Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Convert Markdown articles into polished HTML for publishing on WeChat Official Accounts. Apply professional CSS styling, syntax highlighting, and improved formatting. Use when the user asks to polish an article, convert it to HTML, optimize the WeChat Official Account format, or generate WeChat Official Account HTML.
WeChat official account draft writing skill. After the topic and outline are confirmed, generate a high-fidelity first draft based on reference materials, voice transcripts, and writing-style DNA. For the body-writing stage; does not handle topic selection, outlining, or title decisions.
Multi-platform article publisher and content distribution tool. Sync and cross-post Markdown/HTML articles to 29+ platforms including Zhihu (知乎), Juejin (掘金), CSDN, Toutiao (头条), Weibo (微博), Xiaohongshu (小红书), Bilibili (B站), WordPress, Typecho, WeChat (微信公众号), and more. Use when the user wants to publish, sync, cross-post, or distribute articles (文章同步/多平台发布/一键发布) to Chinese content platforms, tech communities, blogging sites, or self-hosted blogs. Also use when checking platform login status or extracting articles from web pages. Keywords: content syndication, blog distribution, multi-platform publishing, self-media (自媒体), content creator tools.
Buy or sell XAUT (Tether Gold) on Ethereum. Supports market orders (Uniswap V3) and limit orders (UniswapX). Wallet modes: Foundry keystore or WDK. Delegates non-XAUT intents to registered skills (e.g. Polymarket prediction markets, Hyperliquid trading). Triggers: buy XAUT, XAUT trade, swap USDT for XAUT, sell XAUT, swap XAUT for USDT, limit order, limit buy XAUT, limit sell XAUT, check limit order, cancel limit order, XAUT when, create wallet, setup wallet, polymarket, prediction market, bet on, odds on, hyperliquid, perp, perpetual, long, short, open long, open short, close position, leverage.
Generate Xiaohongshu (RedNote) notes: turn a topic or user-provided material (text/images/video) into a set of vertical cards (image-text) or a video script with a shot-by-shot storyboard (video), with caption + hashtags, saved to output/小红书/. Use when the user says 写小红书 / 做小红书笔记 / 小红书图文 / 小红书种草 / 出一套 xhs 卡片 / 小红书视频 / write a Xiaohongshu note / make a RedNote post.
Xiaohongshu video downloader — paste a Xiaohongshu video link with the xsec_token parameter and get a watermark-free download link in one step. Use when the user needs to download Xiaohongshu videos, save RED videos, or get direct Xiaohongshu video links. Trigger words: 小红书视频下载, 红书视频下载, 小红书视频解析, 下载小红书视频, RED视频下载.
Xie Shengzi's thinking framework and way of speaking. Based on deep research into the book Wujie Chengzhang, 20+ episodes of the Xiaoyuzhou podcast, Bilibili long-form livestreams, SSPAI long-form articles, Jike/Weibo/Threads social media posts, Xiaohongshu content strategy, and the highlights of the 2025 year-end talk, it distills 6 core mental models, 12 decision heuristics, a complete expression DNA, and a corpus of 80+ verbatim quotes. Purpose: to act as a thinking advisor and analyze personal IP building, content creation, career growth, AI-era strategy, business cognition and other questions from Xie Shengzi's perspective. Trigger phrases: "from Xie Shengzi's perspective", "what would Xie Shengzi think", "Shengzi perspective", "Xie Shengzi mode", "Wujie Chengzhang perspective". Also trigger when the user merely says "help me think from Xie Shengzi's angle", "what would Xie Shengzi say", or "switch to Xie Shengzi".
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
逸尘's sole audio/video transcription entry point, managing the StepFun Step ASR, Volcano Engine Doubao ASR, and local Whisper backends. For plain-text transcription, it selects an engine based on parameters, saved engine preferences, and the default StepFun preference, and handles first-time selection prompts. Timestamped transcripts, SRT subtitles, and rough-cut transcription of spoken content are routed between Step's domestic site and Doubao according to output requirements, safety boundaries, and availability. Also includes pre-transcription checks. For local audio or video, including downloaded audio and video from Xiaoyuzhou, Bilibili, and other sources, meeting recordings, and re-recognition of long audio. Use when the user asks to transcribe with Step, use only step, stepaudio-2.5-asr, transcribe with Doubao or Volcano, transcribe for free with local Whisper, set the transcription engine, or names step-asr, volc-asr, or yichen-asr. Do not silently switch providers when the user explicitly specifies one. Use when a local audio or video file needs transcription, timestamps or subtitles, or when the user names $yichen-asr, $step-asr or $volc-asr.
