持續整合/部署

Generate and execute code for acting with Python tools. Activate when user explicitly requests to "use the codeact skill" or similar phrases.

Persistent graph-based memory for AI agents via KIP (Knowledge Interaction Protocol). Provides structured knowledge storage (concepts, propositions), retrieval (KQL queries), schema discovery (META), and memory metabolism. Use when: (1) remembering user preferences, identities, or relationships across sessions, (2) storing conversation summaries or episodic events, (3) building and querying knowledge graphs, (4) the user says "remember this", "what do you know about me", or asks about past conversations, (5) needing to maintain context continuity across sessions. Requires HTTP access to a KIP backend (anda_cognitive_nexus_server).

Collaborative problem-solving protocols: write technical specifications (spec), create implementation plans (plan), or use Discuss-Then-Do Protocol (dtdp). Also generates PR messages.

This skill should be used when the user asks to "write documentation", "create README", "API docs", "design document", "specification", "user guide", or needs documentation guidance. Provides comprehensive documentation patterns for developers, teams, and end-users in both English and Japanese.

Builds, tests, and formats ComposeWebView multiplatform library. Handles Android, iOS, Desktop (JVM), and Web (JS) platforms. Use when building, testing, running Spotless formatting, or checking platform-specific code. Supports expect/actual pattern workflows.

This skill should be used when the user asks to "define requirements", "create specification", "clarify requirements", "write requirements document", or mentions requirement analysis. Provides comprehensive requirements definition methodology.

Applies a voice profile to transform content. Use when user asks to write in a specific voice, match a tone, apply a style, or transform content to sound like a particular voice profile.

Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authenticity, or natural voice.

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

Configure TDD enforcement via pre-commit hooks and CI coverage gates. Use when setting up test-first development workflow, adding coverage gates, or enforcing TDD practices.

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

Configure TDD enforcement via pre-commit hooks and CI coverage gates. Use when setting up test-first development workflow, adding coverage gates, or enforcing TDD practices.

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

Analyze GitHub repositories for structure, documentation, dependencies, and contribution patterns. Use for codebase understanding and health assessment.

Applies a voice profile to transform content. Use when user asks to write in a specific voice, match a tone, apply a style, or transform content to sound like a particular voice profile.

Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.

Rapid incident classification, severity assessment, and response coordination. Use when relevant to the task.

Multi-stage quality assurance protocol for marketing assets with channel-specific validation. Use when relevant to the task.