Plan worthwhile local tasks by checking dependencies, effects, resources, and platform boundaries, then execute the exact approved plan. It can use safe parallel work or suitable Apple-silicon backends when the project exposes them.

• Speed up independent local build or test steps
• Plan a task with several dependency-linked operations
• Choose an Apple-silicon backend for supported numerical or media work

Record deferred engineering decisions and temporary workarounds in a debt registry, with context such as effort, ongoing cost, affected area, and payoff trigger. Entries receive short labels so they can be reviewed or dropped later.

• Logging a TODO or unfinished implementation
• Recording a temporary default or bypassed check
• Tracking a swallowed error or loosened type

Generate or compare AI agent code for LangChain, EINO, AutoGen, AgentScope, and CrewAI using framework-specific templates, API mappings, conventions, and project structures. Reference files include verification dates to help identify potentially outdated guidance.

• Creating an agent project for a chosen framework
• Comparing APIs across supported agent frameworks
• Referencing framework-specific tool and memory patterns

Investigate a reproducible bug, test failure, or unexpected page behavior, then make a narrowly scoped fix. The workflow calls for a regression test before changing code, verifies the fix, and reports remaining risks and evidence while avoiding unrelated refactoring or feature work.

• Finding the cause of a failing test
• Fixing an unexpected page or feature behavior
• Adding a regression test before a minimal code change

Build an AI agent project through six collaborative stages, from requirements and architecture to tools, prompts, code generation, and verification. Start framework-independent, then generate a runnable project for frameworks such as LangChain, EINO, AutoGen, AgentScope, or CrewAI.

• Designing an AI agent from a business need
• Generating a runnable agent project
• Planning tools, prompts, and orchestration

Audit a project or learning workflow for scope drift, conflicting plans, inconsistent names, and code quality concerns. The skill reads project files and code, then reports evidence, severity, and suggested next steps without changing files.

• Checking whether project work has drifted from its agreed scope
• Finding conflicting plans or inconsistent naming
• Reviewing code against project decisions without editing it