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Install in OpenClaw
/install meta-tags-optimizer
Description
Optimize title tags, meta descriptions, Open Graph, Twitter cards for maximum CTR with A/B variations. 标题优化/元描述/CTR
Usage Guidance
This skill appears to do exactly what it says: generate optimized meta tags and social tag HTML. Before installing, confirm how your agent handles 'memory/*' writes (will these saved files be visible to other skills or exported?), and be deliberate about enabling any optional connectors (Search Console, SEO tools) — those require separate credentials and will enable external data pulls. Do not paste sensitive credentials or private content into prompts if you do not want them saved to agent memory. If you rely on automatic CTR/competitor pulls, verify which connector implementations will be used and review their required credentials and privacy policies.
Capability Analysis
Type: OpenClaw Skill
Name: meta-tags-optimizer
Version: 9.9.5
The meta-tags-optimizer skill is a comprehensive SEO tool designed for AI agents to generate and optimize website metadata, including title tags, meta descriptions, and social media tags. It contains structured instructions (SKILL.md), HTML templates (meta-tag-code-templates.md), and SEO benchmarks (meta-tag-formulas.md) focused on improving click-through rates. The skill utilizes a local memory management system (e.g., memory/hot-cache.md) to store results and maintain state, which is standard for OpenClaw agents, and shows no signs of malicious intent, data exfiltration, or harmful prompt injections.
Capability Assessment
Purpose & Capability
The name/description match the runtime instructions and reference materials: all steps, templates, and output targets are about title tags, meta descriptions, Open Graph/Twitter cards, CTR tips, and A/B recommendations. No unrelated capabilities (cloud access, system administration, or secret handling) are requested.
Instruction Scope
The SKILL.md instructs the agent to read optional repo/state documents when available and to write deliverables and summaries to agent memory paths (memory/content/, memory/hot-cache.md, memory/decisions.md, memory/open-loops.md). Those reads/writes are coherent with a content-generation skill but are worth noting: the skill will persist outputs to the agent's memory and will try to pull CTR/competitor data automatically only if connectors are configured.
Install Mechanism
No install spec or code files are present; this is instruction-only. That minimizes on-disk persistence and arbitrary code execution risk.
Credentials
The skill declares no required environment variables or credentials. It mentions optional Search Console/SEO tool connectors for automatic CTR/competitor pulls — those are optional and would require credentials if enabled, but they are not demanded by the skill itself.
Persistence & Privilege
The skill writes outputs into agent memory on user confirmation and promotes findings to memory caches. This is expected for a content/hand-off skill. It is not marked always:true, and it does not request elevated or cross-skill configuration changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install meta-tags-optimizer - After installation, invoke the skill by name or use
/meta-tags-optimizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v9.9.5
Published from main @ 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, 8-agent reviewed
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 meta-tags-optimizer
- Added two new reference files: ctr-and-social-reference.md and meta-tag-code-templates.md.
- Expanded documentation in SKILL.md with updated compatibility info and step-by-step meta tag optimization instructions.
- Improved tag list and trigger keywords for broader skill invocation.
- Documentation now explicitly includes Twitter Card and Open Graph tag instructions.
- General reorganization and modernization of metadata and usage examples.
v2.0.0
Meta Tags Optimizer 2.0.0
- Added autocomplete triggers for meta tag and CTR-related user intents, making it easier to discover and activate the skill.
- Expanded skill metadata: now includes author, license, version, and more granular tags and triggers for improved search and discovery.
- Added navigation links and skill grouping for the full SEO & GEO Skills Library.
- Provided direct references to related skills (on-page-seo-auditor, schema-markup-generator) for broader audits and structured data needs.
- No change to the optimization workflow itself, but documentation is now clearer and more discoverable.
Metadata
Frequently Asked Questions
What is Meta Tags Optimizer?
Optimize title tags, meta descriptions, Open Graph, Twitter cards for maximum CTR with A/B variations. 标题优化/元描述/CTR. It is an AI Agent Skill for Claude Code / OpenClaw, with 2173 downloads so far.
How do I install Meta Tags Optimizer?
Run "/install meta-tags-optimizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Meta Tags Optimizer free?
Yes, Meta Tags Optimizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Meta Tags Optimizer support?
Meta Tags Optimizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Meta Tags Optimizer?
It is built and maintained by Aaron Zhu (@aaron-he-zhu); the current version is v9.9.5.
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