探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Provides a minimal, structured framework for testing skill parsing and metadata separation within AI coding environments.
Standardizes Git branching strategies, naming conventions, and merge operations to maintain a clean and professional repository history.
Facilitates high-quality software development through systematic PR checklists and automated pre-commit quality gates.
Builds, optimizes, and executes quantum circuits and algorithms across various hardware providers and simulators.
Automates digital pathology image processing and tile extraction for whole slide images in deep learning pipelines.
Standardizes code style and formatting practices to improve readability and maintain consistency across development teams.
Guides users through a complete OpenSpec workflow cycle by performing real work on their codebase while narrating best practices.
Processes and analyzes genomic data formats including BAM, VCF, and FASTA using a Pythonic interface to htslib.
Identifies and reports application performance degradations within CI/CD pipelines by analyzing metrics against historical baselines.
Standardizes AI tool configuration by creating and maintaining structured instruction files like CLAUDE.md and .cursorrules.
Queries and interprets NCBI ClinVar data to provide standardized genetic variant classifications and clinical significance evidence.
Syncs incremental specification changes from feature deltas into the main project documentation using intelligent merging.
Provides comprehensive guidance and best practices for building robust, secure, and scalable integrations with external APIs.
Optimizes project structure and documentation layers to maximize AI comprehension and coding accuracy.
Monitors and analyzes new cryptocurrency token launches, IDOs, and on-chain metrics to provide real-time market insights and risk assessments.
Synchronizes delta specifications from a change branch to main project requirements using intelligent agent-driven merging.
Automates the enforcement of data types, referential integrity, and custom business rules across database schemas to ensure high-quality data storage.
Synchronizes incremental specification changes into main project documentation using intelligent agent-driven merging.
Validates application authentication implementations against security best practices and industry standards to identify vulnerabilities.
Evaluates and enhances software test completeness using a rigorous 8-dimensional framework to ensure robust code quality.
Optimizes database query performance through intelligent index design, implementation, and automated performance validation.
Identifies and remediates exposed secrets, API keys, and credentials within codebases using advanced pattern matching and entropy analysis.
Optimizes machine learning model performance by automating feature creation, selection, and complex data transformations.
Automates the rapid generation of all necessary OpenSpec artifacts to streamline the transition from concept to implementation.
Synchronizes incremental requirement changes into main project specifications using intelligent AI merging.
Generates interactive neobrutalism-styled HTML presentations and high-resolution exports from structured content or Markdown.
Evaluates research rigor and methodology through systematic assessment of statistical validity, biases, and evidence quality.
Conducts structured, empathetic career interviews to transform professional journeys into high-impact portfolios, CVs, and personal brand assets.
Analyzes and extracts health metrics from local Apple Health SQLite databases, supporting multiple output formats including FHIR R4.
Manages project-specific plugin settings and state using a standardized YAML frontmatter and Markdown file pattern.
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