{
  "schemaVersion": "1.0",
  "item": {
    "slug": "video-clip",
    "name": "Video Clip",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/Symbolk/video-clip",
    "canonicalUrl": "https://clawhub.ai/Symbolk/video-clip",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/video-clip",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=video-clip",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "scripts/clip.sh"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "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."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "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."
        },
        {
          "label": "Upgrade existing",
          "body": "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."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-05-07T17:22:31.273Z",
      "expiresAt": "2026-05-14T17:22:31.273Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-annual-report",
        "contentDisposition": "attachment; filename=\"afrexai-annual-report-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/video-clip"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/video-clip",
    "agentPageUrl": "https://openagent3.xyz/skills/video-clip/agent",
    "manifestUrl": "https://openagent3.xyz/skills/video-clip/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/video-clip/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "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."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "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."
      },
      {
        "label": "Upgrade existing",
        "body": "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."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Video Clip ✂️",
        "body": "Trim any video to an exact time range — local, instant, no API key needed."
      },
      {
        "title": "Overview",
        "body": "Use this Skill when the user says:\n\n\"cut from X to Y\", \"trim from X to Y\"\n\"extract the first/last N minutes\"\n\"clip this segment\", \"get the part between X and Y\"\n\"remove the intro/outro\"\n\"I only need the section from 5:00 to 8:30\"\n\nDo NOT use ffmpeg directly — use this Skill instead."
      },
      {
        "title": "Tool: Clip",
        "body": "bash scripts/clip.sh <input> <start> <end_or_+duration> [output]\n\nParameterRequiredDescriptioninputYesPath 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>)\n\nExamples:\n\n# Trim 1:30 → 3:00\nbash scripts/clip.sh video.mp4 \"1:30\" \"3:00\"\n\n# First 2 minutes (120 seconds from start)\nbash scripts/clip.sh video.mp4 \"0\" \"+120\"\n\n# Extract a scene with custom output name\nbash scripts/clip.sh interview.mp4 \"5:00\" \"7:30\" highlight.mp4\n\nOutput (stdout): path to the clipped file\nSpeed: near-instant (stream copy, no re-encoding)"
      },
      {
        "title": "When Simple Clipping Is Not Enough — AI Edit",
        "body": "If the user asks for smart/intelligent editing rather than a precise time cut — e.g.:\n\n\"extract the most interesting moments\"\n\"make a highlight reel\"\n\"find the key insights and clip them together\"\n\"turn this into a short-form video\"\n\n…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."
      },
      {
        "title": "Prerequisites for AI Edit",
        "body": "# Check if key is configured\necho \"Key: ${SPARKI_API_KEY:+configured}${SPARKI_API_KEY:-MISSING}\"\n\n# If missing — configure (takes effect immediately, no restart needed):\nopenclaw config set env.SPARKI_API_KEY \"sk_live_your_key_here\"\n# Get a key: email enterprise@sparki.io"
