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Found 5,512 Skills
Document finalized technology selections, architecture decisions, long-term constraints, and coding conventions in the project into searchable permanent documents. No one will remember why X was chosen six months later, but with decision documents, at least the background can be understood before making changes next time. Four types: tech-stack (which tools/libraries/frameworks to use), architecture (how the system is organized), constraint (what is not allowed), convention (what is uniformly done). Trigger scenarios: Proactively push when important choices are made after feature-design or issue-analyze, or when the user says "record decision", "archive technology selection", "ADR", "record this constraint", "write down the convention". Only archive finalized decisions; do not archive under-discussion solutions.
Use this before claiming work is complete, fixed, or tested—before committing or creating a PR—you must run validation commands and confirm the output before claiming success; always back up assertions with evidence
개발 DB에 SQL을 직접 실행하여 데이터를 조회하는 스킬. "DB 확인", "데이터 조회", "테이블 조회", "SQL 실행", "데이터 검증" 키워드로 트리거. AI 에이전트가 백엔드/프론트엔드 개발 중 개발 DB 데이터를 즉시 확인할 때 사용.
Performs a comprehensive health check of a CockroachDB cluster. Gathers deployment context first, then provides tier-appropriate diagnostics. Self-Hosted uses SQL against node-level system tables and CLI. Advanced/BYOC use Cloud Console and SQL with node visibility. Standard monitors provisioned compute and workload via Cloud Console. Basic monitors Request Unit consumption and connectivity. Use for daily checks, pre-maintenance validation, post-incident verification, or production readiness assessment.
Analyzes CockroachDB range distribution across tables and indexes using SHOW RANGES to identify range count, size patterns, leaseholder placement, and replication health. Use when investigating hotspots, uneven data distribution, range fragmentation, or validating zone configuration effects without DB Console access.
Generate images from a text prompt using Google's Nano Banana Pro (Gemini 3 Pro Image) with configurable aspect ratio, resolution (1K/2K/4K), and up to 5 reference images. Use when the user wants to generate an image, produce artwork for a blog post, create a product photo, mock up a portrait or cinematic scene, or when they mention "generate an image", "make a picture", "Nano Banana", or "Gemini image".
Use when the user asks to design RAG pipelines, optimize retrieval strategies, choose embedding models, implement vector search, or build knowledge retrieval systems.
Full-Process Web Novel/Story World Builder, suitable for users' overall novel writing needs such as saying "I want to write a novel", "Write a web novel", "Create a novel from scratch", "Help me write a novel of XX genre", "I want to write a novel", "Give me the entire novel creation process", "Auto-write a novel", "One-stop novel creation service", "Help me finish a novel", "How to write a novel with only an idea", etc. It automatically coordinates the full process of topic selection, outline design, writing, review, and polishing. Even if you only have a rough idea, it can help you complete a full work from 0 to 1 and build a unified story world. **All chapter-level operations are processed in parallel by sub-Agents, with each Agent responsible for a maximum of 3 chapters**
Transform approved Intent into executable phased plan with strict TDD. Each step requires tests first (happy/bad/edge/security cases), then implementation. Use after /intent-review when ready to start development.
Debug Rails issues systematically. Use when encountering ActiveRecord errors like RecordNotFound, routing issues, N+1 query problems detected by Bullet, asset pipeline issues, migration failures, gem conflicts, ActionController errors, CSRF token problems, or any Ruby on Rails application errors requiring diagnosis.
This skill should be used when the user asks to "generate an AGENTS.md", "create a CLAUDE.md", "write agent instructions", "set up AGENTS.md", "make an AGENTS.md for this repo", "configure agent behavior", or mentions generating, writing, or improving an AGENTS.md or CLAUDE.md file for a project.
Use when running or maintaining an Opportunity Solution Tree (OST) workflow with a lightweight graph store and CLI. Provides a single entry skill that routes to outcome, opportunity, solution, and assumption/experiment phases via progressive disclosure.