搜索「Debugging」的结果

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

**[REQUIRED]** Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, or optimizing Streamlit applications. Also required for building custom components (inline or packaged), using st.components.v2, or any HTML/JS/CSS component work. Triggers: streamlit, st., dashboard, app.py, beautify, style, CSS, color, background, theme, button, widget styling, custom component, st.components, packaged component, pyproject.toml, asset_dir, CCv2, HTML/JS component.

skypilot

vmaster

io.github.skypilot-org/skypilot/skypilot

Use when launching cloud VMs, Kubernetes pods, or Slurm jobs for GPU/TPU/CPU workloads, training or fine-tuning models on cloud GPUs, deploying inference servers (vllm, TGI, etc.) with autoscaling, writing or debugging SkyPilot task YAML files, using spot/preemptible instances for cost savings, comparing GPU prices across clouds, managing compute across 25+ clouds, Kubernetes, Slurm, and on-prem clusters with failover between them, troubleshooting resource availability or SkyPilot errors, optimizing cost and GPU availability, or migrating an existing Slurm workload (converting sbatch scripts, salloc sessions, job arrays or srun invocations into SkyPilot task YAMLs, and mapping Slurm commands, directives and SLURM_* environment variables to their SkyPilot equivalents).

understanding-streamlit-architecture

vdevelop

io.github.streamlit/streamlit/understanding-streamlit-architecture

Explains Streamlit's internal architecture including backend runtime, frontend rendering, and WebSocket communication. Use when debugging cross-layer issues, understanding how features work end-to-end, planning architectural changes, or onboarding to the codebase. Covers ForwardMsg/BackMsg protocol, script rerun model, element tree, widget state management, and more.

customizations-in-the-agent-host

vmain

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

Architecture and hard-won debugging lessons for customization enablement (plugins, MCP servers, agents, skills, instructions) in the agent host. Use when changing how customizations are discovered, published, enabled/disabled, or handed to a provider SDK; when a customization shows the wrong enabled state in the UI; or when a disabled MCP server or plugin is still reaching the model.

depot-container-builds

vmaster

io.github.PostHog/posthog/depot-container-builds

Configures and runs Depot remote container builds using `depot build` and `depot bake`. Use when building Docker images, creating Dockerfiles with Depot, pushing images to registries, building multi-platform/multi-arch images (linux/amd64, linux/arm64), debugging container build failures, optimizing Dockerfile layer caching, using docker-bake.hcl or docker-compose builds, or migrating from `docker build` / `docker buildx build` to Depot. Also use when the user mentions depot build, depot bake, container builds, image builds, or asks about Depot's build cache, build parallelism, or ephemeral registry.

ml-engineering

vmain

skillsmp.stas00-ml-engineering-skill-md

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

studio-mock-api-tests

vmaster

io.github.supabase/supabase/studio-mock-api-tests

Component tests for Supabase Studio that mock API requests at the network layer with MSW. Use when writing or reviewing a component test that exercises a React Query hook or mutation, or when migrating an existing test away from vi.mock('@/data/...'). Covers the customRender + addAPIMock template and the jsdom/MSW gotchas that cost real debugging time.

material-ui-nextjs

vmaster

io.github.mui/material-ui/material-ui-nextjs

Integrates Material UI with Next.js App and Pages routers using @mui/material-nextjs, Emotion cache providers, next/font, CSS layers with Tailwind/CSS Modules, Link component prop patterns, CSS theme variables SSR notes, and App Router useSearchParams + Suspense. Use when setting up or debugging MUI in a Next.js app.

astropy

vmain

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

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

claude-api

vmain

io.github.anthropics/skills/claude-api

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST

gradio

vmain

io.github.gradio-app/gradio/gradio

Build Gradio web UIs and demos in Python. Use when creating, modifying, debugging, or answering questions about Gradio and its capabilties, components, event listeners, or layouts.

agent-customization

vmain

io.github.microsoft/vscode/agent-customization

**WORKFLOW SKILL** — Create, update, review, fix, or debug VS Code agent customization files (.instructions.md, .prompt.md, .agent.md, SKILL.md, copilot-instructions.md, AGENTS.md). USE FOR: saving coding preferences; troubleshooting why instructions/skills/agents are ignored or not invoked; configuring applyTo patterns; defining tool restrictions; creating custom agent modes or specialized workflows; packaging domain knowledge; fixing YAML frontmatter syntax. DO NOT USE FOR: general coding questions (use default agent); runtime debugging or error diagnosis; MCP server configuration (use MCP docs directly); VS Code extension development. INVOKES: file system tools (read/write customization files), ask-questions tool (interview user for requirements), subagents for codebase exploration. FOR SINGLE OPERATIONS: For quick YAML frontmatter fixes or creating a single file from a known pattern, edit the file directly — no skill needed.

