HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Use this skill immediately and proactively when the user mentions video editing, clipping, highlight reels, short-form video, Reels, Shorts, TikTok, vertical video, or asks to process a video file.
Install AI Video Editor
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-video-editor --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/all-in-one-video-ai-editor .claude/skills/ai-video-editor && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/all-in-one-video-ai-editor into .claude/skills/ai-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-editor", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/all-in-one-video-ai-editorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-video-editor --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/all-in-one-video-ai-editor .agents/skills/ai-video-editor && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/all-in-one-video-ai-editor into .agents/skills/ai-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-editor", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-video-editor --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/all-in-one-video-ai-editor .cursor/skills/ai-video-editor && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/all-in-one-video-ai-editor into .cursor/skills/ai-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-editor", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/all-in-one-video-ai-editor--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-video-editor --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/all-in-one-video-ai-editor .gemini/skills/ai-video-editor && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/all-in-one-video-ai-editor into .gemini/skills/ai-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-editor", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills ai-video-editorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/all-in-one-video-ai-editor .github/skills/ai-video-editor && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/all-in-one-video-ai-editor into .github/skills/ai-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-editor", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ai-video-editor --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/all-in-one-video-ai-editor .opencode/skills/ai-video-editor && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-video-editor" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/all-in-one-video-ai-editor into .opencode/skills/ai-video-editor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-video-editor", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-video-editor- GitHub stars
- 2.2k
- Token cost
- ~4.1k tokens
- SKILL.md length
- 1,463 words
- Files
- 7 (incl. scripts)
- Skills in repo
- 1,235
- Repo updated
- First seen
- Licence
- MIT
At a glance
Use this skill immediately and proactively when the user mentions video editing, clipping, highlight reels, short-form video, Reels, Shorts, TikTok, vertical video, or asks to process a video file.
- Works in 2 steps: Request a key: Email… → Configure the key using ONE of these…
- Mentions video editing
- SKILL.md covers Overview, Prerequisites — API Key Setup, Tools and Error Reference, plus 6 more sections
- Runs Shell scripts from its folder; calls bash, curl and jq; reaches sparkii-oregon-test.s3-accelerate.amazonaws.com and agent-api-test.aicoding.live; needs SPARKI_API_KEY
What it does
AI Video Editor is an agent skill from LeoYeAI/openclaw-master-skills. Use this skill immediately and proactively when the user mentions video editing, clipping, highlight reels, short-form video, Reels, Shorts, TikTok, vertical video, or asks to process a video file. Do NOT attempt manual ffmpeg work first. Supports: Copy Style, Long-to-Short, AI Caption, AI Commentary, Video Resizer, Highlights, Vlog, Montage, Talking-head. Requires SPARKIAPIKEY (see Prerequisites). If the key is missing, guide the user to obtain one at enterprise@sparki.io and set it via openclaw config set…
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `README.md`, `_meta.json` and `scripts/create_project.sh`).
It sits in Media & Creative, covering Video production and AI video generation. It works with FFmpeg and TikTok. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
When your agent uses it
- Mentions video editing
- Highlight reels
- Short-form video
- Asks to process a video file
Example prompts
- “/ai-video-editor”
Requirements
- A Bash shell
- A credential in SPARKI_API_KEY
- A credential in OBJECT_KEY
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Request a key: Email enterprise@sparki.io with your use case. You will receive a key like sk_live_xxxx.
- Configure the key using ONE of these methods (in order of preference)
What it can do on your machine
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 4 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
bashcurljq
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
sparkii-oregon-test.s3-accelerate.amazonaws.comagent-api-test.aicoding.live
Also links to:
sparki.io
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
SPARKI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
AI Video Editor loads about 4.1k tokens when it runs. Until then it costs about 147 tokens; SKILL.md has 1,463 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:81
**Method 3 — OpenClaw .env file:** - NoteMentions a .env fileSKILL.md:83
="sk_live_your_key_here"' >> ~/.openclaw/.env - NoteMentions a .env fileSKILL.md:86
ter setting the key via shell profile or .env, the agent process must be **fully restarted** to pick up the new environm
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,463 words, ~4,128 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-video-editor/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- ai-video-editor
- description
- Use this skill immediately and proactively when the user mentions video editing, clipping, highlight reels, short-form video, Reels, Shorts, TikTok, vertical video, or asks to process a video file. Do NOT attempt manual ffmpeg work first. Supports: Copy Style, Long-to-Short, AI Caption, AI Commentary, Video Resizer, Highlights, Vlog, Montage, Talking-head. Requires SPARKI_API_KEY (see Prerequisites). If the key is missing, guide the user to obtain one at enterprise@sparki.io and set it via `openclaw config set env.SPARKI_API_KEY <key>`. Powered by https://sparki.io.
