浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for shadcn init, create an app with --preset, or switch to --preset.
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for shadcn init, create an app with --preset, or switch to --preset.
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for shadcn init, create an app with --preset, or switch to --preset.
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for shadcn init, create an app with --preset, or switch to --preset.
Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for shadcn init, create an app with --preset, or switch to --preset.
Use when writing tests, structuring test suites, choosing test boundaries, or debugging test quality issues like flakiness, over-mocking, or brittle tests. Also use when deciding between unit/integration/E2E tests, when tests break during refactoring (sign of testing implementation details), or when test setup exceeds 20 lines. Covers AAA structure, DAMP naming, mock boundaries, and the testing pyramid.
Comprehensive unit testing framework for Bash and POSIX shell scripts using ShellSpec with TDD/BDD best practices. Use when writing tests for shell scripts, debugging test failures, refactoring scripts for testability, setting up test infrastructure, mocking external dependencies, or implementing test-driven development for Bash/shell projects. Covers test structure, isolation, mocking, output capture, coverage, CI integration, and troubleshooting.
Evaluate how well a codebase supports autonomous AI development. Analyzes repositories across nine technical pillars (Style & Validation, Build System, Testing, Documentation, Dev Environment, Debugging & Observability, Security, Task Discovery, Product & Analytics) and five maturity levels. Use when users request `/readiness-report` or want to assess agent readiness, codebase maturity, or identify gaps preventing effective AI-assisted development.
To diagnose active, stuck, or failed Kilroy Attractor runs, inspect run artifacts (`manifest.json`, `live.json`, `checkpoint.json`, `final.json`, `progress.ndjson`), resolve run IDs/log roots, identify model/provider routing, and isolate failure causes. Includes CXDB operations for launching/probing CXDB, opening the CXDB UI, and querying run context turns. This skill is useful when investigating run status, debugging retries/failures, explaining model usage, or inspecting CXDB-backed event history.
Write, critique, and iterate prompts for OpenAI GPT-5 series models. Use for tasks like: (1) turning vague requirements into high-signal instructions, (2) selecting between quick vs deep reasoning behaviors, (3) creating robust structured-output prompts (JSON schemas, tool calls), (4) designing evaluation prompts and rubrics, and (5) debugging prompt failures (hallucinations, format drift, tool misuse). Trigger when the user mentions GPT-5, prompt engineering, system/developer messages, structured outputs, agent prompts, or wants best-practice templates.
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
Configures Tweakpane debug panels for 3D components. Use when adding debug controls, monitoring component state, or adjusting parameters in real-time via the #debug interface.