搜索「Debugging」的结果

io.github.anomalyco/opencode/app-e2e-tests

Use when writing, changing, reviewing, or debugging Playwright e2e tests in packages/app/e2e (regression keepers and user stories). Covers the mocked opencode server harness and the Bun static server, per-test isolation, page-load and route cost, the suite-wide service-worker block, races with first mount, hover, measurement, clock, dialogs and shortcuts, projects, shards and worker scheduling, rehearsing Windows timing locally, and diagnosing a CI flake from its artifacts. Not for Storybook component tests or e2e/performance benchmarks.

io.github.anomalyco/opencode/component-tests

Use when writing, changing, debugging, or reviewing Storybook-based Playwright component tests. That covers specs in packages/app/component-tests or packages/session-ui/component-tests, `*.fixture.tsx` files there or beside source (such as packages/gui-extensions/src/browser/panel.fixture.tsx), the stories they mount, and the shared harness in packages/storybook (playwright/config.ts, playwright/story.ts, .storybook/main.ts, preview.tsx, mocks). Also use when a component test is flaky, passed on retry, or fails with "Execution context was destroyed", "Failed to fetch dynamically imported module", or `#storybook-root` hidden. Covers mount args, source modules imported by URL, Vite dependency pre-bundling and reloads, cold vs warm Storybook, mobile drawers, geometry, and checks before pushing.

io.github.volcengine/OpenViking/openviking-context-database

Use OpenViking from OpenClaw through @openviking/openclaw-plugin: long-term memory, session archives, resource and Agent Skill import, semantic recall, recall trace debugging, and externalized tool-result recovery. Prefer this skill when the user wants to use, query, debug, or operate OpenViking context from an OpenClaw agent. For first-time plugin installation, use the install-openviking-memory skill instead.

io.github.upstash/context7/find-docs

为任意开发者技术检索最新文档、API 参考和代码示例。只要用户询问特定库、框架、SDK、CLI 工具或云服务——包括 React、Next.js、Prisma、Express、Tailwind、Django、Spring Boot 等知名库——就使用本技能,因为训练数据可能未反映最近的 API 变更或版本更新。以下情况务必使用:API 语法问题、配置项、版本迁移问题、提到库名的 "how do I" 问题、涉及库特定行为的调试、安装说明,以及 CLI 工具用法。即使认为已知答案也应使用——不要依赖训练数据中的 API 细节、签名或配置项,务必对照当前文档核实;库文档与 API 细节优先于网络搜索。

io.github.affaan-m/ECC/deepseek-harness-setup

Install and operate Everything Claude Code (ECC) on the DeepSeek Harness (DSH): native skill roots (~/.dsh/skills, .agents/skills), the @deepseek-ai/dsh-hooks-claude-code bridge for command hooks, bare-insert patch mounting, generator usage, event-support limits, and update workflow. Use when setting up ECC on DeepSeek Harness, wiring ECC hooks into a DSH profile, or debugging why ECC skills or hooks do not appear in a DSH session.

io.github.anthropics/skills/claude-api

Claude API / Anthropic SDK 参考——模型 id、定价、参数、流式输出、工具调用、MCP、agent、缓存、token 计数、模型迁移。触发条件：提示中出现任何 Claude/Anthropic 相关名称（Claude、Anthropic、Fable、Opus、Sonnet、Haiku 等）；用户询问 LLM 相关问题（定价/选型/限额/缓存）时不要凭记忆回答；或任务属于 LLM 类且未指明供应商。仅当明确针对其他供应商（OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama）时跳过。

io.github.streamlit/streamlit/developing-with-streamlit

适用于所有 Streamlit 任务：创建、编辑、调试、美化、样式、主题、优化或部署 Streamlit 应用；也包括自定义组件、st.components.v2 以及 HTML/JS/CSS 工作。会从用户安装的 Streamlit（>=1.57）发现并加载版本匹配的参考文档。触发词：streamlit、st.、dashboard、app.py、beautify、style、CSS、color、background、theme、button、widget styling、custom component、st.components、CCv2、session state、performance、cache、fragment、slow rerun、deploy。

io.github.stas00/ml-engineering/ml-engineering

Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and network; SLURM/Kubernetes orchestration; maximizing training throughput and fitting models in memory; diagnosing and surviving training instabilities, NaN/Inf, and hardware/job failures; checkpointing and fault tolerance; inference performance and memory; debugging multi-node/ multi-GPU hangs; and writing/running tests. Use when the user is training or fine-tuning large models, hits low TFLOPS/MFU, OOM, slow dataloading, a loss spike/divergence, a NCCL/InfiniBand or multi-node hang, node/GPU failures, checkpoint or preemption problems, storage/network bottlenecks, or needs to pick GPUs/cloud/file-systems or size inference latency/throughput. Distilled from "Machine Learning Engineering", the latest version of which can be found at https://github.com/stas00/ml-engineering The latest SKILL.md version can be found at https://github.com/st

