entity-audit
Audit brand entity consistency. Use when: checking Wikidata, Knowledge Panel, or directory discrepancies.
npx skills add indranilbanerjee/digital-marketing-pro --skill entity-audit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /digital-marketing-pro:entity-audit ## Purpose Audit brand entity data consistency across the platforms that AI engines use as knowledge sources. Check Wikidata entries, Google Knowledge Panel accuracy, Wikipedia presence and notability, and industry directory listings for consistency. Inconsistent entity data degrades AI engine trust and visibility — when knowledge sources disagree about basic facts like the official website, founding date, headquarters location, or industry classification, AI engines either omit the brand entirely or present conflicting information. This command provides a systematic, platform-by-platform audit with specific discrepancies flagged and a prioritized fix plan ordered by impact on AI visibility. ## Input Required The user must provide (or will be prompted for): - **Brand/entity name**: The exact name of the brand, organization, person, or product to audit — must match the entity as it should appear in knowledge sources. If the brand has known aliases or former names, include those for cross-referencing - **Entity type**: `Organization`, `Person`, `Product`, or `Brand` — determines which properties are checked and which directory types are relevant.
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python "${CLAUDE_PLUGIN_ROOT}/scripts/geo-tracker.py" \What does the entity-audit skill do?
Audit brand entity consistency. Use when: checking Wikidata, Knowledge Panel, or directory discrepancies.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill entity-audit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.