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Talking-head Editor
by
fischerlam
· GitHub ↗
· v1.0.12
· MIT-0
206
Downloads
0
Stars
0
Active Installs
7
Versions
Install in OpenClaw
/install talking-head-editor
Description
Scenario-focused Sparki skill for presenter-led and talking-head edits while using the latest official Sparki setup, API-key, and upload workflow guidance.
Usage Guidance
This skill appears to do what it says: a Sparki CLI for uploading local videos and managing edit jobs on agent-api.sparki.io. Before installing, consider: (1) Only provide a Sparki API key (SPARKI_API_KEY) you trust — the key grants the skill access to your Sparki account and uploads video files to Sparki's servers. (2) The skill will create and update ~/.openclaw/config/sparki.json and save downloaded videos to ~/.openclaw/workspace/sparki/videos; if you want to control where files land, set the config or run in a sandboxed environment. (3) The install step invokes a local 'uv sync' command — ensure 'uv' is the expected sync tool in your environment. (4) If you need to avoid sending videos to the default host, override the base_url (the code supports configuring base_url). If any of these behaviors are unexpected, review the included source files or test in an isolated environment first.
Capability Analysis
Type: OpenClaw Skill
Name: talking-head-editor
Version: 1.0.12
The skill is a legitimate CLI wrapper for the Sparki AI video editing service. It facilitates video uploads, project status tracking, and downloading processed files from 'agent-api.sparki.io'. The code (cli.py, client.py) follows standard practices, using well-known libraries like httpx and typer, and limits file system access to specific configuration and workspace directories (~/.openclaw) as declared in the SKILL.md permissions.
Capability Assessment
Purpose & Capability
Name/description, included CLI code, and required network host (agent-api.sparki.io) all align with a Sparki-focused talking‑head video editor. The only mild oddity is the declared required binary 'uv' (used for a 'uv sync' install step) — this appears to be an environment/tooling step rather than core editing functionality but is reasonable for a skill that expects a sync tool.
Instruction Scope
Runtime instructions and the CLI code operate within the expected domain: validating an API key, uploading local video files, creating projects, polling status, and downloading results. File and network accesses are scoped to local project files and the Sparki API. The skill explicitly forbids accepting raw video attachments in chat and documents the supported upload flows.
Install Mechanism
No external downloads or extract steps are used. The SKILL.md lists a single install action invoking the local 'uv sync' command; this is low-risk compared to arbitrary URL downloads. The package includes Python source and a pyproject listing standard dependencies (typer, httpx, pydantic) — nothing pulls code from unusual hosts.
Credentials
Primary credential SPARKI_API_KEY is appropriate and used by the code. The code also optionally reads SPARKI_UPLOAD_TG_LINK for a Telegram upload link; that environment var is not explicitly listed in the skill's requires.env block (minor mismatch). No unrelated secrets or cloud credentials are requested.
Persistence & Privilege
always is false and the skill does not request global/other-skills config access. It reads/writes its own config file (~/.openclaw/config/sparki.json), saves history to the same config dir, and writes downloads to its workspace (~/.openclaw/workspace/sparki/videos) — these are proportional to its functionality.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install talking-head-editor - After installation, invoke the skill by name or use
/talking-head-editor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.12
Improved engagement-oriented positioning with a stronger result-focused summary, one-copy quick start command, prompt templates, and related-skill cross-links while keeping the official shared Sparki core workflow.
v1.0.11
Tightened the opening trigger and example requests so this scene skill is more vertical and better aligned to user intent, while keeping the official shared Sparki core workflow.
v1.0.10
Refreshed this scene skill to align its shared setup, API-key, upload, and command guidance with the latest official sparki-video-editor skill while preserving its scenario-specific positioning.
v1.0.9
Refreshed this scene skill to align its shared setup, API-key, upload, and command guidance with the latest official sparki-video-editor skill while preserving scene-specific positioning.
v1.0.8
Updated the default API endpoint to the official Sparki domain https://business-agent-api.sparki.io and aligned docs/scripts accordingly.
v1.0.7
Re-released as a cleaned English-only update. Fixed metadata alignment and standardized configurable API base usage.
v1.0.6
Published a scenario-specific skill focused on talking-head video editing, built on the cleaned Sparki video workflow.
Metadata
Frequently Asked Questions
What is Talking-head Editor?
Scenario-focused Sparki skill for presenter-led and talking-head edits while using the latest official Sparki setup, API-key, and upload workflow guidance. It is an AI Agent Skill for Claude Code / OpenClaw, with 206 downloads so far.
How do I install Talking-head Editor?
Run "/install talking-head-editor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Talking-head Editor free?
Yes, Talking-head Editor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Talking-head Editor support?
Talking-head Editor is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created Talking-head Editor?
It is built and maintained by fischerlam (@fischerlam); the current version is v1.0.12.
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