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GitHub 저장소

OpenCandle

OpenCandle에는 Kahtaf에서 수집한 skills 9개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.

수집된 skills
9
Stars
4
업데이트
2026-07-08
Forks
1
직업 범위
직업 카테고리 2개 · 100% 분류됨
저장소 탐색

이 저장소의 skills

codex-first
소프트웨어 개발자

Route implementation work to Codex CLI; Claude specs, reviews, verifies.

2026-07-08
autoreview
소프트웨어 품질 보증 분석가·테스터

Run OpenCandle's repo-local autoreview helper for local branch, PR, or commit review. Use when the user asks for autoreview, PR review, second-model review, or a final closeout review before commit, push, merge, or release.

2026-07-03
openspec-apply-change
소프트웨어 개발자

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

2026-06-26
openspec-archive-change
소프트웨어 개발자

Archive a completed change in the experimental workflow. Use when the user wants to finalize and archive a change after implementation is complete.

2026-06-26
openspec-propose
소프트웨어 개발자

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

2026-06-26
graphify
소프트웨어 개발자

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

2026-06-13
graphify
소프트웨어 개발자

Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.

2026-06-13
prompt-engineering-patterns
소프트웨어 개발자

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

2026-05-24
graphify
소프트웨어 개발자

any input (code, docs, papers, images) → knowledge graph → clustered communities → HTML + JSON + audit report. Use when user asks any question about a codebase, project content, architecture, or file relationships — especially if graphify-out/ exists. Provides persistent graph with god nodes, community detection, and BFS/DFS query tools.

2026-05-23