local-seo
Audit and improve local discovery for physical, service-area, and hybrid businesses using location evidence, reputation, local pages, and business profiles.
Skill by luxiaolei
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/luxiaolei-local-seo
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: security, marketing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/local-seo
What's inside
- Skill name
local-seo- Description
- Audit and improve local discovery for physical, service-area, and hybrid businesses using location evidence, reputation, local pages, and business profiles.
- License
- MIT
- Instructions
- 26 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- SKILL.zh-CN.md
SKILL.md (first lines)
# Local SEO Use only when the product/business has a genuine local-service or physical-location component. ## Detect business model Classify as physical location, service-area business, hybrid, or multi-location. This determines which checks are relevant; do not force street-address/map requirements onto legitimate service-area businesses. ## Audit 1. Verify business identity, name/address/phone or service-area facts across visible site content, relevant structured data, and connected business-profile sources. 2. Check primary service/category positioning, hours, contact/directions, local proof, service areas, and location-specific user questions. 3. Review reputation evidence: review volume/recency/themes, owner responses, policy compliance, and whether reviews are represented truthfully on the site. 4. Evaluate location/service pages for genuine local usefulness. Reject doorway pages that merely swap place names while preserving generic content. 5. Check local internal linking, LocalBusiness/Organization schema where truthful, map/directions UX where appropriate, and mobile contact actions. 6. If map-pack or geo-grid data is available from an authorized provider, use it as observed evidence rather than estimating proximity performance. ## Quality and safety Do not manufacture reviews, use review gating, invent addresses, or create location pages for places the business does not actually serve. Industry-specific privacy/professional rules may constrain review responses and claims. ## Output Return business model, identity/reputation consistency findings, profile/site gaps, location-page opportunities, local conversion issues, and prioritized experiments with evidence and geographic scope.
From luxiaolei/AutoSpread, MIT.
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Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.
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Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.
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channel-selection
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Choose a small channel portfolio based on audience behavior, product demonstration fit, intent, economics, and existing evidence.
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customer-research
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geo-optimization
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/luxiaolei/AutoSpread
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from luxiaolei
- 0.567score
autospread
luxiaolei
Growth Lead method for diagnosing the biggest growth constraint, choosing the smallest useful playbook, and operating within an explicit autonomy policy.
SkillAFreshness: AClaude Code +9 - 0.561score
agent-readiness
luxiaolei
Make a website usable by user-triggered AI agents and machine clients without confusing agent operability with GEO ranking.
SkillAFreshness: AClaude Code +9 - 0.561score
paid-acquisition
luxiaolei
Run bounded paid acquisition experiments only when audience, offer, destination, attribution, budget, and stop rules are ready.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-selection
luxiaolei
Choose a small channel portfolio based on audience behavior, product demonstration fit, intent, economics, and existing evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
channel-operations
luxiaolei
Prepare, publish, schedule, and verify approved content through authorized APIs, CLIs, or UI automation while preserving external evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
customer-research
luxiaolei
Research customer problems, alternatives, triggers, objections, and language with traceable evidence that can change product or growth decisions.
SkillAFreshness: AClaude Code +9
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Cite this page
local-seo skill. Agent Mart. https://agentmart.dev/skills/luxiaolei-local-seo (last updated 2026-10-24)