Revise README to streamline content and promote K-Dense Web, highlighting its features and benefits. Remove outdated sections and enhance calls to action for cloud-based execution and publication-ready outputs.

README.md

@@ -8,8 +8,6 @@
 
 A comprehensive collection of **148+ ready-to-use scientific and research skills** (now including financial/SEC research, U.S. Treasury fiscal data, OFR Hedge Fund Monitor, and Alpha Vantage market data) for any AI agent that supports the open [Agent Skills](https://agentskills.io/) standard, created by [K-Dense](https://k-dense.ai). Works with **Cursor, Claude Code, Codex, and more**. Transform your AI agent into a research assistant capable of executing complex multi-step scientific workflows across biology, chemistry, medicine, and beyond.
 
-**Looking for the full AI co-scientist experience?** Try [K-Dense Web](https://k-dense.ai) for 200+ skills, cloud compute, and publication-ready outputs.
-
 <p align="center">
   <a href="https://k-dense.ai">
     <img src="docs/k-dense-web.gif" alt="K-Dense Web Demo" width="800"/>
@@ -18,29 +16,6 @@ A comprehensive collection of **148+ ready-to-use scientific and research skills
 
 ---
 
-## K-Dense Web - The Full Experience
-
-Want 10x the power with zero setup? **[K-Dense Web](https://k-dense.ai)** is the complete AI co-scientist platform—everything in this repo, plus:
-
-| Feature | This Repo | K-Dense Web |
-|---------|-----------|-------------|
-| Scientific Skills | 148 skills | **200+ skills** (exclusive access) |
-| Setup Required | Manual installation | **Zero setup** — works instantly |
-| Compute | Your machine | **Cloud GPUs & HPC** included |
-| Workflows | Basic prompts | **End-to-end research pipelines** |
-| Outputs | Code & analysis | **Publication-ready** figures, reports & papers |
-| Integrations | Local tools | **Lab systems, ELNs, cloud storage** |
-
-**Researchers at Stanford, MIT, and leading pharma companies use K-Dense Web to accelerate discoveries.**
-
-**Get $50 in free credits** — no credit card required.
-
-<a href="https://k-dense.ai"><img src="https://img.shields.io/badge/Try_K--Dense_Web-Start_Free-blue?style=for-the-badge&logo=data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0IiBmaWxsPSJub25lIiBzdHJva2U9IndoaXRlIiBzdHJva2Utd2lkdGg9IjIiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIgc3Ryb2tlLWxpbmVqb2luPSJyb3VuZCI+PHBhdGggZD0iTTUgMTJoMTQiLz48cGF0aCBkPSJtMTIgNSA3IDctNyA3Ii8+PC9zdmc+" alt="Try K-Dense Web"></a>
-
-*Learn more at [k-dense.ai](https://k-dense.ai)* | *[Read our detailed comparison →](https://k-dense.ai/blog/k-dense-web-vs-claude-scientific-skills)*
-
----
-
 These skills enable your AI agent to seamlessly work with specialized scientific libraries, databases, and tools across multiple scientific domains. While the agent can use any Python package or API on its own, these explicitly defined skills provide curated documentation and examples that make it significantly stronger and more reliable for the workflows below:
 - 🧬 Bioinformatics & Genomics - Sequence analysis, single-cell RNA-seq, gene regulatory networks, variant annotation, phylogenetic analysis
 - 🧪 Cheminformatics & Drug Discovery - Molecular property prediction, virtual screening, ADMET analysis, molecular docking, lead optimization
@@ -250,6 +225,8 @@ mutations, and create visualizations and a comprehensive report.
 
 **Skills Used**: ChEMBL, RDKit, datamol, DiffDock, AlphaFold DB, PubMed, COSMIC, scientific visualization
 
+*Need cloud GPUs and a publication-ready report at the end? [Run this on K-Dense Web free.](https://k-dense.ai)*
+
 ---
 
 ### 🔬 Single-Cell RNA-seq Analysis
@@ -265,6 +242,8 @@ and identify therapeutic targets with Open Targets.
 
 **Skills Used**: Scanpy, Cellxgene Census, NCBI Gene, PyDESeq2, Arboreto, Reactome, KEGG, Open Targets
 
+*Want zero-setup cloud execution and shareable outputs? [Try K-Dense Web free.](https://k-dense.ai)*
+
 ---
 
 ### 🧬 Multi-Omics Biomarker Discovery
@@ -280,6 +259,8 @@ and search ClinicalTrials.gov for relevant trials.
 
 **Skills Used**: PyDESeq2, pyOpenMS, HMDB, Metabolomics Workbench, UniProt, KEGG, STRING, statsmodels, scikit-learn, ClinicalTrials.gov
 
+*This pipeline is heavy on compute. [Run it on K-Dense Web with cloud GPUs, free to start.](https://k-dense.ai)*
+
 ---
 
