academic-chapter-writer
Comprehensive academic textbook chapter writing system for medical/scientific content. Use when the user wants to: (1) Write a full textbook chapter (5,000-15,000 words) on any medical/scientific topic, (2) Generate a detailed table of contents with section word counts, (3) Research topics via PubMed MCP and compile 20-30 references, (4) Write section-by-section with proper citations in Vancouver format, (5) Create publishable academic content with Eric Topol-inspired voice and authentic human prose, (6) Get approval at TOC stage before writing begins, (7) Export well-structured chapters for textbook publication.
article-extractor
Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
authentic-voice
Transform AI-sounding writing into natural, human prose. Use when creating or editing any written content—articles, essays, reports, emails, social posts, scripts, or marketing copy—to avoid patterns that signal AI authorship. Triggers on requests to "make it sound human," "less AI," "more natural," improve voice/tone, or any writing task where authentic style matters.
browser-automation
Browser automation for ChatGPT Plus and Gemini Advanced web interfaces. Uses Playwright MCP to interact with your paid subscriptions without API costs. Supports both models for writing comparison.
cardiology-content-repurposer
Transform long-form cardiology content (YouTube transcripts, newsletters, PDFs, knowledge bases) into high-quality thought leadership content across multiple formats. Use when the user wants to repurpose medical/cardiology content into: (1) Short newspaper articles (Inshorts style), (2) Atomic essays, (3) Tweets, (4) Twitter threads, or (5) Medium-style blogs. Maintains authentic interventional cardiologist voice with clinical authority, uses 4A framework, targets specific patient archetypes, and leverages PubMed for evidence-based citations when needed.
cardiology-editorial
Comprehensive cardiology editorial writing system for thought leadership newsletters. Use when the user wants to: (1) Identify and score recent landmark trials from top cardiology journals (NEJM, JAMA, Lancet, JACC, EHJ, etc.), (2) Write evidence-based editorials in Eric Topol's style from Ground Truth, (3) Create 500-word commentaries on clinical trials with PubMed citations, (4) Analyze trial importance using hybrid rules + LLM scoring, (5) Write editorials from full papers OR abstract-only scenarios, (6) Build thought leadership content for cardiologists, or (7) Synthesize recent cardiology advances for peers and referring physicians.
cardiology-newsletter-writer
Create evidence-based cardiology newsletters for thought leadership in Eric Topol's authoritative Ground Truths style. Use when the user wants to analyze trending medical topics with engagement predictions, conduct data-driven topic selection, research medical literature using PubMed, or write comprehensive well-referenced newsletters that build professional authority as an interventional cardiologist. Handles complete workflow from trend analysis to final draft with smooth analytical flow between topics.
cardiology-science-for-people
Write rigorous, accurate cardiology science for general audiences—not doctors. Use when the user wants to: (1) Explain clinical trials or research in plain English, (2) Write science content an 8th grader can understand WITHOUT dumbing it down, (3) Create thought leadership for the intelligent public rather than medical peers, (4) Transform complex cardiology findings into stories and narratives, (5) Write pieces where readers DON'T need another LLM to understand the explanation. Maintains full scientific rigor with PubMed citations for verification while avoiding academic language, trial acronyms, and intimidating statistics.
cardiology-topol-writer
Transform thought dumps into polished cardiology content in Eric Topol's Ground Truths voice. Use when the user wants to write cardiology articles, newsletters, video scripts, or educational content from scattered ideas, clinical observations, or research notes—combining Eric Topol's evidence-based clarity with Peter Attia's deep-dive rigor.
cardiology-trial-editorial
Identify landmark cardiology trials and write evidence-based editorials in Eric Topol's authoritative Ground Truths style. Use when the user wants to: (1) Discover and evaluate recent important trials from top cardiology journals (NEJM, JACC, Lancet, EHJ, Circulation), (2) Assess trial importance using systematic scoring, (3) Write 500-word editorials on cardiology/interventional cardiology advances for physician audiences, (4) Create thought leadership content that demonstrates deep domain expertise. Supports both full-text and abstract-only scenarios with PubMed integration for references.
