AIエージェントの能力を拡張するClaudeスキルの完全なコレクションをご覧ください。
Orchestrates complex development plans by intelligently delegating implementation phases to specialized, context-isolated sub-agents.
Enforces dignified Python 3.13 coding standards for writing, reviewing, and refactoring robust and modern code.
Implements a defense-in-depth, fake-driven testing strategy for Python applications to improve test speed and reliability.
Optimizes advertising spend across channels through data-driven reallocation, performance-based scenario modeling, and strict financial guardrails.
Analyzes and segments company enrichment data to identify high-value accounts and trigger-based sales opportunities.
Automates the end-to-end development lifecycle by running quality checks, committing code, and generating pull requests.
Orchestrates end-to-end social media content lifecycles including planning, multi-stage approvals, and performance-driven workflows.
Facilitates cross-functional customer journey mapping through data-driven lifecycle analysis and stakeholder orchestration.
Streamlines Azure DevOps workflows by interactively creating structured User Stories with AI-powered content generation.
Performs deep security analysis of codebases to identify vulnerabilities, OWASP Top 10 risks, and insecure architectural patterns.
Automates the execution of multi-step implementation plans by dispatching fresh subagents for each task followed by iterative code reviews.
Simplifies the creation, validation, and rendering of secure, reusable web forms using the Nette Framework.
Executes multi-step implementation plans in controlled batches with built-in review checkpoints and mandatory verification.
Optimizes Nette framework configuration by managing NEON files, service definitions, and dependency injection patterns.
Provides non-invasive PHP debugging, profiling, and execution tracing tools powered by Xdebug.
Manages stacked pull requests and dependent branches using the Graphite (gt) command-line tool.
Eliminates flaky tests and race conditions by replacing arbitrary timeouts with smart, deterministic condition polling.
Automates a multi-agent design review process immediately following the creation of design documents to ensure technical and product readiness.
Automates the systematic discovery, resolution, and response to pull request feedback from AI bots and human reviewers.
Generates comprehensive GitHub issues with embedded TDD plans and autonomous agent instructions for full pull request lifecycle management.
Automates the code review process by dispatching specialized subagents to verify implementations against requirements before merging.
Executes systematic bug hunting through spec reconstruction and adversarial validation to identify high-confidence logic and language-specific flaws.
Applies Test-Driven Development principles to create robust, verified process documentation and specialized Claude Code skills.
Standardizes a rigorous, technical-first approach to processing and implementing code review feedback without performative agreement.
Validates and stress-tests AI skill documentation using a TDD-inspired Red-Green-Refactor cycle to ensure agent compliance under pressure.
Enforces high-quality testing standards by identifying and preventing common pitfalls like mock-testing and production code pollution.
Enforces mandatory protocols for skill discovery, brainstorming-first workflows, and task tracking to ensure consistent AI output quality.
Enforces a rigorous, four-phase debugging methodology to identify root causes and ensure reliable software fixes without guesswork.
Creates reusable, agent-executable slash commands to automate repetitive developer workflows.
Enforces a disciplined, skill-driven protocol by mandating the invocation of specialized tools before any response or action.
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