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在 OpenClaw 中安装
/install keyword-research
功能描述
Use when the user asks to "find keywords"; prioritizes volume, difficulty, intent, and clusters from provided or connected data. 关键词研究/内容选题
安全使用建议
Safe to install for normal SEO keyword research. Before using connected SEO or Search Console tools, verify account and site scopes; before saving results to memory, consider whether keyword priorities, competitor facts, or content plans are confidential.
功能分析
Type: OpenClaw Skill
Name: keyword-research
Version: 9.9.9
The keyword-research skill is a comprehensive SEO framework designed to guide an AI agent through a structured 8-phase keyword analysis process. The bundle consists entirely of Markdown documentation and metadata (SKILL.md, _meta.json, and various reference files) that define scoring methodologies, intent taxonomies, and reporting templates. There is no executable code, no evidence of data exfiltration, and no suspicious prompt-injection attempts; the skill's behavior is strictly aligned with its stated purpose of SEO research and state management within the OpenClaw environment.
能力评估
Purpose & Capability
The artifacts coherently describe SEO keyword discovery, scoring, intent classification, and topic clustering; metadata capability tags for crypto and purchases are not supported by the artifact text and appear unrelated rather than active behavior.
Instruction Scope
The workflow is explicit and user-facing, but a few triggers such as general writing ideation are broad enough to invoke the skill outside a strict SEO request.
Install Mechanism
The package contains Markdown documentation and reference files only, with no executable scripts, dependencies, startup commands, or install-time behavior.
Credentials
Optional SEO tool, Search Console, live SERP, and prior strategy data are proportionate for keyword research, but should be limited to intended sites and accounts.
Persistence & Privilege
The skill discloses saving research deliverables and promoting keyword priorities, competitor facts, and strategy decisions into memory paths; line 122 frames saving as an offer after delivery.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install keyword-research - 安装完成后，直接呼叫该 Skill 的名称或使用
/keyword-research触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v9.9.9
Published from v9.9.9 @ bd84c7a
v9.9.5
Published from v9.9.5 @ 7ecc77b
v9.9.0
Published from main @ 7861a09
v9.5.0
Published from main @ 9967b3d
v9.1.0
Published from main @ d9bf8c7
v9.0.1
Published from main @ 3642433
v9.0.0
Published from main @ 032eb65
v8.0.2
Published from main @ 728f02d
v8.0.1
Published from main @ e644cbe
v8.0.0
v8.0.0: Unified version release — consolidates Wiki Knowledge Layer, Auditor Runbook inline strategy, Critical Fail Cap, Guardrail Negatives, and 2 new commands
v7.2.0
v7.2.0: conversion-focused first paragraphs, cross-promotion tables, deduplicated Chinese keywords, semantic density paragraphs for on-page/technical SEO auditors
v7.1.0
Improve ClawHub search discoverability: optimized display name, tags, and description for vector search
v7.0.0
v7.0.0: Wiki Knowledge Layer + infrastructure upgrades
v6.2.0
v6.2.0: when_to_use + argument-hint frontmatter, hook hardening, memory system upgrades
v6.0.0
v6.0.0: GStack pattern adoption — Completion Status Protocol, Escalation Protocol, Anti-Slop Output Voice, 8 named workflow phases, Decision Gates, AUTO-FIX vs ASK, 750+ multilingual triggers, all descriptions ≤180 UTF-8 bytes for full ClawHub display
v5.1.0
v5.1.0: multilingual trigger optimization — 5 languages, 750+ triggers
v5.0.0
v5.0.0: Unified operating model — hook automation, temperature memory, protocol gates, state write-through, trigger widening
v4.1.0
v4.1.0: publish GitHub absolute links for published docs and sync version metadata
v4.0.0
v4.0.0: ClawHub-first marketplace optimization — security fixes, vector search descriptions, multi-ecosystem install docs
v3.0.0
Version 3.0.0 of keyword-research introduces major enhancements for keyword analysis and integration:
- Added support and documentation for advanced integrations (Ahrefs, SEMrush, Google Keyword Planner, Google Search Console, or manual input).
- Expanded description and triggers to cover new use cases such as keyword difficulty score, search volume data, CPC estimates, long-tail keyword suggestions, and content calendar planning.
- Includes compatibility info for multiple marketplaces and environments (Claude Code, skills.sh, ClawHub, Vercel Labs).
- Added new reference files: example keyword report and prioritization framework.
- Improved metadata and tags to reflect modern SEO workflows (topic clusters, pillar pages, CPC, search intent classification).
- Retains all core research, classification, and opportunity scoring features from earlier versions.
元数据
常见问题
Keyword Research 是什么？
Use when the user asks to "find keywords"; prioritizes volume, difficulty, intent, and clusters from provided or connected data. 关键词研究/内容选题. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 6111 次。
如何安装 Keyword Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install keyword-research」即可一键安装，无需额外配置。
Keyword Research 是免费的吗？
是的，Keyword Research 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Keyword Research 支持哪些平台？
Keyword Research 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Keyword Research？
由 Aaron Zhu（@aaron-he-zhu）开发并维护，当前版本 v9.9.9。
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