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pymatgen
Provides Python-based tools for materials science research, including crystal structure manipulation, file format conversion, phase diagram calculation, and direct access to the Materials Project database. It handles common computational chemistry workflows and integrates with VASP, Quantum ESPRESSO outputs.
ops-security-audit
Provides a structured six-phase workflow for infrastructure security audits, from scoping to verification. Includes specific templates for audit plans, scanning commands, review checklists, compliance mapping, and remediation tracking. Clearly defines triggers and when to use related skills.
clinicaltrials-database
Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.
product-management
Provides ready-to-use templates for core product management tasks like customer interviews, outcome roadmaps, OKRs, and 1:1 meetings. Includes a decision tree to guide users to the right template. Focuses on operational execution over theory, with clear do/avoid guidelines.
pubchem-database
This skill provides programmatic access to PubChem's chemical database via Python. It enables searching compounds by name, CID, or SMILES, retrieving molecular properties, performing similarity/substructure searches, and accessing bioactivity data. The documentation includes clear code examples for common cheminformatics tasks.
scientific-brainstorming
This skill provides a structured conversational framework for scientific brainstorming, guiding researchers through five phases from context understanding to synthesis. It offers specific techniques like cross-domain analogies and assumption reversal, with adaptive methods for different collaboration dynamics. The workflow is clearly documented with practical examples and references to additional methodologies.
pricing-strategy
This skill provides a structured framework for developing product pricing strategies. It guides users through five phases: context gathering, model analysis, competitive research, value assessment, and final recommendations. The output is a detailed markdown report suitable for stakeholder review.
oracle-codex
Uses OpenAI Codex CLI as a planning and code review assistant. Provides structured workflows for architecture analysis and code quality checks with configurable reasoning levels. Enforces read-only mode to prevent unintended modifications and includes prerequisite validation.
trading-plan-generator
This skill generates structured trading plans covering risk management, position sizing, entry/exit rules, and psychology. It provides templates for different trading styles and enforces discipline through checklists and accountability systems.
pdb-database
This skill provides programmatic access to the RCSB Protein Data Bank for searching and downloading 3D molecular structures. It supports text, sequence, and structure similarity searches, file downloads in multiple formats, and metadata retrieval. The documentation includes extensive code examples for common structural biology workflows.
cirq
This skill provides a Claude interface to Google's Cirq quantum computing framework. It enables building, simulating, and running quantum circuits on simulators and real hardware from Google, IonQ, AQT, and Pasqal. The documentation includes templates for variational algorithms, hardware execution, and noise studies, with practical guidance on circuit optimization and error mitigation.
refactor
This skill automates code refactoring analysis by orchestrating parallel exploration agents across code quality categories. It follows a structured 5-step workflow from discovery to actionable recommendations, with configurable scope based on project size. The tool enforces immediate script execution without preliminary analysis.
openalex-database
Provides Python tools for querying OpenAlex, a database of 240M+ scholarly works. Includes client for API calls and helper functions for common research tasks like finding papers by author, analyzing publication trends, and identifying open access publications. Emphasizes best practices like using email for rate limits and two-step entity lookups.
startup-fundraising
A structured guide for startup founders navigating fundraising from pre-seed to later stages. It provides decision frameworks, round sizing calculations, valuation methods, pitch preparation, and term sheet analysis. Includes practical templates for investor updates and data room organization.
linear-usage
Provides structured guidelines for writing Linear issues and managing projects. Includes templates for bug reports and feature requests, label taxonomy, priority levels, and sprint planning advice. Focuses on practical implementation rather than tool-specific automation.
budget-creation
A highly structured and comprehensive budgeting workflow skill with excellent clarity, robust error handling, and strong pressure resistance for corporate financial planning.
oracle-gemini
A well-structured skill that uses Gemini as an oracle for code review and planning, with clear boundaries, robust error handling, and thoughtful model selection guidance.
gwas-database
This skill provides programmatic access to the NHGRI-EBI GWAS Catalog for querying SNP-trait associations. It includes Python code examples for API calls, explains data structure, and covers variant, trait, and gene searches. The documentation details when to use it and includes practical query patterns for genetic epidemiology work.
prompt-improver
This skill transforms vague user prompts into actionable requests through systematic research and targeted questioning. It follows a 4-phase workflow: research, question generation, user clarification, and execution. The skill only activates when a hook detects ambiguous prompts, preventing unnecessary interruptions for clear requests.
flaky-fix
This skill analyzes flaky test patterns and suggests or applies fixes based on research from FlakyFix and FlaKat. It categorizes common issues like timing dependencies, async problems, and shared state, providing concrete code examples for each fix. It distinguishes between safe auto-fixes and those needing manual review.
hypogenic
Automates hypothesis generation and testing from tabular data using LLMs. Combines literature insights with empirical patterns through three methods: data-driven generation, literature integration, and hybrid approaches. Includes Redis caching, parallel processing, and configurable prompts for systematic research exploration.
integrating-usgs-gauges
This skill provides navigation to USGS gauge integration workflows for HEC-RAS hydraulic modeling. It points to existing documentation and code examples rather than duplicating content, covering spatial discovery, data retrieval, boundary condition generation, and model validation with metrics like NSE and KGE.
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.
pubmed-database
Provides direct REST API access to PubMed with detailed guidance on constructing Boolean/MeSH queries, using E-utilities API, and managing citations. Includes practical workflows for literature searches, systematic reviews, and programmatic data extraction with specific examples and troubleshooting advice.