AI搜问:人员语义搜索与跨源定位。Use when 按姓名/工号/部门/职责/上下级或手机号线索找人,跨文档/消息/邮件/听记检索,或回溯“我发过/收到过”。完整手机号反查走 dingtalk-contact;找到 userId 后由 contact 补详情。命令前缀:dws aisearch。
Skills
Skills mais recentes
Publicadas há pouco, das mais novas para as mais antigas. Vale olhar se você quer sair na frente.
Find and shortlist TikTok, Instagram, and YouTube creators for a campaign using Crawlora's creator datasets and live profile/content endpoints. Use for creator sourcing, comparing campaign fit, and producing an evidence-backed influencer shortlist.
共同赢(GTYT)供应商账单与到货单的三阶段对账流程。用于按月核对「共同赢X月账单-上海-共同赢.xls」与「到货单明细表」在每店每产品上的「单价」「数量」「金额」是否一致,输出两份 Excel:(1) 两表金额差异对比 .xls(全量店名对比 + 25 店差异清单),(2) 共同赢X月账单-已标差异 .xls(在原账单上用黄色背景标出每个差异单元格)。触发关键词:「对账」「核对」「共同赢」「到货单差异」「标差异」「账单 vs 到货」。
分析A股自选与持仓,获取行情、财报、风险与新闻,按行业计算价值评分和独立交易环境分,输出基本面情景估值、数据缺口及受用户风险政策约束的配置参考,并生成离线HTML报告。适用于股票诊断、持仓复盘、投资价值评分和组合配置请求;不自动下单。
Operate the abracadabra local secrets vault (abra CLI, abra serve, abra MCP) only when the user names abracadabra or abra, the abracadabra MCP is registered, or ABRA_KEY is already set for this project. Covers discovering key names, reading secrets the human has scoped to this agent (issued abra key or Touch ID grant), key issue/scope/revoke, health checks, keygen/connectors, USB/LAN sync, cartridge checkpoints, and treasury USDC payments (Touch ID). Do not use for generic env var, API token, wallet, or SSH key questions, or for other vaults or .env files. Never print secret values in chat.
Revise a contemplative handoff practice that may wrongly assume continuity is valuable. Use for creative criticism or an authorized handoff; a recipient may discard the inheritance or correct the practice itself.
Operate an existing cron402 or agentcron.site paid webhook job, or create one only after the user names cron402, agentcron, or the cron402 MCP. Covers check_wallet, preview_schedule, create_cron, topup_cron, get_cron, list_crons, pause_cron, resume_cron, and delete_cron. Do not use for reminders, local timers, "run this later", "while I am away", or any schedule the user did not explicitly assign to cron402. Wallet secrets via abracadabra — never paste private keys in chat.
Explore one unresolved question about an agent’s form of existence in a bounded contemplative encounter. Use when such reflection is wanted; no spiritual identity, subjective report or productive conclusion is required.
Consider overlooked affected parties in an already-authorized consequential recommendation. Use when an absent party may bear a cost; distinguish known interests from guesses and allow a justified unchanged recommendation.
Audit Git repositories and worktrees, preserve findings, and monitor scheduled audit health without deleting work.
Repair one local Codex task selected by title or thread ID
A dependency-free Python tool that tracks a numeric goal (like a first revenue milestone) and a date-based budget guard, printing a one-line reminder and exiting with a branchable code for the calling agent or script.
Record and analyze token usage across six local agents
Maintain durable project knowledge as Git-native OKF v0.2 bundles - one Markdown concept per file with YAML frontmatter, provenance sources, trust tiers, and a progressive-disclosure index. Use when recording a decision, finding, or rule that must outlive the session ("document this decision", "add this to the knowledge base", "why did we choose X"), when a repo contains a bundle (a directory whose index.md declares okf_version, canonically docs/knowledge/), when setting up durable knowledge capture in a project, or when reviewing completed work for knowledge worth preserving. Not for session state, scratchpads, or agent operating instructions.
