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Install in OpenClaw
/install sparki-video-editor
Description
AI video editor for creators. Transform raw footage into polished vlogs, talking-head videos, or social media content (TikTok/Shorts/Reels). Control the work...
Usage Guidance
This skill appears to do what it claims, but before installing or using it consider: 1) You will need to provide a SPARKI_API_KEY and the skill will store it in the agent's config — do not paste that key into chat messages. 2) The skill will install a third-party CLI ('sparki-cli') via the 'uv' tool — verify you trust that package source (review sparki-cli on PyPI or the vendor). 3) Videos and metadata will be uploaded to Sparki's service (network access declared for agent-api.sparki.io) and outputs are written to $HOME/.openclaw/workspace/sparki/videos; if your videos contain sensitive information, confirm Sparki's privacy/storage policy first. 4) The SKILL.md requires you to run sparki doctor and to check version consistency — follow that step to avoid running commands from a stale skill description. If you want extra assurance, request the sparki-cli package provenance (PyPI link or GitHub repo) and confirm the network domain and data retention policy before proceeding.
Capability Analysis
Type: OpenClaw Skill
Name: sparki-video-editor
Version: 1.1.0
The sparki-video-editor skill provides a structured interface for an AI video editing service. It installs the 'sparki-cli' tool via 'uv' and communicates with 'agent-api.sparki.io'. The requested filesystem permissions are limited to specific workspace and configuration directories, and the instructions in SKILL.md are focused on operational reliability, version consistency, and user workflow. No evidence of malicious intent, data exfiltration, or unauthorized execution was found.
Capability Tags
Capability Assessment
Purpose & Capability
Name/description (AI video editor) align with what the skill does: it runs a sparki CLI, uploads local or Telegram-mini-app videos, polls for tasks, and downloads results. The declared primaryEnv (SPARKI_API_KEY), required binary (uv), and declared FS/network permissions match expected needs for invoking a remote video-editing service and storing outputs.
Instruction Scope
SKILL.md instructs the agent to run sparki CLI commands (doctor, setup, upload-tg, assets list, edit, status, download) and to check CLI version before running commands. It also instructs reading local files ($CWD) and writing to agent config and its workspace for video outputs. Those actions are reasonable for local-file upload and CLI configuration, but they do grant the skill access to the working directory and to writing into $HOME/.openclaw; users should be aware that videos and related metadata will be transmitted to Sparki's service.
Install Mechanism
This is instruction-only but includes an installation step using the 'uv' tool: 'uv tool install --upgrade sparki-cli'. That will install the sparki-cli tool (likely from PyPI) into uv's tool bin. Installing a third-party CLI at runtime is expected for this skill but is a moderate-risk action because it executes code obtained from external package repositories; this is proportional to the skill's functionality but worth noting.
Credentials
Only one credential is declared: SPARKI_API_KEY (the primary credential). The SKILL.md explicitly guides obtaining the key from the Sparki Telegram bot and using 'sparki setup --api-key <KEY>'. No unrelated secrets or high-privilege env variables are requested. The skill will store config under $HOME/.openclaw, which is expected for CLI auth storage.
Persistence & Privilege
always is false and the skill does not request permanent platform-wide presence. It writes to its own agent config/workspace paths (permitted) and does not modify other skills or system-wide settings. Autonomous invocation is allowed by default (not flagged by itself).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sparki-video-editor - After installation, invoke the skill by name or use
/sparki-video-editor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
sparki-cli now installs from PyPI.
New commands: sparki doctor, sparki assets delete.
upload / edit / run accept positional files / object-keys, plus --dir for directory scans.
Style catalog restructured to 4 categories (Vlog / Clips / Narrative / Tools).
Error handling information updated.
v1.0.8
Support update.
v1.0.7
Updated metadata.
v1.0.6
New Features
Style-Clone mode — clone editing styles from a reference video.
v1.0.5
Sparki AI Video Editor
v1.0.4
- Updated API domain in skill metadata from agent-api-dev.aicoding.live to agent-api.sparki.io
- No user-facing command or flow changes
- Internal metadata adjustment to production API endpoint
v1.0.3
AI-powered video editing — turn raw footage into polished vlogs, highlight reels, TikTok/Shorts/Reels, montages, and more. Control the editing flow through Telegram chat, or let your ClawBot handle it automatically. Pick a style and let Sparki handle the rest, or describe what you want in your own words.
v1.0.1
Sparki AI Video Editor
v1.0.0
First release of the Sparki Video Editor skill for OpenClaw.
Features
- CLI with full command set: setup, upload, upload-tg, assets, edit, status, download, history, run
- End-to-end workflow (sparki run): upload, edit, poll, download in a single command
- Two editing modes: Style-Guided (pick from style catalog) and Prompt-Driven (natural language description)
- Style catalog: 20 styles across 7 categories (Vlog, Montage, Commentary, Talking Head, Long-to-Short, AI Caption, Video Resizer)
- Telegram Mini App integration: upload-tg command returns the Mini App upload link for uploading via Telegram
- Structured JSON output: all commands return {"ok": true/false, "data": ..., "error": ...} for reliable AI parsing
- Configuration management: API key stored in ~/.openclaw/config/sparki.json with environment variable override (SPARKI_API_KEY)
- Local project history: tracks recent task IDs for quick history lookups
- SKILL.md dispatch document: complete instructions for OpenClaw bot to guide users through video editing workflows
Metadata
Frequently Asked Questions
What is Video Editor Sparki?
AI video editor for creators. Transform raw footage into polished vlogs, talking-head videos, or social media content (TikTok/Shorts/Reels). Control the work... It is an AI Agent Skill for Claude Code / OpenClaw, with 325 downloads so far.
How do I install Video Editor Sparki?
Run "/install sparki-video-editor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Editor Sparki free?
Yes, Video Editor Sparki is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Editor Sparki support?
Video Editor Sparki is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, windows).
Who created Video Editor Sparki?
It is built and maintained by Sparki (@sparki-io); the current version is v1.1.0.
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