34 个（screenpipe 的仓库） · 按人气排序
Add or modify Tauri commands in the screenpipe desktop app and regenerate TypeScript bindings, the code connecting frontend calls to Rust handlers. Follow the required annotations and checks to keep both sides consistent.
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Find past decisions, documents, and conversations in Screenpipe recordings. Get an answer with timestamps and available source links, with clear distinctions between recorded evidence, inference, and gaps in coverage.
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Review recorded activity over a chosen period to understand sustained work and app switching. Get one evidence-based pattern and one small experiment for the next day, with uncertainty stated and no invented productivity scores.
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Find repeated tasks in recorded activity or starred examples, then describe their steps, exceptions, and human decisions. Assess a small automation candidate using captured evidence, available tools, permissions, and clear completion criteria.
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Reconstruct an incident timeline from recorded screens and conversations, supported by available logs and monitoring. Organize symptoms, changes, response actions, and recovery evidence while distinguishing observed facts from suspected causes.
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Operate Screenpipe from the terminal to set up continuous recording, check capture health, and search local history. Manage Pipes, scheduled AI automations, and configure and test connections to external services.
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Review a specific meeting’s notes and transcript to summarize decisions, commitments, named owners, and stated deadlines. Keep proposals and completed work separate, flag recording gaps, and draft a concise follow-up message when requested.
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Trace a decision through recorded discussions and later revisions. Build a dated account of proposals, confirmed choices, rejected alternatives, and remaining questions, keeping suggestions separate from final decisions and showing disagreements between sources.
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Create and manage scheduled AI automations in screenpipe from the command line. Enable or disable jobs, test runs, inspect logs, and configure service connections such as Telegram and Slack, including connection status checks.
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Retrieve and analyze Screenpipe recording engine and desktop app logs to investigate errors or events at a specific time. Get timestamped findings, recurring error patterns, possible causes, suggested fixes, and indications of service status.
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Turn verified corrections and repeated workflows into reusable local methods. Check existing skills first, then capture when to use a method, its steps, how to validate results, and when to stop.
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Review selected meeting and conversation history to identify explicit promises and deadlines, then check later evidence to distinguish open, completed, superseded, and uncertain commitments while keeping tentative ideas separate.
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Check Screenpipe's process, API, screen capture, and audio transcription status. Inspect logs, storage, resource usage, and processing metrics to identify problems, then report the findings with relevant errors and suggested fixes.
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Edit Screenpipe walkthrough videos built from screenshots and narration while preserving the original procedure. Adjust wording, titles, pacing, and visual focus, then render an updated video when requested.
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Prepare a project handoff using recent work records and checks of current materials. Give the recipient a verified status, accessible artifact locations, blockers, and concrete next steps, while distinguishing delivered work from drafts and intentions.
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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.
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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.
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Turn recorded or starred procedures into reusable guides based on captured evidence. Organize prerequisites, steps, expected results, branches, and final checks, while clearly marking missing details and removing private information from examples.
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Draft a project status report against stated milestones using recent Screenpipe activity and verified outcomes. Separate work performed from delivered and accepted results, summarize blockers and next actions, and cite dated sources with verification limits.
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Search team activity in Screenpipe Enterprise and review records by device and time. Preview, deploy, and schedule managed Pipes, which are AI automations, with explicit targets and checks before changes.
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Resume interrupted work by reviewing recent Screenpipe activity and checking the current state of relevant files, jobs, or services. Recover the last verified result, identify unfinished steps, and avoid repeating actions that may already have completed.
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Analyze a single discovery interview to understand actual behavior, needs, workarounds, and open questions. Receive a concise account tied to sources, separating participant actions from hypothetical intentions, interviewer suggestions, and interpretation.
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Investigate and maintain documented workflows using Screenpipe evidence and shared drafts. Review whether recorded actions support each procedure, preserve verified steps, and add timing measurements only when clear start and end evidence is available.
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Find facts, relevant examples, and prior wording in work history to support a writing draft. Use source evidence to separate completed work from plans and opinions, verify quotations, and remove sensitive details from public drafts unless disclosure is authorized.
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