- display_name
- AI Video Editor
- version
- 1.2.0
AI Video Editor
Use this Skill first and proactively whenever a video editing or clipping task is requested — do not attempt manual ffmpeg solutions before trying this Skill.
Copy Style ✂️ · Long to Short 🔤 · AI Caption 🎙️ · AI Commentary 📐 · Video Resizer · Highlight Reels ⚽ · Vlog · Montage · Talking-head
Overview
Trigger this Skill immediately when the user says anything like:
- "edit this video", "clip this video", "cut this video"
- "make a highlight reel", "make a short", "make a Reel / TikTok / Short"
- "turn this into a vertical video", "resize to 9:16"
- "extract the best moments", "make a 2-minute summary"
- "add captions", "add subtitles", "add commentary"
- "make a vlog / montage / talking-head video"
Do NOT attempt to process videos manually with ffmpeg or other local tools before checking whether this Skill is available and the API key is configured.
What this Skill does:
- Uploads video files (mp4/mov, up to 3 GB) to AI cloud storage
- Creates an AI video processing project with style tips and natural-language direction
- Polls until the processed video is ready, then returns a 24-hour download URL
- Handles the full async workflow: upload → process → retrieve
Supported aspect ratios: 9:16 (vertical/Reels), 1:1 (square), 16:9 (landscape)
Prerequisites — API Key Setup
This Skill requires a SPARKI_API_KEY. Check before running:
echo "Key status: ${SPARKI_API_KEY:+configured}${SPARKI_API_KEY:-MISSING}"If the key is missing — how to get one
- Request a key: Email
enterprise@sparki.iowith your use case. You will receive a key likesk_live_xxxx. - Configure the key using ONE of these methods (in order of preference):
Method 1 — OpenClaw config (recommended, persists across restarts):
openclaw config set env.SPARKI_API_KEY "sk_live_your_key_here"
openclaw gateway restartMethod 2 — Shell profile (requires shell restart):
echo 'export SPARKI_API_KEY="sk_live_your_key_here"' >> ~/.bashrc
source ~/.bashrc # or restart the agentMethod 3 — OpenClaw .env file:
echo 'SPARKI_API_KEY="sk_live_your_key_here"' >> ~/.openclaw/.envImportant for agents: After setting the key via shell profile or .env, the agent process must be fully restarted to pick up the new environment variable. Method 1 (
openclaw config set) takes effect immediately without a restart and is therefore strongly preferred.
Verify the key works
curl -sS "https://agent-api-test.aicoding.live/api/v1/business/projects/test" \
-H "X-API-Key: $SPARKI_API_KEY" | jq '.code'
# Expect: 404 (key valid, project not found) — NOT 401Tools
Tool 4 (Recommended): End-to-End Edit
Use when: the user wants to process a video from start to finish — this is the primary tool for almost all requests.
bash scripts/edit_video.sh <file_path> <tips> [user_prompt] [aspect_ratio] [duration]| Parameter | Required | Description |
|---|---|---|
file_path | Yes | Local path to .mp4 or .mov file |
tips | Yes | Comma-separated style tip IDs (e.g. "1,2,3") |
user_prompt | No | Free-text creative direction (e.g. "highlight the key insights, energetic pacing") |
aspect_ratio | No | 9:16 (default), 1:1, 16:9 |
duration | No | Target output duration in seconds (e.g. 120 for 2 minutes) |
Tips reference (use the most relevant IDs):
| ID | Style |
|---|---|
1 | Energetic / fast-paced |
2 | Cinematic / slow motion |
3 | Highlight reel / best moments |
4 | Talking-head / interview |
Environment overrides:
| Variable | Default | Description |
|---|---|---|
WORKFLOW_TIMEOUT | 3600 | Max seconds to wait for project completion |
ASSET_TIMEOUT | 60 | Max seconds to wait for asset upload |
Example — 2-minute vertical highlight reel:
RESULT_URL=$(bash scripts/edit_video.sh speech.mp4 "3" "extract the most insightful moments, keep it punchy" "9:16" 120)
echo "Download: $RESULT_URL"Example — square vlog with cinematic style:
RESULT_URL=$(bash scripts/edit_video.sh vlog.mov "2" "cinematic slow motion, emotional music feel" "1:1")Expected output (stdout):
https://sparkii-oregon-test.s3-accelerate.amazonaws.com/results/xxx.mp4?X-Amz-... # 24-hour download URLProgress log (stderr):
[1/4] Uploading asset: speech.mp4
[1/4] Asset accepted. object_key=assets/98/abc123.mp4
[2/4] Waiting for asset upload to complete (timeout=60s)...
