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New-skill template, used to quickly fill in the name, use cases, flow, boundary, and output format.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Used for high-quality experiment reports, analysis reports, and technical summaries. Evidence must be enough, charts must be real, structure must be clear, and empty talk is forbidden.
Open several fundamentally different routes for one problem fast, so the flow does not keep doing small tweaks on one path only.
Split a complex problem into a multi-step reasoning chain, and make key assumptions, branch points, validation order, and rollback points explicit.
Manual start skill: read `.opencode/` first, then read the task files at the project root and start execution. It is like replacing the first prompt line.
Built-in Python tool priors covering time series, statistics, machine learning, and related ecosystems. It reduces repeated search cost and gives the first coverage of method families and tool families.
In time-series, deep-learning, and LLM projects, use ztxexp to unify experiment config, batch runs, result tracking, ablation analysis, and failure diagnosis.
Basé sur la classification professionnelle SOC
| name | template |
| description | New-skill template, used to quickly fill in the name, use cases, flow, boundary, and output format. |
[Skills: template] Follow: <rules / context constraints that really apply now>; Current step: <one-line note>.[Rules: <rule>] ..., then continue with the real work.when it triggers first, then how it works.