探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Enforces the strict Red-Green-Refactor cycle to ensure high code quality and test coverage in AI-assisted development.
Provides advanced protein language model capabilities for sequence generation, structure prediction, and functional design using ESM3 and ESM C.
Automates fetching container digests and deploying updated NixOS hosts using Colmena and Just.
Maps NIST SP 800-53 security controls to official FedRAMP requirements and implementation guidance.
Conducts deep, investigative interviews to uncover non-obvious constraints and refine technical plans before generating comprehensive specifications.
Manages Microsoft Fabric workspaces, semantic models, lakehouses, and job execution using the fab CLI via a file-system metaphor.
Facilitates machine learning on genomic interval data, including embeddings for BED files and single-cell ATAC-seq analysis.
Automates computational pathology workflows by processing whole-slide images and multiparametric data for machine learning analysis.
Provides AI-ready drug discovery datasets, standardized benchmarks, and molecular oracles for therapeutic machine learning.
Enforces high-integrity coding standards and professional accountability during complex or high-pressure development tasks.
Streamlines the development of server-side mods, plugins, and custom gameplay systems for the Hytale voxel sandbox RPG.
Guides the creation and optimization of custom Claude Code skills to extend AI capabilities with specialized knowledge and workflows.
Automates the end-to-end deployment of NixOS servers on Proxmox using Colmena and Nix flakes.
Simplifies FedRAMP compliance by analyzing FRMR documents and mapping security controls directly within Claude Code.
Manages Woodpecker CI pipelines, secrets, and repository configurations through a comprehensive command-line interface guide.
Manages NixOS deployments and Proxmox LXC containers using Colmena and specialized troubleshooting workflows.
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using the specialized Aeon toolkit.
Implements a professional Getting Things Done (GTD) workflow by integrating Apple Reminders with intelligent AI coaching and inbox processing.
Analyzes feature requirements, technical dependencies, and security risks directly from GitHub issues to streamline implementation planning.
Refactors complex Go codebases using automated metrics and BAIME-aligned protocols to reduce cyclomatic complexity and improve test coverage.
Implements a systematic API design methodology with validated patterns and automated quality enforcement for consistent, evolvable backend services.
Accelerates development workflows by optimizing iteration cycles to reach methodology convergence 40-60% faster.
Standardizes error handling, logging, and configuration patterns across codebases using systematic pattern extraction and automated enforcement.
Streamlines technical documentation creation using empirically validated templates, writing patterns, and automated quality checks.
Manages software dependencies through security-first prioritization and batch remediation to ensure policy compliance and reduce technical debt.
Transforms subjective code debt into objective, data-driven paydown strategies using the industry-standard SQALE methodology.
Validates methodology effectiveness using historical session data to predict performance without the risks of live deployment.
Constructs compact, high-performance subagent prompts for Claude Code using symbolic logic and lambda contracts.
Tracks and optimizes the emergence of specialized AI agents to improve workflow performance and prompt reusability.
Systematically develops and validates software engineering methodologies using the Observe-Codify-Automate (OCA) cycle.
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