メニュー
このリポジトリの skills
SkillsMP は opendatahub-io/ai-helpers から 70 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
opendatahub-io/ai-helpers収集済み skill 70 件中 30 件を表示しています。
Given a component name, generate a complete standalone ODH module operator repository. Produces Go module, CRD types implementing PlatformObject, controller skeleton with reconciler builder pattern, Helm chart, Makefile, CI config, singleton webhook, and…
原文の言語: 英語
Resolve the full install-time dependency tree for a Python package. Use when the user needs all transitive dependencies, full dependency list, or install requirements resolved for a specific Python version with environment markers.
原文の言語: 英語
Scan a Python package repository for compiled/binary files using Fromager-style detection and malcontent YARA analysis, then triage findings with deterministic rules and AI reasoning to produce a structured risk report section.
原文の言語: 英語
Use when you need to find known packaging bugs, fixes, and workarounds for Python projects by searching GitHub issues and analyzing their resolution status
原文の言語: 英語
Use this skill to analyze Python package build complexity by inspecting PyPI metadata. Evaluates compilation requirements, dependencies, distribution types, and provides recommendations for wheel building strategies.
原文の言語: 英語
Use this skill to investigate environment variables that can be set when building Python wheels for a given project. Analyzes setup.py, CMake files, and other build configuration files to discover customizable build environment variables.
原文の言語: 英語
Inspect recent git history of a Python package repository for suspicious commits touching supply-chain-sensitive files, then triage findings with AI reasoning to produce a structured risk report section.
原文の言語: 英語
Use this skill to check whether a Python package license is compatible with redistribution in Red Hat products, using the Fedora License Data as the authoritative policy source. Produces a structured six-field verdict with escalation guidance for non-trivial…
原文の言語: 英語
Use this skill to deterministically find license information for Python packages by checking PyPI metadata first, then falling back to Git repository LICENSE files using shallow cloning.
原文の言語: 英語
Use this skill to evaluate the security of a Python package repository by orchestrating static analysis, binary scanning, and git history inspection sub-skills in parallel, then combining their results into a unified security report with a risk rating.
原文の言語: 英語
Use this skill to locate source code repositories for Python packages by analyzing PyPI metadata, project URLs, and code hosting platforms like GitHub, GitLab, and Bitbucket. Provides deterministic results with confidence levels.
原文の言語: 英語
Run hexora static analysis on a Python package repository to detect suspicious code patterns, then triage findings with deterministic rules and AI reasoning to produce a structured risk report section.
原文の言語: 英語
Analyze PyTorch internals across Python, C++, and CUDA layers using the TorchTalk MCP server. Use when asked about how PyTorch operators work internally, where functions are implemented, what would break if code is modified, or finding tests for PyTorch…
原文の言語: 英語
Install and configure TorchTalk MCP server for PyTorch cross-language analysis
原文の言語: 英語
Trace a PyTorch function's cross-language binding chain (Python -> C++ -> CUDA)
原文の言語: 英語
Use this skill to identify non-Red Hat RPM packages installed in container images or on the local machine. For containers, pulls images across multiple architectures and release tags; for local scans, inspects the host directly. Extracts RPM signing metadata…
原文の言語: 英語
Analyze RPM build.log failures
原文の言語: 英語
Use this skill to compare CVE vulnerabilities between two OCI container images and generate reports showing fixed and new CVEs.
原文の言語: 英語
Use this skill to filter a pre-fetched set of Hacker News stories down to those that report supply-chain security threats relevant to the Red Hat / RHEL ecosystem, Python (PyPI/pip), or JavaScript/TypeScript (npm/yarn/pnpm). Reads stories from stories.json in…
原文の言語: 英語
Use when a release delay, missed deadline, or delivery incident needs a structured post-mortem. Facilitates context gathering, timeline synthesis, and interactive Five Whys root cause analysis. Produces an executive-ready document in HTML or Markdown.
原文の言語: 英語
Generate an engineer activity snapshot showing active JIRA issues with days open, blocked work, upstream PRs awaiting review, recently merged PRs, and open action items from 1:1 notes. Requires a team config YAML file. Use when the user asks to review an…
原文の言語: 英語
Generate a weekly team status report combining JIRA and GitHub data. Fetches closed, open, stale, and blocked issues plus PR activity for each team member. Requires a team config YAML file with JIRA project, GitHub repos, and team member mappings. Use when…
原文の言語: 英語
Check which candidate PRs have already been cherry-picked into the downstream branch. Use after classify-and-filter to mark already_backported on each PR. Fully deterministic — compares merge SHAs and PR titles.
原文の言語: 英語
Auto cherry-pick backport candidates and create a draft PR on the downstream repo. Use after scoring to attempt clean cherry-picks for ai-fixable candidates. The agent must still do semantic validation on the result.
原文の言語: 英語
Classify bugfix PRs by type (runtime_bug, platform_specific, unclear, not_bugfix) and filter by file existence at a release tag. Use after fetching raw PRs to produce a filtered candidate list. PRs marked "unclear" need agent review.
原文の言語: 英語
Fetch merged bugfix PRs from vllm-project/vllm within a date window. Use when starting a backport triage run to get raw PR data from GitHub. Outputs a JSON array of PR objects with labels, authors, and merge commits.
原文の言語: 英語
Push a triage report to GitHub under a timestamped directory in reports/. Use after the agent writes the report markdown and has ranked.json ready. Outputs the report URL to stdout.
原文の言語: 英語
Score and rank backport candidates using a composite formula based on verdict, severity, scope, risk, and self-containedness. Use after the agent completes semantic analysis to produce a prioritized ranked list.
原文の言語: 英語
Use this skill to compare vllm requirements files between versions
原文の言語: 英語
Use this skill to generate slack summaries of vLLM CI SIG Slack channel activity for the RHAIIS midstream release team
原文の言語: 英語