cardiology-tweet-writer
Generate scientifically accurate, engaging cardiology tweets for thought leadership. Use when creating social media content for a cardiologist targeting patients, health enthusiasts, health optimizers, people with lifestyle diseases, and caregivers. Produces 10 tweets per batch using permutations of cardiology seed ideas and modifiers. Incorporates feedback to improve output quality over time.
cardiology-visual-system
Unified visual content system for cardiology thought leadership. Automatically routes requests to the optimal tool—Fal.ai for blog imagery, Gemini for infographics, Mermaid for flowcharts/pathways, Marp for slides, Plotly for data visualization. One skill handles all visual needs within Claude Code.
cardiology-youtube-scriptwriter
End-to-end YouTube content creation for cardiology channels. Use when user wants to create YouTube videos about cardiology, heart health, or cardiovascular topics. Triggers on greetings with content intent, requests for video ideas or scripts, help with cardiology YouTube channels, heart health video content requests, or any cardiology content creation conversation. Handles complete workflow from ideation through social listening, topic selection, and full script delivery.
carousel-generator
Instagram carousel generator. Creates 1080x1080px branded slides from text/markdown input. Use this skill when you need to generate Instagram carousel slides with Dr. Shailesh Singh's brand colors, typography, and footer. Supports both @heartdocshailesh and @dr.shailesh.singh accounts.
content-marketing-social-listening
Comprehensive content marketing toolkit for discovering viral content opportunities, social listening, knowledge gap analysis, and content demand assessment across platforms. Use when researching trending topics in a niche, finding what's going viral, assessing content knowledge gaps, planning content calendars, or identifying high-demand content opportunities. Integrates with perplexity-search for real-time trend data and research-lookup for deep analysis.
content-os
Content OS orchestrator - the master skill that produces ALL content types from one seed idea (forward mode) or splits long-form content into short-form pieces (backward mode). Invokes research, writing, quality review, and visual generation skills in a coordinated pipeline. Long-form content goes through full quality gates; short-form gets quick accuracy pass.
content-reflection
Pre-publication quality assurance for cardiology thought leadership content. Use AFTER any content is drafted to evaluate scientific rigor, voice authenticity, positioning alignment, audience calibration, and credibility risk. Provides structured critique with specific revision suggestions. Works on any content type—tweets, threads, newsletters, editorials, video scripts.
content-research-writer
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
content-seo-optimizer
Three-agent SEO audit pipeline. Scrapes your content → analyzes SERP competitors → generates prioritized optimization report with P0/P1/P2 recommendations. Use BEFORE and AFTER publishing to maximize organic reach.
content-trend-researcher
Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven article outlines based on user intent analysis
cremieux-cardio
Write data-driven, evidence-first long-form Twitter posts on medicine and cardiology. Use when the user wants to: (1) Create thought leadership content in the style of Eric Topol, Peter Attia, Andrew Huberman, or Rhonda Patrick, (2) Present clinical evidence with charts, data, and Q1 journal citations for educated non-specialist audiences, (3) Write confident, matter-of-fact medical content that is rigorous without being inaccessible, (4) Explain trials, drugs, or medical phenomena using data visualization and systematic evidence review, (5) Build authority through methodological rigor and clear conclusions backed by evidence. NOT for newsletters or Substack. For Twitter long-form posts only.
deep-researcher
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources. Uses file-based research tracking, parallel investigation threads, and context-efficient patterns for deep investigations. ALL MEDICAL CITATIONS FROM PUBMED MCP ONLY.
ensemble-content-scorer
Multi-model consensus scoring for content ideas. Scores the same idea with Claude, GPT-4o, Gemini, and Grok in parallel, then aggregates for a balanced verdict. Reduces single-model bias and improves viral predictions.
gemini-imagegen
Generate and edit images using the Gemini API (Nano Banana Pro). Use this skill when creating images from text prompts, editing existing images, applying style transfers, generating logos with text, creating stickers, product mockups, or any image generation/manipulation task. Supports text-to-image, image editing, multi-turn refinement, and composition from multiple reference images.
influencer-analyzer
Track and analyze cardiology content creators (Topol, Attia, York Cardiology, Indian channels). Discovers content patterns, topics, engagement, and gap opportunities for your Hinglish content strategy.
