cl-editor is the master router for the ContentLead video editor's local HTTP API. Install it once and your agent can add scenes, cut clips, retime audio, generate captions, render, and everything else — 27 sub-skills cover every area of the timeline.
The AI agent talks to your local desktop app to make edits. Install it once — you can skip this if it's already running.
Pick the AI you use. The command installs the "cl-editor" skill so your agent knows how to control this part of the app.
copilot skill add https://raw.githubusercontent.com/Shubham-vish/contentlead/main/skills/cl-editor/SKILL.mdgit clone https://github.com/Shubham-vish/contentlead.git && copilot skill add ./contentlead/skillsOpen your AI in the terminal (or your IDE), then paste any of these prompts to try it.
Make sure ContentLead Desktop is running. It writes port + token to ~/.skilltown-desktop/api.json every launch — the skill's startup protocol reads that first. Port changes each restart.
With >1 tab open, every /api/execute call must include an explicit tabId. Ask the agent to load the multi-tab sub-skill, or close unused tabs.
Track 0 is the FRONT layer. If your text is on Track 2 and a video is on Track 0, the video hides it. Ask the agent to reorder tracks or use the track-management sub-skill.
No. cl-editor is the master router — load it, then the agent loads specific sub-skills lazily as tasks require.