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Video and audio perception, indexing, and editing. Ingest files/URLs/live streams, build visual/spoken indexes, search with timestamps, edit timelines, add overlays/subtitles, generate media, and create real-time alerts.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/phoroth/AGENTIC --skill videodbコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
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SOC 職業分類に基づく
SKILL.md を表示中
| name | videodb |
| description | Video and audio perception, indexing, and editing. Ingest files/URLs/live streams, build visual/spoken indexes, search with timestamps, edit timelines, add overlays/subtitles, generate media, and create real-time alerts. |
| category | media |
| risk | safe |
| source | community |
| tags | [video, editing, transcription, subtitles, search, streaming, ai-generation, media, live-streams, desktop-capture] |
| date_added | 2026-02-27 |
| allowed-tools | Read Grep Glob Bash(python:*) |
| argument-hint | [task description] |
Perception + memory + actions for video, live streams, and desktop sessions.
Use this skill when you need to:
Before running any VideoDB code, change to the project directory and load enprojectnment variables:
from dotenv import load_dotenv
load_dotenv(".env")
import videodb
conn = videodb.connect()
This reads VIDEO_DB_API_KEY from:
.env file in current directoryIf the key is missing, videodb.connect() raises AuthenticationError automatically.
Do NOT write a script file when a short inline command works.
When writing inline Python (python -c "..."), always use properly formatted code — use semicolons to separate statements and keep it readable. For anything longer than ~3 statements, use a heredoc instead:
python << 'EOF'
from dotenv import load_dotenv
load_dotenv(".env")
import videodb
conn = videodb.connect()
coll = conn.get_collection()
print(f"Videos: {len(coll.get_videos())}")
EOF
When the user asks to "setup videodb" or similar:
pip install "videodb[capture]" python-dotenv
If videodb[capture] fails on Linux, install without the capture extra:
pip install videodb python-dotenv
The user must set VIDEO_DB_API_KEY using either method:
export VIDEO_DB_API_KEY=your-key.env file: Save VIDEO_DB_API_KEY=your-key in the project's .env fileGet a free API key at https://console.videodb.io (50 free uploads, no credit card).
Do NOT read, write, or handle the API key yourself. Always let the user set it.
# URL
video = coll.upload(url="https://example.com/video.mp4")
# YouTube
video = coll.upload(url="https://www.youtube.com/watch?v=VIDEO_ID")
# Local file
video = coll.upload(file_path="/path/to/video.mp4")
# force=True skips the error if the video is already indexed
video.index_spoken_words(force=True)
text = video.get_transcript_text()
stream_url = video.add_subtitle()
from videodb.exceptions import InvalidRequestError
video.index_spoken_words(force=True)
# search() raises InvalidRequestError when no results are found.
# Always wrap in try/except and treat "No results found" as empty.
try:
results = video.search("product demo")
shots = results.get_shots()
stream_url = results.compile()
except InvalidRequestError as e:
if "No results found" in str(e):
shots = []
else:
raise
import re
from videodb import SearchType, IndexType, SceneExtractionType
from videodb.exceptions import InvalidRequestError
# index_scenes() has no force parameter — it raises an error if a scene
# index already exists. Extract the existing index ID from the error.
try:
scene_index_id = video.index_scenes(
extraction_type=SceneExtractionType.shot_based,
prompt="Describe the visual content in this scene.",
)
except Exception as e:
match = re.search(r"id\s+([a-f0-9]+)", str(e))
if match:
scene_index_id = match.group(1)
else:
raise
# Use score_threshold to filter low-relevance noise (recommended: 0.3+)
try:
results = video.search(
query="person writing on a whiteboard",
search_type=SearchType.semantic,
index_type=IndexType.scene,
scene_index_id=scene_index_id,
score_threshold=0.3,
)
shots = results.get_shots()
stream_url = results.compile()
except InvalidRequestError as e:
if "No results found" in str(e):
shots = []
else:
raise
Important: Always validate timestamps before building a timeline:
start must be >= 0 (negative values are silently accepted but produce broken output)start must be < endend must be <= video.lengthfrom videodb.timeline import Timeline
from videodb.asset import VideoAsset, TextAsset, TextStyle
timeline = Timeline(conn)
timeline.add_inline(VideoAsset(asset_id=video.id, start=10, end=30))
timeline.add_overlay(0, TextAsset(text="The End", duration=3, style=TextStyle(fontsize=36)))
stream_url = timeline.generate_stream()
from videodb import TranscodeMode, VideoConfig, AudioConfig
# Change resolution, quality, or aspect ratio server-side
job_id = conn.transcode(
source="https://example.com/video.mp4",
callback_url="https://example.com/webhook",
mode=TranscodeMode.economy,
video_config=VideoConfig(resolution=720, quality=23, aspect_ratio="16:9"),
audio_config=AudioConfig(mute=False),
)
Warning: reframe() is a slow server-side operation. For long videos it can take
several minutes and may time out. Best practices:
start/end when possiblecallback_url for async processingTimeline first, then reframe the shorter resultfrom videodb import ReframeMode
# Always prefer reframing a short segment:
reframed = video.reframe(start=0, end=60, target="vertical", mode=ReframeMode.smart)
# Async reframe for full-length videos (returns None, result via webhook):
video.reframe(target="vertical", callback_url="https://example.com/webhook")
# Presets: "vertical" (9:16), "square" (1:1), "landscape" (16:9)
reframed = video.reframe(start=0, end=60, target="square")
# Custom dimensions
reframed = video.reframe(start=0, end=60, target={"width": 1280, "height": 720})
image = coll.generate_image(
prompt="a sunset over mountains",
aspect_ratio="16:9",
)
from videodb.exceptions import AuthenticationError, InvalidRequestError
try:
conn = videodb.connect()
except AuthenticationError:
print("Check your VIDEO_DB_API_KEY")
try:
video = coll.upload(url="https://example.com/video.mp4")
except InvalidRequestError as e:
print(f"Upload failed: {e}")
| Scenario | Error message | Solution |
|---|---|---|
| Indexing an already-indexed video | Spoken word index for video already exists | Use video.index_spoken_words(force=True) to skip if already indexed |
| Scene index already exists | Scene index with id XXXX already exists | Extract the existing scene_index_id from the error with re.search(r"id\s+([a-f0-9]+)", str(e)) |
| Search finds no matches | InvalidRequestError: No results found | Catch the exception and treat as empty results (shots = []) |
| Reframe times out | Blocks indefinitely on long videos | Use start/end to limit segment, or pass callback_url for async |
| Negative timestamps on Timeline | Silently produces broken stream | Always validate start >= 0 before creating VideoAsset |
generate_video() / create_collection() fails | Operation not allowed or maximum limit | Plan-gated features — inform the user about plan limits |
Reference documentation is in the reference/ directory adjacent to this SKILL.md file. Use the Glob tool to locate it if needed.
Use ws_listener.py to capture WebSocket events during recording sessions. Desktop capture supports macOS only.
python scripts/ws_listener.py &cat /tmp/videodb_ws_id/tmp/videodb_events.jsonlimport json
events = [json.loads(l) for l in open("/tmp/videodb_events.jsonl")]
# Get all transcripts
transcripts = [e["data"]["text"] for e in events if e.get("channel") == "transcript"]
# Get visual descriptions from last 5 minutes
import time
cutoff = time.time() - 300
recent_visual = [e for e in events
if e.get("channel") == "visual_index" and e["unix_ts"] > cutoff]
For complete capture workflow, see reference/capture.md.
Do not use ffmpeg, moviepy, or local encoding tools when VideoDB supports the operation. The following are all handled server-side by VideoDB — trimming, combining clips, overlaying audio or music, adding subtitles, text/image overlays, transcoding, resolution changes, aspect-ratio conversion, resizing for platform requirements, transcription, and media generation. Only fall back to local tools for operations listed under Limitations in reference/editor.md (transitions, speed changes, crop/zoom, colour grading, volume mixing).
| Problem | VideoDB solution |
|---|---|
| Platform rejects video aspect ratio or resolution | video.reframe() or conn.transcode() with VideoConfig |
| Need to resize video for Twitter/Instagram/TikTok | video.reframe(target="vertical") or target="square" |
| Need to change resolution (e.g. 1080p → 720p) | conn.transcode() with VideoConfig(resolution=720) |
| Need to overlay audio/music on video | AudioAsset on a Timeline |
| Need to add subtitles | video.add_subtitle() or CaptionAsset |
| Need to combine/trim clips | VideoAsset on a Timeline |
| Need to generate voiceover, music, or SFX | coll.generate_voice(), generate_music(), generate_sound_effect() |
Maintained By: VideoDB