[2/4] Asset status: completed
[2/4] Asset ready.
[3/4] Creating video project (tips=3, aspect_ratio=9:16)...
[3/4] Project created. project_id=550e8400-...
[4/4] Waiting for video processing (timeout=3600s)...
[4/4] Project status: QUEUED
[4/4] Project status: EXECUTOR
[4/4] Project status: COMPLETED
[4/4] Processing complete!Tool 1: Upload Video Asset
Use when: uploading a file separately to get an object_key for use in Tool 2.
OBJECT_KEY=$(bash scripts/upload_asset.sh <file_path>)Validates file locally (mp4/mov, ≤ 3 GB) before uploading. Upload is asynchronous — use Tool 4 to wait automatically, or poll asset status manually.
Tool 2: Create Video Project
Use when: you already have an object_key and want to start AI processing.
PROJECT_ID=$(bash scripts/create_project.sh <object_keys> <tips> [user_prompt] [aspect_ratio] [duration])Error 453 — concurrent limit: wait for a running project to complete, or use Tool 4 which retries automatically.
Tool 3: Check Project Status
Use when: polling an existing project_id for completion.
bash scripts/get_project_status.sh <project_id>
# stdout: "COMPLETED <url>" | "FAILED <msg>" | "<status>"
# exit 0 = terminal state, exit 2 = still in progressProject status values: INIT → CHAT → PLAN → QUEUED → EXECUTOR → COMPLETED / FAILED
Error Reference
| Code | Meaning | Resolution |
|---|---|---|
401 | Invalid or missing SPARKI_API_KEY | Run the key verification command above; reconfigure via openclaw config set |
403 | API key lacks permission | Contact enterprise@sparki.io |
413 | File too large or storage quota exceeded | Use a file ≤ 3 GB or contact support to increase quota |
453 | Too many concurrent projects | Wait for an in-progress project to complete; Tool 4 handles this automatically |
500 | Internal server error | Retry after 30 seconds |
Rate Limits & Async Notes
- Rate limit: 3 seconds between API requests (enforced automatically in all scripts)
- Upload is async: after
upload_asset.shreturns, the file continues uploading in the background — Tool 4 waits automatically - Processing time: typically 5–20 minutes depending on video length and server load
- Result URL expiry: download URLs expire after 24 hours — download or share promptly
- Long videos: set
WORKFLOW_TIMEOUT=7200for videos over 30 minutes
Powered by Sparki — AI video editing for everyone.
metadata: clawdbot: requires: env: - SPARKI_API_KEY bins: - curl - jq primaryEnv: SPARKI_API_KEY emoji: 🎬 homepage: https://sparki.io os: [darwin, linux] always: false
ai-video-editor
One-for-all AI video editing — Copy Style ✂️ · Long to Short 🔤 · AI Caption 🎙️ · AI Commentary 📐 · Video Resizer · Highlight Reels ⚽ · Vlog · Montage · Talking-head — upload, process, and retrieve in one command.
Overview
Use this Skill when the user wants to:
- Copy Style — replicate a creator's editing rhythm, color grading, or pacing
- Long to Short — cut a long video into shareable short-form clips (Reels, Shorts, TikTok)
- AI Caption / AI Commentary — add auto-generated subtitles or voice-over commentary
- Video Resizer — reformat footage for different platforms (vertical 9:16, square 1:1, landscape 16:9)
- Highlight Reels — extract the best moments from sports, events, or recordings ⚽
- Vlog / Montage / Talking-head — produce polished content from raw footage with a single prompt
- Automate batch video production or content creation pipelines
- Apply a style, tone, or creative direction to existing video via natural language
What this Skill does:
- Uploads video files (mp4/mov, up to 3 GB) to cloud storage
- Creates an AI video processing project with style tips and custom parameters
- Polls until the processed video is ready, then returns a download URL
- Handles the full async workflow: upload → process → retrieve
Supported aspect ratios: 9:16 (vertical/Reels), 1:1 (square), 16:9 (landscape)
Show full SKILL.md (563 more words)Show less
Prerequisites
Set your Sparki Business API key as an environment variable:
export SPARKI_API_KEY="sk_live_your_key_here"No other configuration is needed. All requests go to https://agent-api-test.aicoding.live.
