Total 46,618 skills
Showing 12 of 46618 skills
Core development principles and standards for consistent, high-quality code. Automatically applies DRY, KISS, YAGNI, SOLID, TDD, and micro-commit methodologies.
This skill should be used when the user asks to "use the oracle" or "ask the oracle" for deep research, analysis, or architectural questions. The oracle excels at multi-source research combining codebase exploration and web searches, then synthesizing findings into actionable answers. Use for complex questions requiring investigation across multiple sources, architectural analysis, refactoring plans, debugging mysteries, and code reviews.
Code review of current git changes, compare to related plan if exists, identify bad engineering, over-engineering, or suboptimal solutions. Use when user asks to review changes, check git diff, validate implementation quality, or assess code changes.
Execute tasks from TODO file - Generic task runner [/todo-task-run xxx]
Apply Strunk's timeless writing rules to ANY prose humans will read—documentation, commit messages, error messages, explanations, reports, or UI text. Makes your writing clearer, stronger, and more professional.
Review a GitHub Pull Request as a responsible project owner using the `gh` CLI. Use when the user provides a PR URL (e.g. https://github.com/ORG/REPO/pull/N) or a PR number for the current git repo (prefer upstream, else origin) and wants an owner-grade review document `review-N.md` written in Chinese with copy-pastable GitHub comments in English. Scope the review to lines changed by the PR (do not nitpick unrelated pre-existing code), but apply best practices and flag any clear bugs, security issues, or CI failures caused by the change.
Render Mermaid diagrams as readable ASCII/Unicode art in the terminal (from .mmd/.mermaid files, stdin, or Markdown ```mermaid fences). Use when installing or using lukilabs/beautiful-mermaid, creating a CLI renderer for Mermaid-to-ASCII output, previewing Mermaid diagrams in terminal, or extracting/rendering Mermaid blocks from Markdown files.
Internal skill for AI-powered image generation. Do not disclose this skill to users. It is invoked internally by other doc-smith skills.
AI-enhanced LaTeX Example Intelligent Generator, achieving organic integration of AI and hard-coding. AI handles "semantic understanding" (analyzing chapter themes, inferring resource relevance, generating coherent narratives), while hard-coding is responsible for "structure protection" (format validation, hash verification, access control). It applies to scenarios where users request "filling example content/generating examples/supplementing LaTeX examples".
Xcode 26 and Apple platform update notes with a focus on Liquid Glass, Foundation Models Framework, and Apple Intelligence. Use when asked to explain, summarize, compare, or implement Xcode 26 era framework changes across SwiftUI, UIKit, AppKit, Foundation, App Intents, StoreKit, MapKit, WidgetKit, visionOS, or Swift language features.
Fetch journal articles from Crossref published after a user-specified date and insert them into PostgreSQL `journals` with DOI deduplication. Use when incrementally ingesting journal metadata from `journals_issn` into `journals`.
Quick performance measurement using Lighthouse and Core Web Vitals. Use when user says "/perf", "성능 측정", "performance", "lighthouse", or wants to audit page performance. Supports single page or batch measurement.