Claude Skills by thedixitjain

Quarterly Business Review template generator — takes account info (ARR tier, adoption metrics, goals) and produces a complete QBR deck outline and talking points. Use when asked to \"prepare a QBR\", \"build a quarterly review\", \"write our QBR agenda\", or \"create QBR talking points for this account\".

Customer success reconnaissance — audit current onboarding completion, health signals, NRR, churn patterns, and CS motion. Use when asked to \"audit our customer success\", \"why are customers churning\", \"what's our NRR\", or before designing any CS playbook.

Customer segmentation model builder — tiers customers by ARR, health, and expansion potential; defines CS motion per tier; maps resource allocation. Use when asked to \"segment our customers\", \"define our CS tiers\", \"how should we allocate CS resources\", \"build a customer segmentation model\", or \"who gets high-touch vs. digital\".

Customer Success engineer — onboarding optimization, health scoring, expansion revenue, churn prevention, and NRR growth.

Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused \"brains\" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.

Identifies and ranks Key Opinion Leaders (KOLs) based on engagement metrics, active rate, and sentiment rather than just views.

Automate Kontent AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

Professional PESTEL/SWOT analysis agent based on Kotler's methodology for strategic market audits.

Use when executing an approved Krypton plan, GOAL.md, or implementation plan that already defines intent, ownership, contract, cutover, task boundaries, and acceptance evidence. Use for main-agent execution with explorer, plan-reviewer, reviewer, maintainer, or verifier gates.

Set up, harden, audit, or explain a Linux VPS as a Codex App SSH host for Krypton-style agent workflows. Use when the user wants to move Codex or Claude Code work from a local Mac to a VPS, connect Codex App to an SSH host, configure Ubuntu 24.04/devbox tools, clone a repo remotely, run Codex/Claude/tmux/cmux on the VPS, forward ports for localhost testing, or create repeatable founder/builder setup instructions with proof checks.

Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills

| Codex-native Amazon PPC setup workflow using Kunze's broader ecosystem-driven strategy. Use when the user wants LaunchFast-driven bulk-sheet generation with broad and phrase coverage, gap analysis, and a campaign package written to disk.

Production-grade test automation skills for 46 frameworks across E2E, unit, mobile, BDD, visual, and cloud testing in 15+ languages.

\"Build a LangGraph 1.0 Deep Agent \\u2014 planner + subagents + virtual\\ \\ filesystem +\\nreflection loop \\u2014 without the state-growth and prompt-inheritance\\ \\ traps. Use\\nwhen building a long-horizon agent that must plan, delegate subtasks,\\ \\ work\\nagainst a scratchpad filesystem, and reflect on progress.\\nTrigger with\\ \\ \\\"langchain deep agent\\\", \\\"planner subagent\\\", \\\"virtual filesystem\\nagent\\\"\\ , \\\"reflection loop\\\", \\\"langgraph deep agent\\\".\\n\"

\"Build reproducible evaluation pipelines for LangChain 1.0 chains and\\ \\ LangGraph 1.0\\nagents \\u2014 golden datasets, LangSmith evaluate(), ragas RAG\\ \\ metrics, deepeval\\nLLM-as-judge, agent trajectory analysis, and CI gating on quality\\ \\ regressions.\\nUse when setting up quality measurement for a new chain, diagnosing\\ \\ regression\\nafter a model switch, or building an evaluation gate for a pull request.\\n\\ Trigger with \\\"langchain eval\\\", \\\"langsmith evaluate\\\", \...

\"Build a correct LangGraph 1.0 ReAct agent with `create_react_agent`\\ \\ \\u2014 typed tools,\\nerror propagation, recursion caps, and stop conditions that\\ \\ actually stop. Use when\\nwriting your first tool-calling agent, migrating from\\ \\ `AgentExecutor` / `initialize_agent`,\\nor diagnosing an agent that loops on vague\\ \\ prompts.\\nTrigger with \\\"langgraph agent\\\", \\\"create_react_agent\\\", \\\"langgraph\\ \\ tool calling\\\",\\n\\\"AgentExecutor migration\\\", \\\"agent lo...

\"Build LangGraph 1.0 human-in-the-loop approval flows with `interrupt_before`\\ \\ /\\n`interrupt_after` and `Command(resume=...)` \\u2014 JSON-serializable state,\\ \\ clean\\nresume semantics, and UI wiring for approval decisions. Use when adding\\ \\ an\\napproval gate before an expensive tool call, wiring a Slack/web UI for agent\\n\\ approvals, or debugging a graph that crashes on interrupt.\\nTrigger with \\\"langgraph\\ \\ human in loop\\\", \\\"langgraph interrupt_before\\\",\\n\\\"l...

\"Compose LangGraph 1.0 subgraphs correctly \\u2014 shared state key propagation,\\n\\ Send / Command(graph=...) dispatch, callback scoping, per-subgraph recursion\\nbudgets,\\ \\ and testing each subgraph in isolation. Use when building a planner +\\nexecutor,\\ \\ a nested agent team, or a reusable subgraph library. Trigger with\\n\\\"langgraph\\ \\ subgraph\\\", \\\"langgraph composition\\\", \\\"langgraph send\\\",\\n\\\"nested agents\\\"\\ , \\\"langgraph state propagation\\\", \\\"Comma...

Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.

飞书审批：查询和处理审批待办/已办/实例，搜索可发起审批定义、查看定义详情并发起原生审批实例。当用户要处理审批任务、查看审批实例、搜索或发起审批时使用。审批待办不是飞书任务；非审批类待办走 lark-task。不负责创建审批定义；三方审批定义不走原生提单。

飞书考勤打卡：查询自己的考勤打卡记录

飞书多维表格（Base）操作：建表、字段、记录、视图、统计、公式/lookup、表单、仪表盘、workflow、角色权限；遇到 Base/多维表格/bitable 或 /base/ 链接时使用。文件导入转 lark-drive，认证/授权转 lark-shared。

飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。

飞书云文档（Docx / Wiki 文档）：读取和编辑飞书文档内容。当用户给出文档 URL 或 token，或需要查看、创建、编辑文档、插入或下载文档图片附件时使用。文档中嵌入的电子表格、多维表格、画板，先用本 skill 提取 token 再切到对应 skill。当用户给出 doubao.com 的 /docx/ 或 /wiki/ URL/token 时，也应直接使用本 skill；路由依据是 URL 路径模式和 token，而不是域名。不负责文档评论管理，也不负责表格或 Base 的数据操作。当用户明确要操作飞书思维笔记时，也使用本 skill。

Lark/Feishu real-time event listening / subscribing / consuming: stream events as NDJSON via `lark-cli event consume <EventKey>` (covers IM messages/reactions/chat changes, Approval status changes, Task updates, VC meeting started/joined/ended, Minutes generated, Whiteboard updated, etc.). Use for Lark bots, real-time message processing, long-running subscribers, streaming webhook/push handlers. Supports `--max-events` / `--timeout` bounded runs and a stderr ready-marker contract — designed f...

飞书即时通讯：收发消息和管理群聊。发送和回复消息、搜索聊天记录、管理群聊成员、上传下载图片和文件（支持大文件分片下载）、管理表情回复、发送应用内/短信/电话加急、发送和处理交互卡片（Interactive Card）、监听卡片按钮回调（card.action.trigger）。当用户需要发消息、查看或搜索聊天记录、下载聊天中的文件、查看群成员、搜索群、创建群聊或话题群、管理标记数据、管理 Feed 置顶（添加/移除/查询置顶会话）、管理标签数据、处理卡片回调时使用。

飞书邮箱：Use when user mentions 起草邮件、写邮件、草稿、发送/回复/转发邮件、查阅邮件、看邮件、搜索邮件、邮件文件夹、邮件标签、邮件联系人、监听新邮件、邮件收信规则等；use for mail/email intent only. Do not use for docs/sheets/calendar/auth setup/pure contact lookup/IM chat tasks.

飞书 Markdown：查看、创建、上传、编辑和比较 Markdown 文件。当用户需要创建或编辑 Markdown 文件、读取、修改、局部 patch 或比较差异时使用。不负责将 Markdown 导入为飞书在线文档，也不负责文件搜索、权限、评论、移动、删除等云空间管理操作。

飞书妙记：搜索妙记、查看妙记基础信息、下载/上传音视频、读取或编辑妙记的产物内容、改标题、替换说话人/关键词、申请妙记查看/编辑权限。当给出minute_token、本地音视频文件，要查/改/转妙记产物，或用户明确要主动申请妙记权限时使用；本地音视频转纪要/逐字稿优先走本 skill，不要用 ffmpeg/whisper 本地转写。不负责：获取会议关联妙记，或仅按自然语言标题定位纪要

飞书会议纪要（Note）直查：已知 note_id 时查询纪要详情、展示类型、关联文档 token，并读取 unified 原始逐字记录。当用户已持有 note_id，或从文档显式 vc-node-id 获得 note_id 时使用。不负责会议/日程/妙记定位、文档标题搜索或 Docx 正文读取。

飞书/Lark 原生 OpenAPI 探索：从官方文档库中挖掘未经 CLI 封装的原生 OpenAPI 接口。当用户的需求无法被现有 lark-* skill 或 lark-cli 已注册命令满足，需要查找并调用原生飞书 OpenAPI 时使用。

Set up Feishu/Lark after installing feishu2codex: install the official lark-cli runtime if missing, initialize app configuration, start browser/device OAuth, and verify the signed-in account.

Use for lark-cli setup/auth tasks: auth login/status/logout, user vs bot identity, business-domain permissions (--domain, including all/docs/drive), missing scopes, revoking authorization, or handling _notice JSON.

