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SkillsMP has collected 8 skills from opendatahub-io/python-package-skills. Open a skill to review its source and details.
Showing 8 of 8 collected skills.
Use when a Python package needs to be onboarded into the fondue monorepo (builder/ and/or rhai-pipeline/). Analyzes package information, AI packaging analysis, and optional build failure details to configure the package, then creates one or two git commits…
Use when you need a concise 2-3 line plain-prose summary of a package onboarding outcome for reporting or ticket updates. Summarizes the build result, root cause of any failure, and key next step.
Use when a Python package build has failed in the RHAI pipeline and you need root-cause analysis. Reads the failure log excerpt and package context, diagnoses the root cause, and writes a structured analysis report.
Use when you need to extract actionable requirements, decisions, and blockers from Jira ticket comments for a Python package onboarding request. Produces a structured summary with four sections.
Use when a Python package needs a security audit before RHAI pipeline onboarding. Triages pre-computed scan outputs and optional source URL, then writes a Markdown report and machine-readable risk verdict.
Use when a Python package needs enterprise packaging investigation before RHAI distribution — covering build system, native dependencies, platform support, and packaging strategy. Produces a Markdown analysis and a machine-readable complexity verdict.
Use when assessing whether a Python package's license permits redistribution in Red Hat's AI package distribution pipeline (RHAI). Reads package context, identifies the SPDX license, and writes a structured compatibility verdict.
Use when probe tests need to be created for a Python package in the wheels-test repository. Analyzes package information, AI packaging analysis, and Jira context to determine test cases, then creates a git commit.