Fetch Readwise activity data across date ranges and output analysis modes.
npx skills add https://github.com/otrebu/agents --skill readwise-api
Please help me install this Agent Skill. Skill: readwise-api Source: https://github.com/otrebu/agents/tree/main/plugins/knowledge-work/skills/readwise-api Command: npx skills add https://github.com/otrebu/agents --skill readwise-api
Connects to Readwise v2/v3 APIs to fetch highlights, articles, and activity for customizable date ranges, then analyzes and presents results.
Set READWISE_API_TOKEN in the environment and run: pnpm tsx scripts/fetch-todays-activity.ts all
High-intent search queries and answers about installing and using this skill.
This Skill fetches Readwise highlights and activity data using the v2 Highlights API and v3 Reader API for any date range—presets like today, yesterday, last week, last month, or custom start and end dates. Set READWISE_API_TOKEN in your environment and run `pnpm tsx scripts/fetch-todays-activity.ts all` to retrieve structured results.
The Skill produces four analysis modes: key learnings, activity timeline, category breakdown, and stats dashboard. Legacy modes also export articles, highlights, and top-highlighted items separately, all formatted as structured results ready for downstream analysis and RAG pipelines.
Yes. The Skill generates by-category breakdowns and activity timelines within flexible date ranges. You can use date presets or define custom ranges, and results are organized to support both categorical and temporal analysis of your reading activity.
You need a READWISE_API_TOKEN set as an environment variable, Node.js with pnpm package manager, and TypeScript tooling via tsx. The Skill handles pagination and enforces 3-second rate-limit delays automatically when querying the Readwise v2 and v3 APIs.
Yes. The Skill includes a legacy mode that exports top-highlighted items separately from the standard modes. Run the fetch script and select the appropriate output mode to isolate your most-annotated content.
The Skill implements automatic 3-second delays between API calls to respect Readwise rate limits and manages pagination internally. Results are transformed into internal types and emitted as batched structured output suitable for large-scale analysis.
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