ai-festival-poster
Skill5 starsChanged 14 days agoApache-2.0View on GitHub
Turn someone's real AI usage into a desert festival lineup poster, painted in Python. Scans local Claude Code and Codex session logs (plus an optional ChatGPT export), counts the sessions in which each tool, model and MCP server was actually used, books the most-used as headliners across three days (Build, Think, Create), and paints a dusk scene with brush strokes. No image model and no invented acts or numbers. Use for "make my AI festival poster", "Instafest for my AI tools", "my AI usage as a lineup".
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
Real data only: Every act comes from scan_usage.py counts.
- Very specific: line 23
Privacy check before sharing: Look at the act list: MCP server or tool names can reveal clients or private projects.
- Distinctive: line 34
Look at the poster. If a day has few acts or a line wraps awkwardly, you may move acts between days (say so) but never change a count.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Festival Poster
A lineup poster where every act is a tool the person really used, billed by how often.
Rules
- Real data only. Every act comes from
scan_usage.pycounts. Never add a tool, model or number by hand; never estimate usage from spend. Acts under--minsessions (default 3) are dropped. - Local only. The logs never leave the machine. Do not paste log contents into chat; report counts.
- No image model. The background is painted by
scripts/pp(stroke-based painter) from a scene built in code: dusk sky, low sun, ridges, a Ferris wheel, tents, palms, field lights. - Privacy check before sharing. Look at the act list: MCP server or tool names can reveal clients
or private projects. Ask before keeping any that look private; drop them by setting
"verified": false.
Steps
python3 scripts/get_fonts.py(Anton, Archivo Narrow, Inter; SIL OFL, downloaded once).python3 scripts/scan_usage.py [--chatgpt-export ~/Downloads/chatgpt-export.zip] --out usage.jsonprints the act list per day. Show it to the user and apply the privacy check.python3 scripts/render_poster.py --usage usage.json --presenter "<Name>" --dates "<MON YYYY> TO <MON YYYY>"writesout/poster-1080x1350.png(4:5, feed size) andout/poster-2160x2700.png. About 2 minutes on a desktop CPU;--underpreviews the scene in seconds.- Look at the poster. If a day has few acts or a line wraps awkwardly, you may move acts between days (say so) but never change a count. Dates: first and last month of the logs you scanned.
How billing works
Each day: a boxed day label, one headliner (most sessions), then full-width lines of 3, 4 and 6 acts, then the rest. Each line is sized to fill the width, like a real festival bill. Categories: BUILD (coding agents, dev infrastructure), THINK (chat assistants, models, research tools), CREATE (media and publishing tools). Unknown MCP servers default to THINK.
Dependencies
Python 3 with NumPy, SciPy and Pillow.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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