TAAC Competition Environment
SkillDocs & knowledgeSet up or diagnose TAAC Python/CUDA environments, or change online bundle packaging and execution.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the TAAC Competition Environment skill
What this skill tells your AI
The instructions your AI receives, as published by puiching-memory/taac_2026 in .agents/skills/taac-competition-environment/SKILL.md and read by ahel’s review.
Choose the affected boundary before reading implementation details:
- Local dependencies or CUDA setup: getting started
and the relevant dependency/profile in
pyproject.toml. - Platform Python, CUDA, proxies, or package indexes: online environment.
- Bundle contents, bootstrap, or local/platform runner differences: bundle format and execution.
Use these guides' source entrypoints to follow the affected behavior. Ordinary
local commands use the uv run convention in AGENTS.md without needing this
workflow.
For bundle changes, inspect the generated archive and exercise the affected entrypoint outside the repository import context. A successful import at the repository root can conceal missing packaged files or local dependencies. Build, inspection, and platform simulation commands live in the bundle guide; test selection lives in the testing guide.
Signals
- GitHub stars
- 315
- Forks
- 63
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
taac-competition-environment- Source
- github.com/puiching-memory/taac_2026