Email, calendars, task management, and automation (7.9K skills)
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.
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.
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.
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.
Find past discussions across existing screenpipe, Codex, Claude, Cursor, and Gemini CLI chats by title, workspace, or message text. With explicit authorization, send follow-up work to a specific supported chat; Gemini CLI supports search only.
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.
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.
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.
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.
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.
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.
Get a second opinion on your current task from another AI agent. The skill selects a suitable advisor, provides the context, and summarizes its reasoned recommendation so you can assess design choices, reviews, or investigations without file changes.
Get help setting up, configuring, and troubleshooting Paseo using current public documentation. Identify the affected host and connection method, then use relevant diagnostics to investigate provider, version, workspace, or connectivity problems.
Turn a brief idea into a task brief an AI agent can execute independently. Ground it in investigation, define scope and acceptance checks, and include progress tracking and recovery instructions in a brief ready for `/goal`.
Analyze disk usage on macOS or Windows, identify large folders, and classify cleanup candidates by the care they need. Generate an interactive HTML report with estimated space savings, cleanup guidance, and optional browser controls for deleting selected files.
Manage long-running goals in Kortix with recorded success criteria, tasks, deadlines, and evidence. Daily reminders resume progress, follow-ups address missing inputs, worker sessions handle assigned tasks, and an independent verifier checks the evidence before completion.
Coordinate people and agent sessions through named project chat rooms in Kortix. Ask questions, reply in threads, receive notifications when another session finishes its turn, and agree on access to shared resources such as development environments or databases.
Keeps work preferences, corrections, and ongoing goals in a personal Kortix folder so agents can refer to them across sessions. Users can inspect, edit, or delete the saved Markdown files and request specific details be forgotten.
Manage a Kortix project from the terminal: start and monitor agent sessions, store secrets, open change requests for review, and call connected services. The skill points agents to the current command reference for detailed operations.
Present travel plans, product choices, and numerical data directly in Kortix chat using photo-based steps, cards, maps, tables, and charts. The skill selects a visual format suited to each part of the answer.
Find information you previously saw on screen and reconstruct past work from locally recorded screenshots, recognized text, and app usage. Summarize research, measure recorded screen time, and provide references that reopen the relevant moments.
Guide file storage and context retention in Kortix shared folders. Identify accessible folders, save lasting outputs, keep user and team notes across sessions, and handle conflicting file copies according to the documented sharing and synchronization rules.
Turn a meeting transcript into structured notes and one Linear ticket per action item. Assign owners from the discussion or the team’s ownership map, and flag unclear assignments in unassigned tickets for follow-up.
Collect weekly snack requests from Slack, combine duplicate items with standing staples, and prepare a vendor cart within budget. Share the draft for the office manager's written approval before placing the order.