Turn selected Screenpipe activity into a concise recap for a defined audience. Summarize outcomes from recorded evidence, then review the draft to remove identifying details, private links, sensitive amounts, and unnecessary personal information before sharing.
Create a shareable recap of selected Screenpipe activity while minimizing private details.
Review the instructions the agent will receive before you install.
Confirm the intended audience and range. Summarize outcomes using screenpipe-api evidence, then perform a separate privacy pass. Replace people and organizations with non-identifying role labels. Remove emails, private domains, internal URLs, exact deal amounts, credential-like strings, and identifying quotes. Initials alone may still identify someone. Prefer a concise narrative over raw screenshots or transcript dumps. Do not attach private source links to a public recap. If a detail is unnecessary to understand the result, leave it out. Prepare the recap; publish only when explicitly requested.
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Develop and test Windows-specific Screenpipe changes on a disposable Azure virtual machine. The workflow verifies native behavior, preserves logs and desktop video, and handles branch and pull request delivery when authorized.
Prepare screenpipe component releases by updating versions and dependency lock files, running required build checks, and triggering GitHub Actions. Verify build results and release artifacts, then hand public app publication over to a person.
Create charts, dashboards, scorecards, and styled summaries as standalone HTML reports for the screenpipe viewer. Keep styles, scripts, and images inside the file so the report renders in a sandbox with no network access.
Use Screenpipe’s local REST API, an interface for programmatic requests, to search screen and meeting history, review app activity and active time, retrieve synced-device records, export recordings, and rerun audio transcription.
Search Screenpipe recordings, screen text, audio transcripts, and synced-device history through its local API. Use the evidence to review activity, find meeting details, and inspect saved workflows, including recorded steps that can inform automation.
Turn a recorded software failure into a draft bug report with timestamps, reproduction steps, expected and actual behavior, and relevant evidence. Separate visible symptoms from possible causes and remove sensitive details from shareable evidence.