探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Identifies recurring failure patterns in architectures, project timelines, and team processes to mitigate risks before they escalate.
Enforces spec- and test-driven development workflows by ensuring project initialization and adherence to defined specifications.
Implements scalable C++ server-side architectures using CMake, vcpkg, and industry-standard design patterns.
Guides developers through their first complete OpenSpec workflow cycle by implementing real tasks within their codebase.
Manages and organizes knowledge base entries through merging, archiving, and rescoping operations with built-in safety backups.
Implements automated data quality checks, metrics, and validity rules to maintain data integrity and observability.
Maps and analyzes data dependencies to identify upstream sources and downstream consumers for impact assessment.
Simplifies parallel development by automating the creation and configuration of isolated Git worktrees.
Triggers AI-powered analysis to generate intelligence, schema descriptions, and knowledge bases for your data assets.
Automates Claude Code execution within CI/CD pipelines, pre-commit hooks, and non-interactive batch processing workflows.
Detects performative code, test theater, and misleading implementation patterns to ensure codebase integrity and functional reliability.
Verifies the reliability and idempotency of installation scripts using isolated Docker containers.
Simulates and previews data monitoring configurations to prevent alert fatigue and ensure threshold accuracy before deployment.
Generates comprehensive ad-hoc data briefs including metric definitions, dimensions, and key findings from business data sources.
Identifies and validates hidden technical assumptions to prevent logic errors and edge-case bugs before implementation.
Automates the entire Java development lifecycle by orchestrating feature implementation, build fixes, unit testing, and standards verification.
Refines and validates AI coding requests through iterative analysis of technical requirements and project architecture.
Generates interactive technical quizzes and knowledge checks to reinforce learning through research-backed question sets and performance tracking.
Implements a robust workflow that prioritizes algorithmic correctness through naive implementations before applying performance optimizations.
Generates and analyzes JavaScript test coverage reports to identify untested code paths and improve application reliability.
Provides expert guidance on selecting software, content, and multi-licensing strategies for developers and creators.
Enforces standardized Java logging practices by validating LogRecord usage, ensuring test coverage, and organizing message identifiers.
Distills project governance principles from CONSTITUTION.md into actionable, verifiable implementation checklists.
Design, manipulate, and export Penpot UI components and layouts directly within Claude Code.
Analyzes repository history to automatically learn, cache, and enforce consistent git commit message patterns.
Automates the final stages of a Git worktree workflow, including PR creation, merging, and environment cleanup.
Enables autonomous AI iteration by defining testable success criteria and declarative goals instead of manual step-by-step instructions.
Streamlines the integration of databases and data warehouses into the AnomalyArmor observability platform.
Refines UI implementations through a screenshot-based feedback loop to ensure pixel-perfect alignment with design mocks.
Orchestrates multiple parallel Claude instances to accelerate development through writer-reviewer patterns and specialist agent workflows.
Scroll for more results...