“search debug”的搜索结果

Use when inspecting, searching, verifying, or parsing DWARF debug info: DIEs, DW_TAG_/DW_AT_ entries, .debug_* sections, line tables, or llvm-dwarfdump/readelf output.

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Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.

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Observes runtime behavior of binaries via QEMU emulation, GDB debugging, and Frida hooking — syscall tracing, breakpoints, memory inspection, and function interception. Use when running, tracing, or debugging a binary, verifying hypotheses from static analysis, or watching actual syscalls, network calls, or file access; requires human approval before any execution.

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Extract tacit knowledge through non-obvious microquestions — things only the user knows that can't be found in code, docs, or research. Use when you're about to guess at intent, context, or constraints during SAFEWORD's understanding flow. Also use when user says 'ask me', 'what do you need to know', or when another skill (bdd, brainstorm, debug) needs user context before proceeding. Do NOT use for questions answerable by reading the codebase or searching the web.

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Fast parallel codebase scouting. Spawns multiple Explore subagents to search directories simultaneously, returning a consolidated file map with architecture fingerprint, complexity estimates, and routing suggestions. Use before planning, debugging, or any task spanning multiple directories. NOT for reading a single known file in depth (use Read directly); NOT for semantic find-usages or go-to-definition.

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Structured debugging methodology — reproduce, isolate, hypothesize, verify. Covers git bisect, binary search, logging, and minimal reproduction.

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Troubleshoot Coval OpenTelemetry trace ingestion, missing trace UI, sparse traces, bad simulation or conversation correlation, auth/org errors, oversized payloads, duplicate spans, and production debugging with Trace Search.

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为长时间的Claude Code任务建议何时压缩对话及已加载的信息。结合上下文大小和工具调用次数，帮助在阶段交接时判断压缩时机，并将重要计划保存到文件。

• 长对话接近上下文上限时
• 整理研究结果并转入实施时
• 调试结束后切换任务时

用于访问需要付费的API：检查HTTP 402响应，通过兼容的支付客户端按请求付款，并核对API返回结果与收据信息。

• 为返回HTTP 402的API付款
• 按支付方式选择兼容客户端
• 探索付费服务并管理支出

帮助您使用Unsloth，以LoRA和QLoRA微调语言模型，探索减少GPU内存占用的训练方式，并依据官方文档整理的参考资料查询功能与API、实现代码和排查错误。

• 开始使用LoRA或QLoRA微调
• 查询Unsloth功能与API
• 排查训练代码中的错误

连接开发中的Hermes桌面应用，读取元素是否存在、实际CSS值、优先生效的规则及控制台输出，核实界面修改是否生效并调查原因。

• 在运行界面中确认UI修改
• 调查实际生效的CSS规则
• 确认设计令牌的实际值

Check opencode commands, HTTP server behavior, lifecycle events, and terminal startup with purpose-built scripts. Find stored sessions by ID, title, or scoped message searches, and export conversations as JSON for further inspection.

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• Check CLI commands and HTTP server health
• Observe lifecycle events associated with plugin hooks
• Check terminal startup and keyboard input

Guide browser tasks in the person's own Chrome using existing sign-ins. Covers tab management, site permissions, form entry, GIF recordings, and console inspection, with clear steps for handling connection failures and unresponsive pages.

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• Work on websites using existing Chrome sign-ins
• Record a sequence of browser actions as a GIF
• Inspect console logs while debugging a page

Evaluate how Chatbox answers questions about large attachments using synthetic and real documents. Check whether the model retrieves file content when needed, skips retrieval for unrelated requests, and investigate failures through the actual application flow.

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• Verify retrieval for questions about large attachments
• Test file-related questions without explicit search requests
• Check that unrelated requests skip file retrieval

Add structured logs, performance metrics, and traces that follow requests across Python services. Establish consistent log fields and request IDs so production failures can be investigated using recorded activity and service health signals.

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• Adding searchable JSON logs
• Collecting service metrics with Prometheus
• Following requests across multiple services

Connect an AI agent to Power Automate through FlowStudio MCP. This skill covers authentication, discovering available tools, reusable Python or Node.js helpers, and extracting useful data from responses too large to display directly.

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• Set up authentication for a Power Automate connection
• Discover available tools for a task
• Build a reusable Python or Node.js helper

Build a lasting Markdown knowledge base for project decisions, architecture, and session discoveries. Search pages by keywords and tags, use results to answer with citations, and check for outdated content, broken links, and structural problems.

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• Preserving project decisions across sessions
• Finding past debugging discoveries
• Checking knowledge pages for broken links and stale content

Build AI applications with LangChain, including chatbots with conversation history and systems that search documents before answering. The skill provides examples for connecting models, calling tools, retrieving information, and tracing application runs.

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• Building a chatbot that uses conversation history
• Creating a question-answering system for documents
• Developing an agent that calls external tools

Guide an agent through searching past decisions before work, saving new decisions with their reasons, and treating corrections as lessons. The workflow helps distinguish useful long-term knowledge from temporary details, code facts, and routine activity already captured by hooks.

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• Checking earlier decisions before starting a task
• Saving a resolved issue with its underlying reason
• Preserving lessons from corrections

Trace where BigQuery and Cloud Storage data comes from and where it goes. The skill summarizes table or column lineage, meaning data origins and movement, in a readable Markdown report to support data quality investigations.

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• Investigating data origins during a quality issue
• Summarizing data sources and destinations
• Tracing the flow of a specific column

Build and maintain interfaces with shadcn/ui components, reusable pieces such as forms, cards, and dialogs. Find suitable components, follow project settings, fix composition and styling issues, and review updates while preserving local changes.

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• Build settings pages and dashboards
• Fix form and dialog composition
• Update components while preserving local changes

Get reminders to compact conversation context, meaning summarize it for continued work, during long Claude Code sessions. A tool-call counter prompts consideration of manual compaction, with guidance on choosing useful breaks between task phases.

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• Compact context between research and implementation
• Organize context after a milestone
• Clear debugging context before continuing

Guides you through connecting external services to Claude Code plugins using MCP, a protocol for exposing services as tools. Covers connection types, configuration files, authentication, tool permissions, and testing.

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• Connecting a database to a Claude Code plugin
• Configuring OAuth or token authentication
• Building workflows across multiple MCP servers

Test local web applications with Playwright, a browser automation tool. Write Python scripts to check interface behavior, inspect rendered pages, capture screenshots, and collect browser logs, with a helper that manages one or more application servers.

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• Checking buttons, links, and form behavior
• Investigating interface issues with screenshots and logs
• Automating checks for local static HTML