aget-capture-observation

Capture research observations by categorizing signals like vocabulary terms, research questions, and web findings into the AGET knowledge base on the fly. It appends to existing session files or creates timestamped notes, preserving data without committing specs.

Organize vocabulary candidates and research questions using autonomous or time-budget capture modes that tag signals by type. This ensures traceability and aligns with wind-down processes before appending findings to session files.

Time-budget mode balances capture depth by limiting observation recording to a set duration. It categorizes patterns and gaps into session files or scratch notes, ensuring efficient knowledge base updates without extending the session indefinitely.

Yes, YAML frontmatter containing name and description fields is required to record web findings and patterns. This frontmatter ensures traceability when the Skill appends observations to existing session files or creates new timestamped notes.

Yes, you can append new observations to an existing session file. The Skill detects existing session files and appends categorized signals directly, or it creates new timestamped notes when no matching session file is found.

Avoid autonomous mode when your session has strict time constraints. In these cases, time-budget mode is preferable for capturing vocabulary candidates and findings, as it limits capture depth to fit the available session duration.