issue — python uv-sbom, community, python, ide skills, sbom-generator, sbom-tool, Claude Code, Cursor, Windsurf

v1.0.0

关于此技能

Perfect for Development Agents needing standardized GitHub issue creation and management. Generate SBOMs for Python projects managed by uv.

# 核心主题

Taketo-Yoda Taketo-Yoda
[3]
[0]
更新于: 3/25/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
31
Canonical Locale
ja
Detected Body Locale
ja

Perfect for Development Agents needing standardized GitHub issue creation and management. Generate SBOMs for Python projects managed by uv.

核心价值

Empowers agents to create GitHub issues with consistent formatting and sufficient technical detail using Markdown templates, supporting autonomous implementation and enabling efficient collaboration on projects managed by tools like uv, with features like SBOM generation for Python projects.

适用 Agent 类型

Perfect for Development Agents needing standardized GitHub issue creation and management.

赋予的主要能力 · issue

Automating bug report creation with detailed steps to reproduce
Generating feature request issues with proposed solutions and technical implementation details
Streamlining documentation updates through standardized issue templates

! 使用限制与门槛

  • Requires GitHub CLI access
  • Issues must be written in English
  • Limited to GitHub issues, not adaptable for other platforms without modification

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

issue 是什么?

Perfect for Development Agents needing standardized GitHub issue creation and management. Generate SBOMs for Python projects managed by uv.

如何安装 issue?

运行命令:npx killer-skills add Taketo-Yoda/uv-sbom/issue。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

issue 适用于哪些场景?

典型场景包括:Automating bug report creation with detailed steps to reproduce、Generating feature request issues with proposed solutions and technical implementation details、Streamlining documentation updates through standardized issue templates。

issue 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

issue 有哪些限制?

Requires GitHub CLI access;Issues must be written in English;Limited to GitHub issues, not adaptable for other platforms without modification。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add Taketo-Yoda/uv-sbom/issue。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    issue 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Imported Repository Instructions

The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.

Supporting Evidence

issue

Generate SBOMs for Python projects managed by uv.

SKILL.md
Readonly
Imported Repository Instructions
The section below is supporting source material from the upstream repository. Use the Killer-Skills review above as the primary decision layer.
Supporting Evidence

/issue - Issue Creation Skill

Create GitHub Issues with consistent formatting and sufficient technical detail for autonomous implementation.

Language Requirement

IMPORTANT: All GitHub Issues MUST be written in English.

  • Issue title: English
  • Issue body: English
  • Labels: English
  • Comments: English

Steps

1. Read Issue Guidelines (MANDATORY)

Before drafting any Issue content, read:

  • .claude/issue-guidelines.md — full Issue creation guidelines, templates, and quality checklist

This file contains the authoritative structure, Pre-Submission Verification checklist, and examples of good/bad Issues.

2. Gather Information

After reading the guidelines, gather the following information from the user:

  • Type: Feature, Bug, Documentation, Refactor, or other
  • Summary: Brief description of the task
  • Context: Why is this needed?
  • Technical Details: Implementation hints if available

2. Determine Issue Template

Based on the type, use the appropriate structure:

Feature Request

markdown
1## Summary 2[Brief description of the feature] 3 4## Problem 5[What problem does this solve?] 6 7## Proposed Solution 8[How should this be implemented?] 9 10## Technical Implementation 11[Technical details for autonomous implementation] 12- Files to modify: 13- New files to create: 14- Dependencies: 15- Architecture considerations: 16 17## Acceptance Criteria 18- [ ] [Specific, testable criterion] 19- [ ] [Another criterion] 20- [ ] Tests added 21- [ ] Documentation updated (if applicable)

Bug Report

markdown
1## Summary 2[Brief description of the bug] 3 4## Current Behavior 5[What happens now?] 6 7## Expected Behavior 8[What should happen?] 9 10## Steps to Reproduce 111. [Step 1] 122. [Step 2] 133. [Step 3] 14 15## Technical Details 16- Environment: [OS, Rust version, etc.] 17- Error messages: 18- Related files: 19 20## Proposed Fix 21[Technical approach to fix] 22 23## Acceptance Criteria 24- [ ] Bug is fixed 25- [ ] Tests added to prevent regression 26- [ ] No new warnings from clippy

3. Validate Completeness

Before creating the Issue, verify:

  • Title is concise and descriptive (in English)
  • Technical detail is sufficient for autonomous implementation
  • Acceptance criteria are specific and testable
  • Labels are appropriate (bug, enhancement, documentation, etc.)
  • Related Issues/PRs are referenced if applicable

4. Create the Issue

Use the gh CLI to create the Issue:

bash
1gh issue create --title "TITLE" --body "BODY" --label "LABEL"

5. Confirm Creation

After creating, output:

  • Issue URL
  • Issue number
  • Summary of what was created

Labels Reference

Common labels for this project:

  • bug - Bug fixes
  • enhancement - New features or improvements
  • documentation - Documentation updates
  • refactor - Code refactoring
  • security - Security-related issues
  • performance - Performance improvements
  • testing - Test additions or improvements

Example Usage

User: "バグ報告したい。cargo run で --no-network オプションが効かない"

Claude executes /issue skill:

  1. Gathers details about the bug
  2. Creates English Issue with proper template
  3. Adds bug label
  4. Creates Issue using gh issue create
  5. Reports Issue URL to user

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