task 是做什么的？
将自然语言描述转换为 coder-eval 任务 YAML — 最简提示、检查输出内容的加权标准，并通过 coder-eval plan 进行验证。当用户想要编写、添加或生成评估任务时使用。
将自然语言描述转换为 coder-eval 任务 YAML — 最简提示、检查输出内容的加权标准，并通过 `coder-eval plan` 进行验证。当用户想要编写、添加或生成评估任务时使用。
此技能的核心功能是将用户提供的自然语言描述转化为结构化的 coder-eval 任务 YAML 文件。它通过生成极简的提示、定义检查输出内容的加权标准，并利用 `coder-eval plan` 命令进行验证，从而显著简化评估任务的创建过程。对于需要快速编写、添加或生成 AI 编码评估任务的开发者或 AI 代理用户来说，该技能非常有用，它确保任务格式正确且标准完备。该技能可能支持像 Claude Code 或 Cursor 这样的 AI 编码助手的评估工作流。其工作流程包括：接收自然语言输入、解析需求、生成包含权重和验证条件的 YAML 文件，最后通过 `coder-eval plan` 进行本地或集成验证，以保证任务的可重复性和正确性。
npx skills add https://github.com/UiPath/coder_eval/tree/main/plugins/coder-eval/skills/task将自然语言描述转换为 coder-eval 任务 YAML — 最简提示、检查输出内容的加权标准，并通过 coder-eval plan 进行验证。当用户想要编写、添加或生成评估任务时使用。
This repo contains 5 individual skills — each has its own dedicated page.
Analyze a finished coder-eval run and write analysis.md — cluster failures into systemic patterns and recommend fixes. Use when the user wants to know why a run failed, what regressed or got worse since a previous run, what to fix, or what a run says about their tasks.
Generate and run a coder-eval activation suite for a Claude Code skill. Use when the user asks whether a skill triggers, wants to test skill activation, or worries a skill has silently stopped firing.
Generate a GitHub Actions workflow that runs a coder-eval suite as a CI gate or on a schedule, using the published composite action — with the agent runtime, credentials, JUnit output and the run reports wired correctly.
Set up coder-eval in this repository — scan for what is worth evaluating (Claude Code skills, an MCP server, a CLI), then scaffold a task directory with one real task and the command to run it.
Review existing coder-eval task YAML — find criteria that cannot fail, prompts that leak the answer, and near-duplicate tasks, each with a fix. Read-only. Use when the user wants existing tasks reviewed, linted, audited, or checked for gaps.
ElevenLabs text-to-speech with mac-style say UX.
Oracle CLI second-model review/debug/refactor/design with selected files, dry-run token checks, API or browser engine.
Capture and automate macOS UI with the Peekaboo CLI.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route.
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".