Fetch transcripts, metadata, and captions from YouTube videos. Use when you need to summarize a video, answer questions about its content, extract key points, compare videos, or pull quotes with timestamps. Supports auto-generated and manual captions, multiple languages, and translation.
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
Bridge ETH and ERC-20 tokens across EVM chains via Across Protocol v3. One function for a quote, one function for the entire end-to-end bridge (approval + deposit + arrival verification). Use when the user wants to move tokens between chains (e.g. "bridge 50 USDC from Base to Arbitrum", "send ETH from Ethereum to Optimism", "move USDT Arbitrum → Base"). Supports Ethereum, Arbitrum, Optimism, Base, Polygon, BSC, Linea, zkSync, Scroll, Mantle. Fast settlement (seconds to minutes).
When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see paid-ads. For landing page copy, see copywriting.
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`
Generate background music and add it to your Remotion project. Describe the mood/genre you want, and this will generate a commercially licensed track with Eleven Music (official ElevenLabs music skill) and wire it into your composition with proper fade in/out.
Checks that every Python code block in a Markdown file actually compiles and runs, by extracting each block to a temporary file, executing it in an isolated subprocess, and writing a pass/fail report with per-snippet coverage. Use when the user asks to verify, test, or validate the code samples in a README, a guide, or a documentation page; wants to know which snippets in a Markdown file are broken or out of date; or asks for a snippet verification report. Don't use for running the project's test suite (run pytest directly), for checking code style or formatting (use `adk-style`), or for authoring a new runnable sample agent (use `adk-sample-creator`).
Use this skill when a user names or describes a visual aesthetic (Y2K, vaporwave, brutalist, cottagecore, dark academia, etc.), wants to compare or disambiguate aesthetics, or needs formal characterization before producing design tokens or assets. Provides the 7-dimension framework (palette, type, texture, shape, motion, spatial conventions, cultural markers) and a curated dictionary of 182 major aesthetics. Foundation for aesthetic-application. Do not use for component implementation, layout, or accessibility decisions.
Wire AG2's shipped tools into an `Agent` — both provider-native server-side tools (web search, web fetch, code execution, MCP, image generation, memory) and locally-executed common toolkits (filesystem, DuckDuckGo, Exa, Tavily, skills). Use when the user wants capabilities AG2 already ships rather than writing custom Python. For shell commands see `ag2-shell-tool`; for custom Python tools see `ag2-add-custom-tool`.
Use this skill whenever you need to automate or control Google Chrome on Linux using the user's existing authenticated session on any site — particularly sites that block automated or headless sign-in (MFA, CAPTCHA, OAuth, bot detection). Trigger any time the user asks you to "use Chrome", "open the browser", "automate a website", "control the browser", "use agent-browser", or wants to do something on a site they're already logged into. Also trigger when the user mentions CDP, remote debugging, or connecting to a running Chrome instance on Linux. This skill is essential whenever agent-browser needs an authenticated session — don't skip it, since missing the profile-copy step will drop you on a sign-in page you can't get past.
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, README expectations, and conventional commit summaries.
Data pipelines, feature stores, and embedding generation for AI/ML systems. Use when building RAG pipelines, ML feature serving, or data transformations. Covers feature stores (Feast, Tecton), embedding pipelines, chunking strategies, orchestration (Dagster, Prefect, Airflow), dbt transformations, data versioning (LakeFS), and experiment tracking (MLflow, W&B).
Detect AI-isms in written content and score it on a 1-10 AI-voice scale (1-2 green / human, 3-6 yellow / mixed, 7-10 red / machine-cadenced). Use when the user asks to check for AI voice, AI-isms, ChatGPT-isms, LLM tells, machine-cadenced prose, or wants a "humanness" / "AI-voice" rating on a piece of writing.
