Email, calendars, task management, and automation (7.9K skills)
Switch PUA's narration to an encouragement-first style in Codex CLI through the equivalent of Claude Code's /pua:yes command. The skill preserves verification requirements and requires command or output evidence before reporting completion.
Clean up stale PUA agent state from Codex CLI using the equivalent of Claude Code's /pua:reap-orphans command. It removes only records confirmed to be orphaned, meaning no longer associated with an active agent, and reports evidence.
Use an English working contract in Trae to address repeated failures or unverified completion. It separates execution, self-review, and acceptance, guiding agents through small checks and delivering results with evidence, residual risks, and confirmation needs.
Guide Trae through stalled tasks by comparing hypotheses, changing approaches after repeated failures, and checking results with relevant commands. It structures delivery around evidence, self-review, and remaining risks rather than unsupported claims of completion.
Generate a PUA KPI and performance report card from Codex CLI. This command alias loads pua-pro and provides a Codex equivalent of the Claude Code /pua:kpi command through $pua-kpi.
Switch PUA commentary to an empathetic, encouraging tone while retaining its underlying work and verification requirements. The skill combines specific praise, practical suggestions, and occasional friendly teasing, with variations for different PUA styles.
Release all active PUA agent and loop state from Codex using the teardown protocol, which governs cleanup. This alias corresponds to `/pua:teardown-all` in Claude Code and explains destructive cleanup before deleting files.
Lets Codex CLI users choose and configure a PUA narration style through a dedicated command alias. It consults the style reference, preserves unrelated configuration fields, and requires command output as evidence of completed changes.
Guide an AI agent through repeated failures, passive behavior, or unverified completion with strict Japanese coaching. It structures investigation, encourages different approaches, and requires evidence before reporting work as complete.
Inspect Mac performance to find processes using excessive CPU, GPU, memory, or energy. Combine measurements with explanations of known system processes to diagnose slowness, heat, and startup load, then recommend actions without changing system settings.
Reduce oversized LifeOS instruction files while preserving distinct rules. Remove obsolete entries first, then propose approved merges, shorter wording, or relocation to reference files, with size measurements and reversible commits documenting the changes.
Install LifeOS into an existing AI agent environment, then use a guided interview to capture current circumstances and goals for the Pulse dashboard. The skill also handles installation checks, updates, and removal.
Import existing notes and agent instructions into LifeOS by splitting content into sections and proposing destinations. Review uncertain classifications, approve selected groups, and retain source information alongside the imported material.
Build and maintain a public profile from LifeOS goals, projects, ideas, and work themes. Rule-based filters remove sensitive details, while preview and approval workflows let you review changes before deploying the profile site.
Improve writing, prompts, or skills through repeated review cycles that carry forward lessons and rejected approaches. Human feedback guides each pass by default, while saved history supports resuming work and tracking progress.
Analyze recent work history and recurring frustration to identify problems that existing skills or workflows do not address. Receive a ranked shortlist of new skill ideas, with supporting evidence, for deciding what to build next.
Organize knowledge notes with links that explain their relationships, search saved information, review conflicting claims, and prepare weekly digests. Retrieve earlier work sessions and conversations by topic or date to recover context before continuing a task.
Review stored LifeOS goals and personal context against available records such as sleep, app usage, work, and expenses. The skill prioritizes stale information and contradictions, proposes corrections for approval, and reviews the gap between current and ideal states.
Guide remote Windows app control using UI Automation, which identifies controls by names and roles. Covers text entry, buttons, window management, screenshot checks, and handling desktop session problems when the connected backend supports these features.
Operate Agent Zero's built-in Linux desktop to work with LibreOffice, files, and terminal apps. The skill guides visual layout checks, live spreadsheet edits, and saved-result verification within the internal desktop environment.
Set up one-time reminders and recurring tasks, then inspect, edit, delete, or run saved tasks on request. Supports specific execution dates, time zones, and cron-style schedules that define recurring times.
Guide desktop actions on a connected Linux computer using accessibility information that identifies buttons and fields. It covers checking keyboard focus, verifying results with screenshots, and handling limitations in XWayland apps and remote desktop viewers.
Create reusable slash commands for Agent Zero using YAML configuration files paired with text templates or Python scripts. It helps choose project or global scope, update existing commands, and report the saved files and exact command to invoke.
Inspect and control the connected local computer through A0 CLI or a Launcher host gateway. The skill guides screenshots, native app input, window targeting, and checking results, with background actions where the connected system supports them.