josephtandle

Reel Maker — Communication skill for Claude Code

Communication community

Agent Skill for Claude Code and Codex: turn a long Zoom call or talk into 3-5 Instagram Reels with the full picture over a blurred background, animated hook and word-highlighted captions.

How to install Reel Maker

This entry records only its repository, not the path inside it, so there is no exact command to give. Open josephtandle/reel-maker and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Reel Maker does

Agent Skill for Claude Code and Codex: turn a long Zoom call or talk into 3-5 Instagram Reels with the full picture over a blurred background, animated hook and word-highlighted captions. Tested, self-checking, MIT.

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README

reel-maker

Turn a Zoom call, webinar or talk into 2–5 Instagram Reels that give viewers a reason to want what you sell. An Agent Skill for business owners using Claude Code or Codex.

**Before:** a long recording with valuable moments buried inside it. **After:** short vertical videos with the whole original picture over a blurred background, an animated hook, word-highlighted captions, a progress bar and optional branding. You also get post copy, ten scored candidate moments, a contact sheet and a per-reel test report. Nothing is uploaded or posted.

Download this repository, then paste a setup request into your chat:

**Claude Code**

Install the reel-maker skill from this downloaded repository into ~/.claude/skills/reel-maker. Copy only its reel-maker folder. Read SKILL.md, check the tools, and help me turn my recording into reels. Ask me before any whole-computer installation.

**Codex**

Install the reel-maker skill from this downloaded repository into ~/.agents/skills/reel-maker. Copy only its reel-maker folder. Read SKILL.md, check the tools, and help me turn my recording into reels. Ask me before any whole-computer installation.

Then say: “Turn this video into reels,” and provide the recording's local file path and, if available, its VTT/SRT transcript. The agent reads the whole transcript, scores ten moments and chooses the strongest non-overlapping excerpts. You can choose another saved candidate and ask it to re-render that number.

Requirements: Python 3.9+ (3.10+ recommended), Pillow 10.1+, ffmpeg with an H.264 encoder and ffprobe. A matching attached transcript avoids full-recording transcription after a 60-second audio overlap check. Selected-window alignment and final machine listening still use local faster-whisper (or mlx-whisper on Apple Silicon); initial model setup needs internet; alignment/verification use cached models only and report NEEDS_REVIEW when unavailable. Tools are installed in a local venv where possible. imageio-ffmpeg is an