메뉴
Automates the process of creating and setting blog post covers. Reads a markdown file, generates a cover image based on title/subtitle, uploads it, and updates the file's frontmatter (e.g., banner_img).
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/crossoverJie/skills --skill auto-blog-cover명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
SOC 직업 분류 기준
| name | auto-blog-cover |
| description | Automates the process of creating and setting blog post covers. Reads a markdown file, generates a cover image based on title/subtitle, uploads it, and updates the file's frontmatter (e.g., banner_img). |
| license | Apache-2.0 |
| metadata | {"author":"crossoverJie","version":"1.0"} |
An end-to-end workflow automation for blog writers. It connects parsing, generation, uploading, and editing into a single command.
pip install -r skills/auto-blog-cover/requirements.txt
cover-generator and image-uploader to be present and configured.python3 skills/auto-blog-cover/auto_blog_cover.py <path_to_markdown_file> [options]
filepath: Path to the markdown post (Required).--title: Manually specify title (overrides file content).--subtitle: Manually specify subtitle.--theme: Color theme (random, dark, light, blue).--fields: Comma-separated Frontmatter fields to update. Default: banner_img,index_img.Auto-detect everything:
python3 skills/auto-blog-cover/auto_blog_cover.py content/posts/my-new-post.md
Override text (AI assisted scenario):
python3 skills/auto-blog-cover/auto_blog_cover.py _posts/2024-02-01-ai.md \
--title "AI Evolution" \
--subtitle "From Function Call to MCP"
Custom fields for different blog engine:
python3 skills/auto-blog-cover/auto_blog_cover.py post.md --fields "cover_image,og_image"
Multi-platform, multi-channel notification skill for AI code agents. Sends notifications (sound, macOS alert, Telegram, Email, Slack, Discord, DingTalk) when the agent needs user interaction or completes a task. Supports Claude Code, GitHub Copilot CLI, Cursor, Codex, Aider, and OpenCode.
Agent-driven wiki generation workflow for gRPC + Java projects with consistent styling. ⚠️ This skill is optimized for gRPC + Java architecture. It delivers the best results when the project uses gRPC for service communication and Java as the implementation language. For other architectures (REST, GraphQL, non-Java languages), the output quality may vary. Use this skill whenever the user wants to: - Create a documentation wiki for a Java project - Generate API documentation from gRPC proto files - Set up a project wiki with consistent styling - Create interface documentation for microservices This skill is specifically designed for projects using: - gRPC for service communication - Java as the implementation language - Proto files for API definitions Do not use for: - Non-gRPC projects (REST/GraphQL) - Non-Java projects (Node.js, Python, Go) - Documentation without code generation needs
StarRocks upgrade comparison tool. Compares two local branches of a StarRocks repository via commit log diff. Per-commit diff analysis with risk tier classification (HIGH/MEDIUM/LOW/SKIP) for comprehensive impact assessment beyond scanner coverage. 11 compatibility scanners cover config changes, session/system variables, BE config, protocol changes, parser changes, auth changes, storage format changes, charset/collation, type system changes, and materialized view compatibility. Unified impact model assesses data, behavior, operational, and rolling-upgrade impacts. Four-phase parallel analysis with subagent-driven deep investigation for all HIGH/CRITICAL findings. Requires local StarRocks source code.