Agent skill · Content & Marketing

search-knowledge

Search stored brand knowledge. Use when: recalling past learnings, voice guidelines, or competitor insights via semantic search.

indranilbanerjeegithub.com/indranilbanerjeeGitHub ↗
claude-codecopilotcursorcodexMIT
Install
npx skills add indranilbanerjee/digital-marketing-pro --skill search-knowledge --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/search-knowledge/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 700
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# /digital-marketing-pro:search-knowledge ## Purpose Semantic search across all stored brand knowledge in the vector database and knowledge graph. Answers questions like "What worked for email in Q4?", "What are our brand voice guidelines?", "Show me learnings about audience X", or "What did we learn about competitor Y's pricing?" Returns relevant entries ranked by similarity with full provenance context, so agents and users can make decisions informed by everything the brand has ever learned — not just what they remember from the current session. Searches all connected memory layers simultaneously: vector DB for semantic similarity, knowledge graph for entity relationships, and local index for un-synced recent entries. ## Input Required The user must provide (or will be prompted for): - **Search query**: Natural language question or topic — e.g., "What email subject line patterns drove the highest open rates?", "What are our compliance restrictions for the EU market?", "Show me everything we know about competitor X", or "What campaign strategies worked for audience millennials in Q4?" The query is embedded and matched semantically, so exact wording does not need to match stored co

What's inside
Steps it walks through
  1. Purpose
  2. Input Required
  3. Process
  4. Output
  5. Agents Used
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About this skill
What does the search-knowledge skill do?

Search stored brand knowledge. Use when: recalling past learnings, voice guidelines, or competitor insights via semantic search.

How do I install it?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill search-knowledge --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.

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