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Poll Screenpipe for recent screen content and extract learning signals. Use when checking what the user has been doing on screen.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Connect a notification channel (Slack, Gmail, etc.) so Cognition can send you learning exercises throughout the day — even when your laptop is off.
Schedule learning exercises for the next 24 hours via Slack/Gmail. Runs at the end of every session so exercises arrive even when Claude Code is closed. The API decides WHEN and WHAT technique — you build the exercise and schedule delivery.
Send screen observations to the Cognition API as learning events. Transforms Screenpipe data into API event format.
Launch the Cognition GUI app. Opens the Electron window and connects Claude Code to it via WebSocket. Use this after /cognition:start or whenever you need the GUI.
Generate and deliver a learning exercise based on what the user is forgetting. Orchestrates different learning techniques.
Test if the user's confidence matches their actual knowledge. Use when calibration ECE is high or strategy is "overconfident".
| name | observe |
| description | Poll Screenpipe for recent screen content and extract learning signals. Use when checking what the user has been doing on screen. |
| user-invocable | false |
Use Screenpipe MCP tools to capture what the user has been doing.
Search recent screen content using the screenpipe search-content tool:
content_type: "ocr"start_time: last known observation time (or last 15 minutes if first run)limit: 20Filter for learning-relevant content:
Group by context:
Extract key information for each observation:
text_spans: the relevant text contentapp_context: the app name (map to: Browser, VSCode, PDFViewer, GoogleDocs, Other)viewport_coverage_ratio: estimate based on content length (0.0-1.0)timestamp_ms: from screenpipe timestampReturn the observations as structured data ready for ingestion via the /cognition:ingest flow.
Return a summary like:
Observed 5 learning events in the last 15 minutes:
1. [Browser] Reading about React hooks (3 text spans, ~45s)
2. [VSCode] Editing auth middleware (2 text spans, ~120s)
3. [Browser] Stack Overflow: "useEffect cleanup" (1 text span, ~20s)
Then proceed to ingest these events.