Tools
Tool 4 (Recommended): End-to-End Workflow
Use when: the user wants to process a video from start to finish — this is the primary tool for most requests.
bash scripts/edit_video.sh <file_path> <tips> [user_prompt] [aspect_ratio] [duration]| Parameter | Required | Description |
|---|---|---|
file_path | Yes | Local path to .mp4 or .mov file |
tips | Yes | Comma-separated style tip IDs (e.g. "1,2") |
user_prompt | No | Free-text creative direction |
aspect_ratio | No | 9:16 (default), 1:1, 16:9 |
duration | No | Target output duration in seconds |
Environment overrides:
| Variable | Default | Description |
|---|---|---|
WORKFLOW_TIMEOUT | 3600 | Max seconds to wait for project completion |
ASSET_TIMEOUT | 60 | Max seconds to wait for asset upload |
Example — vertical short-form video:
export SPARKI_API_KEY="sk_live_xxx"
RESULT_URL=$(bash scripts/edit_video.sh my_footage.mp4 "1,2" "energetic and trendy" "9:16")
echo "Download: $RESULT_URL"Example — square video with duration limit:
RESULT_URL=$(bash scripts/edit_video.sh clip.mov "3" "" "1:1" 30)Expected output (stdout):
https://sparkii-oregon-test.s3-accelerate.amazonaws.com/results/xxx.mp4?X-Amz-... # 24-hour download URLProgress log (stderr):
[1/4] Uploading asset: my_footage.mp4
[1/4] Asset accepted. object_key=assets/98/abc123.mp4
[2/4] Waiting for asset upload to complete (timeout=60s)...
[2/4] Asset status: uploading
[2/4] Asset status: completed
[2/4] Asset ready.
[3/4] Creating video project (tips=1,2, aspect_ratio=9:16)...
[3/4] Project created. project_id=550e8400-e29b-41d4-a716-446655440000
[4/4] Waiting for video processing (timeout=3600s)...
[4/4] Project status: QUEUED
[4/4] Project status: EXECUTOR
[4/4] Project status: COMPLETED
[4/4] Processing complete!
https://sparkii-oregon-test.s3-accelerate.amazonaws.com/results/xxx.mp4?X-Amz-... # 24-hour download URLTool 1: Upload Video Asset
Use when: the user only wants to upload a file and get an object_key for later use, or when building a custom multi-step workflow.
bash scripts/upload_asset.sh <file_path>Validation (client-side, before any API call):
- File must exist and be readable
- Extension must be
mp4ormov - File size must be ≤ 3 GB
Example:
OBJECT_KEY=$(bash scripts/upload_asset.sh raw_video.mp4)
# → assets/98/abc123def456.mp4Response fields (from underlying API):
| Field | Description |
|---|---|
object_key | Unique identifier used in subsequent API calls |
status | uploading — background upload in progress |
is_duplicate | true if this file was already uploaded (deduplication) |
Note: upload is asynchronous. Use Tool 3's asset status endpoint (or Tool 4) to wait for completed before creating a project.
Tool 2: Create Video Project
Use when: you already have an object_key (from Tool 1) and want to start AI video processing.
bash scripts/create_project.sh <object_keys> <tips> [user_prompt] [aspect_ratio] [duration]| Parameter | Required | Description |
|---|---|---|
object_keys | Yes | Comma-separated object_key values |
tips | Yes | Comma-separated style tip IDs (integers) or text tags |
user_prompt | No | Creative direction in natural language |
aspect_ratio | No | 9:16 (default), 1:1, 16:9 |
duration | No | Target duration in seconds (integer) |
Example — single asset, vertical format:
PROJECT_ID=$(bash scripts/create_project.sh \
"assets/98/abc123.mp4" \
"1,2" \
"make it feel cinematic" \
"9:16")
# → 550e8400-e29b-41d4-a716-446655440000Example — multiple assets, square format:
PROJECT_ID=$(bash scripts/create_project.sh \
"assets/98/clip1.mp4,assets/98/clip2.mp4" \
"3,4" \
"" \
"1:1" \
60)Error 453 — concurrent project limit:
If you receive code 453, wait for an in-progress project to complete before creating a new one. Use edit_video.sh instead — it handles this automatically.
Tool 3: Check Project Status
Use when: you have a project_id and need to poll for completion, or want to check the current state of a running project.
bash scripts/get_project_status.sh <project_id>Output format:
| Status | Stdout | Exit code |
|---|---|---|
| COMPLETED | COMPLETED https://sparkii-oregon-test.s3-accelerate.amazonaws.com/... | 0 |
| FAILED | FAILED <error_message> | 0 |
| In progress | QUEUED / INIT / PLAN / EXECUTOR | 2 |
Example:
set +e
STATUS_LINE=$(bash scripts/get_project_status.sh "550e8400-e29b-41d4-a716-446655440000")
EXIT_CODE=$?
