Product & Planning

ntizar Bundle

Descubrir, comparar y planificar la instalación de skills del hub oficial de Hermes Agent — escaneo del catálogo, comparación con skills instalados, priorización por relevancia y planificación de cron de aprendizaje.

marielynneblock Bundle

PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modelling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.

marielynneblock Bundle

Access RCSB PDB for 3D protein/nucleic acid structures. Search by text/sequence/structure, download coordinates (PDB/mmCIF), retrieve metadata, for structural biology and drug discovery.

marielynneblock Skill

Produces a stakeholder map structured around the classic influence × interest grid (also called a power/interest matrix). It classifies each stakeholder, recommends an engagement strategy per quadrant, and surfaces alignment risks — stakeholders who are high-influence but opposed or unengaged.

marielynneblock Bundle

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

marielynneblock Bundle

Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

marielynneblock Bundle

Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.

marielynneblock Bundle

Query the Monarch Initiative knowledge graph for disease-gene-phenotype associations across species. Integrates OMIM, ORPHANET, HPO, ClinVar, and model organism databases. Use for rare disease gene discovery, phenotype-to-gene mapping, cross-species disease modelling, and HPO term lookup.

marielynneblock Bundle

Access and analyse comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should be used when working with pharmaceutical data, drug discovery research, pharmacology studies, drug-drug interaction analysis, target identification, chemical similarity searches, ADMET predictions, or any task requiring detailed drug and drug target information from DrugBank.

marielynneblock Bundle

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyse confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

marielynneblock Bundle

Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimisation, polypharmacology analysis, and structure-activity relationship (SAR) studies.

marielynneblock Skill

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.

marielynneblock Bundle

Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.

marielynneblock Bundle

Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organise workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.

miuav Skill

跨机器通信技能 - 网络配置、Discovery 加速、安全通信

event4u-app Skill

Use when setting up Traefik as a local reverse proxy — real domains on 127.0.0.1, trusted HTTPS via mkcert, automatic service discovery, and multi-project routing.

event4u-app Bundle

Use when polling external AIs (OpenAI, Anthropic) outside the host session for a neutral second opinion on a roadmap, diff, prompt, or file set — or 'cross-check with another model'.

event4u-app Skill

Use when materialising a roadmap into a ticket bundle — 'turn this roadmap into tickets', 'materialise tickets', 'mach Tickets aus der Roadmap', 'emit tickets for this plan'.

event4u-app Skill

Use when shaping a fuzzy product ask into a refined backlog item — problem framing, user-story rewrite, AC tightening — even if the user just says 'help me write this ticket'.

tangledgroup Bundle

Complete toolkit for Prometheus 3.11.3 covering configuration, PromQL querying, service discovery, rules, alerting, and storage. Use when deploying or configuring Prometheus servers, writing PromQL queries, setting up scrape configs and service discovery, authoring recording or alerting rules, tuning TSDB retention, integrating with Alertmanager, or managing remote read/write endpoints.

tangledgroup Bundle

Autonomous AI coding loop that runs AI coding tools (Amp or Claude Code) repeatedly until all PRD items are complete. Each iteration is a fresh instance with clean context. Memory persists via git history, progress.txt, and prd.json. Use when building features hands-free through iterative AI loops, shipping code while away, or implementing spec-driven development with the Ralph Wiggum technique.

tangledgroup Bundle

Write, run, and debug Python tests with pytest 9.1.0. Use when the user mentions pytest, writing tests, test fixtures, parametrization, test discovery, conftest.py, pytest plugins, test marks, skip/xfail, monkeypatch, tmp_path, capsys, caplog, assertion rewriting, or any Python testing task.

tangledgroup Bundle

Autonomous coding agent that scans codebases, generates feature specs via AI interviews, and runs Ralph loops via Claude Code, Codex CLI, or any CLI-based agent. Reads GitHub backlog, runs loops, and auto-merges PRs. Use when automating feature development end-to-end, running autonomous coding loops, managing GitHub backlogs with AI, or implementing the Ralph loop methodology.

marielynneblock Bundle

Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.

marielynneblock Bundle

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardisation, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

internscience Bundle

当用户明确要求"生成 NSFC 技术路线图/技术路线图绘制/roadmap/flowchart"或需要把标书研究内容转成"可打印、A4 可读"的技术路线图时使用。默认输出可编辑源文件（`.drawio`）与可嵌入文档的渲染结果（`.svg`/`.png`/`.pdf`）；当用户主动提及 Nano Banana/Gemini 图片模型时，可切换为 PNG-only 模式。⚠️ 不适用：用户只是想修改某张已有图片的格式/尺寸（应使用图片处理技能）、只是想润色技术路线文字描述（应直接改写正文）。

internscience Skill

Virtual Screening Pipeline - Virtual screening: search PubChem by substructure, compute similarity, filter by drug-likeness, and predict binding affinity. Use this skill for drug discovery tasks involving search pubchem by smiles calculate smiles similarity calculate mol drug chemistry boltz binding affinity. Combines 4 tools from 3 SCP server(s).

internscience Skill

Biomarker Discovery Pipeline - Discover biomarkers: TCGA differential expression, NCBI gene data, OpenTargets associations, and clinical relevance. Use this skill for precision medicine tasks involving tcga differential expression analysis get gene metadata by gene name get associated targets by disease efoId clinvar search. Combines 4 tools from 4 SCP server(s).

internscience Skill

Gene-to-Drug Discovery Pipeline - Full gene-to-drug pipeline: gene lookup, protein structure, binding pocket, virtual screening, and drug-likeness. Use this skill for translational medicine tasks involving get gene metadata by gene name pred protein structure esmfold run fpocket boltz binding affinity calculate mol drug chemistry. Combines 5 tools from 3 SCP server(s).

internscience Skill

Disease-Drug Landscape Analysis - Map the drug landscape for a disease: OpenTargets disease drugs, FDA indications, and clinical studies. Use this skill for drug discovery tasks involving get associated drugs by target name get drug names by indication get clinical studies info by drug name. Combines 3 tools from 2 SCP server(s).

internscience Skill

Predict protein-ligand binding affinity using Boltz-2 model to assess molecular interactions and binding probability for drug discovery.

internscience Skill

Drug Repurposing Screening - Screen existing drugs for new indications by querying FDA indications, ChEMBL mechanisms, and OpenTargets drug-disease associations. Use this skill for drug discovery tasks involving get indications by drug name get mechanism of action by drug name get drug by name get associated drugs by target name. Combines 4 tools from 3 SCP server(s).

internscience Skill

Disease-Specific Compound Screening - Screen compounds for disease: get DLEPS score for disease relevance, predict ADMET, and check drug-likeness. Use this skill for drug discovery tasks involving calculate dleps score pred molecule admet calculate mol drug chemistry get compound by name. Combines 4 tools from 3 SCP server(s).

internscience Skill

Drug Target Identification Pipeline - Identify drug targets for a disease by querying OpenTargets for associated targets, then retrieve detailed target info from ChEMBL and protein data from UniProt. Use this skill for drug discovery tasks involving get associated targets by disease efoId get target by name get general info by protein or gene name. Combines 3 tools from 3 SCP server(s).

internscience Skill

Predict a molecule's ability to reverse disease states using DLEPS (Disease-Ligand Embedding Projection Score) for drug repositioning and discovery.

swan-gtm Bundle

Defines and refines who the org sells to. Use for ICP discovery, segment refinement, new segment creation, persona definition, and tightening the rubric used by scoring and outreach.