Scripting

Creates or updates .daiv.yml configuration file with sandbox settings (base_image and format_code commands) based on repository content. Use when users request DAIV configuration setup or sandbox configuration.

PowerShell TDD testing framework guidance for Pester v5+. Use when writing, structuring, or debugging PowerShell unit tests; mocking cmdlets, native commands (bash, git, curl), or .NET types; isolating tests with TestDrive/TestRegistry; capturing output streams; generating code coverage or JUnit/NUnit reports for CI/CD; running parameterized or tagged tests; or troubleshooting Pester Discovery vs Run phase issues.

Executes implementation tasks using Test-Driven Development, prevents code duplication through anti-duplication checks, and maintains quality through continuous testing. Use when implementing features from tasks.md, during the /implement phase, or when the user requests TDD-based implementation. (project)

Minimal Chrome DevTools Protocol tools for browser automation and scraping. Use when you need to start Chrome, navigate pages, execute JavaScript, take screenshots, or interactively pick DOM elements.

Orchestrates end-to-end video generation through sequential workflow steps (audio, direction, assets, design, coding). Activates when user requests video creation from a script, wants to resume video generation, mentions "create video", "generate video", or "video workflow", requests running a specific step (audio, direction, assets, design, coding), asks to "create audio", "generate direction", "create assets", "generate design", or "code video components", or wants to resume a video. Manages workflow state tracking and parallel scene generation.

Identify memory leaks, inefficient allocations, and optimization opportunities in JavaScript/TypeScript and Python applications. Analyze heap snapshots, allocation patterns, garbage collection, and memory retention. Use when memory grows over time, high memory consumption detected, performance degradation, or when user mentions 'memory leak', 'memory usage', 'heap analysis', 'garbage collection', 'memory profiling', or 'out of memory'.

Apply Grey Haven database conventions - snake_case fields, multi-tenant with tenant_id and RLS, proper indexing, migrations for Drizzle (TypeScript) and SQLModel (Python). Use when designing schemas, writing database code, creating migrations, setting up RLS policies, or when user mentions 'database', 'schema', 'Drizzle', 'SQLModel', 'migration', 'RLS', 'tenant_id', 'snake_case', 'indexes', or 'foreign keys'.

Automatically generate Excel reports from data sources including CSV, databases, or Python data structures. Supports data analysis reports, business reports, data export, and template-based report generation using pandas and openpyxl. Activate when users mention Excel, spreadsheet, report generation, data export, or business reporting.

Progressive learning methodology for structured onboarding using time-boxed learning paths (Day-1, Week-1, Month-1), validation checkpoints, and scaffolding principles. Use when onboarding new contributors, reducing ramp-up time from weeks to days, creating self-service learning paths, systematizing ad-hoc knowledge sharing, or building institutional knowledge preservation. Provides 3 learning path templates (Day-1: 4-8h setup→contribution, Week-1: 20-40h architecture→feature, Month-1: 40-160h expertise→mentoring), progressive disclosure pattern, validation checkpoint principle, module mastery best practice. Validated with 3-8x onboarding speedup (structured vs. unstructured), 95%+ transferability to any software project (Go, Rust, Python, TypeScript). Learning theory principles applied: progressive disclosure, scaffolding, validation checkpoints, time-boxing.

Systematic technical debt quantification and management using SQALE methodology with value-effort prioritization, phased paydown roadmaps, and prevention strategies. Use when technical debt unmeasured or subjective, need objective prioritization, planning refactoring work, establishing debt prevention practices, or tracking debt trends over time. Provides 6 methodology components (measurement with SQALE index, categorization with code smell taxonomy, prioritization with value-effort matrix, phased paydown roadmap, trend tracking system, prevention guidelines), 3 patterns (SQALE-based quantification, code smell taxonomy mapping, value-effort prioritization), 3 principles (high-value low-effort first, SQALE provides objective baseline, complexity drives maintainability debt). Validated with 4.5x speedup vs manual approach, 85% transferability across languages (Go, Python, JavaScript, Java, Rust), SQALE industry-standard methodology.

Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to 80%+, creating test infrastructure with mocks and fixtures, building CLI test suites, or systematizing ad-hoc testing. Provides 8 documented patterns (table-driven, golden file, fixture, mocking, CLI testing, integration, helper utilities, coverage-driven gap closure), 3 automation tools (coverage analyzer 186x speedup, test generator 200x speedup, methodology guide 7.5x speedup). Validated across 3 project archetypes with 3.1x average speedup, 5.8% adaptation effort, 89% transferability to Python/Rust/TypeScript.

Generate images using the Doubao SeeDream API based on text prompts. Use this skill when users request AI-generated images, artwork, illustrations, or visual content creation. The skill handles API calls, downloads generated images to the project's /pic folder, and supports batch generation of up to 4 sequential images.

Master TDD orchestration with multi-agent coordination, strict red-green-refactor enforcement, automated test generation, coverage tracking, and >90% coverage quality gates. Coordinates tdd-python, tdd-typescript, and test-generator agents. Use when implementing features with TDD workflow, coordinating multiple TDD agents, enforcing test-first development, or when user mentions 'TDD workflow', 'test-first', 'TDD orchestration', 'multi-agent TDD', 'test coverage', or 'red-green-refactor'.

Multi-LLM orchestration implementing the 5-stage coding workflow: Example Analysis → Hypothesis → Implementation → Debug Loop → Recursive Improvement.Based on "Towards a Science of Scaling Agent Systems" (Kim et al., 2025): - Centralized Consult architecture (Claude orchestrates, others advise) - Measured coordination (avoid MAS overhead in tool-heavy stages) - Tests-first selection (Poetiq pattern, not voting)Use when: Debugging complex issues, analyzing unfamiliar code, refactoring, or any task that benefits from diverse LLM perspectives with verification.

Automatically fix TypeScript compilation errors, type mismatches, and type inference issues. Use when TypeScript compiler shows errors or when type definitions need correction.

Python development best practices and modern tooling with uv. USE WHEN writing Python code, managing dependencies, testing, type checking, or working with Python projects.

This skill provides guidance for translating RStan (R-based Stan interface) code to PyStan (Python-based Stan interface). It should be used when converting Stan models from R to Python, migrating Bayesian inference workflows between languages, or adapting R data preparation logic to Python equivalents.

Narrative templates for git history documentation. Used by /git:code-story command.

Research external open-source repositories to learn patterns and implementations.This skill should be used when agents need to study external codebases, check forexisting research before cloning, manage temporary workspaces, and persist findingsto the global thoughts system. Triggers include: studying external repos, learningfrom open source, cloning for pattern research, or checking what has been researched.

Guidance for cross-compiling complex C programs (like Doom) to run on custom MIPS virtual machines or emulators. This skill should be used when tasked with building software for non-standard MIPS targets that use custom syscall interfaces, require freestanding compilation (-nostdlib), or involve running binaries in JavaScript/custom VM environments.