“responses”的搜索结果

Builds a DRAFT weighted supplier evaluation matrix from supplier responses and the panel's agreed criteria, weights and scale: a provisional score per cell with the quoted evidence and anchor behind it, a register of every missing or partial answer, and calibration and sensitivity flags. Provisional for panel moderation; never recommends, awards or disqualifies. Use when the user asks to score, weight or rank supplier, bid or tender responses against agreed criteria, for example "score these bids", "build the evaluation matrix", "weight the tender responses" or "rank the suppliers against our criteria". Do not use for a side-by-side comparison without scores, use rfp-comparison-pack instead; for writing the criteria, use rfp-requirements-pack instead. Drafts for human review; never approves, authorises or signs off.

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使用模拟环境或真实服务运行OpenClaw质量验证场景，调查并修复失败原因、检查结果报告，还可比较多个模型的表达方式和角色表现。

• 在模拟环境或真实服务中运行质量验证
• 调查失败场景并重新验证
• 比较多个模型的角色表现

通过日志和复现操作排查OpenClaw的模型通信、工具执行及响应流问题，并检查已保存的对话和附件，为修复原因与再次验证收集证据。

• 排查本地测试与真实服务的行为差异
• 确认模型实际可见的工具
• 调查响应流的延迟或中断

通过界面状态对比图库和真实浏览器操作测试，检查OpenClaw Control UI的界面改动，保存用户评论以及改动前后经检查的截图。

• 对比加载、空白和错误状态
• 收集对界面改动的意见
• 通过模拟Gateway验证聊天操作

按统一规则设计和审查REST API的URL、响应格式与错误处理，并整理分页、身份验证、请求次数限制和版本管理方案。

• 设计新API的端点
• 审查现有API规范
• 添加分页和筛选功能

Write or repair React tests around user actions and visible results. Cover components and hooks, simulate network responses, check accessibility, and decide when real browser component tests or end-to-end tests across pages are needed.

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• Adding behavior tests to React forms and components
• Testing custom hooks and asynchronous updates
• Simulating successful and failed API responses

Build and review Laravel web applications and APIs with clear separation of responsibilities. Covers Eloquent database models, input validation, consistent API responses, background jobs, events, and caching, helping organize application logic and data access.

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• Separating controller code into services and actions
• Reviewing Eloquent relationships and unnecessary database queries
• Standardizing API responses, pagination, and input validation

Add on-device language model features to iOS 26+ apps with Apple's FoundationModels framework. Covers text generation, summarization, extracting data into Swift types, calling custom app functions, and progressively updating screens as responses are generated.

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• Adding offline text generation and summarization
• Extracting structured data from user input
• Connecting AI responses to custom app functions

Coordinate parallel frontend, backend, or service development around one shared, machine-checkable interface specification. Generate consumer types, validate mocks and real responses against the same specification, and review changes together to prevent mismatched fields and incompatible integrations.

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• Coordinating parallel frontend and backend development
• Aligning API or event formats across services
• Checking that mock and production responses match

用于设计和检查TypeScript、Python、Go应用的错误处理，整理错误分类、重试、API错误响应和用户提示，并区分用户说明与开发诊断日志。

• 为新服务设计错误分类
• 重试外部服务的临时故障
• 检查API错误响应与日志

Configure Hermes to run AI models through Actual Computer on your own hardware. Set up either the hosted relay or a local connection, select models, verify responses, and troubleshoot request errors or empty output.

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• Connecting Hermes with an Actual inference key
• Running models through a local Actual daemon
• Downloading and loading local models

Create a one-page service operations guide in HTML. It organizes service details, alerts and first responses, dashboard links, procedures with copyable commands, an on-call schedule, and an incident checklist so teams can find operational instructions together.

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• Creating an operations guide for a service
• Documenting first responses to alerts
• Organizing deployment and rollback procedures

Find work and solutions from previous sessions using a staged memory search. Filter results by ID, inspect nearby context, and retrieve full observations or original tool inputs and responses only when needed.

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• Checking whether a problem was solved before
• Recovering the steps used in an earlier task
• Reading the context around a past record

Organize open GitHub issues by category, risk, linked pull requests, duplicate candidates, and inactivity. Optionally analyze selected issues in depth, draft responses, and apply approved comments, labels, or closures to keep the backlog actionable.

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• Sorting a growing backlog of open issues
• Checking whether suspected duplicate issues are truly duplicates
• Prioritizing security risks and breaking changes

Manage cached LLM responses, which are saved answers available for reuse. Inspect statistics and stored entries, clear cached data, and configure expiration policies and similarity thresholds that govern when answers can be reused.

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• Inspecting response cache statistics
• Clearing saved responses
• Adjusting cache expiration policies

Send prompts to LLMs from a terminal, display answers as they arrive, or hold an ongoing conversation. Use files or standard input for prompts, choose models, and set system instructions through OmniRoute.

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• Sending a prompt from a terminal
• Using file contents as a prompt
• Displaying and saving streaming responses

Check text, code, and configuration files for personal information and secrets before committing, logging, storing, or sending them. Identify categorized findings, flag their locations, and suggest redaction to hide sensitive details.

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• Check code for personal information before committing
• Inspect logs before saving them
• Check model responses before sending them

Audit XML sitemaps for URLs marked noindex, an instruction to exclude pages from search results, and for unsuccessful responses. Identify conflicting entries and recommend removing either the sitemap entry or the noindex instruction according to the page’s intended visibility.

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• Auditing noindex URLs in an XML sitemap
• Investigating why pages are excluded from search results
• Removing pages intended to stay out of search from sitemaps

Inspect raw HTML responses for a correct HTML5 doctype at the start of the document. Identify missing or outdated declarations and preceding content, then guide fixes that enable standards-mode rendering in browsers.

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• Checking the doctype in raw HTML responses
• Replacing old HTML4 or XHTML declarations
• Removing extra content before the doctype

Audit canonical URLs, which tell search engines the preferred page address, for redirects. The skill checks rendered HTML and HTTP responses, identifies affected routes or templates, and guides updates that point directly to the final URL returning 200 OK.

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• Checking canonical URLs for redirects
• Reviewing canonical tags after URL changes
• Inspecting templates that generate canonical metadata

Check external links for error responses and expired domains, then identify links to update or remove. Inspect rendered HTML and HTTP responses to locate affected pages and explain how to verify the corrections.

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• Checking reference links in older articles
• Updating or removing broken external links
• Reviewing links to expired or repurposed domains

Study Model Context Protocol (MCP), which connects AI applications with external tools, through guided lessons and exercises. Inspect requests and responses, practice implementation and security checks, and record progress alongside observed results.

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• Learn MCP fundamentals through requests and responses
• Practice building MCP clients and servers
• Study authorization, security, and operational failures

Implement animation in React with Framer Motion examples based on Disney's 12 animation principles. Add squash and stretch, preparatory movements, smooth acceleration, overlapping motion, and hover or tap responses with defined timing.

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• Adding hover and tap responses to buttons
• Animating jumps with preparation and curved paths
• Revealing list items one after another

Design recovery paths for AI agents that loop, lose streamed responses, or hit service limits. Classify failures, choose retries or backup models, and set stopping rules to keep recovery attempts from causing further failures.

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• Investigating repeated tool calls with no progress
• Designing recovery for interrupted responses
• Setting retry limits and stopping rules