端到端处理 GitHub Issue 解决任务，支持通过提示词（如“solve #123”）或直接粘贴 Issue URL 触发实现工作。
此技能实现 GitHub Issue 的全流程解决自动化。用户只需输入“solve #123”、“work on https://github.com/owner/repo/issues/123”或直接粘贴 Issue URL，即可触发从分析到创建拉取请求的完整工作流。它适用于多种 AI 代理平台，帮助开发者快速处理代码实现任务。该技能会读取 Issue 详情、分析代码库、生成解决方案并提交 PR，从而减少手动操作时间并确保问题被准确解决。注意，它不适用于仅起草 Issue、仅审查 PR 或非实现性的研究任务。
npx skills add https://github.com/equinor/fusion-skills/tree/main/skills/fusion-issue-solvingInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
处理 GitHub Issue 的端到端解决方案，适用于以下提示词："solve #123"、"lets solve #123"、"work on #123"、"work on https://github.com/owner/repo/issues/123"，或通过直接粘贴 GitHub Issue URL 作为请求触发。
适用场景：
不适用的场景：
This repo contains 5 individual skills — each has its own dedicated page.
Resolves unresolved GitHub PR review threads end-to-end: evaluates whether each review comment is correct, applies a targeted fix when valid, replies with rationale when not, commits, and resolves the thread. USE FOR: unresolved review threads, PR review feedback, changes requested PRs, PR review URLs (#pullrequestreview-...), fix the review comments, close the open threads, address PR feedback. DO NOT USE FOR: summarizing feedback without code changes, creating new PRs, or read-only branches.
Classify issue type, activate the matching agent mode for type-specific drafting, and enforce shared safety gates before GitHub mutation.
Plan and break down user-story issues into ordered, traceable task issue drafts with explicit publish gates.
Explain what Fusion MCP is and guide users through setting it up when they need Fusion-aware MCP capabilities in Copilot workflows.
Creates or modernizes repository skills with clear activation cues, purposeful support files, and practical review loops. USE FOR: creating a new skill, tightening an existing skill, improving discovery wording, and structuring references/assets/optional helper agents when they genuinely add value. DO NOT USE FOR: product-code changes, routine copy edits outside skills/, or documentation that should not become an installable skill.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.