“debugging”的搜索结果

帮助创建响应 Claude Code 操作前后、停止及会话开始事件的钩子，配置危险操作验证、完成检查和项目信息加载，并涵盖测试与调试。

• 执行前检查命令和文件写入
• 智能体停止前检查工作完成情况
• 会话开始时加载项目信息

帮助在Capy或Claude Code中安装和检查gstack环境，并为开发规划、代码审查、故障调查等任务选择相应流程。

• 在Capy中安装gstack
• 选择规划或代码审查流程
• 检查并修复现有安装环境

将文件编辑范围限定在指定目录内，阻止范围外的编辑、写入及笔记本修改，帮助调试或单个模块修复避免无关改动，限制会持续到主动解除。

• 缩小调试时的编辑范围
• 只修改指定模块
• 防止误改无关文件

Build a narrative project history from records stored in claude-mem. The report traces architectural changes, breakthroughs, debugging efforts, and work patterns, with timeline statistics and estimates of token savings from reusing recorded knowledge.

中文简介正在准备中。当前显示英语简介。

• Reviewing a project's development history
• Tracing architectural decisions and their consequences
• Examining recurring debugging and work patterns

Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.

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• Write code with ongoing AI review
• Direct AI implementation while reviewing its output
• Develop features by writing tests first

Fetch execution traces, records of an agent’s actions, from LangSmith Studio to debug LangChain and LangGraph agents. Inspect errors, tool calls, memory operations, execution times, and token usage, or export records for further review.

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• Investigating an agent failure
• Checking tool selection and execution order
• Investigating memory storage and recall

Investigate failed GAIA benchmark questions by inspecting execution records and classifying causes such as missing tools, reasoning errors, or answer extraction bugs. Follow targeted fixes, verify them through another run, and save findings for future debugging.

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• Investigate an incorrect answer for a specific task
• Diagnose a question that timed out
• Investigate a drop in benchmark pass rate

Work with AI as a coding partner, choosing who writes code and who guides the work. Supports role switching, test generation, ongoing code review, debugging, and step-by-step explanations for learning.

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• Write code with ongoing AI review
• Direct AI implementation while reviewing its output
• Develop features by writing tests first

Research existing code, documents, and relevant sources before producing a practical plan for implementation, migration, debugging, or evaluation. The plan explains key decisions, ordered steps, and validation checks, giving users something concrete to review before execution.

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• Plan implementation steps before changing code
• Design a phased migration with rollback steps
• Break work into separate commits or pull requests

Test changes interactively in Codex's terminal interface. The skill explains how to launch it, save detailed logs for debugging, and send test messages programmatically with text and Enter submitted separately.

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• Check changes in the Codex terminal interface
• Save detailed logs for debugging
• Send test messages programmatically

Guide implementation and debugging of visual Sequence editing in Remotion Studio. It documents how sequence identifiers, node paths, and stack traces behave during hot reload, and suggests how to track expanded UI state.

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• Debug Sequence identity during hot reload
• Review how expanded Sequence state is tracked
• Check node-path and stack-trace mappings

Retrieve current documentation and code examples from Context7 for libraries, frameworks, and developer tools. Use the results to answer questions about API syntax, configuration, installation, version migration, and library-specific problems.

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• Checking current API syntax
• Finding setup and configuration examples
• Investigating version migration issues

Find current documentation and code examples through the Context7 MCP server. Look up library setup, API usage, migration steps, and library-specific problems, using documentation for the requested version when available.

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• Looking up documentation for a specific version
• Finding library setup and configuration steps
• Finding examples for code that uses external libraries

Debug programs with LLDB while keeping session state across commands. Set breakpoints, inspect variables and memory, and examine core dumps, with JSON results for agents and a debug adapter interface for editor clients.

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• Inspect variables where a program stops
• Investigate a crash using a core dump
• Debug a running process

Inspect NSLogger logs from iOS and macOS apps, filter messages by severity, tag, text, or thread, summarize counts, export text, JSON, or CSV, and receive live logs for debugging.

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• Review errors in a captured app session
• Find network failures by tag and message text
• Export logs as JSON or CSV for analysis

Analyze software protections during authorized reverse engineering, the examination of compiled programs. Helps identify mechanisms that hinder debugging, obscure code, or prevent tampering, then choose safe analysis methods, document findings, and develop defensive recommendations.

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• Analyze protected software with written permission
• Examine malware within an authorized scope
• Study protection mechanisms in CTFs or approved training

Investigate errors and unexpected behavior by finding related code, following function calls, and checking source files. GitNexus helps trace execution paths, while the diagnosis identifies the repository and reports how current its code index is.

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• Finding where an error originates
• Investigating an endpoint that returns 500
• Tracing calls between two functions

Automate Electron desktop apps with agent-browser through CDP, a browser debugging connection. Click controls, enter text, extract content, and capture screenshots while switching between app windows or embedded pages for routine work and testing.

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• Automating clicks and form entry in desktop apps
• Extracting text and screen information from apps
• Capturing screenshots for application testing

Develop exploit code from a known memory corruption flaw, then investigate differences between local and remote execution. Covers stack, heap, and Linux kernel cases, with attention to library versions, debugging, and repeatable results.

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• Developing exploit code for a known vulnerability
• Investigating why a CTF exploit fails remotely
• Checking library versions and memory protections

Investigate bugs and slow applications through reproducible examples, logs, environment comparisons, and hypothesis testing. The skill structures root cause analysis and performance measurement, helping developers narrow down failures and verify that a fix works.

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• Investigate bugs that occur only occasionally
• Measure and locate performance bottlenecks
• Collect evidence and reproduce production failures

Build end-to-end tests with Playwright and Cypress to check complete user workflows, such as login and checkout. Improve test reliability through stable element selection, independent test data, appropriate waits, and debugging with traces and screenshots.

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• Automate tests for login and checkout workflows
• Investigate tests that fail intermittently
• Run browser tests in CI/CD pipelines

Generate independent options for design, implementation, explanations, or debugging, then compare them using one shared rubric. Code candidates use separate working copies and undergo independent verification before a winner is presented for review.

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• Comparing several plausible design approaches
• Evaluating independent implementations of the same task
• Comparing explanations or debugging approaches

Use OpenViking MCP tools to retrieve relevant knowledge before substantial tasks and save lasting preferences, decisions, and lessons during or after work. Import documents as searchable resources so later tasks can draw on previous findings.

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• Retrieve previous fixes before debugging
• Save lasting preferences and working conventions
• Record decisions and their rationale

Build web apps connecting a CopilotKit React interface to agents hosted in Microsoft Foundry. Covers AG-UI, the communication protocol between them, plus tool approvals, conversation history, shared state, deployment, debugging, and dependency upgrades.

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• Build a chat interface for a Foundry hosted agent
• Add approval screens for agent tool execution
• Investigate failures across the agent and web interface