CI 是做什么的？
生成一个 GitHub Actions 工作流，使用已发布的复合动作，在 CI 门控或定时计划中运行 coder-eval 测试套件 — 正确配置代理运行时、凭据、JUnit 输出和运行报告。
生成一个 GitHub Actions 工作流，使用已发布的复合动作，在 CI 门控或定时计划中运行 coder-eval 测试套件 — 正确配置代理运行时、凭据、JUnit 输出和运行报告。
该技能专为需要为 UiPath 自动化项目设置持续集成（CI）管道的开发者设计。它会自动生成一个完整的 GitHub Actions 工作流，该工作流基于一个已发布的复合动作来运行 coder-eval 测试套件。生成的配置涵盖了代理运行时的集成、安全凭据的注入、生成 JUnit 格式的测试结果，以及全面的运行报告，确保整个 CI 流程开箱即用。该技能主要支持 GitHub Actions 平台，适用于 CI 门控（如代码合并前的自动验证）以及定时计划执行。通过自动化这些复杂配置，它显著减少了手动设置工作流的时间和潜在错误。
npx skills add https://github.com/UiPath/coder_eval/tree/main/plugins/coder-eval/skills/ci生成一个 GitHub Actions 工作流，使用已发布的复合动作，在 CI 门控或定时计划中运行 coder-eval 测试套件 — 正确配置代理运行时、凭据、JUnit 输出和运行报告。
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.
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.
Turn a natural-language description into coder-eval task YAML — minimal prompts, weighted criteria that check output content, validated with `coder-eval plan`. Use when the user wants to write, add, or generate an evaluation task.
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".