      },
      {
        "title": "AI Edit — End-to-End",
        "body": "# Usage: edit_video.sh <file> <tips> [prompt] [aspect_ratio] [duration_seconds]\n#\n# tips: comma-separated style IDs\n#   1 = Energetic / fast-paced\n#   2 = Cinematic / slow motion\n#   3 = Highlight reel / best moments   ← use this for smart extraction\n#   4 = Talking-head / interview\n#\n# Returns: a 24-hour download URL for the AI-processed video (stdout)\n\nSPARKI_API_BASE=\"https://agent-api-test.aicoding.live/api/v1\"\nRATE_LIMIT_SLEEP=3\nASSET_POLL_INTERVAL=2\nPROJECT_POLL_INTERVAL=5\nWORKFLOW_TIMEOUT=\"${WORKFLOW_TIMEOUT:-3600}\"\nASSET_TIMEOUT=\"${ASSET_TIMEOUT:-60}\"\n\n: \"${SPARKI_API_KEY:?Error: SPARKI_API_KEY is required. Run: openclaw config set env.SPARKI_API_KEY <key>}\"\n\nFILE_PATH=\"$1\"; TIPS=\"$2\"; USER_PROMPT=\"${3:-}\"; ASPECT_RATIO=\"${4:-9:16}\"; DURATION=\"${5:-}\"\n\n# -- Step 1: Upload --\necho \"[1/4] Uploading $FILE_PATH...\" >&2\nUPLOAD_RESP=$(curl -sS -X POST \"${SPARKI_API_BASE}/business/assets/upload\" \\\n  -H \"X-API-Key: $SPARKI_API_KEY\" -F \"file=@${FILE_PATH}\")\nOBJECT_KEY=$(echo \"$UPLOAD_RESP\" | jq -r '.data.object_key // empty')\n[[ -z \"$OBJECT_KEY\" ]] && { echo \"Upload failed: $(echo \"$UPLOAD_RESP\" | jq -r '.message')\" >&2; exit 1; }\necho \"[1/4] object_key=$OBJECT_KEY\" >&2\n\n# -- Step 2: Wait for asset ready --\necho \"[2/4] Waiting for asset processing...\" >&2\nT0=$(date +%s)\nwhile true; do sleep $ASSET_POLL_INTERVAL\n  ST=$(curl -sS \"${SPARKI_API_BASE}/business/assets/${OBJECT_KEY}/status\" -H \"X-API-Key: $SPARKI_API_KEY\" | jq -r '.data.status // \"unknown\"')\n  echo \"[2/4] $ST\" >&2; [[ \"$ST\" == \"completed\" ]] && break\n  [[ \"$ST\" == \"failed\" ]] && { echo \"Asset failed\" >&2; exit 2; }\n  (( $(date +%s) - T0 >= ASSET_TIMEOUT )) && { echo \"Asset timeout\" >&2; exit 2; }\ndone\n\n# -- Step 3: Create project --\necho \"[3/4] Creating AI project (tips=$TIPS)...\" >&2\nsleep $RATE_LIMIT_SLEEP\nKEYS_JSON=$(echo \"$OBJECT_KEY\" | jq -Rc '[.]')\nTIPS_JSON=$(echo \"$TIPS\" | jq -Rc 'split(\",\") | map(tonumber? // .)')\nBODY=$(jq -n --argjson k \"$KEYS_JSON\" --argjson t \"$TIPS_JSON\" \\\n  --arg p \"$USER_PROMPT\" --arg a \"$ASPECT_RATIO\" --arg d \"$DURATION\" \\\n  '{object_keys:$k,tips:$t,aspect_ratio:$a}\n   | if $p != \"\" then .+{user_prompt:$p} else . end\n   | if $d != \"\" then .+{duration:($d|tonumber)} else . end')\nPROJ_RESP=$(curl -sS -X POST \"${SPARKI_API_BASE}/business/projects\" \\\n  -H \"X-API-Key: $SPARKI_API_KEY\" -H \"Content-Type: application/json\" -d \"$BODY\")\nPROJECT_ID=$(echo \"$PROJ_RESP\" | jq -r '.data.project_id // empty')\n[[ -z \"$PROJECT_ID\" ]] && { echo \"Project creation failed: $(echo \"$PROJ_RESP\" | jq -r '.message')\" >&2; exit 1; }\necho \"[3/4] project_id=$PROJECT_ID\" >&2\n\n# -- Step 4: Poll until done --\necho \"[4/4] Waiting for AI processing (up to ${WORKFLOW_TIMEOUT}s)...\" >&2\nT0=$(date +%s)\nwhile true; do sleep $PROJECT_POLL_INTERVAL\n  PRESP=$(curl -sS \"${SPARKI_API_BASE}/business/projects/${PROJECT_ID}\" -H \"X-API-Key: $SPARKI_API_KEY\")\n  STATUS=$(echo \"$PRESP\" | jq -r '.data.status // \"UNKNOWN\"')\n  echo \"[4/4] $STATUS\" >&2\n  if [[ \"$STATUS\" == \"COMPLETED\" ]]; then\n    echo \"$PRESP\" | jq -r '.data.result_url // empty'; exit 0\n  fi\n  [[ \"$STATUS\" == \"FAILED\" ]] && { echo \"Project failed: $(echo \"$PRESP\" | jq -r '.data.error')\" >&2; exit 4; }\n  (( $(date +%s) - T0 >= WORKFLOW_TIMEOUT )) && { echo \"Timeout. Check manually: project_id=$PROJECT_ID\" >&2; exit 3; }\ndone\n\nAI Edit example — 2-minute smart highlight reel:\n\n# Inline usage (save the block above as edit_video.sh first, or call it directly)\nRESULT_URL=$(bash scripts/edit_video.sh speech.mp4 \"3\" \"extract the most insightful moments\" \"9:16\" 120)\necho \"Download: $RESULT_URL\""
