Seek and Analyze Video

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/seek-and-analyze-video

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Description, How It Works, Common Pitfalls, Limitations.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use when analyzing or asking questions about a video from a URL
• Use when searching for videos on TikTok, YouTube, or Instagram by topic, hashtag, or creator
• Use when summarizing meetings, lectures, or webinars from recordings
• Use when building a searchable knowledge base from video content and text memories
• Use when researching social media content trends, influencers, or viral patterns
• Use when analyzing or describing images with AI vision

Operating Table

metadata.json

ORIGIN.md

SKILL.md

SKILL.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: Overview

The skill wraps 21 API commands into workflow-oriented reference guides that agents load on demand. A routing table in SKILL.md maps user intent to the right workflow automatically.

Imported: Description

This skill enables AI agents to search, import, and analyze video content using Memories.ai's Large Visual Memory Model (LVMM). Unlike one-shot video analysis tools, it provides persistent video intelligence -- videos are indexed once and can be queried repeatedly across sessions. Supports social media import (TikTok, YouTube, Instagram), meeting summarization, knowledge base building, and cross-video Q&A via Memory Augmented Generation (MAG).

Examples

Example 1: Ask for the upstream workflow directly

Use @seek-and-analyze-video to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @seek-and-analyze-video against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @seek-and-analyze-video for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @seek-and-analyze-video using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Imported Usage Notes

Imported: Examples

Example 1: Video Q&A

User: "What are the key arguments in this video? https://youtube.com/watch?v=abc123"
Agent: uploads video -> waits for processing -> uses chat_video to ask questions -> presents structured summary

Example 2: Social Media Research

User: "What's trending on TikTok about sustainable fashion?"
Agent: uses search_public to find trending videos -> imports top results -> analyzes content patterns

Example 3: Meeting Notes

User: "Summarize this meeting recording and extract action items"
Agent: uploads recording -> waits -> gets transcript -> uses chat_video for structured summary with action items

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Always wait for video processing to complete before querying
• Use caption_video for quick analysis (no upload needed)
• Use chat_video for deep, multi-turn analysis (requires upload)
• Use search_audio to find specific moments or quotes in a video
• Use memory_add to store important findings for later retrieval
• Keep the imported skill grounded in the upstream repository; do not invent steps that the source material cannot support.
• Prefer the smallest useful set of support files so the workflow stays auditable and fast to review.

Imported Operating Notes

Imported: Best Practices

• Always wait for video processing to complete before querying
• Use caption_video for quick analysis (no upload needed)
• Use chat_video for deep, multi-turn analysis (requires upload)
• Use search_audio to find specific moments or quotes in a video
• Use memory_add to store important findings for later retrieval

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/seek-and-analyze-video

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @00-andruia-consultant-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @10-andruia-skill-smith-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @20-andruia-niche-intelligence-v2

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @2d-games

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/n/a

agents

agents/n/a

assets

assets/n/a

Imported Reference Notes

Imported: How It Works

Step 1: Intent Detection

The agent reads the SKILL.md workflow router and matches the user's request to one of 6 intent categories.

Step 2: Reference Loading

The agent loads the appropriate reference file (e.g., video_qa.md for video questions, social_research.md for social media research).

Step 3: Workflow Execution

The agent follows the step-by-step workflow: upload/import -> wait for processing -> analyze/chat -> present results.

Imported: Common Pitfalls

• Problem: Querying a video before processing completes Solution: Always use the

  wait

  command after upload before any analysis

• Problem: Uploading a video when only a quick caption is needed Solution: Use

  caption_video

  for one-off analysis; only upload for repeated queries

Imported: Limitations

• Video processing takes 1-5 minutes depending on length
• Free tier limited to 100 credits
• Social media import requires public content
• Audio search only works on processed videos