All Skills

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Verification-before-completion is a core principle that mandates running verification commands and confirming output before claiming work is complete or passing

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receiving-code-review is an AI agent skill that provides a structured protocol for processing code review feedback. It emphasizes technical verification and understanding before implementation to prevent the merging of unclear or technically questionable suggestions.

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Brainstorming is an AI Agent Skill that facilitates a structured, collaborative dialogue to explore user intent and project requirements. It acts as a mandatory hard-gate to generate and get approval on a complete design specification before any code is written or implementation actions are taken.

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finishing-a-development-branch is an AI agent skill that manages the final stages of development work. It follows a core principle of verifying tests, presenting integration options (merge, PR, or cleanup), executing the chosen workflow, and cleaning up the branch to maintain repository hygiene.

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requesting-code-review is an AI Agent skill that automates code review by dispatching a 'superpowers:code-reviewer' subagent. It is triggered after tasks, major features, or before merging to main, using git SHAs to identify changes for review.

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executing-plans is an AI agent skill for executing a pre-written implementation plan. Its core principle is batch execution with checkpoints, requiring the agent to load a plan file, review it critically, and report for human partner review between batches.

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api-design is a set of guidelines and patterns for creating consistent and maintainable REST APIs, including resource naming, URL structure, and versioning strategies.

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cpp-coding-standards is a set of guidelines for writing modern, safe, and idiomatic C++ code, derived from the C++ Core Guidelines.

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django-verification is a verification loop for Django projects that checks migrations, linting, tests with coverage, security scans, and deployment readiness before release or PR.

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foundation-models-on-device is an AI Agent Skill that provides implementation patterns for Apple's FoundationModels framework. It enables on-device LLM capabilities including text generation, guided generation with @Generable, custom tool calling, and snapshot streaming for iOS 26+ applications.

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nutrient-document-processing is a skill that enables developers to process, convert, and extract data from documents using the Nutrient DWS API, supporting various file formats and operations

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python-patterns is an AI agent skill that delivers idiomatic Python patterns and best practices for building robust, efficient, and maintainable applications. It emphasizes readability, PEP 8 standards, and type hints for professional Python development workflows.