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using-pm-team
A structured pre-development workflow system with two tracks (Small/Large) for feature planning. It enforces research-first approach with 10 planning skills and 3 research agents, producing documents like PRDs, TRDs, and task breakdowns before coding begins.
zinc-database
This skill provides programmatic access to the ZINC database of 230M+ purchasable compounds for drug discovery research. It enables searching by ZINC ID, SMILES similarity, supplier codes, and random sampling. Includes Python examples for API integration and parsing results for virtual screening workflows.
discover-ml
This skill automatically activates when Claude detects machine learning work and provides access to 25 ML-related sub-skills. It uses a progressive loading approach: first the gateway, then category index, then specific skills. The skill lists available ML tools for evaluation, fine-tuning, RAG, and DSPy workflows.
sql-research
Guide for researching SQL syntax and behavior for database backends. Use when you need to research how a SQL function, command, or feature works in a specific database before implementing it in dbplyr.
etetoolkit
Provides Python-based phylogenetic tree manipulation, evolutionary event detection, orthology analysis, NCBI taxonomy integration, and publication-quality tree visualization. Includes ready-to-use scripts for common operations like tree pruning, format conversion, and ASCII display.
denario
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
create-plans
This skill generates executable project plans for solo developers working with Claude. It enforces strict context limits, automates deviations, and treats plans as direct prompts. The system handles briefs, roadmaps, phase planning, and context handoffs with embedded rules for bug fixes and scope control.
pre-dev-api-design
Enforces a contract-first API design phase before technology selection. Provides clear rules for abstract interface definition, a validation checklist, and templates to document operations, events, and constraints without protocol details.
ai-llm-inference
Provides concrete operational patterns for optimizing LLM inference, covering latency budgeting, batching, quantization, and parallelism. Includes decision trees and configuration templates for production deployment. Focuses on measurable performance improvements and cost control.
research
This skill coordinates up to 10 parallel research agents (Perplexity, Claude, Gemini) to gather information on user topics. It decomposes questions into sub-questions, runs agents simultaneously, and synthesizes results with source attribution in under a minute instead of sequential 5-10 minute searches.
epic-scoping
This skill provides structured scoping for software epics through a 5-round interactive question bank. It replaces unstructured discussions with systematic questioning, automatically populating an epic specification document. The conditional logic adapts questions based on previous answers, and it provides clear progress indicators throughout the process.
design
A structured framework for guiding designers through early-stage exploration, focusing on research, ideation, and evidence-based decision-making. It enforces asking for missing information, tracking input confidence, and generating multiple options before converging.
crypto-research
Comprehensive cryptocurrency market research and analysis using specialized AI agents. Analyzes market data, price trends, news sentiment, technical indicators, macro correlations, and investment opportunities. Use when researching cryptocurrencies, analyzing crypto markets, evaluating digital assets, or investigating blockchain projects like Bitcoin, Ethereum, Solana, etc.
Creating Financial Models
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
clarification-phase
Executes the /clarify phase using AskUserQuestion tool to resolve ambiguities through structured questions (≤3), prioritization, and answer integration. Use when spec.md contains [NEEDS CLARIFICATION] markers, when requirements need disambiguation, or when running /clarify command to resolve critical scope/security/UX ambiguities before planning. (project)
pre-dev-research
A well-structured research-first workflow tool that systematically gathers codebase patterns, best practices, and documentation before development planning, reducing implementation risks.
uniprot-database
This skill provides direct REST API access to UniProt for protein searches, FASTA retrieval, and ID mapping. It includes Python client functions for searching, getting proteins, mapping IDs, and streaming results. The documentation covers query syntax, field selection, and implementation examples for biological workflows.
brave-search
A command-line tool for performing web searches and extracting page content using the Brave Search API. It returns results in a structured format with optional markdown content extraction, useful for developers needing programmatic web access.
react-specialist
This Claude Skill provides structured guidance for developing React 18+ applications with modern patterns. It includes checklists for architecture planning, implementation workflows, and performance tracking. Covers state management options, testing strategies, and component patterns common in professional React development.
research-analyst
A research assistant skill that uses Read, Write, WebSearch, WebFetch, and Grep tools to gather, analyze, and synthesize information. It follows a structured methodology with defined phases for planning, implementation, and quality control, aiming to produce actionable reports. It includes a communication protocol for context assessment and progress tracking.
create-plans
Creates executable project plans optimized for solo developers working with Claude. Focuses on atomic task breakdown, context-aware scope control, and automated deviation handling. Outputs are structured prompts that Claude can directly execute, with built-in checkpoints and handoff protocols.
gene-database
Provides Python scripts to query NCBI Gene database via E-utilities and Datasets APIs. Supports searching by symbol/ID, retrieving gene metadata (RefSeqs, GO terms, phenotypes), batch lookups, and multiple output formats. Includes rate limit handling and clear API usage patterns.
typed-holes-refactor
Provides a structured methodology for refactoring using typed holes, treating architectural unknowns as formal constraints. Includes concrete scripts for hole discovery, validation tests, constraint propagation, and production readiness gates. Focuses on preserving existing behavior while systematically resolving technical debt.
planning-phase
Generates implementation plans with code reuse analysis, architecture design, and complexity estimation during the /plan phase. Use when planning feature implementation, analyzing code reuse opportunities, or designing system architecture after specification phase completes. Integrates with 8 project documentation files for constraint extraction. (project)