 ### 🎯 Virtual Screening Campaign
@@ -295,6 +276,8 @@ MedChem/molfeat.
 
 **Skills Used**: AlphaFold DB, BioPython, ZINC, RDKit, DiffDock, DeepChem, PubChem, USPTO, MedChem, molfeat
 
+*Skip the local GPU bottleneck. [Run virtual screening on K-Dense Web free.](https://k-dense.ai)*
+
 ---
 
 ### 🏥 Clinical Variant Interpretation
@@ -310,6 +293,8 @@ clinical report with document processing tools, and find matching trials on Clin
 
 **Skills Used**: pysam, Ensembl, ClinVar, COSMIC, NCBI Gene, UniProt, PubMed, ClinPGx, Document Skills, ClinicalTrials.gov
 
+*Need a polished clinical report at the end, not just code? [K-Dense Web delivers publication-ready outputs. Try it free.](https://k-dense.ai)*
+
 ---
 
 ### 🌐 Systems Biology Network Analysis
@@ -325,10 +310,44 @@ networks, and search GEO for similar patterns.
 
 **Skills Used**: NCBI Gene, UniProt, STRING, Reactome, KEGG, Torch Geometric, Arboreto, Open Targets, PyMC, GEO
 
+*Want end-to-end pipelines with shareable outputs and no setup? [Try K-Dense Web free.](https://k-dense.ai)*
+
 > 📖 **Want more examples?** Check out [docs/examples.md](docs/examples.md) for comprehensive workflow examples and detailed use cases across all scientific domains.
 
 ---
 
+## 🚀 Want to Skip the Setup and Just Do the Science?
+
+**Recognize any of these?**
+
+- You spent more time configuring environments than running analyses
+- Your workflow needs a GPU your local machine does not have
+- You need a shareable, publication-ready figure or report, not just a script
+- You want to run a complex multi-step pipeline right now, without reading package docs first
+
+If so, **[K-Dense Web](https://k-dense.ai)** was built for you. It is the full AI co-scientist platform: everything in this repo plus cloud GPUs, 200+ skills, and outputs you can drop directly into a paper or presentation. Zero setup required.
+
+| Feature | This Repo | K-Dense Web |
+|---------|-----------|-------------|
+| Scientific Skills | 148 skills | **200+ skills** (exclusive access) |
+| Setup | Manual installation | **Zero setup, works instantly** |
+| Compute | Your machine | **Cloud GPUs and HPC included** |
+| Workflows | Prompt and code | **End-to-end research pipelines** |
+| Outputs | Code and analysis | **Publication-ready figures, reports, and papers** |
+| Integrations | Local tools | **Lab systems, ELNs, and cloud storage** |
+
+> *"K-Dense Web took me from raw sequencing data to a draft figure in one afternoon. What used to take three days of environment setup and scripting now just works."*
+> **Computational biologist, drug discovery**
+
+> ### 💰 $50 in free credits, no credit card required
+> Start running real scientific workflows in minutes.
+>
+> **[Try K-Dense Web free](https://k-dense.ai)**
+
+*[k-dense.ai](https://k-dense.ai) | [Read the full comparison](https://k-dense.ai/blog/k-dense-web-vs-claude-scientific-skills)*
+
+---
+
 ## 🔬 Use Cases
 
 ### 🧪 Drug Discovery & Medicinal Chemistry
@@ -377,6 +396,8 @@ This repository contains **148 scientific and research skills** organized across
 
 ### Skill Categories
 
+> **Note:** The Python package and integration skills listed below are *explicitly defined* skills — curated with documentation, examples, and best practices for stronger, more reliable performance. They are not a ceiling: the agent can install and use *any* Python package or call *any* API, even without a dedicated skill. The skills listed simply make common workflows faster and more dependable.
+
 #### 🧬 **Bioinformatics & Genomics** (16+ skills)
 - Sequence analysis: BioPython, pysam, scikit-bio, BioServices
 - Single-cell analysis: Scanpy, AnnData, scvi-tools, Arboreto, Cellxgene Census
@@ -464,7 +485,8 @@ This repository contains **148 scientific and research skills** organized across
 - Citations: Citation Management
 - Illustration: Generate Image (AI image generation with FLUX.2 Pro and Gemini 3 Pro (Nano Banana Pro))
 
-#### 🔬 **Scientific Databases** (28+ skills)
+#### 🔬 **Scientific Databases** (28+ dedicated skills → 250+ databases total)
+> These 28+ skills each provide direct, optimized access to a named database. Collectively, however, these skills unlock **250+ databases and data sources** — multi-database packages like BioServices (~40 bioinformatics services + 30+ PSICQUIC interaction databases), BioPython (38 NCBI sub-databases via Entrez), and gget (20+ genomics databases) add far more coverage beyond what's listed here.
 - Protein: UniProt, PDB, AlphaFold DB
 - Chemical: PubChem, ChEMBL, DrugBank, ZINC, HMDB
 - Genomic: Ensembl, NCBI Gene, GEO, ENA, GWAS Catalog