Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Add screenshots/images to ClassroomIO docs — convert source PNGs to optimized WebP, place them in apps/docs/public/, and reference them from the .mdx pages under apps/docs/content/docs/. Use when a doc page needs annotated screenshots or other images.
Cutting a new docs version, promoting next to a release, and managing versioned documentation content under docs/src/content/. Use when releasing a new Golem version, backporting docs fixes to an older release, renaming a docs version, or adding/removing a version from the version selector.
Write or update documentation for a feature, task, or topic in Paca Docs. Use when asked to document a completed feature, write a guide or runbook, update existing docs, create a spec or architecture document, or produce BDD scenarios. Documentation is saved in Paca — never created as local files.
Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Use ONLY when the user explicitly names OpenAI or GPT as the provider: "gpt image", "openai image", "generate image with openai", "用 openai 画图", "用 GPT 生成图片". For generic image requests without a provider, use nanobanana-skill instead. Do NOT use for diagrams (架构图/流程图) — draw those with Mermaid or code.
Use when transforming an academic paper, arXiv/OpenReview PDF, conference paper, technical report, poster, slide deck, repository README, or related research materials into a bilingual editorial package for an editing team. Produces two articles by default — a Chinese WeChat public-account version (`blog_zh.docx`) and an English research-blog version (`blog_en.docx`). Use for drafting, revising, or packaging article copy, figure placement, captions, image prompts, and the final `.docx` deliverables.
Export any web article to a local Obsidian-ready Markdown directory. Fetches page content via actionbook CLI, downloads images locally, rewrites image references to relative paths, and optionally translates the article using AI. Produces a self-contained folder with README.md, images/, and an index.md navigation file.
TOP PRIORITY skill — find and immediately fix or remove every piece of wrong, outdated, or redundant information in ToolUniverse docs. Wrong code, broken links, incorrect counts, and overlapping instructions must be fixed or removed — never left in place. Runs five phases: (D) static method scan, (C) live code execution, (A) automated validation, (B) ToolUniverse audit, (E) less-is-more simplification. Core philosophy: each concept appears exactly once; remove don't add; no emojis; single setup entry point. Use when reviewing docs, before releases, after API changes, or when asked to audit, fix, or simplify documentation.
Universal data access patterns for downloading and parsing scientific data when ToolUniverse tools don't cover the source, only return metadata, or you need bulk records. Use for VCF/h5ad/BAM/SDF/GCT parsing, multi-step API workflows (search to filter to download to parse), thousands of records at once, or sources with no dedicated tool. Write Python code via Bash for every step.
FASTQ quality control and adapter/quality-trimming decisions with local NGS tools — run FastQC on raw reads, summarize a project with MultiQC, interpret per-base sequence quality, per-base N content, adapter content, overrepresented sequences, sequence duplication and GC content, and decide whether (and how) to trim with fastp / Cutadapt before downstream analysis. seqkit for read counts/stats/subsampling. Use when someone asks "run QC on my FASTQs", "are my reads good quality?", "do I need to trim adapters?", "interpret this FastQC report", "what does this WARN/FAIL mean", "why are overrepresented sequences flagged", "should I quality-trim before alignment", "make a MultiQC summary", or "clean up these reads with fastp". NOT for differential expression / DEG analysis (use tooluniverse-rnaseq-deseq2), NOT for read alignment, coverage, or variant calling (use tooluniverse-variant-analysis / tooluniverse-sequence-analysis). Honest: shells out to real local binaries; if a tool is missing...
Specialized skill for translating large CSV files. It follows a multi-step process of planning, counting lines, splitting large files into manageable chunks, translating chunks, merging, and finally importing translations into Android resource files. Use when the user needs to translate a CSV file, especially large ones.