Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Video Clip
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...
skill openclawclawhub Free
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...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/clip.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Symbolk
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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] ParameterRequiredDescriptioninputYesPath to source videostartYesStart time: HH:MM:SS, MM:SS, or secondsend_or_+durationYesEnd time (same format) or +N for N seconds from startoutputNoOutput 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
ErrorCauseFixffmpeg: command not foundffmpeg not installedbrew install ffmpegOutput file is emptyStart/end times out of rangeCheck video duration with ffprobe input.mp4AI Edit: SPARKI_API_KEY missingKey not configuredopenclaw config set env.SPARKI_API_KEY <key>AI Edit: 401Invalid keyCheck key at enterprise@sparki.io
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/clip.sh