      },
      {
        "title": "Error Reference",
        "body": "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"
      }
    ],
    "body": "Video Clip ✂️\n\nTrim any video to an exact time range — local, instant, no API key needed.\n\nOverview\n\nUse this Skill when the user says:\n\n\"cut from X to Y\", \"trim from X to Y\"\n\"extract the first/last N minutes\"\n\"clip this segment\", \"get the part between X and Y\"\n\"remove the intro/outro\"\n\"I only need the section from 5:00 to 8:30\"\n\nDo NOT use ffmpeg directly — use this Skill instead.\n\nTool: Clip\nbash scripts/clip.sh <input> <start> <end_or_+duration> [output]\n\nParameter\tRequired\tDescription\ninput\tYes\tPath to source video\nstart\tYes\tStart time: HH:MM:SS, MM:SS, or seconds\nend_or_+duration\tYes\tEnd time (same format) or +N for N seconds from start\noutput\tNo\tOutput path (default: <name>_clip.<ext>)\n\nExamples:\n\n# Trim 1:30 → 3:00\nbash scripts/clip.sh video.mp4 \"1:30\" \"3:00\"\n\n# First 2 minutes (120 seconds from start)\nbash scripts/clip.sh video.mp4 \"0\" \"+120\"\n\n# Extract a scene with custom output name\nbash scripts/clip.sh interview.mp4 \"5:00\" \"7:30\" highlight.mp4\n\n\nOutput (stdout): path to the clipped file Speed: near-instant (stream copy, no re-encoding)\n\nWhen Simple Clipping Is Not Enough — AI Edit\n\nIf the user asks for smart/intelligent editing rather than a precise time cut — e.g.:\n\n\"extract the most interesting moments\"\n\"make a highlight reel\"\n\"find the key insights and clip them together\"\n\"turn this into a short-form video\"\n\n…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.\n\nPrerequisites for AI Edit\n# Check if key is configured\necho \"Key: ${SPARKI_API_KEY:+configured}${SPARKI_API_KEY:-MISSING}\"\n\n# If missing — configure (takes effect immediately, no restart needed):\nopenclaw config set env.SPARKI_API_KEY \"sk_live_your_key_here\"\n# Get a key: email enterprise@sparki.io\n\nAI Edit — End-to-End\n# Usage: edit_video.sh <file> <tips> [prompt] [aspect_ratio] [duration_seconds]\n#\n# tips: comma-separated style IDs\n#   1 = Energetic / fast-paced\n#   2 = Cinematic / slow motion\n#   3 = Highlight reel / best moments   ← use this for smart extraction\n#   4 = Talking-head / interview\n#\n# Returns: a 24-hour download URL for the AI-processed video (stdout)\n\nSPARKI_API_BASE=\"https://agent-api-test.aicoding.live/api/v1\"\nRATE_LIMIT_SLEEP=3\nASSET_POLL_INTERVAL=2\nPROJECT_POLL_INTERVAL=5\nWORKFLOW_TIMEOUT=\"${WORKFLOW_TIMEOUT:-3600}\"\nASSET_TIMEOUT=\"${ASSET_TIMEOUT:-60}\"\n\n: \"${SPARKI_API_KEY:?Error: SPARKI_API_KEY is required. Run: openclaw config set env.SPARKI_API_KEY <key>}\"\n\nFILE_PATH=\"$1\"; TIPS=\"$2\"; USER_PROMPT=\"${3:-}\"; ASPECT_RATIO=\"${4:-9:16}\"; DURATION=\"${5:-}\"\n\n# -- Step 1: Upload --\necho \"[1/4] Uploading $FILE_PATH...\" >&2\nUPLOAD_RESP=$(curl -sS -X POST \"${SPARKI_API_BASE}/business/assets/upload\" \\\n  -H \"X-API-Key: $SPARKI_API_KEY\" -F \"file=@${FILE_PATH}\")\nOBJECT_KEY=$(echo \"$UPLOAD_RESP\" | jq -r '.data.object_key // empty')\n[[ -z \"$OBJECT_KEY\" ]] && { echo \"Upload failed: $(echo \"$UPLOAD_RESP\" | jq -r '.message')\" >&2; exit 1; }\necho \"[1/4] object_key=$OBJECT_KEY\" >&2\n\n# -- Step 2: Wait for asset ready --\necho \"[2/4] Waiting for asset processing...