claude-opus-4-5-migration
Migrate your codebase, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to the advanced Opus 4.5 model with automated configuration adjustments.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
468 skills found
Migrate your codebase, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to the advanced Opus 4.5 model with automated configuration adjustments.
A framework for software teams and AI agents to prevent feature creep, enforce scope discipline, and ship focused MVPs by applying strict validation, backlog hygiene, and clear decision-making processes.
Orchestrates complex multi-agent software development using a structured Royal Navy squadron metaphor, featuring mission planning, parallel task coordination, and rigorous audit logs.
Master advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from repository issues.
Diagnoses and resolves common Flutter runtime and layout errors such as RenderFlex overflow, unbounded constraints, and state management issues.
Comprehensive smart contract testing skill for Hardhat and Foundry, featuring unit tests, integration suites, gas optimization, fuzzing, and mainnet forking.
Applies current Go testing best practices, including concurrent testing, mocking, and table-driven design for robust software development.
Configure and optimize Nx monorepo workspaces. Use for project boundaries, build caching, library organization, and implementing affected commands.
Generate, validate, and refine Mermaid diagrams including flowcharts, sequence diagrams, ERDs, and architecture maps to visualize complex software systems and workflows.
Manage and automate your Obsidian knowledge base using a CLI tool to search, create, move, and refactor Markdown notes directly.
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.