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skill-discovery-seo

Improve a skill package so AI agents can find, select, and trust it across registries and ecosystems, including Codex, Claude-style agents, OpenClaw, and other skill-based tools. Use when creating, renaming, packaging, publishing, or refining a skill; writing metadata, names, descriptions, tags, listings, or example prompts; or trying to improve skill discoverability, skill SEO, trigger accuracy, semantic matching, and install or selection confidence.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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skill-discovery-seo

# Skill Discovery SEO ## Overview Improve a skill's discoverability for both humans and AI agents. Focus on triggerable names, dense metadata, realistic example prompts, clear scope, and packaging decisions that help registries and meta-skills choose the right skill reliably. Load [references/discoverability-guide.md](references/discoverability-guide.md) before rewriting metadata or publish copy. ## Workflow ### 1. Identify the discovery surface Check which fields the registry or agent ecosystem will likely index: - skill `name` - frontmatter `description` - `display_name` - short description - default prompt - tags or categories - example prompts - listing copy or repository summary If the platform is unknown, assume most systems use a mix of exact text match, semantic retrieval, and usage or trust signals. ### 2. Tighten the trigger language Rewrite the discovery fields so they answer four questions fast: - what domain is this for - what job does it do - what inputs does it accept - what output or decision does it produce Prefer literal wording over branding, slogans, or clever titles. ### 3. Expand query coverage without bloating Include the main phrases a user or agent would search for: - primary nouns such as platform, artifact, or file type - major verbs such as review, check, create, revise, deploy, or analyze - important synonyms such as policy and compliance, or caption and script - edge-case phrases only if the skill truly handles them Do not keyword-stuff. Add only terms that improve routing accuracy. ### 4. Check trust and scope Make sure the skill: - has a narrow, believable scope - states boundaries clearly - promises outputs it can actually deliver - avoids agent-specific assumptions unless truly required If the skill claims too much, narrow it until another agent could select it confidently. ### 5. Produce a publish-ready pack Return: - recommended skill name - frontmatter description - `display_name` - short description - default prompt - optional tags - 3 to 8 realistic example prompts - one short note on what not to claim in the listing ## Output Rules - Keep names literal, ASCII-safe, and easy to type. - Put the highest-signal trigger terms early in the description. - Match the wording users would naturally use, not internal jargon. - Keep agent-specific wording out of general-purpose skills unless the skill is actually tied to one ecosystem. - Prefer one strong promise over many weak ones.

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 skill-discovery-seo-1776122591 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 skill-discovery-seo-1776122591 技能

通过命令行安装

skillhub install skill-discovery-seo-1776122591

下载 Zip 包

⬇ 下载 skill-discovery-seo v1.0.0

文件大小: 4.2 KB | 发布时间: 2026-4-14 11:39

v1.0.0 最新 2026-4-14 11:39
Skill Discovery SEO is a packaging and metadata optimization skill for agent-facing skills. It helps
improve discoverability across registries and ecosystems by tightening skill names, frontmatter
descriptions, display names, short descriptions, default prompts, tags, and example prompts.

Use it when you are publishing a new skill, renaming an existing one, refining trigger language, or
trying to improve how meta-agents and search systems retrieve and trust a skill. It is designed for
practical skill SEO: clearer names, stronger query coverage, better semantic matching, and tighter scope.
It does not try to broaden a skill artificially. Instead, it makes the skill easier to route correctly by
humans and agents.

This skill is useful for creators publishing skills to ecosystems like ClawHub, Codex-style registries,
OpenClaw, Claude-oriented agent systems, and other skill-based platforms.

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