Guides post-recording verification and handoff: log archive assembly, video file validation, output completeness checks, and readiness assessment for downstream log processing. Use after stopping a video session to verify outputs before processing frame timestamps.
EnglishApplies pyproject.toml conventions when creating or modifying pyproject.toml files. Covers section ordering, metadata fields, dependency specifications, tool configurations (ruff, mypy, coverage, hatch), and classifier templates. Use when creating a new project, modifying an existing pyproject.toml, adding dependencies, or when the user asks about pyproject.toml conventions.
EnglishIncludes Post Recording and Pyproject Style.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Post Recording
Guides post-recording verification and handoff: log archive assembly, video file validation, output completeness checks, and readiness assessment for downstream log processing. Use after stopping a video session to verify outputs before processing frame timestamps.
Pyproject Style
Applies pyproject.toml conventions when creating or modifying pyproject.toml files. Covers section ordering, metadata fields, dependency specifications, tool configurations (ruff, mypy, coverage, hatch), and classifier templates. Use when creating a new project, modifying an existing pyproject.toml, adding dependencies, or when the user asks about pyproject.toml conventions.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
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Try it with your agent
After installation, start with a request like:
Use the Post Recording skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
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- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: GPL-3.0. The author’s terms apply.