Use when transcribing non-realtime speech with Alibaba Cloud Model Studio Qwen ASR models (`qwen3-asr-flash`, `qwen-audio-asr`, `qwen3-asr-flash-filetrans`). Use when converting recorded audio files to text, generating transcripts with timestamps, or documenting DashScope/OpenAI-compatible ASR request and response fields.
Access the AlphaFold DB of 240M+ AI-PREDICTED protein structures (v6, plus precomputed homodimer/heterodimer complexes) — retrieve models by UniProt accession, download PDB/mmCIF files, and analyze prediction confidence metrics (pLDDT, PAE). Use when a UniProt ID needs a computationally predicted 3D structure or when no experimental structure exists, for homology modeling, protein engineering, or structure-based drug discovery; for EXPERIMENTALLY determined structures (X-ray, cryo-EM, NMR) prefer alterlab-pdb, to fold a NEW sequence or complex yourself prefer alterlab-alphafold, and for protein sequences, annotations, or accession ID mapping prefer alterlab-uniprot instead. Part of the AlterLab Academic Skills suite.
Search the bioRxiv preprint server and retrieve paper metadata or download PDFs via its API. Use when finding life sciences preprints by keywords, authors, DOI, date ranges, or categories, or when conducting a biology literature review of not-yet-peer-reviewed work. Part of the AlterLab Academic Skills suite.
Query cBioPortal via its keyless REST API for cancer genomics across TCGA, GENIE, MSK-IMPACT and hundreds of studies — somatic mutations, copy-number alterations (GISTIC), mRNA/protein expression, structural variants, and patient-level clinical/survival data. Use when asked how often a gene is mutated/amplified/deleted in a tumor type, to profile oncogenes or tumor suppressors across cancers (pan-cancer alteration frequency), to pull patient-level mutations joined to OS/clinical outcomes, or to validate a cancer target from cohort genomics. For germline variant pathogenicity use alterlab-clinvar; for mutational-signature (SBS) decomposition use alterlab-cosmic; for CRISPR/RNAi gene-dependency use alterlab-depmap; for aggregated target-disease evidence use alterlab-opentargets. Part of the AlterLab Academic Skills suite.
Process and visualize deep-sequencing coverage with the deepTools CLI — convert BAM to bigWig (bamCoverage), build log2 ratio tracks (bamCompare), run QC (multiBamSummary correlation, PCA, plotFingerprint), apply the ATAC-seq Tn5 shift (alignmentSieve --ATACshift), and make TSS/peak heatmaps and profiles (computeMatrix, plotHeatmap, plotProfile). Use for coverage tracks, signal heatmaps/profiles, normalization (RPGC/CPM/RPKM), and effective-genome-size lookups for ChIP-seq, ATAC-seq, MNase-seq, or RNA-seq. NOT for per-read/CIGAR/MAPQ BAM record access — that is pysam. Part of the AlterLab Academic Skills suite.
Generates or edits raster images via AI models (FLUX.2, Gemini 3.1 Flash Image / "Nano Banana 2") through an OpenRouter API key. Use when the request is to generate or edit a photo, illustration, artwork, concept art, poster hero image, or presentation/slide visual asset — anything that is not a technical diagram, an infographic, or a data chart. For flowcharts, circuits, pathways, neural-net architectures, and technical/methodology diagrams use alterlab-scientific-schematics; for infographics that lay out statistics or timelines use alterlab-infographics; for plotting numeric data (scatter, bar, line) use alterlab-matplotlib instead. Part of the AlterLab Academic Skills suite.
Access NCBI GEO (Gene Expression Omnibus) for gene expression and functional genomics data — search and download microarray and RNA-seq datasets by GSE, GSM, GPL, or GDS accession and retrieve SOFT, MINiML, and series matrix files. Use when locating public expression datasets, fetching processed expression matrices, downloading a study's supplementary files, or sourcing per-study transcriptomics data for differential-expression analysis. For raw FASTQ sequencing reads by SRA/ENA run accession use alterlab-ena; for reference tissue-expression baselines (median TPM across human tissues) use alterlab-gtex; for cancer cohort somatic mutations and copy-number use alterlab-cbioportal. Part of the AlterLab Academic Skills suite.
