Classify unstructured notes into actionable items with routing proposals.
npx skills add https://github.com/FrogAi/Xenopus --skill brain-dump
Please help me install this Agent Skill. Skill: brain-dump Source: https://github.com/FrogAi/Xenopus/tree/main/Gemini/Skills/Gemini%203.1%20Pro/brain-dump Command: npx skills add https://github.com/FrogAi/Xenopus --skill brain-dump
Unstructured notes and meetings produce raw input that is hard to act on. This Skill captures user-provided dumps, preserves voice and order, and automatically classifies each sentence into buckets like action-items, questions, decisions, ideas, observations, reminders, risks, blockers, commitments, and gratitude, then proposes routing options. It enforces explicit user approval before any external item is created and stores a vetted, auditable draft locally.
Paste or type your brain-dump after invoking the command to activate brain-dump mode, and I will classify items and propose routes for review.
High-intent search queries and answers about installing and using this skill.
To classify unstructured meeting notes and brain-dumps, paste the raw input to trigger an automated capture and classification pipeline that tags each sentence with categories like action-items, risks, or decisions. The system preserves original voice and order, outputting a structured list with confidence scores and routing proposals.
Yes, you can route classified notes to Jira, GitHub, calendar events, or local notes. The system proposes routing destinations for each classified item but enforces explicit user approval before any external item is actually created in those destinations.
The best way to turn freeform text into prioritized tasks is to use an automated brain-dump processor that captures multi-paragraph input, classifies items by type, and proposes routes to destinations like Jira or GitHub. It outputs a vetted, auditable draft locally for review before handoff.
Yes, the note classification pipeline supports both per-item and batched approvals before creating external tasks. This ensures you can review routing proposals for items like commitments and reminders, explicitly approving them before they are pushed to external destinations.
Crisis-language detection and secret-shape scanning work as initial phases in the classification pipeline, analyzing raw brain-dumps for sensitive content before routing. This preprocessing identifies urgent language and secret patterns to prevent inappropriate external routing and ensure safe local drafting.
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FrogAiQuery Jira, GitHub, Slack, and calendar to rank top work items.
Devvraj10Automate email drafting, calendar scheduling, and task tracking.
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