探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Standardizes build, test, and developer experience workflows to ensure repeatable and reliable project execution.
Executes complex implementation plans by dispatching fresh subagents for individual tasks with automated code review gates.
Axiomatizes time-directed homotopy and reaction progress using directed intervals for chemical and topological computations.
Replaces temporal succession with deterministic seed-based derivation chains using GF(3) invariants.
Persists session context, summaries, and codebase insights to maintain continuity across multiple coding tasks.
Applies SOLID principles and Clean Code patterns to ensure maintainable, simple, and pragmatic software architecture.
Analyzes code coverage reports to identify testing gaps and suggests high-priority test cases for critical application paths.
Implements Darwin Gödel Machine patterns to enable autonomous code evolution and self-improvement for AI agents.
Verifies code, documentation, and implementations through multi-model consensus to ensure accuracy and compliance with requirements.
Identifies and removes unused files, deprecated features, and disabled code blocks to maintain a lean and efficient codebase.
Enables secure distributed object programming and capability-based security using the Capability Transfer Protocol.
Validates the implementation and serialization of Vulkan extensions within the Lavatube tracer framework.
Monitors real-time social media interactions and engagement patterns using MCP and DuckDB persistence.
Measures and optimizes data complexity by finding the shortest program representation to evaluate intelligence and algorithmic efficiency.
Assesses and enhances software projects for enterprise-grade security, quality, and supply chain automation.
Automates the migration of legacy UserDefaults storage to modern SwiftData entities and PreferencesStore architectures.
Implements Schmidhuber's compression-based intrinsic reward to drive curiosity and exploration in learning systems.
Eliminates flaky tests and race conditions by replacing arbitrary timeouts with intelligent state polling.
Synthesizes and propagates formal constraints across complex code paths to enable automatic refinement typing and proof generation.
Measures and optimizes data complexity by finding the shortest algorithmic representation to evaluate intelligence and information density.
Enables Lisp-machine-inspired self-modification and cognitive continuity for AI agents using MCP Tasks and Narya bridge types.
Implements Bengio's Generative Flow Networks for diverse, reward-proportional sampling in molecule design and causal discovery.
Implements advanced topological coordination and distributed reasoning using sheaf theory for multi-agent systems.
Guides the design and implementation of scalable distributed systems using proven architectural patterns and resilience strategies.
Breaks complex development objectives into small, actionable sub-tasks to improve momentum and project clarity.
Monitors and diagnoses the health, scheduling, and operational status of the Samara autonomous organism.
Applies structured cognitive frameworks and decision-quality checklists to identify and mitigate subconscious biases in strategic thinking and technical planning.
Enforces a rigorous evidence-based protocol to verify code correctness and task completion before making any success claims.
Enforces rigorous evidence-based validation before any coding task is marked as complete, fixed, or ready for production.
Reduces token consumption and improves response precision by transforming verbose requests into concise, high-impact commands.
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