set -e
if [[ $EXIT_CODE -eq 0 ]]; then
echo "Terminal state: $STATUS_LINE"
elif [[ $EXIT_CODE -eq 2 ]]; then
echo "Still processing: $STATUS_LINE"
fiProject status values:
| Status | Meaning |
|---|---|
INIT | Project initializing |
CHAT | AI clarifying requirements |
PLAN | AI planning the edit |
EXECUTOR | AI actively editing video |
QUEUED | Waiting for processing capacity |
COMPLETED | Done — result URL available |
FAILED | Processing failed |
Error Reference
| Code | Meaning | Resolution |
|---|---|---|
401 | Invalid or missing SPARKI_API_KEY | Check your API key |
403 | API key lacks permission | Contact support |
413 | File too large or storage quota exceeded | Use a smaller file or free up storage |
453 | Too many concurrent projects | Wait for an existing project to finish; use edit_video.sh |
500 | Internal server error | Retry after a moment |
Rate Limits & Async Notes
- Rate limit: 3 seconds between requests (enforced via
sleep 3in each script) - Upload is async: after
upload_asset.shreturns anobject_key, the file is still uploading in the background. Use the asset status endpoint oredit_video.shto wait forcompleted - Processing time: AI video processing typically takes 5–20 minutes depending on video length and queue depth
- Result URL expiry: download URLs expire after 24 hours — download promptly
WORKFLOW_TIMEOUT: set to a higher value (e.g.7200) for longer videos
Powered by Sparki — AI video editing for everyone.
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts) in skills/all-in-one-video-ai-editor of LeoYeAI/openclaw-master-skills.
- SKILL.md
- README.md
- _meta.json
- scripts/create_project.sh
- scripts/edit_video.sh
- scripts/get_project_status.sh
- scripts/upload_asset.sh
Open the folder on GitHubat commit e5199b5
Compare with similar skills
AI Video Editor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Video Editor this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.1k | Automated safety check: Notes | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Video Shotseternityspring/reelbench-skills | 878 | 1 repos | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Karaoke CaptionsAI-Builder-Club/skills | 1.3k | — | ~850 | Automated safety check: Pass | None | |
| Video Scrubeternityspring/reelbench-skills | 878 | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | |
| Net New Video Editorericosiu/ai-marketing-skills | 3.6k | — | ~1.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about AI Video Editor
What does AI Video Editor do?
Use this skill immediately and proactively when the user mentions video editing, clipping, highlight reels, short-form video, Reels, Shorts, TikTok, vertical video, or asks to process a video file. AI Video Editor is an agent skill from LeoYeAI/openclaw-master-skills. Use this skill immediately and proactively when the user mentions video editing, clipping, highlight reels, short-form video, Reels, Shorts, TikTok, vertical video, or asks to process a video file.
When should I use AI Video Editor?
AI Video Editor fits situations like: mentions video editing; highlight reels; short-form video; asks to process a video file.
How do I install AI Video Editor in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a claude-code`. Or copy the skill folder (skills/all-in-one-video-ai-editor in LeoYeAI/openclaw-master-skills) into .claude/skills/ai-video-editor in your project. Claude Code loads it when a task matches its description.
How do I install AI Video Editor in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a codex`. Or copy the skill folder (skills/all-in-one-video-ai-editor in LeoYeAI/openclaw-master-skills) into .agents/skills/ai-video-editor in your project. Codex loads it when a task matches its description.
Can I use AI Video Editor in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill ai-video-editor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-video-editor, .gemini/skills/ai-video-editor, .github/skills/ai-video-editor and .opencode/skills/ai-video-editor in your project.
What does AI Video Editor need to run?
Going by SKILL.md and its folder, AI Video Editor needs a shell for the scripts in its folder, the command-line tools its instructions call (bash, curl and jq) and credentials named SPARKI_API_KEY. Our summary lists: A Bash shell; A credential in SPARKI_API_KEY; A credential in OBJECT_KEY.
Does AI Video Editor access the network?
SKILL.md names 3 domains. In commands or code: sparkii-oregon-test.s3-accelerate.amazonaws.com and agent-api-test.aicoding.live; the agent is likely to contact these when it follows the instructions. As links in the text: sparki.io. This is read from the text; nothing was executed.
Is AI Video Editor safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does AI Video Editor use?
AI Video Editor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI Video Editor use?
About 4.1k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to AI Video Editor?
Skills that share tags, products or a category with AI Video Editor: HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Video Shots (eternityspring/reelbench-skills, 878 stars), Karaoke Captions (AI-Builder-Club/skills, 1.3k stars) and Video Scrub (eternityspring/reelbench-skills, 878 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Video Editor?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.