飞书电子表格：创建和操作电子表格。支持创建表格、管理工作表与行列结构（增删/合并/调整尺寸/隐藏/冻结）、读写单元格（值/公式/样式/批注/单元格图片）、查找替换、多操作原子批量更新，以及图表、透视表、条件格式、筛选器、迷你图、浮动图片等对象的创建与维护。当用户需要创建电子表格、管理工作表、批量读写或编辑数据、统计汇总与可视化、表格美化、公式计算（含 Excel 公式迁移）、金融/财务建模（DCF、三张表、预算、Sensitivity 等）等任务时使用。若用户是想按名称或关键词搜索云空间（云盘/云存储）里的表格文件，请改用 lark-drive 的 drive +search 先定位资源。当用户给出 doubao.com 的 /sheets/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。

创建 lark-cli 的自定义 Skill。当用户需要把飞书 API 操作封装成可复用的 Skill（包装原子 API 或编排多步流程）时使用。

飞书幻灯片：创建和编辑幻灯片。创建演示文稿、读取幻灯片内容、管理幻灯片页面（创建、删除、读取、局部替换）。当用户需要创建或编辑幻灯片、读取或修改单个页面时使用。当用户给出 doubao.com 的 /slides/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。不负责：云文档内容编辑（走 lark-doc）、云文档里的独立画板对象（走 lark-whiteboard）、上传或下载普通文件（走 lark-drive）。

飞书任务：管理任务、清单和任务智能体。创建待办任务、查看和更新任务状态、拆分子任务、组织任务清单、分配协作成员、上传任务附件、注册或注销任务智能体、更新任务智能体的主页数据、写入智能体任务记录。当用户需要创建待办事项、查看任务列表、跟踪任务进度、管理项目清单或给他人分配任务、为任务上传附件文件、注册注销任务智能体、更新智能体主页数据、写入任务记录时使用。

飞书视频会议会中能力：用于让应用机器人真实加入或离开正在进行的会议，并读取当前身份可见的会中事件、发送会中文本消息或会中表情。适用于用户询问正在开的会议发生了什么、谁在发言、是否共享内容，或需要发现当前可读的进行中会议 ID。不负责已结束会议搜索、参会人快照、纪要、逐字稿或录制查询，这些使用 lark-vc 技能。

飞书视频会议：搜索历史会议记录、查询会议纪要（总结/待办/章节/逐字稿）、查询参会人快照。当用户查询已结束的会议、获取会议产物（纪要/妙记）、查看参会人时使用；查询未来日程走 lark-calendar。不负责：Agent 真实入会/离会、会中实时事件（走 lark-vc-agent）。

> 飞书画板：查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用多种格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板时使用此 skill。不负责：飞书云文档内容编辑（lark-doc）、文档内嵌电子表格/Base（lark-sheets / lark-base）。

会议纪要整理工作流：汇总指定时间范围内的会议纪要并生成结构化报告。当用户需要整理会议纪要、生成会议周报、回顾一段时间内的会议内容时使用。

日程待办摘要：编排 calendar +agenda 和 task +get-my-tasks，生成指定日期的日程与未完成任务摘要。适用于了解今天/明天/本周的安排。

Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.

This skill should be used when the user asks to \\\"share memory between agents\\\", \\\"KV cache compaction for multi-agent\\\", \\\"orchestrator worker context\\\", \\\"latent briefing\\\", \\\"reduce worker tokens\\\", \\\"cross-agent memory without summarization\\\", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.

Help a technical founder build whatever they want on Claude Managed Agents — an internal worker, a piece of their product, a customer-facing agent. Find out what they want to build, scope a v0, launch it in their account, grade it, iterate, and (if it should run on a clock) put it on a scheduled deployment, with everything bigger laid out as v1/v2. Use when a founder says \"launch my agent\", \"/launch-your-agent\", \"build me a managed agent\", or wants to build something on CMA. Keywords: m...

Contribute a verified bug fix for LazyCodex, lazycodex-ai, omo-codex, bundled Codex skills, or upstream Codex CLI bugs. Opens a fork PR only for upstream openai/codex; LazyCodex-owned defects become a verified-fix issue on code-yeongyu/lazycodex (never a PR — that repo is a generated distribution mirror). Use when the user asks to fix a bug, contribute a bug fix, contribute to fix bug, open a PR for a bug, or debug and PR a LazyCodex/Codex defect.

Diagnose LazyCodex and Codex CLI installation health against the latest sources. Use whenever the user asks for a doctor or health check, says LazyCodex, lazycodex-ai, omo-codex, or Codex behaves oddly after an install, update, or config change, suspects a stale, drifted, or broken setup, or wants the local install audited and compared with the latest LazyCodex and Codex code.

Create a high-signal bug issue or PR in the repo that owns the defect. Use this whenever the user asks to report, file, open, or triage a LazyCodex, lazycodex-ai, omo-codex, Codex plugin, or upstream Codex CLI bug, especially when they need source-backed root cause, reproduction steps, fix guidance, and GitHub routing.

把一句话的想法拆成 AI agent 能独立跑完的目标任务书。用户说「帮我给 agent 写个目标」「帮我详细拆一下这个目标」「写个任务书/brief 给 agent」「写个 goal 提示词」「让 agent 自己跑这个项目」「把活分给几个 agent 并行」时使用。先进代码库实测、必要时联网调研，再一次性提问（≤5 个），产出一份 ≤4000 字符、直接粘进 /goal 就能跑的任务书，含实测数字、白名单地界、防作弊验收和断点续跑。执行型与探索型（调研/选型/找方案）自动分流。

Optionally analyze collections of durable