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thought-based-reasoning
This skill provides a structured guide to Chain-of-Thought prompting and its variants for improving LLM reasoning. It includes decision matrices, prompt templates, and research-backed patterns for techniques like Zero-shot CoT, Self-Consistency, Tree of Thoughts, and ReAct. The documentation helps users select appropriate methods for different reasoning tasks.
Gathering Requirements
This skill provides a structured methodology for clarifying user requirements before implementation. It guides through request classification, system investigation, targeted questioning, assumption resolution, and specification creation. The workflow helps prevent misunderstandings by systematically uncovering edge cases, performance expectations, and integration points.
citation-validator
Validates citations in research reports by checking presence, completeness, accuracy, and source quality. Provides structured reports with quality ratings and identifies unsupported claims. Useful for academic papers, technical reports, and content requiring factual verification.
prd
Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
planning-with-files
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring >5 tool calls. Supports automatic session recovery after /clear.
paper-2-web
Converts academic papers (LaTeX/PDF) into websites, videos, and posters. Handles multiple output formats with specific commands for each use case. Includes troubleshooting for large papers and complex math. Integrates with schematic generation for visual enhancement.
product-management
This skill helps product managers write PRDs, analyze features, synthesize research, and plan roadmaps. It provides structured templates and frameworks like RICE scoring. It integrates with codebases to reference technical constraints and generates actionable documentation within development workflows.
drugbank-database
Access and analyze 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.
requirements-analysis
This skill helps create and validate Product Requirements Documents using a structured template and iterative review cycles. It focuses on defining what to build and why, avoiding technical implementation details. Includes parallel agent research, multi-angle validation, and a detailed checklist.
scientific-schematics
Generates scientific diagrams for publications using Nano Banana Pro AI with Gemini 3 Pro quality review. Implements smart iteration that only regenerates images if they don't meet document-specific quality thresholds. Includes detailed guidelines for journal formatting and accessibility.
geo-database
Provides programmatic access to NCBI GEO database for gene expression data. Enables searching, downloading, and parsing microarray/RNA-seq datasets (GSE, GSM, GPL) with Python libraries like GEOparse and Biopython. Includes examples for data retrieval, metadata extraction, and expression analysis workflows.
denario
Denario automates scientific research workflows from data analysis to LaTeX paper generation using a multi-agent system. It guides users through idea generation, methodology development, computational experiments, and publication formatting with examples for time-series and ML projects.
implementation-planner
Generates structured implementation plans by analyzing codebases and GitHub issues. It spawns parallel research agents to gather context, follows language-specific guidelines, and produces four templated documents: research notes, context files, task checklists, and final plans. Useful for feature development and refactoring.
latex-posters
Provides detailed guidance for creating LaTeX research posters using beamerposter, tikzposter, or baposter. Includes layout design, figure integration, content adaptation strategies, and quality checklists. Mandates integration with scientific-schematics for AI-generated diagrams.
pubchem-database
Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.
ensembl-database
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
pyopenms
Provides Python bindings for the OpenMS library, enabling mass spectrometry data processing for proteomics and metabolomics. Handles file I/O, feature detection, peptide identification, and quantitative analysis workflows. Includes detailed examples for common tasks like loading mzML files and converting data to pandas DataFrames.
trend-researcher
This skill automates UI/UX trend research by navigating to Dribbble, taking screenshots, and analyzing design patterns. It identifies color schemes, typography, and layout trends to inform design decisions. The workflow includes fallback options when browser tools are unavailable.
got-controller
A Claude Skill that manages research as a graph, coordinating multiple agents to explore topics in parallel. It defines five core operations (Generate, Aggregate, Refine, Score, KeepBestN) and provides three execution patterns for different research scenarios. The skill tracks graph state and integrates with existing research tools.
pytdc
Provides standardized access to curated drug discovery datasets (ADME, toxicity, DTI) with scaffold splits and evaluation metrics. Simplifies benchmarking ML models for therapeutic tasks by handling data loading, splitting, and evaluation consistently.
startup-idea-validation
This skill provides a structured 9-dimension framework for validating startup ideas before development. It includes scoring for problem severity, market size, and unit economics, with clear GO/NO-GO thresholds. It offers templates for experiment planning and detailed guidance on evidence collection, helping founders avoid building based on assumptions.
clawdhub
A CLI tool for managing Claude Skills from clawdhub.com. It allows searching, installing, updating, and publishing skills directly from the command line. Useful for developers who need to fetch new skills dynamically or maintain their skill collection.
novelweave-workflow
This skill provides a structured workflow for using NovelWeave in fiction writing, covering planning, world-building, scene creation, and revision. It explains core commands like /constitution and /write with concrete examples and warns against common pitfalls like over-reliance on AI.
exploring-rust-crates
This skill generates Rust documentation for crates in the HASH workspace, helping developers understand crate APIs, module structures, and public interfaces. It provides specific cargo doc commands with flags like --no-deps and --all-features, and explains where to find generated HTML documentation.