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Found 2,894 Skills
Use when changes are ready to ship and you need to communicate what changed, who it affects, and any required actions without exposing internal-only details.
Provides spec writing guidelines with 6 core areas and boundary system. Use when writing SPEC.md, defining requirements, creating project specifications, 요구사항 정의, or 스펙 작성.
Persistent decision log that creates a read-write feedback loop: read previous decisions before starting work, respect or supersede them, and write new Y-statement records as you go. Activates during any task involving architectural, structural, or design decisions - choosing libraries, designing schemas, creating modules, making tradeoffs, selecting patterns. Also activates when DECISIONS.md already exists in the project. Do NOT activate for trivial changes like typos, renames, or formatting.
This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
Chapter 4 (사업 기대효과) 작성 가이드 - 템플릿 및 요구사항 통합
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
Use when coordinating non-trivial implementation work, executing implementation plans, or modifying AGENTS.md/CLAUDE.md.
[UDS] Guide through Behavior-Driven Development workflow
Generate high-quality, "All-Star" README files for open-source repositories. Use this skill when a user asks to create, update, or improve a README.md file for their project.
Web search via Brave search engine.
Use when creating new skills, editing existing skills, or verifying the validity of skills before deployment
Create and maintain an Obsidian-style graph memory bank in a code repository: small atomic Markdown nodes with YAML frontmatter, cross-links, explicit backlinks, and release/entity-driven coverage for fast AI-agent context retrieval. Use when asked to build/upgrade a 'memory bank', 'graph memory', 'obsidian docs', 'суперсвязанную графовую документацию', or when you need structured docs under docs/ that let an AI agent pull minimal but precise context.