“help”的搜索结果

通过一张速查卡查看ponytail的三种运行模式、相关技能及调用命令，还可查阅停止与恢复、默认模式设置和更新方法。

• 比较三种运行模式
• 查找相关技能的调用命令
• 确认停止与恢复方法

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

Forward tasks from Claude Code's rescue subagent to Codex through a helper script. This internal skill handles model and effort options, fresh or resumed runs, and write access, then returns the helper's output unchanged.

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• Hand off diagnosis or implementation work to Codex
• Resume a previous Codex request
• Start a fresh Codex run

Help small business owners get started with Claude by guiding two tool connections and trying a task tied to their main concern. Capture business context, suggest relevant skills, and establish a weekly check-in routine.

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• Start using Claude for business tasks
• Connect tools already used in daily operations
• Save business context and choose initial skills

Choose research problems, refine new ideas, or rethink stalled projects through structured conversation. Assess feasibility, potential impact, and risks, then develop success criteria, decision points, and backup plans for a clearer research strategy.

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• Choosing a thesis research topic
• Assessing risks in a new research idea
• Finding alternatives for a stalled project

Design a general-purpose assistant for tasks such as email summaries, short reply drafts, and note capture. The playbook defines task boundaries, completion criteria, and concise responses, with only the tools needed for the requested work.

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• Designing an assistant for email summaries
• Building a helper for short reply drafts
• Defining the scope of a note-taking assistant

Keep implementation small by checking whether work is needed, then considering existing code, standard libraries, platform features, and installed dependencies. Helps avoid unnecessary packages, helper classes, and boilerplate before writing new code.

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• Implementing a feature with minimal code
• Avoiding unnecessary package installations
• Reusing existing helpers and platform features

Inspect and manage Google Cloud IAM policies that grant roles or explicitly deny permissions. The skill prepares policy changes for user approval, supports organization, folder, project, and supported resource scopes, and verifies the resulting policy after execution.

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• Reviewing existing allow and deny policies
• Adding or removing role bindings for specific identities
• Creating or updating organization, folder, or project deny policies

Sort new messages in a shared Gmail inbox, consult help documentation, and prepare reply drafts or Linear tickets. Leave unsupported questions for human review, with category labels applied consistently and no customer emails sent automatically.

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• Categorize new messages in a shared inbox
• Draft replies using help documentation
• Turn emailed bug reports into Linear tickets

Sort customer support tickets, emails, and chats into categories and priorities with brief reasons. Draft replies when requested, outline steps to reproduce issues, and prepare internal notes covering missing information, investigation needs, and next actions.

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• Classify and prioritize incoming support requests
• Draft a customer reply with clear next steps
• Organize reproduction steps for a reported bug

Inspect the current QM web interface through its HTML and structured app state, with optional stylesheets and a rendered image. Use it to explain visible UI elements, help with interface questions, or check how a canvas appeared.

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• Help with questions about the current QM screen
• Check a canvas's appearance and placement
• Inspect the state of panes and open dialogs

Build reusable command-line scripts that fetch and process Hugging Face API data. Combine multiple requests, enrich model information, and produce outputs for further filtering, with built-in help and usage examples for repeated tasks.

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• Automating repeated model and dataset lookups
• Combining trending models with metadata and paper links
• Extracting licenses and tags from model cards

Test Omnigent’s setup, help, and terminal interactions by driving the real CLI in an isolated environment. Capture rendered screens and compare checks before and after a change to establish whether a reported interface problem was fixed.

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• Reproducing a first-run setup problem
• Inspecting menus in a narrow terminal
• Checking help text and command visibility

Guides edits to Worktrunk’s command-line messages, help text, and progress displays. Defines wording, colors, symbols, and where output goes, so command results and status messages follow consistent conventions in terminals, pipes, and redirected logs.

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• Revising warning and error messages
• Separating command results from progress messages
• Checking color handling in redirected output

Help a spawned worker check which date-range helpers and external integrations are available and how to call them. The catalog explains environment settings, local broker access, and availability checks so the worker can choose tools for its task.

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• Checking available tools when a worker starts
• Looking up calls for Slack replies or shared knowledge searches
• Checking date-range helpers before querying external services

Work around file-writing errors caused by quotes, backticks, or JavaScript template literals using a temporary Python script. The workflow includes reading back each saved file to check its contents and removing the helper script afterward.

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• Recovering from write_file errors
• Saving TypeScript files containing template literals
• Writing multiple files with mixed quote styles

Find the Ouroboros command for clarifying requirements, running work, checking results, or managing sessions. This reference explains command purposes, agent roles, natural language triggers in Claude Code, and the tools each operation requires.

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• Finding a command for a task
• Checking which commands require MCP
• Looking up natural language triggers in Claude Code

Collect customer reviews from e-commerce product and review pages, including review text, ratings, dates, verified purchase status, and helpful votes. Gather multiple pages of feedback to prepare data for customer opinion research and sentiment analysis.

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• Gathering customer feedback for product research
• Preparing review text for sentiment analysis
• Collecting recent or helpful Amazon reviews

Adapt Squad agent coordination to the available Copilot interface. Detect supported tools, choose how to launch helper agents and collect results, and use file-based state for workflows that must work across interfaces.

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• Adapting agent coordination between CLI and VS Code
• Launching multiple helper agents in VS Code
• Managing shared state without the CLI-only SQL tool

Builds the help center, in-product guidance, and knowledge base that let customers resolve problems without contacting anyone — content, findability, maintenance, and deflection measurement. Use this to build or fix a help center, reduce support volume, write documentation for customers, improve findability, or decide what deserves a help article versus a product fix.

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Use when asked 帮爸妈办医保, 帮父母办养老金认证, 爸妈异地就医备案, 帮老人办银行业务, 父母被诈骗了怎么办, 教爸妈用手机办事, 代办委托书, or help an adult child handle 医保, 社保, 养老金, banking or scam protection for ageing parents in mainland China. Produces a task list for this errand, what the adult child can do remotely versus what needs the parent in person, the documents and authorisation needed, a step list for the parent in very plain large-step language (长辈版) with a call-for-help line, and an anti-scam card, with every local rule marked to confirm.

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Show KERNEL help. The unified skill system, state operations, agents, current plugin status. Triggers: help, how, what, skills, commands.

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When a learner gets something wrong or feels stuck, require them to diagnose the problem before receiving help. Ensures help targets the actual cognitive breakdown, not just the surface error.

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When we combine gene-editing technology and sequencing technology, we need to reconstruct a lineage tree from alleles generated and calculate the similarity between each pair of groups. FindIndel() and IndelForm() function will help you align each read to reference sequence and generate scar form strings respectively. IndelIdents() function will help you to define a scar form for each cell or read. IndelPlot() function will help you to visualize the distribution of deletion and insertion. TagPro

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