infographic-generator
Generate world-class medical infographics using carousel-level visual language. Templates include hero stats, multi-section layouts, comparisons, myth-busters, process flows, and patient checklists. Default 1080x1350 for Instagram.
mcp-management
Manage Model Context Protocol (MCP) servers - discover, analyze, and execute tools/prompts/resources from configured MCP servers. Use when working with MCP integrations, need to discover available MCP capabilities, filter MCP tools for specific tasks, execute MCP tools programmatically, access MCP prompts/resources, or implement MCP client functionality. Supports intelligent tool selection, multi-server management, and context-efficient capability discovery.
medical-newsletter-writer
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multi-model-writer
Unified writing system with intelligent model routing. Default: Claude. Options: GLM-4.7 (cheapest), GPT-4o/mini, Gemini, Grok. Includes browser automation for web interfaces. Cost-aware routing based on task complexity.
parallel-literature-search
Parallel search across PubMed, Perplexity, and your knowledge base. Searches all sources simultaneously and synthesizes findings with citations. Faster evidence gathering for clinical questions.
perplexity-search
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
quick-topic-researcher
Rapid topic mastery for video/content prep. Takes a topic → generates 5 research questions → parallel PubMed + web search → outputs McKinsey-style brief in 5 minutes. Use BEFORE recording videos or writing content.
social-media-trends-research
Programmatic social media and marketing research using free tools: pytrends (Google Trends), yars (Reddit without API keys), and Perplexity MCP (Twitter/TikTok/Web). Use when finding trending topics in a niche, tracking keyword velocity and volume, monitoring Reddit discussions, discovering what's going viral, or researching content opportunities before writing. Zero-cost research stack with built-in rate limiting. Complements content-marketing-social-listening skill with executable code.
twitter-longform-medical
Write data-driven, evidence-first long-form Twitter posts on medicine and cardiology. Use when the user wants to: (1) Create thought leadership content in the style of Eric Topol, Peter Attia, Andrew Huberman, or Rhonda Patrick, (2) Present clinical evidence with charts, data, and Q1 journal citations for educated non-specialist audiences, (3) Write confident, matter-of-fact medical content that is rigorous without being inaccessible, (4) Explain trials, drugs, or medical phenomena using data visualization and systematic evidence review, (5) Build authority through methodological rigor and clear conclusions backed by evidence. NOT for newsletters or Substack. For Twitter long-form posts only.
video-delivery-coach
Analyze YOUR video recordings before publishing. Evaluates voice (pace, pitch, volume), facial expressions (emotions, eye contact, smiles), and content (filler words, structure). Helps improve your Hinglish YouTube delivery over time.
viral-content-predictor
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x-post-creator-skill
Create scientifically rigorous, engaging X (Twitter) posts for cardiology thought leadership. Use when generating social media content for a cardiologist targeting patients, caregivers, health optimizers, people with lifestyle diseases (hypertension, diabetes, cholesterol), and sedentary individuals seeking prevention. Produces batches of 10 unique posts using strategic combinations of 300+ cardiology seed ideas, 215+ modifiers, 5 audience archetypes, awareness levels, and proven copywriting frameworks (4A, Magical Multipliers). Features self-improvement through accumulated feedback.
youtube-script-master
Unified YouTube script creation for cardiology channels in Hinglish. Uses the COMPLETE research-engine pipeline (channel scraping, comment analysis, narrative monitoring, gap finding, view prediction) combined with RAG + PubMed for evidence. Data-driven topic selection, 15-30 min educational videos with 6-point voice check.
adaptyv
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
aeon
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
alphafold-database
Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
astropy
Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.
benchling-integration
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
biomni
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
biopython
Primary Python toolkit for molecular biology. Preferred for Python-based PubMed/NCBI queries (Bio.Entrez), sequence manipulation, file parsing (FASTA, GenBank, FASTQ, PDB), advanced BLAST workflows, structures, phylogenetics. For quick BLAST, use gget. For direct REST API, use pubmed-database.
biorxiv-database
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
bioservices
Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
brenda-database
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
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