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This collection provides structured AI skills for marketers and growth engineers to move beyond intuition. It focuses on automating the iterative process of content optimization, from generating high-volume copy variants to implementing closed-loop analytics.
WHO IT'S FOR
Growth Marketers
optimizing landing pages and conversion rates
Content Strategists
scaling content production and evaluation
SEO and AEO Specialists
implementing closed-loop analytics for search visibility
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Follow the documented setup, then try a first task.
Agentic Video Understanding for Claude Code
Installs: Installs the Agentic video understanding skill entry file only. · Claude Code
Before you start
A local checkout of the repository
Gemini API access or Google AI Studio access
GEMINI_API_KEY or an existing Google AI credential
Run from: The Claude Code project where the skill will be used
Set `GEMINI_API_KEY` using your Gemini API key, or configure the project's existing Google AI credential. The source does not document a shell command for this step.
From the local repository checkout, place `agentic-video-understanding/SKILL.md` in the project's `.claude/skills/` directory.
Installs: Installs the complete Content Eval skill directory, including its reference files. · Claude Code
Before you start
A local checkout of the repository
Claude Code
Run from: The Claude Code project where the skill will be used
Copy the complete `content-eval` directory from the repository into the Claude Code skills folder.
Before first use, edit `references/pillars.md` with the actual messaging pillars, `references/competitors.md` with competitor YouTube channels, and `references/voice-rules.md` with the brand voice rules.
Installs: Installs the complete `yt-competitive-analysis` skill directory so its analysis script remains available with SKILL.md. · Claude Code
Before you start
A local checkout of the repository
A YouTube Data API v3 key configured as YOUTUBE_API_KEY
Run from: The Claude Code project where the skill will be used
Set `YOUTUBE_API_KEY` to your YouTube Data API v3 key. The source does not document a shell command for setting it.
Copy the complete `yt-competitive-analysis` directory from the repository into the project's `.claude/skills/` directory, retaining its scripts and SKILL.md together.
Installs: Installs the complete Net-New Video Editor directory, including its renderer, references, and SKILL.md. · Claude Code
Before you start
A local checkout of the repository
Python 3 available as `python3`
FFmpeg
A clearly identified destination project and user-authorized source recordings
Run from: The Claude Code project where the skill will be used
Copy the complete `net-new-video-editor` directory from the repository into the project's `.claude/skills/` directory so its scripts, references, and SKILL.md remain together.
A media URL or readable local media path replacing `[URL or local media path]`
Gemini API or Google AI Studio access
GEMINI_API_KEY or an existing Google AI credential
Use the Agentic video understanding skill on `[URL or local media path]`. Goal: `exact next-step commitment and any pricing pushback`. Use the default automatic modality, return at most five ranked moments with timestamps, quotes, rationale, and confidence, and perform no editing, publishing, messaging, or CRM updates.
Two YouTube channel handles replacing the bracketed placeholders
A YouTube Data API v3 key configured as YOUTUBE_API_KEY
Use the yt-competitive-analysis skill to analyze `[YouTube handle 1]` and `[YouTube handle 2]` over the last 30 days. Report videos at or above the documented 2x outlier threshold, recurring title patterns, and each channel's posting cadence. Do not publish or change either channel.
Use the net-new-video-editor skill to initialize and inspect `[project directory]` using only the authorized recordings, transcript, brief, and proof assets at `[input paths]`. Review `intake-report.json`, summarize missing or invalid inputs, and stop before building an edit plan, rendering, uploading, or publishing.