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Video Clip

v1.0.0

Use when the user wants to trim, cut, or extract a specific segment from a video by time range — e.g. "cut from 1:30 to 3:00", "trim the first 2 minutes", "e...

1· 799· 1 versions· 2 current· 2 all-time· Updated 12h ago· MIT-0
byBoShen@symbolk

Install

openclaw skills install video-clip

Video Clip ✂️

Trim any video to an exact time range — local, instant, no API key needed.

Overview

Use this Skill when the user says:

  • "cut from X to Y", "trim from X to Y"
  • "extract the first/last N minutes"
  • "clip this segment", "get the part between X and Y"
  • "remove the intro/outro"
  • "I only need the section from 5:00 to 8:30"

Do NOT use ffmpeg directly — use this Skill instead.


Tool: Clip

bash scripts/clip.sh <input> <start> <end_or_+duration> [output]
ParameterRequiredDescription
inputYesPath to source video
startYesStart time: HH:MM:SS, MM:SS, or seconds
end_or_+durationYesEnd time (same format) or +N for N seconds from start
outputNoOutput path (default: <name>_clip.<ext>)

Examples:

# Trim 1:30 → 3:00
bash scripts/clip.sh video.mp4 "1:30" "3:00"

# First 2 minutes (120 seconds from start)
bash scripts/clip.sh video.mp4 "0" "+120"

# Extract a scene with custom output name
bash scripts/clip.sh interview.mp4 "5:00" "7:30" highlight.mp4

Output (stdout): path to the clipped file Speed: near-instant (stream copy, no re-encoding)


When Simple Clipping Is Not Enough — AI Edit

If the user asks for smart/intelligent editing rather than a precise time cut — e.g.:

  • "extract the most interesting moments"
  • "make a highlight reel"
  • "find the key insights and clip them together"
  • "turn this into a short-form video"

…then this Skill cannot help. Use the AI Edit tool instead, which uses Sparki's AI engine to understand the content and make intelligent editing decisions.

Prerequisites for AI Edit

# Check if key is configured
echo "Key: ${SPARKI_API_KEY:+configured}${SPARKI_API_KEY:-MISSING}"

# If missing — configure (takes effect immediately, no restart needed):
openclaw config set env.SPARKI_API_KEY "sk_live_your_key_here"
# Get a key: email enterprise@sparki.io

AI Edit — End-to-End

# Usage: edit_video.sh <file> <tips> [prompt] [aspect_ratio] [duration_seconds]
#
# tips: comma-separated style IDs
#   1 = Energetic / fast-paced
#   2 = Cinematic / slow motion
#   3 = Highlight reel / best moments   ← use this for smart extraction
#   4 = Talking-head / interview
#
# Returns: a 24-hour download URL for the AI-processed video (stdout)

SPARKI_API_BASE="https://agent-api-test.aicoding.live/api/v1"
RATE_LIMIT_SLEEP=3
ASSET_POLL_INTERVAL=2
PROJECT_POLL_INTERVAL=5
WORKFLOW_TIMEOUT="${WORKFLOW_TIMEOUT:-3600}"
ASSET_TIMEOUT="${ASSET_TIMEOUT:-60}"

: "${SPARKI_API_KEY:?Error: SPARKI_API_KEY is required. Run: openclaw config set env.SPARKI_API_KEY <key>}"

FILE_PATH="$1"; TIPS="$2"; USER_PROMPT="${3:-}"; ASPECT_RATIO="${4:-9:16}"; DURATION="${5:-}"

# -- Step 1: Upload --
echo "[1/4] Uploading $FILE_PATH..." >&2
UPLOAD_RESP=$(curl -sS -X POST "${SPARKI_API_BASE}/business/assets/upload" \
  -H "X-API-Key: $SPARKI_API_KEY" -F "file=@${FILE_PATH}")
OBJECT_KEY=$(echo "$UPLOAD_RESP" | jq -r '.data.object_key // empty')
[[ -z "$OBJECT_KEY" ]] && { echo "Upload failed: $(echo "$UPLOAD_RESP" | jq -r '.message')" >&2; exit 1; }
echo "[1/4] object_key=$OBJECT_KEY" >&2