\" >&2\nT0=$(date +%s)\nwhile true; do sleep $ASSET_POLL_INTERVAL\n  ST=$(curl -sS \"${SPARKI_API_BASE}/business/assets/${OBJECT_KEY}/status\" -H \"X-API-Key: $SPARKI_API_KEY\" | jq -r '.data.status // \"unknown\"')\n  echo \"[2/4] $ST\" >&2; [[ \"$ST\" == \"completed\" ]] && break\n  [[ \"$ST\" == \"failed\" ]] && { echo \"Asset failed\" >&2; exit 2; }\n  (( $(date +%s) - T0 >= ASSET_TIMEOUT )) && { echo \"Asset timeout\" >&2; exit 2; }\ndone\n\n# -- Step 3: Create project --\necho \"[3/4] Creating AI project (tips=$TIPS)...\" >&2\nsleep $RATE_LIMIT_SLEEP\nKEYS_JSON=$(echo \"$OBJECT_KEY\" | jq -Rc '[.]')\nTIPS_JSON=$(echo \"$TIPS\" | jq -Rc 'split(\",\") | map(tonumber? // .)')\nBODY=$(jq -n --argjson k \"$KEYS_JSON\" --argjson t \"$TIPS_JSON\" \\\n  --arg p \"$USER_PROMPT\" --arg a \"$ASPECT_RATIO\" --arg d \"$DURATION\" \\\n  '{object_keys:$k,tips:$t,aspect_ratio:$a}\n   | if $p != \"\" then .+{user_prompt:$p} else . end\n   | if $d != \"\" then .+{duration:($d|tonumber)} else . end')\nPROJ_RESP=$(curl -sS -X POST \"${SPARKI_API_BASE}/business/projects\" \\\n  -H \"X-API-Key: $SPARKI_API_KEY\" -H \"Content-Type: application/json\" -d \"$BODY\")\nPROJECT_ID=$(echo \"$PROJ_RESP\" | jq -r '.data.project_id // empty')\n[[ -z \"$PROJECT_ID\" ]] && { echo \"Project creation failed: $(echo \"$PROJ_RESP\" | jq -r '.message')\" >&2; exit 1; }\necho \"[3/4] project_id=$PROJECT_ID\" >&2\n\n# -- Step 4: Poll until done --\necho \"[4/4] Waiting for AI processing (up to ${WORKFLOW_TIMEOUT}s)...\" >&2\nT0=$(date +%s)\nwhile true; do sleep $PROJECT_POLL_INTERVAL\n  PRESP=$(curl -sS \"${SPARKI_API_BASE}/business/projects/${PROJECT_ID}\" -H \"X-API-Key: $SPARKI_API_KEY\")\n  STATUS=$(echo \"$PRESP\" | jq -r '.data.status // \"UNKNOWN\"')\n  echo \"[4/4] $STATUS\" >&2\n  if [[ \"$STATUS\" == \"COMPLETED\" ]]; then\n    echo \"$PRESP\" | jq -r '.data.result_url // empty'; exit 0\n  fi\n  [[ \"$STATUS\" == \"FAILED\" ]] && { echo \"Project failed: $(echo \"$PRESP\" | jq -r '.data.error')\" >&2; exit 4; }\n  (( $(date +%s) - T0 >= WORKFLOW_TIMEOUT )) && { echo \"Timeout. Check manually: project_id=$PROJECT_ID\" >&2; exit 3; }\ndone\n\n\nAI Edit example — 2-minute smart highlight reel:\n\n# Inline usage (save the block above as edit_video.sh first, or call it directly)\nRESULT_URL=$(bash scripts/edit_video.sh speech.mp4 \"3\" \"extract the most insightful moments\" \"9:16\" 120)\necho \"Download: $RESULT_URL\"\n\nError Reference\nError\tCause\tFix\nffmpeg: command not found\tffmpeg not installed\tbrew install ffmpeg\nOutput file is empty\tStart/end times out of range\tCheck video duration with ffprobe input.mp4\nAI Edit: SPARKI_API_KEY missing\tKey not configured\topenclaw config set env.SPARKI_API_KEY <key>\nAI Edit: 401\tInvalid key\tCheck key at enterprise@sparki.io"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/Symbolk/video-clip",
    "publisherUrl": "https://clawhub.ai/Symbolk/video-clip",
    "owner": "Symbolk",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/video-clip",
    "downloadUrl": "https://openagent3.xyz/downloads/video-clip",
    "agentUrl": "https://openagent3.xyz/skills/video-clip/agent",
    "manifestUrl": "https://openagent3.xyz/skills/video-clip/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/video-clip/agent.md"
  }
}