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版本数
在 OpenClaw 中安装
/install keyword-research
功能描述
Use when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connec...
安全使用建议
Review this skill before installing. It does not show evidence of deception or destructive behavior, but users should avoid letting an agent paste raw keyword inputs into the documented shell commands, and should only allow memory writes after confirming what business, market, Search Console, and competitor information will be stored.
能力评估
Credentials
Optional SEO and Search Console integrations are purpose-aligned, but the documented command templates place user-controlled seed, keyword, or topic values inside shell commands, creating avoidable command-execution risk if followed literally.
Install Mechanism
The packaged artifact is Markdown and reference material with no executable files or install scripts inspected, but the runtime instructions reference helper scripts outside the packaged artifact via CLAUDE_PLUGIN_ROOT.
Instruction Scope
The activation scope is broadly adjacent to content ideation, and the artifact conflicts with itself by excluding competitor-relative coverage gaps while including competitor-ranking and competitor-gap examples.
Persistence & Privilege
The skill explicitly promotes keyword priorities, competitor facts, pending decisions, and reports into memory paths without a confirmation boundary, while distribution-manifest.json declares inline-delivery and canonical-state-read only.
Purpose & Capability
The stated SEO keyword-research purpose fits the workflow, data sources, clustering, and scoring instructions, but the skill also documents shell command helpers with user-supplied keyword placeholders and persistent memory writes that are higher-impact than the declared lite capabilities.
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
v19.0.0
- Major cleanup and simplification of skill documentation.
- Removed deprecated and duplicate reference materials and example files.
- Added distribution-manifest.json for improved packaging.
- Updated metadata and version number to 19.0.0.
- No changes to core functionality or usage instructions.
v18.0.0
- Major structural update: new version 18.0.0 reorganizes internal references and supporting materials.
- Added new detailed reference files: instructions-detail, example-report, keyword-intent-taxonomy, keyword-prioritization-framework, and topic-cluster-templates.
- Updated SKILL.md metadata for more precise workflow phase and tagging.
- Removed obsolete skill-card.md file.
- Reference links and documentation navigation improved for richer guidance and clearer instructions.
v17.0.0
- Version bump to 17.0.0 with corresponding metadata update.
- Minor documentation update: version numbers in metadata updated to 17.0.0.
- Removed the file: skill-card.md.
- No changes to core instructions or workflow.
v16.0.0
- Version bumped to 16.0.0.
- Metadata fields (version) updated from 14.0.0 to 16.0.0.
- No functional or instructional changes to behavior, workflow, or user flow.
- All instructions, features, and usage remain unchanged from previous version.
v14.0.0
- Updated skill version to 14.0.0.
- Changed slug from "aaron-keyword-research" to "keyword-research".
- Removed the file skill-card.md.
- Updated metadata version and aligned metadata fields with new version.
- No functional changes to workflow or user instructions.
v13.0.0
Version 13.0.0
- Updated to version 13.0.0; metadata version tracking updated.
- Removed the obsolete skill-card.md file.
- No changes to instructions, workflow, or feature set in SKILL.md (content remains the same except for version bump).
- Maintains full compatibility and usage guidance as in previous versions.
v12.7.0
**Major update: Adds richer data sourcing options, emphasizes measured/estimated data, and clarifies workflow.**
- Adds detailed guidance for keyless/local data sources (Autocomplete, Firecrawl SERP sampling, Wikipedia pageviews, GSC striking distance).
- Clarifies that metrics must be labeled as Measured, User-provided, or Estimated—never invent or mislabel data.
- Introduces "Impact × Confidence" priority scoring as an optional advanced layer atop standard opportunity scoring.
- Updates skill metadata, compatibility, file paths, and removes deprecated/duplicated references.
- Removes the redundant skill-card.md file.
- Improves references and example links; streamlines instructions and output requirements.
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
元数据
常见问题
Keyword Research 是什么？
Use when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 8988 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 v19.0.0。
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