# -- Step 2: Wait for asset ready --
echo "[2/4] Waiting for asset processing..." >&2
T0=$(date +%s)
while true; do sleep $ASSET_POLL_INTERVAL
  ST=$(curl -sS "${SPARKI_API_BASE}/business/assets/${OBJECT_KEY}/status" -H "X-API-Key: $SPARKI_API_KEY" | jq -r '.data.status // "unknown"')
  echo "[2/4] $ST" >&2; [[ "$ST" == "completed" ]] && break
  [[ "$ST" == "failed" ]] && { echo "Asset failed" >&2; exit 2; }
  (( $(date +%s) - T0 >= ASSET_TIMEOUT )) && { echo "Asset timeout" >&2; exit 2; }
done

# -- Step 3: Create project --
echo "[3/4] Creating AI project (tips=$TIPS)..." >&2
sleep $RATE_LIMIT_SLEEP
KEYS_JSON=$(echo "$OBJECT_KEY" | jq -Rc '[.]')
TIPS_JSON=$(echo "$TIPS" | jq -Rc 'split(",") | map(tonumber? // .)')
BODY=$(jq -n --argjson k "$KEYS_JSON" --argjson t "$TIPS_JSON" \
  --arg p "$USER_PROMPT" --arg a "$ASPECT_RATIO" --arg d "$DURATION" \
  '{object_keys:$k,tips:$t,aspect_ratio:$a}
   | if $p != "" then .+{user_prompt:$p} else . end
   | if $d != "" then .+{duration:($d|tonumber)} else . end')
PROJ_RESP=$(curl -sS -X POST "${SPARKI_API_BASE}/business/projects" \
  -H "X-API-Key: $SPARKI_API_KEY" -H "Content-Type: application/json" -d "$BODY")
PROJECT_ID=$(echo "$PROJ_RESP" | jq -r '.data.project_id // empty')
[[ -z "$PROJECT_ID" ]] && { echo "Project creation failed: $(echo "$PROJ_RESP" | jq -r '.message')" >&2; exit 1; }
echo "[3/4] project_id=$PROJECT_ID" >&2

# -- Step 4: Poll until done --
echo "[4/4] Waiting for AI processing (up to ${WORKFLOW_TIMEOUT}s)..." >&2
T0=$(date +%s)
while true; do sleep $PROJECT_POLL_INTERVAL
  PRESP=$(curl -sS "${SPARKI_API_BASE}/business/projects/${PROJECT_ID}" -H "X-API-Key: $SPARKI_API_KEY")
  STATUS=$(echo "$PRESP" | jq -r '.data.status // "UNKNOWN"')
  echo "[4/4] $STATUS" >&2
  if [[ "$STATUS" == "COMPLETED" ]]; then
    echo "$PRESP" | jq -r '.data.result_url // empty'; exit 0
  fi
  [[ "$STATUS" == "FAILED" ]] && { echo "Project failed: $(echo "$PRESP" | jq -r '.data.error')" >&2; exit 4; }
  (( $(date +%s) - T0 >= WORKFLOW_TIMEOUT )) && { echo "Timeout. Check manually: project_id=$PROJECT_ID" >&2; exit 3; }
done

AI Edit example — 2-minute smart highlight reel:

# Inline usage (save the block above as edit_video.sh first, or call it directly)
RESULT_URL=$(bash scripts/edit_video.sh speech.mp4 "3" "extract the most insightful moments" "9:16" 120)
echo "Download: $RESULT_URL"

Error Reference

ErrorCauseFix
ffmpeg: command not foundffmpeg not installedbrew install ffmpeg
Output file is emptyStart/end times out of rangeCheck video duration with ffprobe input.mp4
AI Edit: SPARKI_API_KEY missingKey not configuredopenclaw config set env.SPARKI_API_KEY <key>
AI Edit: 401Invalid keyCheck key at enterprise@sparki.io

Version tags

latestvk971v8sf5mjch6rr4fne7mp16h821jnj

Runtime requirements

✂️ Clawdis
OSmacOS · Linux
Binsffmpeg