Personal Productivity Suite

    by mochalatte

    1

    A three-layer productivity suite for AI executive assistance, skill library management, and multi-skill orchestration.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Add the skill at ./dev-tools/linter under the 'dev' group and then run a workflow: use 'dev-linter' on /src followed by 'report-gen' to save the summary to audit.md.

    Your agent does

    Skill 'linter' successfully added to ~/.claude/skills/dev/.

    Workflow initiated:

    1. dev-linter: Identified 12 style issues in /src.
    2. report-gen: Summary generated. Output saved to audit.md. Task complete.

    What you get

    Chain multiple specialized skills into a single automated pipeline.Organize and version-control a local library of AI skills via Git.Manage schedules, tasks, and habits through an AI executive assistant.Aggregate data from various research tools into consolidated markdown reports.

    About this skill

    The problem

    Managing an AI assistant usually involves manual prompt editing, fragmented task lists, and a lack of coordination between specialized skills. Developers struggle to maintain a consistent library of tools and struggle to chain them together for complex workflows.

    What it does

    • Manages personal tasks, schedules, and habit tracking through a dedicated executive assistant layer.
    • Organizes local skill libraries using a standardized group-skillname folder structure with Git synchronization.
    • Orchestrates multi-skill workflows, allowing linear, parallel, or conditional chaining of specialized tools.
    • Handles dependency management by passing outputs from one skill as inputs to the next in an automated sequence.
    • Automates skill library maintenance, including adding, updating, and version-tracking tools without manual file editing.

    Why this beats prompting it yourself

    Relying on standalone prompts requires you to manually manage context and transfer data between different AI tasks. This suite provides a structural framework that treats skills as modular assets and workflows as reproducible pipelines, saving time on repetitive configuration.

    Use cases

    • Coordinate multi-tool security audits by chaining recon, scanning, and reporting skills.
    • Manage professional life by combining schedule conflict detection with meeting preparation briefs.
    • Maintain a version-controlled team library of internal tools using Git-based skill synchronization.
    • Automate market research by aggregating data from multiple social analysis and competitor research tools.

    Known limitations

    Optimized for English responses. Operates strictly in local environments. Schedule management requires manual integration for external calendar sync. Single-user focus.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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