" in 2 weeks.
  • Fat-head vs long-tail is binary at early stage. Pick one. Split effort = under-investment in both. WHY: These strategies have different operational patterns. Link building for fat-head is a different skill and tool set than content production at scale for long-tail.
  • Long-tail needs a pipeline, not one-off writing. 1,000 pages beats 10 pages. Template + freelancers + quality control. WHY: Long-tail's value is aggregation. 10 pages produces a trickle; 1,000 pages produces traffic. The pipeline is what enables scale.
  • Never buy links. The penalty is worse than the short-term benefit. WHY: Search engines detect paid links increasingly reliably. The penalty destroys traffic. The short-term gain is not worth the catastrophic long-term risk.

Examples

Scenario: New SaaS category with no search demand

Trigger: "We built AI-powered contract review for small law firms. Nobody searches for 'AI contract review for small law firms'. How do we SEO this?"

Process: (1) Check Keyword Planner — zero volume on the specific term. (2) Broaden: "contract review software" has volume but competitors are $50M companies. (3) Long-tail path: "contract review software for small law firms", "AI contract review tool for solo attorneys", "NDA review software". (4) SEM pre-test on 3 long-tail clusters — 2 convert. (5) Long-tail strategy: template landing pages + freelancer pipeline for 50 specific long-tail pages in Q1.

Output: Clear decision that fat-head isn't viable, long-tail path with specific keyword clusters and production plan.

Scenario: Established category with beatable competitors

Trigger: "We make a note-taking app. 'Note taking app' has 50k searches/month. Competitors: Evernote, Notion, Apple Notes. Should we do SEO?"

Process: (1) Keyword Planner confirms 50k/month. (2) 10% capture test: 5k visits/month. Meaningful? Depends on conversion — probably yes for early stage. (3) Competitor check: Evernote has 300k backlinks, Notion has 500k, Apple Notes dominates. Page-1 for "note taking app" is impossible without years of link building. (4) Fat-head infeasible → long-tail it is. (5) Long-tail clusters: "note taking app for [profession]", "note taking app with [feature]", "Evernote alternative for [use case]".

Output: Long-tail strategy with specific cluster plan, acknowledgment that fat-head is a 3+ year play.

Scenario: Buying links temptation

Trigger: "An agency offered to sell us 100 backlinks from finance blogs for $2,000. Our SEO hasn't been growing. Should we do it?"

Process: (1) Identify this as the black-hat temptation. (2) Explain the penalty: if Google detects paid links (which is increasingly reliable), you lose rankings across the whole site, not just for these keywords. (3) Recovery from penalties takes 3-6 months of disavow work. (4) Calculate expected value: short-term gain 3-month boost × 20% chance it works + long-term penalty worth $50k of lost traffic × 60% chance of detection = catastrophically negative EV. (5) Alternative: invest the $2,000 in 2-3 guest posts on relevant blogs via legitimate outreach.

Output: Clear rejection with EV calculation, alternative white-hat plan.

References

License

This skill is licensed under CC-BY-SA-4.0. Source: BookForge — Traction: A Startup Guide to Getting Customers by Gabriel Weinberg and Justin Mares.

Related BookForge Skills

Install related skills from ClawhHub:

  • clawhub install bookforge-bullseye-channel-selection — Select SEO via Bullseye deliberately
  • clawhub install bookforge-sem-performance-optimization — Validate SEO keywords with SEM first
  • clawhub install bookforge-content-and-email-marketing — Content is the long-tail SEO production system

Or install the full book set from GitHub: bookforge-skills

平台分布

OpenClaw

80.02%
按下载量换算403

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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