learn-likecc

Use when a project needs a standard .claude workspace initialized or repaired incrementally. This skill audits the existing .claude folder, adds missing files and directories without overwriting existing rules/skills/settings, and can optionally evolve the structure over time for the current project.

Generate Zhihu article in the style of 22-庖丁解牛专题页-知乎图文终版.md

Use when the user wants to search GitHub repositories by keyword, inspect ranked candidates, compare likely matches, and optionally clone the selected repository into a specified local directory. Good for prompts like “帮我搜 GitHub 上相关仓库”, “帮我找并下载一个相关仓库”, “搜索 GitHub 上的项目然后拉到 reference”, or “按关键词找仓库并 clone 到指定位置”.

Use when the task is to build or maintain a repo-local 热门话题/AI日报专项, aggregate multiple public hot-topic sources such as AIbase Daily or RSS feeds, normalize them into a reusable snapshot, route the findings into the best existing site hotspot pages, and keep the hot-topic hub updated over time.

Use when the task is to take a user-provided keyword, search the web for relevant articles, summarize and cluster the findings, choose the most appropriate existing `site/` topic or hotspot page in this project, and draft a publish-ready Markdown article with explicit image prompt placeholders or Mermaid notes.

Use when a task should advance through repeated plan-driven loop cycles for an engineering project, paper, or long-running repo change. loloop wraps the official /loop idea with the repo's loop-in-loop method: read the current plan, inspect prior evolution notes, execute the current iteration, write a new evolution record, draft the next plan when a version is complete, and prepare the next /loop handoff.

Automatically fix, enhance, and optimize other skills when problems occur. Use when a skill fails or produces unexpected results. Prevents similar issues in the future.

Diagnose a Zhihu Markdown draft before publishing. Use when a Zhihu article needs a final copy audit for AI-flavored phrasing, professionalism, readability, and evidence strength, especially before calling zhihu-publish.

Use when the task is to publish a Zhihu article from Markdown using the local browser-automation pipeline in this repo. Covers the text-only publishing chain, the multimodal chain that uploads Markdown images into the Zhihu editor, cookie-based login checks, and choosing between the stable text script and the richer multimodal script.

Use when the user wants to find a suitable SKILL.md-based skill from SkillsMP, compare candidates, verify the upstream GitHub repository, and optionally install it into Claude Code or Codex skill directories with the local installer script.

Use when the task is to unpack a local reference repository into a Chinese structural topic page, update site navigation, stamp dates, and leave behind a reusable deconstruction note for the repo.

Use when working on learn-likecc and the task involves new requirements, roadmap updates, README updates, git commits, GitHub Pages updates, or release/version changes. Ensures every new requirement is written into plan files, unfinished work remains in TODO sections, and release/git/pages handling follows the repo workflow without the user needing to restate it each time.

Curates foreign tech blogs (e.g. Daily Dose of Data Science Substack) via RSS, classifies items into learn-likecc RAG vs Agent “技术热点” sub-topics, drafts Chinese summaries with attribution, and appends rows to the site HTML tables. Use when the user asks to ingest Daily Dose of DS, Substack feeds, auto-fetch hot topics, translate articles for topic-rag-hot or topic-agent-hot, or refresh external curated content for the course site.