“sequences”的搜索结果

Outbound email-marketing desk (Busabase App-in-Skill) for building segments, drafting campaigns, newsletters, and sequences, running pre-send deliverability and subject-line QA, and approving every send before it is scheduled. Structured around the SEND discipline — Setup, Engage, Nurture, Deliver — with an email-quality-auditor gate (EQS score + SHIP/FIX/BLOCK verdict). Use when the user invokes $kelly-campaigns or /kelly-campaigns, or mentions email marketing, campaigns, newsletters, drip/welcome/win-back sequences, broadcasts, segments, subject-line A/B tests, deliverability (SPF/DKIM/DMARC/spam score/inbox placement), or wants to review and approve marketing email before it is sent. This is OUTBOUND marketing to a subscriber list, distinct from kelly-email inbox triage (incoming mail). 出站邮件营销：策划分群、起草营销活动 / 新闻邮件 / 邮件序列，发送前做可送达性与主题行质检，人工审批后再排期发送。

中文简介正在准备中。当前显示原文说明。

Generates account research briefs, personalized outreach sequences, persona-specific talk tracks, and objection handling frameworks for B2B SaaS BDR teams. Use when preparing BDR outreach for target accounts, building prospecting sequences, creating call scripts, developing objection responses, onboarding new BDRs, or reviewing outreach performance. Also use when asked to "write outreach emails," "build a prospecting sequence," "create a call script," "handle objections," or "research an account for outreach." Designed for BDR teams selling compliance, security, and GRC platforms to mid-market and enterprise buyers with multi-persona buying committees.

中文简介正在准备中。当前显示原文说明。

Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.

中文简介正在准备中。当前显示原文说明。

Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.

中文简介正在准备中。当前显示原文说明。

Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences.

中文简介正在准备中。当前显示原文说明。

Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.

中文简介正在准备中。当前显示原文说明。

将概念、业务流程以及软件或云架构整理成图表文件。可保存为浏览器可打开的内嵌SVG的独立HTML文件，或便于后续编辑与协作的Excalidraw格式。

• 为教材绘制概念图
• 将业务流程绘制成流程图
• 绘制软件和云架构图

根据工厂设备、人员、材料和交期安排生产顺序，协调换产与工序负荷，分析瓶颈，并在设备故障或缺料时协助调整计划。

• 比较设备有限时的生产顺序
• 设备故障后重新安排计划
• 比较批量大小与换产成本

面向产品或新功能发布，从客户与竞品调研到宣传方向、落地页、邮件、社交平台、广告和短视频文案，统筹内容与发布日程，并检查各渠道的表述和主张是否一致。

• 策划产品或新功能发布
• 根据产品简介撰写各渠道文案
• 统一多个渠道的宣传主张

针对没有唯一答案的决策，从长期影响、前提质疑、执行可行性和失败风险四个角度进行讨论，保留反对意见，并汇总形成建议方案。

• 决定立即发布还是等待改进
• 比较分阶段发布与全面发布
• 权衡缩小范围与长期目标

将技术或设计选择的理由记录为带编号的 Markdown 文件，整理背景、备选方案及影响，并维护索引。也可查阅已有设计决策记录，解释过去的选择。

• 记录框架或数据库的选型理由
• 整理设计备选方案及利弊
• 查找过去技术决策的原因

生成Excel文件，估算企业收购对每股收益的影响。整理收购价格、融资和协同效应假设，制作不同条件的比较表，以及用于说明收购影响的摘要。

• 估算收购对每股收益的影响
• 比较现金和股票支付条件
• 比较收购价格与协同效应假设

为处理长输入的Transformer模型接入Flash Attention，加快训练与推理中的注意力计算并减少GPU显存占用，涵盖安装、性能测量和输出比较。

• 加快长输入模型的训练
• 减少长文本推理的显存占用
• 比较处理速度与模型输出

将文字需求或Mermaid转换为可交互的系统架构与业务流程HTML图。支持搜索、追踪关系及图片和视频导出，并附上九项验证结果。

• 分享可交互的系统架构图
• 展示业务步骤和数据流
• 将Mermaid转换为HTML图

将视频或图片转换为彩色字符艺术，也可制作随音乐变化的动画。支持叠加歌词和文字、调整颜色与字符、组合视觉效果，并导出MP4、GIF或连续图片。

• 将视频转换为彩色字符艺术
• 制作随音乐变化的视觉画面
• 制作带歌词的视频

审查代码变更及其调用方，检查缺陷、安全风险、负载问题、测试缺失、速度和多余实现，按优先级报告具体故障场景、最小修复方案及未修复的影响。

• 审查PR或最近一次提交
• 检查安全与数据丢失风险
• 检查预期负载下的问题和测试缺失

审查整个代码库或指定范围，检查缺陷、安全风险、负载承受能力、测试缺失和多余代码，按重要程度报告，并附具体问题场景及最小修复建议。

• 检查接手代码的质量
• 排查多用户使用时的风险
• 找出多余代码和依赖项

审查整个代码仓库的缺陷、安全风险、负载问题和测试缺失，同时检查性能及多余实现，按优先级报告修复方案与不修复的影响。

• 了解接手代码库的整体质量
• 检查安全和负载方面的风险
• 找出适合删除、合并或拆分的代码

检查代码改动中的缺陷、安全风险、预期负载问题、测试缺失、性能问题和多余实现，按优先级报告具体出错情境、最小修复方案及不修复的影响。

• 合并拉取请求前审查代码
• 检查未提交改动的缺陷与风险
• 查找高风险逻辑缺少的测试

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

Modernize the claude-flow v3 command-line interface by splitting large command files, adding interactive prompts, connecting hooks that run on execution events, and organizing multiple commands into automated workflows with progress reporting.

中文简介正在准备中。当前显示英语简介。

• Splitting large command files into focused modules
• Adding interactive setup prompts
• Recording command results through execution hooks

Build agent memory with ReasoningBank and AgentDB. Record actions and outcomes, retrieve similar experiences, assess results, and consolidate memories into reusable patterns so agents can draw on past work when making decisions.

中文简介正在准备中。当前显示英语简介。

• Build agent memory that reuses past experiences
• Record and assess sequences of agent actions
• Consolidate similar experiences into reusable patterns

Extract and verify text, numbers, objects, and sequences from images, documents, and video. Record where each finding appears, check exact labels and values, and build answers whose supporting evidence can be traced back to the input.

中文简介正在准备中。当前显示英语简介。

• Extracting and checking numbers in documents
• Tracing video events to timestamps
• Reading and verifying labels in images

Evaluate substantial software changes against the actual problem, current system, and concrete users or components that need them. Choose a sufficient scope, assess consequences, and, when implementation is requested, make the change and verify its behavior.

中文简介正在准备中。当前显示英语简介。

• Assessing whether a feature proposal is needed
• Reducing the scope of a refactor or migration
• Checking who needs a proposed API or data field