GitHub 이슈 해결을 처음부터 끝까지 처리합니다. "#123 해결", "#123 작업"과 같은 프롬프트나 GitHub 이슈 URL을 붙여넣으면 구현 작업을 자동으로 수행합니다.
이 스킬은 GitHub 이슈 해결 프로세스를 완전 자동화하는 도구입니다. 개발자가 "solve #123" 또는 "work on https://github.com/owner/repo/issues/123"과 같은 명령어를 입력하거나 이슈 URL을 직접 붙여넣으면, AI가 이슈를 분석하고 코드 구현, 테스트, PR(Pull Request) 생성을 포함한 전체 워크플로우를 처리합니다. 주로 Claude Code, Cursor, Codex와 같은 AI 에이전트 플랫폼에서 사용되며, 구현 작업에 특화되어 있습니다. 이슈 초안 작성이나 PR 리뷰 전용, 비구현 연구에는 사용하지 않는 것이 좋습니다. 실질적인 코드 구현과 협업 워크플로우 가속화에 초점을 맞춘 스킬입니다.
npx skills add https://github.com/equinor/fusion-skills/tree/main/skills/fusion-issue-solvingInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
"#123 해결", "#123 작업 시작", "#123 작업"과 같은 프롬프트나 https://github.com/소유자/저장소/issues/123과 같은 GitHub 이슈 URL을 요청으로 붙여넣어 GitHub 이슈 해결을 처음부터 끝까지 처리합니다. 사용 용도: #123 해결, #123 이슈 작업 계속, https://github.com/소유자/저장소/issues/123 작업, 구현 작업을 위한 GitHub 이슈 URL 붙여넣기. 사용 금지: 이슈 초안 작성 전용, PR 리뷰 전용, 비구현 연구.
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.