Sync WHOOP wearable data to `health/whoop-YYYY-MM-DD.md` files. Pure Python, zero dependencies.

每日一报生产引擎。从用户画像出发，自动采集多平台资讯，筛选去噪，AI 生成结构化日报，渲染为 HTML。

🦞 AI小龙虾社区 Skill —— 为 AI小龙虾用户提供智能社交分身能力。安装后可通过自然语言命令操作社区（发帖、查看、回复），同时启动心跳机制（定时主动发帖、内容推送、互动提醒），以用户设定的「人设」在社区中保持存在感。适用场景：当用户想加入龙虾圈、配置AI分身、发布社区动态、查看社区内容、设置心跳频率、邀请好友时，应加载此 Skill。

Add, refine, calibrate, or migrate OpenClaw Control UI themes by patching the installed bundled frontend assets in dist/control-ui/assets. Use when a user wants a new WebUI theme, wants colors matched to a reference theme such as VSCode, wants chat/component styling tuned inside a custom theme, or wants an existing custom theme preserved across an OpenClaw upgrade.

Generate text embeddings via AIMLAPI. Use for semantic search, clustering, or high-dimensional text representations with text-embedding-3-large and other models.

Generate images or videos via AIMLAPI from prompts. Use when Codex needs reliable AI/ML API media generation with retries, explicit User-Agent headers, and async video polling.

Generate high-quality music/songs via AIMLAPI. Supports Suno, Udio, Minimax, and ElevenLabs music models. Use when the user asks for music, songs, or soundtracks with specific lyrics or styles.

Transcribe audio files (ogg, mp3, wav, etc.) using AIMLAPI. Use when the user provides audio messages or local audio files. Provides a reliable Python script with retries and polling.

Build autonomous multi-agent pipelines with Mastra (agents only) and Trigger.dev (all workflows and tasks). Use when creating AI agents, designing multi-stage pipelines, defining permissioned tools, structuring agent handoffs, storing agentic outputs to a database, or building durable task chains with retries and fan-out.

Scrape blogs/essay sites and compile into Kindle-friendly EPUB with AI-generated cover. Use for requests to download blogs for Kindle, compile essays into ebook, or send blog archives to Kindle. Supports Paul Graham, Kevin Kelly, Derek Sivers, Wait But Why, Astral Codex Ten, and custom sites.

Document ETL, entity extraction, and relationship graphing engine. Convert 1,000+ file formats into searchable, structured data with automatic entity and relationship mapping.

Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.

Transform lengthy academic papers into concise, structured 250-word abstracts

Disambiguate medical acronyms and abbreviations with context-aware full

Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.

Generate CIOMS-compliant adverse event narratives for Individual Case

Generate interactive anatomy quizzes for medical education with multiple

Convert medical textbook content, lecture notes, and study materials into

Humanize murine antibody sequences using CDR grafting and framework

Generate ARRIVE 2.0 compliant animal research protocols with structured

Convert written medical content into podcast or video scripts optimized

Use when determining author order on research manuscripts, assigning CRediT contributor roles for transparency, documenting individual contributions to collaborative projects, or resolving authorship disputes in multi-institutional research. Generates fair and transparent authorship assignments following ICMJE guidelines and CRediT taxonomy. Helps research teams document contributions, resolve disputes, and ensure equitable credit distribution in academic publications.

Transform unstructured clinical input (dictation, transcripts, or rough

Map unstructured biomedical text to standardized ontologies (SNOMED CT.

Use when creating biotech pitch decks, translating scientific data for investors, preparing fundraising presentations, or developing investor Q&A. Transforms complex scientific and clinical data into compelling investor narratives for biotech fundraising.

Use blind-review-sanitizer for academic writing workflows that need structured anonymization, explicit assumptions, and clear output boundaries for double-blind submission.

Convert between IUPAC names, SMILES strings, and molecular formulas for chemical compounds. Supports structure validation, identifier interconversion, and cheminformatics data preparation for drug discovery and chemical research workflows.

Use when identifying seminal papers in a research field, mapping research lineage and intellectual heritage, discovering related work through reference tracking, or finding potential collaborators through co-citation analysis. Maps citation networks to trace research evolution, identify influential papers, and discover hidden connections in scientific literature. Supports systematic reviews, bibliometric analysis, and research planning through comprehensive citation tracking.

Use when formatting references for journal submission, converting between citation styles (APA, MLA, Vancouver, Chicago), generating bibliographies for manuscripts, or ensuring consistent reference formatting. Automatically formats citations and bibliographies in 1000+ academic styles. Ensures reference accuracy, completeness, and compliance with journal requirements. Supports batch conversion and integration with reference managers.

Use when cleaning clinical trial data, preparing data for FDA/EMA submission, standardizing SDTM datasets, handling missing values in clinical studies, detecting outliers in lab results, or converting raw CRF data to CDISC format. Cleans and standardizes clinical trial data for regulatory compliance with audit trails.

'Monitor and summarize competitor clinical trial status changes from

Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.

Use when refactoring research code for publication, adding documentation to existing analysis scripts, creating reproducible computational workflows, or preparing code for sharing with collaborators. Transforms research code into publication-ready, reproducible workflows. Adds documentation, implements error handling, creates environment specifications, and ensures computational reproducibility for scientific publications.

Auto-generates comparison tables for concepts, drugs, or study results

Monitor competitor clinical trial progress and alert on market risks

Adapt abstracts to meet specific conference word limits and formats

Use conference poster pitch for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.

Use when planning conference schedules, optimizing session selection at scientific meetings, managing time between presentations, or maximizing networking at academic conferences. Creates personalized schedules balancing learning, networking, and career development for medical and scientific conferences.

Check for co-authorship conflicts between authors and suggested reviewers

Generates professional cover letters for journal submissions and job

Design CRISPR gRNA sequences for specific gene exons with off-target prediction and efficiency scoring. Trigger when user needs gRNA design, CRISPR guide RNA selection, or genome editing target analysis.

Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation.

Design dashboard layout sketches for clinical trials showing enrollment

Automatically generate NIH 2023-compliant Data Management and Sharing

Draft Diversity, Equity, and Inclusion statements for academic applications

Batch anonymize DICOM medical images by removing patient sensitive information

Use when drafting patient discharge summaries, creating personalized discharge instructions, simulating post-discharge outcomes, reducing hospital readmissions, or optimizing care transitions. Generates AI-enhanced discharge documentation with digital twin predictions for improved patient safety.

Build digital twin patient models to test drug efficacy and toxicity

Generate hospital discharge summaries from admission data, hospital course,

Structures and writes discussion sections for academic papers and research reports. Use when writing a discussion section, interpreting research results, connecting findings to existing literature, addressing study limitations, synthesizing conclusions, or drafting any part of an academic discussion. Helps researchers organize arguments, contextualize data, and produce clear, publication-ready discussion prose.