chrome-devtools

vmain

io.github.ChromeDevTools/chrome-devtools-mcp/chrome-devtools

Uses Chrome DevTools via MCP for efficient debugging, troubleshooting and browser automation. Use when debugging web pages, automating browser interactions, analyzing performance, or inspecting network requests. This skill does not apply to `--slim` mode (MCP configuration).

implementing-pod-security-admission-controller

vmain

io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-pod-security-admission-controller

Configures and operates the Kubernetes Pod Security Admission (PSA) controller that enforces Pod Security Standards: namespace enforce/audit/warn labels, cluster-wide defaults via AdmissionConfiguration, exemptions for usernames, runtime classes and namespaces, version pinning, and troubleshooting pods the controller rejected. Use when wiring PSA up on a cluster, setting cluster-wide default enforcement, exempting system namespaces, debugging why a pod was rejected or why enforcement is not firing, or reading PSA audit and warning output. Keywords: Pod Security Admission, PSA, admission controller, AdmissionConfiguration, pod-security.kubernetes.io labels, enforce audit warn, exemptions, kube-apiserver. Do not use for choosing which security profile a workload needs - use implementing-kubernetes-pod-security-standards.

implementing-kubernetes-network-policy-with-calico

vmain

io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-kubernetes-network-policy-with-calico

Installs Calico as the cluster CNI and writes standard Kubernetes NetworkPolicy under it, covering default-deny baselines, policy ordering and precedence, service-account-based selectors, and verifying that policy is genuinely being enforced. Use when adopting Calico as the enforcement CNI, establishing a default-deny baseline, or debugging why a NetworkPolicy is not taking effect under Calico. Keywords: Calico CNI, NetworkPolicy, default deny, policy order, Felix, service account selector. Do not use for Calico-only CRDs such as GlobalNetworkPolicy or DNS egress - use implementing-container-network-policies-with-calico; for CNI-agnostic policy use implementing-network-policies-for-kubernetes.

implementing-container-image-minimal-base-with-distroless

vmain

io.github.mukul975/Anthropic-Cybersecurity-Skills/implementing-container-image-minimal-base-with-distroless

Reduces container attack surface by building application images on Google distroless base images that ship only the application runtime - no shell, package manager, or OS utilities - using multi-stage build patterns plus debugging and scanning techniques adapted to distroless. Use when hardening container images, cutting attack surface in a container architecture, or answering an assessment finding about bloated base images. Keywords: distroless, multi-stage build, no shell, nonroot tag, debug image, scratch, attack surface. Do not use for scanning an image for known CVEs - use scanning-docker-images-with-trivy.

internal-codemap-for-srs

vdevelop

io.github.ossrs/srs/internal-codemap-for-srs

Route SRS and Oryx code tasks to the smallest relevant trusted codebase map and verification guidance. Use whenever support, development, debugging, review, or maintenance work requires locating, choosing, reading, modifying, testing, or verifying SRS or Oryx code. Covers the first-generation C++ origin and edge media server, its State Threads dependency, the next-generation Go server, browser publishers and players, the SRS Docker image toolchain, SRS testing, and the Oryx Go backend, React dashboard, integrated runtime, packaging, installers, releases, and tests. Use as the code-navigation dependency of parent support and development skills; the parent skill remains responsible for the user-facing workflow and result.

pptx-html-fidelity-audit

vmain

io.github.nexu-io/open-design/pptx-html-fidelity-audit

Audit a python-pptx export against its source HTML deck, identify layout/content drift (footer overflow, cropped content, missing italic/em, lost styling, off-rhythm spacing), and re-export with strict footer-rail + cursor-flow layout discipline. Use this skill whenever the user has a .pptx that was generated from an HTML slide deck and asks to compare/audit/verify/fix the export — including phrases like "compare ppt with html", "fidelity audit", "fix the pptx", "ppt is cut off", "footer overlap", "italic missing in pptx", "re-export the deck", "pptx-html-fidelity-audit", or any case where a python-pptx → HTML round-trip needs verification or repair. Also trigger when the user shows you a deck.html and a deck.pptx side by side and is debugging visual differences.

pptx-html-fidelity-audit

vmain

io.github.nexu-io/open-design/pptx-html-fidelity-audit