“reporting”的搜索结果

用于改进claude-flow v3的命令行操作，设计并实现大型代码拆分、交互式输入、执行事件钩子，以及带进度显示的多命令自动化流程。

• 拆分大型命令文件
• 添加交互式配置输入
• 通过钩子记录执行结果

尽早在指定位置创建文件、报告等成果的完整初版，再基于实物逐步修改，检查格式、内容和可用状态后，才报告工作完成。

• 创建包含全部必要章节的报告
• 将成果保存到指定位置
• 确认生成文件能否正常打开

获取恶意软件感染指标、攻击者控制服务器地址及已确认遭利用的漏洞信息，按类型、来源、严重程度和观测时间筛选，整理当前网络威胁记录。

• 查询近期恶意软件指标
• 检查严重且已遭利用的漏洞
• 核查攻击者控制服务器指标

从官方报告查询消费者价格指数、政策利率和国债收益率的历史，核对各国数据来源、统计条件与缺失记录，并按共同观测日期比较走势。

• 比较各国通胀走势
• 查看美国利率历史
• 核对国债收益率走势及定义

在明确范围内运行质量检查，不修改产品代码，并记录受检版本、执行日志和结果，分别报告失败、未执行项目及已有未解决问题，为审查和发布准备提供依据。

• 执行临时质量检查
• 收集发布前的检查依据
• 确认快速检查省略的项目

初始化多个AI智能体协作的运行配置，按任务设置连接结构、资源分配和通信方式，并通过共享内存协调进度、成果及依赖检查。

• 为REST API开发建立协作配置
• 配置八个智能体分层开发功能
• 为分布式代码分析建立网状结构

检测并分类Cognitum Seed设备的异常测量数据，识别突增、数值停滞等趋势，查看异常分数，在高分时建议隔离，并记录检测到的异常模式。

• 调查设备的不自然测量值
• 推进固件金丝雀发布前检查
• 排查设备群的健康告警

按可调整的时间段汇总生产环境会话费用，将最新支出与历史平均值比较，显示差额和增幅。超过设定增幅时，通过退出码报告异常。

• 查看生产环境每日费用
• 比较近期支出与历史平均值
• 在持续集成中加入费用激增警报

Coordinate multiple AI agents for research, development, testing, and system analysis using Claude Flow. Choose how agents communicate, assign specialist roles, combine parallel and sequential tasks, and monitor progress through reporting and recovery workflows.

中文简介正在准备中。当前显示英语简介。

• Divide research, analysis, and report writing among agents
• Coordinate application development across specialist agents
• Run multiple types of tests in parallel

用于改进claude-flow v3的命令行操作，设计并实现大型代码拆分、交互式输入、执行事件钩子，以及带进度显示的多命令自动化流程。

• 拆分大型命令文件
• 添加交互式配置输入
• 通过钩子记录执行结果

Manage Clockify time tracking from Claude Code with natural language requests. Create, retrieve, or delete time entries, start timers, check running entries, and view workspaces and members for reporting, activity reviews, and invoice preparation.

中文简介正在准备中。当前显示英语简介。

• Log work time against a project
• Retrieve past time entries for invoice preparation
• Delete incorrect or duplicate time entries

Give slides, documents, reports, and HTML landing pages consistent colors and fonts. Choose from ten preset themes using a visual showcase, or create a custom theme from a description and review it before application.

中文简介正在准备中。当前显示英语简介。

• Making colors and fonts consistent across slides
• Choosing a theme for documents or reports
• Styling an HTML landing page

Audit the macOS and Windows branches of Mole CLI for safety risks, excess complexity, outdated information, performance issues, and lessons missing from tests or rules. Challenge each finding before reporting it, then implement and record approved fixes.

中文简介正在准备中。当前显示英语简介。

• Running regular audits of both Mole CLI branches
• Finding unsafe deletion paths and performance bottlenecks
• Checking outdated documentation and unnecessary complexity

Publishes oh-my-opencode through GitHub Actions, then checks package versions and release artifacts. Covers related packages, user-facing release summaries, and Discord announcements, reporting failures without starting code repairs during the release process.

