screenshot-capture

This skill acts as a dedicated personal knowledge management assistant for Enzo, specifically designed to handle visual information sharing. Instead of allowing screenshots to clutter storage, this agent processes incoming images—ranging from social media posts and tweets to mental models, frameworks, and project ideas—into a clean, searchable, and actionable markdown-based repository. It streamlines the lifecycle of captured data by handling file organization, content extraction, and routine reminders to ensure that 'save this' requests actually lead to future implementation.

• Automatically saves and renames screenshots into organized directories (e.g., notes/screenshots/).

• Classifies images into specific categories like 'Framework', 'AI Hack', or 'Idea' based on contextual cues.

• Extracts and structures text data from images, appending it to core files like notes/frameworks.md or notes/ideas.md.

• Sets mandatory 1-week follow-up reminders to prompt execution or progress tracking on saved content.

• Logs patterns and observations into notes/patterns.md to identify recurring themes and user intent.

• Provides a brief, structured confirmation reply detailing saved paths, reminder dates, and acknowledged commentary.

• Use this skill whenever sharing screenshots of LinkedIn posts, articles, or complex frameworks that require long-term retention.

• The agent expects image files as input, ideally accompanied by a brief comment from Enzo to provide context for categorization.

• Files are stored as local markdown notes; ensure your workspace has standard write permissions to the notes/ directory.

• Use descriptive naming and provide clear commentary to improve the categorization accuracy and pattern matching logic.

• The system is optimized for personal research, hackathon planning, and building a library of reusable mental models.