Release Notes

This is the first release of dokobot-intel-toolkit, an automated intelligence-gathering toolkit that scrapes AI and tech trending content from 13 platforms daily. It surfaces monetizable signals for content creators and ships with reusable WorkBuddy Skills for subtitle extraction, slide generation, and growth theory analysis.

New features

Multi-Platform Daily Scraping Engine
Automatically scrapes AI and tech trending content from 13 platforms on a daily cadence. Raw data is collected, cleaned, and normalized into a consistent schema ready for downstream analysis.
Cross-Day Data Comparison
Compares scraped datasets across days to detect trending shifts, emerging topics, and content velocity changes. Enables time-series analysis of what is gaining or losing traction across platforms.
Monetizable Signal Surfacing
Analyzes cleaned cross-platform data to identify high-opportunity content signals — including breakout topics, engagement spikes, and underserved niches — specifically tailored for content creators looking to monetize trends.
WorkBuddy Skill: Subtitle Extraction
A reusable WorkBuddy Skill that extracts subtitles from video or audio content, making transcripts available for further processing, summarization, or indexing.
WorkBuddy Skill: Slide Generation
A reusable WorkBuddy Skill that automatically generates presentation slides from structured content or summarized intelligence data, streamlining content repurposing workflows.
WorkBuddy Skill: Growth Theory
A reusable WorkBuddy Skill that applies growth theory frameworks to surfaced signals, helping content creators evaluate audience-building and monetization strategies based on trending data.