agentleFS
getedgehqgetedgehq/skills/ai-dna/SKILL.md

ai-dna

Skill5 starsChanged 11 days agoApache-2.0View on GitHub

Turn your own local ChatGPT, Claude Code, and Codex conversation history into a 4:5 AI DNA helix still and 12-second film. Use when someone asks to make or share their AI DNA from their chat history.

  • Installs packages

The file

Files
SKILL.md

Make my AI DNA

Edge turns your own AI conversations into a luminous helix: one rung per conversation and one dot per message. The default path uses only local files, Python packages, and ffmpeg. It makes no network or model call.

Run

Install Python 3, ffmpeg, and the local Python packages:

python3 -m pip install numpy scipy pillow
ffmpeg -version

From this skill folder, pass every history source you have. ChatGPT accepts its export zip or conversations.json; Claude Code and Codex accept their session directory roots. Omit a source you do not have.

python3 scripts/make.py \
  --chatgpt ~/Downloads/chatgpt-export.zip \
  --claude-code ~/.claude/projects \
  --codex ~/.codex/sessions \
  --output ~/my-ai-dna

With no source flags, the script scans ~/.claude/projects and ~/.codex/sessions. ChatGPT exports need an explicit --chatgpt path. Repeat any source flag to include more paths. --preview creates a 540×675 still and the same 12-second film at 540×676 and 12 fps for a quicker review. The extra film pixel keeps H.264 dimensions even. Full output is 1080×1350 at 30 fps. Use a new or previously generated AI DNA output folder; the script refuses a nonempty folder it does not own. The still is hero.png; the film is pure.mp4. dna.json, frames, and a count/timing summary also stay in the chosen output folder.

For a quick first look:

python3 scripts/make.py --chatgpt ~/Downloads/conversations.json --preview --output ~/my-ai-dna-preview

The film features up to three of your longest conversations. To pick your own, create a local stops.json with one to three entries, each matching the start of a conversation title:

[
  {"title":"My garden plan", "label":"The garden takes shape"},
  {"title":"Learning Spanish", "label":"A new language"}
]

Pass --stops stops.json. Labels and chronological era names are derived locally from your titles. No Federico-specific topic names or music are bundled.

Privacy and extras

Titles can reveal private names, projects, and questions. Read the still and film before sharing them. --hide-titles replaces the visible stop and era labels with neutral labels; it is off by default so the personal story is visible. The local dna.json still contains titles, so do not publish that file unless you intend to share them. If you add a face, its raw frames are temporary and removed when the render ends. History text never leaves your laptop in the default workflow.

Add --face ~/portrait.jpg or --face ~/short-face-video.mp4 for an optional 18-second intro.mp4. Center the face in a 4:5 crop; a simple oval mask draws it in message dots before they fly into the helix. Add --music ~/music.mp3 to mix your own licensed audio into the films. Without it, films are silent. Add --skip-film to generate just data and a still. For existing locally extracted conversations, --conversations-jsonl path accepts the normalized format produced by scripts/extract.py.

A preview takes roughly 1–3 minutes for a few thousand messages on a normal laptop. Full 30 fps rendering is CPU and memory heavy; allow tens of minutes for a large history. Render time grows with message count, image size, and CPU speed. If an input is empty or absent, the script reports the condition rather than generating a generic DNA.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.