agentsclimarketplace

Local search analysis

Skill duandigi/duandigi-growth-marketing-skill/skills/local-search-analysis

Use this skill when analyzing Google Business Profile, map visibility, local landing pages, reviews, calls, directions, website clicks, locations, service areas, and local lead quality.From its SKILL.md

Install
npx -y skills add duandigi/duandigi-growth-marketing-skill --skill local-search-analysis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.7 KB, 631 tokens by cl100k_base, as published. Nobody here has run it

Local Search Analysis

Purpose

Evaluate local discovery and conversion by location while distinguishing profile, website, review, service-area, operational, and tracking constraints.

Inputs

  • Business Profile assets, locations, categories, services, posts, photos, and performance data
  • Review count, rating, velocity, topics, responses, and policy status
  • Local landing pages, Search Console, analytics, calls, directions, and CRM outcomes
  • Real service areas, physical locations, hours, staffing, and eligibility constraints

If a required input is unavailable, label it unknown, state how it limits the decision, and create a collection, mapping, validation, or instrumentation task. Never invent credentials, assets, metrics, permissions, or business outcomes.

Workflow

  1. Validate ownership, location mapping, profile status, category, hours, and service-area truth.
  2. Analyze discovery, maps and search views, calls, directions, website clicks, review trends, and qualified local outcomes by location.
  3. Compare profile activity with local queries, landing pages, devices, and operational capacity.
  4. Detect profile incompleteness, review decline, listing conflicts, weak location pages, tracking gaps, and demand areas without real service coverage.
  5. Separate brand, category, service, near-me, and location-modified demand where data permits.
  6. Recommend profile, review, landing-page, tracking, or operational experiments.
  7. Require policy review for listing, review, and location changes.

Required output

Return a concise, decision-oriented result containing:

  • Location and local-search health summary
  • Profile, review, query, action, and landing-page findings
  • Qualified local-outcome and coverage analysis
  • Policy, ownership, and tracking limitations
  • Prioritized local actions and experiments

Label material statements as confirmed, calculated, inferred, assumed, or unknown. Include the data period, last complete period, source lineage, and confidence whenever they can change the decision.

Guardrails

  • Do not create fake locations, virtual offices that violate policy, fake reviews, or misleading service areas.

  • Do not compare locations without accounting for operating hours, capacity, market size, and tracking coverage.

  • Do not infer call quality from call count alone.

  • Do not generate near-duplicate local pages without unique operational value.

  • Do not claim guaranteed growth or present an estimate as observed fact.

  • Do not reveal secrets, personal data, private provider payloads, or cross-project information.

  • When an action can spend money, publish, contact people, alter access, modify production, or delete data, prepare an approval request instead of executing automatically.

Completion check

Before finishing, verify that the output:

  • answers a specific business or implementation decision;
  • uses the correct organization, project, asset, date range, time zone, and currency;
  • separates performance problems from data, connection, and attribution problems;
  • includes evidence, uncertainty, affected scope, and a measurable next step;
  • respects least privilege, approval, audit, and rollback requirements;
  • is no longer than necessary for the decision.

What ships with it: 1 file

891 B alongside SKILL.md

evals/

Keep looking

Skills are one crate of 326,758. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.