中文简介正在准备中。当前显示英语简介。

• Publishing a patch, minor, or major release
• Releasing a specific prerelease version
• Checking related packages and platform binaries

Plan game development workflows by matching engines, art and audio tools, automated playtests, packaging, publishing, and analytics to available tools and credentials. Compare options by cost, quality requirements, and offline availability.

中文简介正在准备中。当前显示英语简介。

• Plan a small Godot game for a game jam
• Combine AI-generated art with a simple game loop
• Choose tools for automated agent playtesting

Assess how marketing channels contribute to conversions and revenue. Compare attribution models, which assign credit to customer interactions, reconcile conflicting reports, and design first-party tracking that connects browsing history to bookings or purchases.

中文简介正在准备中。当前显示英语简介。

• Reconciling conversion counts across advertising tools, analytics, and CRM
• Comparing first-touch and last-touch credit
• Designing surveys to capture word-of-mouth discovery

Calculate financial ratios from company statements to assess profitability, ability to cover obligations, efficiency, and valuation. Results include explanations, comparisons across periods, available industry benchmarks, and a formatted Excel report.

中文简介正在准备中。当前显示英语简介。

• Comparing profitability across reporting periods
• Assessing ability to cover short-term obligations
• Calculating valuation ratios for investment analysis

Fit regression and time series models in Python, interpret coefficients, compare alternatives, and check model assumptions. Supports statistical diagnostics and forecasting, with confidence intervals and validation steps to assess uncertainty and predictive performance.

中文简介正在准备中。当前显示英语简介。

• Fit regression models and interpret coefficients
• Compare models for binary outcomes or counts
• Forecast time series with prediction intervals

Plan study sample sizes, estimate statistical power—the chance of detecting an assumed effect—and find the smallest detectable effect. Supports standard tests and simulations for complex designs, with sensitivity analyses and sample size justifications.

中文简介正在准备中。当前显示英语简介。

• Estimating participant or sample counts before data collection
• Finding the smallest effect detectable with a fixed sample
• Preparing sample size justifications for grants or protocols

Retrieve U.S. federal financial data from the Treasury’s public API, including debt, revenue, spending, interest rates, and exchange rates. Filter dates and fields, retrieve multiple pages, and organize results into tables for analysis.

中文简介正在准备中。当前显示英语简介。

• Tracking U.S. national debt over time
• Comparing monthly federal revenue and spending
• Retrieving Treasury reporting exchange rates

Check physical units, propagate measurement uncertainty through calculations, and format results with meaningful precision. Local tools also inspect Python code for unit and uncertainty mistakes and assess whether calculated magnitudes are physically plausible.

中文简介正在准备中。当前显示英语简介。

• Convert units while carrying measurement uncertainty
• Build an uncertainty budget from calibration data
• Audit Python calculations for unit and uncertainty errors

Combine laboratory animal welfare measurements into reference-relative RELSA severity scores. Analyze individual trajectories, explore forecasts for specified observation times, and derive candidate score zones, with explicit checks on normalization, reference selection, prediction intervals, and evaluation limits.

中文简介正在准备中。当前显示英语简介。

• Combine animal welfare measurements into daily scores
• Compare group severity using a shared reference
• Explore severity forecasts at specified observation times

Analyze pooled CRISPR screens from FASTQ reads or guide-count tables using MAGeCK. Validate inputs, assess library and replicate quality, and rank enriched or depleted genes with effect sizes and false discovery rates, which estimate false-positive proportions.

中文简介正在准备中。当前显示英语简介。

• Counting guide reads from FASTQ files
• Checking library representation and replicate consistency
• Comparing treatment and control screens

Analyze flow cytometry data in Python by correcting fluorescence spillover and applying gates that select cell populations. Produce population counts, percentages, and fluorescence summaries, or reproduce supported FlowJo 10 workspace analyses with recorded analysis settings.

中文简介正在准备中。当前显示英语简介。

• Applying the same gating strategy to multiple FCS samples
• Reporting cell-population counts and percentages with denominators
• Reproducing supported FlowJo 10 analyses in Python