Video Frame Digesting & Temporal Memory Skill (video-ingest)

This skill provides step-by-step guidance, best practices, and operational patterns for digesting WebM, MP4, and GIF video recordings using @putervision/vision-memory-mcp.

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1. When to Use Video Ingestion

Use video ingestion whenever you encounter:

• E2E Playwright / Cypress / Selenium Test Artifacts: Recorded .webm screenchunks or .mp4 test run videos.
• Bug Reproduction Videos: User-uploaded screen recordings demonstrating UI glitches or crashes.
• UI Walkthrough Recordings: Demonstrations of complex multi-step user workflows.
• Visual Regression Diagnostics: Comparing a passing baseline video run against a failing test run.

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2. Ingestion Strategies & Parameter Tuning

Scenario	Recommended Parameters	Why
Action Event Timestamps (Highest Precision)	action_timestamps: [1.2, 3.5, 7.0]	Samples keyframes at exact interaction timestamps (clicks, types, navigation events) from test runners or state-memory logs.
Dynamic UI / Animations	scene_threshold: 0.3, fps: 1	Combines scene-change detection (gt(scene,0.3)) with 1 fps background sampling to capture major screen transitions without frame bloat.
High-Speed Test Runs	fps: 2 or fps: 5	Increases frame rate sampling for rapidly switching UI test steps.
Long Screen Recordings	fps: 0.5, scene_threshold: 0.4	Lowers sampling rate to conserve storage while extracting unique keyframe states.

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3. Mandatory Dual-MCP Evidence Workflow

When diagnosing bugs or linking test runs to task nodes:

1. Ingest Video: Call manage_video (action: "ingest") with file path and action timestamps.
2. Extract Evidence Payload: Read the returned evidence_payload containing source_video_id, frame_range, and timestamps_ms.
3. Build Evidence Pack: Call create_evidence_pack linking keyframe_state_ids with state-memory-mcp task or blocker node IDs.
4. Compare Trajectories (On Failure): Call compare_states(video_a_id: "...", video_b_id: "...") to pinpoint exact frame divergence points.

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4. CLI Quick Reference

# Ingest WebM / MP4 video recording with custom category
vision-memory-mcp video ingest ./recording.webm --category e2e_test

# Ingest with explicit action timestamps
vision-memory-mcp video ingest ./bug.mp4 --category bug_repro --action-timestamps 1.2,3.5,8.0

# Inspect chronological timeline & keyframes for a video ID
vision-memory-mcp video inspect vid_d7fc21c0ad52f861

# List all ingested video memory records
vision-memory-mcp video list

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5. Consolidated Video MCP Tools Reference

• manage_video (action: "ingest"): Ingests video file/base64, extracts keyframes, dHash deduplicates, and generates CLIP vector embeddings.
• manage_video (action: "timeline"): Fetches step-by-step keyframes, exact timestamps (timestamp_ms), OCR snippets, and grounded target handles.
• manage_video (action: "search"): Searches video memory by description query, category, tags, or file path.
• compare_states (video_a_id, video_b_id): Calculates similarity score between two recordings and pinpoints exact timestamp divergence.
• create_evidence_pack: Produces an immutable, cryptographically hashable evidence pack payload linking keyframes to task graph nodes.