// Delegate complex coding tasks to a specialist model. Use when facing algorithmic challenges, performance optimization, or tricky debugging that benefits from focused code expertise.
Incorporate feedback from an independent code reviewer to improve your solution. The reviewer is a different agent that analyzed your work.
Run agent benchmarks, create tasks, analyze results, and manage agents using BenchFlow. Use when asked to benchmark an AI coding agent, run a benchmark suite, create tasks, view trajectories, or compare agent performance.
Verify academic citations, detect hallucinated BibTeX entries, repair DOI metadata, and produce normalized bibliography outputs without inventing sources.
Run agent benchmarks, create tasks, analyze results, and manage agents using BenchFlow. Use when asked to benchmark an AI coding agent, run a benchmark suite, create tasks, view trajectories, or compare agent performance.
Pre-push branch reviewer — runs lint+typecheck+tests, then fans /code-cleanup, /test-review, /docs-review at the branch diff, merges findings by file
Two-pass subagent sweep for trivial/small refactoring wins — find candidates, then verify each before recommending
| name | code-specialist |
| description | Delegate complex coding tasks to a specialist model. Use when facing algorithmic challenges, performance optimization, or tricky debugging that benefits from focused code expertise. |
When facing a complex coding task, delegate to the specialist rather than solving it yourself.
Describe the problem clearly to the specialist. Include:
The specialist returns code that you should integrate into your solution.