io.github.microsoft/vscode/customizations-in-the-agent-host

agent host 中定制启用（插件、MCP 服务器、agents、技能）的架构与来之不易的调试经验。适用于：改动定制的发现、发布、启用/禁用或传递给提供方 SDK 的方式；界面上定制显示的错误启用状态；被禁用的 MCP 服务器或插件仍然到达模型的情形。

io.github.pytorch/pytorch/pt2-bug-basher

Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches. Use when encountering torch.compile errors, BackendCompilerFailed exceptions, recompilation issues, Triton kernel failures, FX graph problems, or when the user mentions debugging PT2, Dynamo, Inductor, or compiled model issues.

io.github.pytorch/pytorch/pt2-bug-basher

调试 PyTorch 2 编译器栈故障，包括 Dynamo 图断裂、Inductor 代码生成错误、AOTAutograd 崩溃与精度不一致。在遇到 torch.compile 错误、BackendCompilerFailed 异常、重编译问题、Triton kernel 失败、FX 图问题，或用户提到调试 PT2、Dynamo、Inductor 或编译模型问题时使用。

io.github.K-Dense-AI/scientific-agent-skills/astropy

面向需要 Astropy API 的天文与天体物理工作流的核心 Python 库，涵盖单位/量纲、坐标、FITS I/O、表格、时间系统、WCS 与宇宙学。在使用 Astropy 实现或调试天文数据分析代码时使用。

io.github.coollabsio/coolify/mcp-development

Use this skill for Laravel MCP development. Trigger when creating or editing MCP tools, resources, prompts, servers, or UI apps in Laravel projects. Covers: artisan make:mcp-* generators, routes/ai.php, Tool/Resource/Prompt/AppResource classes, schema validation, shouldRegister(), OAuth setup, URI templates, read-only attributes, MCP debugging, MCP UI apps, the x-mcp::app Blade component, createMcpApp(), default AppResource handle() auto-infers view from class name, Response::view(), AppMeta/Csp/Permissions/appMeta() configuration, #[RendersApp] attribute, Library enum for CDN libraries (Tailwind, Alpine), and host theming via CSS variables. Use this whenever the user mentions MCP apps, MCP UI, interactive MCP resources, styling MCP apps with Tailwind or Alpine, or building visual interfaces for AI agents.

io.github.affaan-m/ECC/click-path-audit

Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.

io.github.affaan-m/ECC/nuxt4-patterns

Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData. Use when building or reviewing a Nuxt 4 app, or debugging hydration mismatches and SSR-safe data fetching.

io.github.affaan-m/ECC/intent-driven-development

Turn ambiguous or high-impact product and engineering changes into scoped, verifiable acceptance criteria before or alongside implementation. Use when a user asks to clarify a feature, define acceptance criteria, de-risk a security/data/migration/integration change, prepare implementation requirements for another agent, or make a complex request testable. Do not trigger for trivial edits, straightforward fixes, active debugging, code review, or implementation requests whose acceptance conditions are already clear unless the user explicitly invokes this skill.

io.github.affaan-m/ECC/kubernetes-patterns

Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits.

io.github.affaan-m/ECC/kotlin-coroutines-flows

Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing. Use when writing coroutines or Flow code on Android or KMP, or debugging cancellation and concurrency.

io.github.affaan-m/ECC/mcp-server-patterns

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice.

io.github.affaan-m/ECC/prisma-patterns

Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits.

io.github.affaan-m/ECC/nextjs-turbopack

Next.js 16+ and Turbopack guidance — incremental Rust bundling, file-system caching, faster dev startup and HMR, Turbopack vs webpack tradeoffs, and the middleware.ts to proxy.ts filename change. Use when developing or debugging Next.js 16+ apps, diagnosing slow dev startup or hot reload, choosing between bundlers, or reviewing middleware/proxy file naming.

io.github.wekan/wekan/meteor-pubsub

Use when authoring or debugging Meteor publications and subscriptions (Meteor.publish, Meteor.subscribe). Triggers on publication strategies (SERVER_MERGE, NO_MERGE, NO_MERGE_NO_HISTORY), the low-level publish API (added/changed/removed), cursor authorization, reactive joins, leaked documents. Use this skill when the user asks about pub/sub or asks about reactive data fetching.

io.github.affaan-m/ECC/growth-log

在完成复杂任务、出现失败，或需要复盘学到了什么之后使用。教你写出能提炼可复用模式的成长日志——而不是日记。

io.github.affaan-m/ECC/nextjs-turbopack

Next.js 16+ 与 Turbopack：增量打包、文件系统缓存、开发速度提升，以及何时用 Turbopack 替代 webpack。