Higgsfield Video Explainer — Agent Skill by Higgsfield AI

From the author

Compatibility entry for the former video explainer skill. Use when: the user explicitly invokes higgsfield-video-explainer or continues its existing workflow. NOT for: new generic explainer requests, ads, single clips, or unrelated video edits.

— the description by Higgsfield AI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill serves as a compatibility layer for users interacting with legacy Higgsfield video explainer workflows. It is designed to route requests to the appropriate modern skill, ensuring that existing project contexts and user preferences are preserved during the transition. It acts as a redirect mechanism rather than a standalone content generation tool.

What it does

Redirects legacy video explainer requests to the current Higgsfield workflow.
Maintains continuity for ongoing video projects.
Validates the presence of required modern Higgsfield skills.
Prompts users to update or install necessary packages if dependencies are missing.

When to use it

When a user explicitly invokes the legacy higgsfield-video-explainer command.
When continuing a video project started under the previous skill version.

Advantages

Ensures seamless transition between legacy and modern skill versions.
Prevents loss of user context and project history.
Provides clear instructions for environment setup.

Usage examples

“higgsfield-video-explainer about quantum computing”: The agent identifies the request as a legacy call and routes it to the modern Higgsfield faceless video workflow while maintaining the topic context.

Install

Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/higgsfield-ai/higgsfield-video-explainer/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip higgsfield-video-explainer.zip -d .agents/skills

Documentation by Higgsfield AI

Video explainer

Use the higgsfield-faceless-video skill for this request and select its illustrated explainer workflow. Preserve the user's inputs and choices. If that skill is not installed, ask the user to update or install the current Higgsfield skills package before generating any assets. Do not use explainer_video or video_explainer.

Files

ATTRIBUTION.mdAdded by AutoGineer892 B
LICENSELicence file added by AutoGineer1.0 KiB
SKILL.md768 B

ATTRIBUTION.md

Attribution

This folder is an unmodified copy of the Agent Skill "higgsfield-video-explainer", distributed by AutoGineer (https://autogineer.com/agent-skills).

Source: https://github.com/higgsfield-ai/skills/tree/27000402070db19d958789d05b3b52b6f4718d7c/higgsfield-video-explainer
Commit: 27000402070db19d958789d05b3b52b6f4718d7c
Published by: Higgsfield AI (https://github.com/higgsfield-ai)
Publisher: Higgsfield AI (https://github.com/higgsfield-ai)
Licence: MIT License (https://github.com/higgsfield-ai/skills/blob/27000402070db19d958789d05b3b52b6f4718d7c/LICENSE)
Licence evidence: repository licence LICENSE
Retrieved: 2026-11-07

The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.

Files added by AutoGineer

ATTRIBUTION.md: this file, written by AutoGineer
LICENSE: copied from LICENSE

Requirements and compatibility

Written for: Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools, Claude Code frontmatter

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Handoff
Matt Pocock· Community
Generates a concise handoff document to facilitate seamless transitions between AI agents.
Agent toolingClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository317.5k
Chief Of Staff
Matt Pocock· Community
A strategic orchestration agent that manages long-term goals by coordinating subagents and maintaining a persistent knowledge wiki.
Agent toolingClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository317.5k
Ask Matt
Matt Pocock· Community
A central routing skill that helps you identify the correct agent skill or workflow for your current situation.
Agent toolingClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository317.5k
Claude Handoff
Matt Pocock· Community
Seamlessly transfer your current conversation context to a new background agent.
Agent toolingClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository317.5k
Executing Plans
Jesse Vincent (obra)· Community
Execute implementation plans inline without subagents, maintaining rigorous progress tracking and verification.
Agent toolingClaude CodeClaude appsOpenAI Codex+14 more
MITLow riskHas scriptsGitHub stars of the source repository314k
Using Superpowers
Jesse Vincent (obra)· Community
A mandatory protocol for AI agents to identify and invoke relevant skills before performing any task or responding to user input.
Agent toolingClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository314k