Keyword search volume checker workflow: decide what to write next
A practical workflow for checking keyword search volume, difficulty, CPC, and intent before turning a keyword list into a content brief.
Notes from building Agent First public-data Skills
Skills, MCP patterns, KOL pricing, public-data economics, and lessons from the live platforms that agents call.
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These posts focus on repeatable tasks: Reddit research, creator discovery, social monitoring, enrichment, and the small decisions that make an agent answer useful instead of vague. Each cookbook connects a plain-language prompt to the UnifAPI operations that provide evidence, then explains how to shape the output so the workflow can be rerun, inspected, and moved into production later.
This category currently includes 15 posts. New entries are written for readers who want concrete implementation detail, clear tradeoffs, and copyable patterns for agent workflows.
A practical workflow for checking keyword search volume, difficulty, CPC, and intent before turning a keyword list into a content brief.
How to use a Twitter profile viewer for creator vetting, competitor research, and account benchmarks without logging into the target account.
How UnifAPI combines live SEO records, GEO answer visibility, and rendered Browser reads into one evidence stack for marketing Agents.
A practical architecture guide for public-data Skills: agent client, MCP runtime, unified data layer, observability, cost controls, and failure boundaries.
Build a working Reddit research Skill in one MCP prompt: inspect feeds, fetch top comments and summarize, from any MCP-capable agent.
Use public TikTok, Instagram and YouTube records in creator-research and social-listening Skills — through MCP first, HTTP when you productize.