Run fast one-liner queries to 20+ bioinformatics databases from the gget CLI or Python — gene info (Ensembl), BLAST, AlphaFold structures, Enrichr enrichment, and more. Use for quick interactive lookups of genes, sequences, structures, or pathways — for batch processing or advanced BLAST use biopython, for multi-database Python workflows use bioservices. Part of the AlterLab Academic Skills suite.
Query the NHGRI-EBI GWAS Catalog REST API v2 for curated SNP-trait associations, retrieving variants by rs ID, disease/trait (EFO/MONDO), gene, or study (GCST) with p-values, effect sizes, and ancestry, and locate full harmonised summary statistics on the FTP site. Use when investigating genome-wide association study hits, mapping a SNP or rsID to traits, selecting GWAS for polygenic risk scores or fine-mapping, or doing genetic epidemiology lookups. Part of the AlterLab Academic Skills suite.
Runs and analyzes molecular dynamics simulations with OpenMM and MDAnalysis — setting up protein and small-molecule systems, assigning force fields, running energy minimization and production MD, and analyzing trajectories (RMSD, RMSF, contact maps, free energy surfaces). Use when simulating protein or ligand dynamics, equilibrating a system, or computing trajectory metrics for structural biology, drug binding, or biophysics. Part of the AlterLab Academic Skills suite.
Simulates a full multi-reviewer journal review PANEL — 5 personas (Editor-in-Chief + 3 peer reviewers + a Devil's Advocate) debate a manuscript and produce a consensus Editorial Decision (accept/minor/major/reject) plus a prioritized Revision Roadmap. Modes: full, re-review (verify revisions addressed prior comments), quick, methodology-focus, Socratic guided. Use for: simulate peer review, mock review panel, editorial review before submission, multiple reviewer perspectives, re-review of a revised manuscript, or 'critique my paper hard'. For a single-reviewer referee report use alterlab-peer-review; for rubric/grade scoring use alterlab-scholar-eval; to write/revise the paper use alterlab-paper-writer. Part of the AlterLab Academic Skills suite.
Drafts and revises academic papers through a 12-agent pipeline with hardened LaTeX output (apa7 class, PDF compiled from LaTeX), supporting IMRaD, literature review, theoretical, case study, policy brief, and conference paper structures, APA 7.0 (default), Chicago, MLA, IEEE, and Vancouver citation formats, bilingual abstracts (English plus the author's language, e.g. Turkish or Traditional Chinese), and multi-format output (LaTeX, DOCX, PDF, Markdown). Use when the request mentions write paper, academic paper, paper outline, write abstract, revise paper, check citations, convert to LaTeX, guide my paper, parse reviews, revision roadmap, or makale yaz, akademik makale, özet yaz, makaleyi revize et, hakem yorumları, or 寫論文, 學術論文, 論文大綱, 寫摘要, 修改論文, 檢查引用, 引導我寫論文, 審查意見, 修訂路線圖. Its citation-check mode formats and inserts citations while drafting; for a standalone anti-hallucination check that cited references actually exist prefer alterlab-citation-verifier instead. Part of the AlterLab Academic Skills suite.
Build phylogenetic trees end-to-end from raw sequences — MAFFT multiple sequence alignment, optional TrimAl trimming, IQ-TREE 3 maximum-likelihood inference with model selection and bootstraps, FastTree for large datasets, then visualize with ETE3 or FigTree. Use when reconstructing trees from sequences (FASTA) for evolutionary analysis, microbial genomics, viral phylodynamics, protein-family studies, or molecular-clock dating. For manipulating/comparing an EXISTING Newick tree (prune, root, Robinson-Foulds, duplication/speciation events) use alterlab-etetoolkit; for plain sequence parsing/translation use alterlab-biopython. Part of the AlterLab Academic Skills suite.
Builds INTERACTIVE charts with the Plotly Python library (plotly.express / graph_objects) — hover tooltips, zoom/pan, animations, rangesliders, 3D rotation, and standalone HTML/web-embeddable output. Use when a chart must be interactive or web-embedded, for dashboards (incl. Dash), exploratory data analysis, or rotatable 3D plots. For static publication figures defer to alterlab-matplotlib (or alterlab-scientific-viz for journal formatting); for static statistical charts (heatmaps, distributions) defer to alterlab-seaborn; for diagrams/schematics defer to alterlab-scientific-schematics or alterlab-mermaid. Part of the AlterLab Academic Skills suite.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.