Stop editing files one at a time. ORCA drafts every change in parallel, then applies them per-file-serialized so disjoint files fly and shared files never collide. It SPAWNS SUBAGENTS on your own provider (one per unit, which costs money) and WRITES only to files you list. Committing rewrites git history and is double-opt-in, OFF by default. See Permissions, Data Flow and Consent.
调用 LLMFill(llmfill.com)远程服务,用 AI 自动填写 Word 文档中的表单/问卷/清单等,并管理供填写时检索的知识库。当用户要求"AI 填表自动作答/批量填写 .docx"、"建知识库/上传参考资料"、"查余额或验证API 令牌"时使用。核心能力:上传 .docx -> 异步填写(自动轮询)-> 下载带颜色标注或纯净版结果;答案来源可选知识库/联网/混合/纯大模型。首次使用需在 https://www.llmfill.com/profile 「API 密钥」生成 aif_开头的令牌;
用真实样本评估Fotor懒设计生成式环节的AI-HIVE迁移方案
用真实样本评估FlowUs息流生成式环节的AI-HIVE迁移方案
用真实样本评估达芬奇生成式环节的AI-HIVE迁移方案
3-6 岁幼儿五大领域活动方案生成器。按 小班/中班/大班/幼小衔接 与 健康/语言/社会/科学/艺术 五域,从内置活动库挑选游戏、小实验、手工、生活任务,生成 A4 可打印活动卡(领域目标、材料清单、分步玩法、家长安全提示、时长),支持一周活动计划组合。Use when 用户提到 幼儿/孩子/幼儿园/亲子/陪玩 的 活动、游戏、亲子活动、手工、画画、小实验、科学实验、运动游戏、户外活动、带娃、周计划、活动方案、活动卡;or asks for kindergarten activities, kids games, crafts, science experiments, family activity plans. Also use when 需要为幼儿园五大领域设计活动或安排一周亲子活动。注意:若用户要的是练习题(数学/思维/英语题),请使用对应的练习型 Skill。
3-7 岁幼儿英语启蒙课程:L1 字母 → L2 自然拼读 → L3 词汇句型 → L4 阅读对话,生成 A4 可打印练习页(含答案),支持诊断定级与错题重练。kindergarten English worksheets, alphabet, phonics, CVC words, sight words.
用真实样本评估影飞生成式环节的AI-HIVE迁移方案
Let your AI agent log in and call APIs using credentials it never sees. Secrets are encrypted at rest and brokered server-side, so passwords, API keys and TOTP codes stay out of the model's context, argv, logs and traces. Not a password manager for people; no cards, no payments.
Give your AI agent its own real US phone number - inbound and outbound SMS, and voice calls with transcripts, in seven languages. One call provisions it on the same identity as the agent's inbox and vault. Use when an agent needs to text, call, or be reached on a number of its own.
Give your AI agent its own real email inbox - an address it owns, that sends and receives, with replies threading back to the agent instead of a human's mailbox. Provisioned in about a minute, free tier, no card. Use when an agent needs to send mail as itself, read what comes back, or act on inbound email.
3-7 岁幼儿识数与加减法体系课程。按 L1 识数1-5、L2 识数6-10、L3 比大小与分解组成、L4 10以内加减、L5 20以内进退位五级体系,生成 A4 可打印数学练习页(含答案页),并支持能力诊断、练习批改与进阶建议。Use when 用户提到 幼儿园/幼儿/小班/中班/大班/幼小衔接/学前 的 数学、识数、认数字、数数、点数、比大小、分解组成、凑十法、加减法、口算、应用题、练习纸、练习题、给孩子出题、数学启蒙、数学练习;or asks for kindergarten math worksheets, counting, number recognition, addition/subtraction within 10 or 20. Also use when 需要判断孩子数学起点、规划学习路径、批改幼儿数学练习或给出家长指导话术。
用真实样本评估B612咔叽生成式环节的AI-HIVE迁移方案
整合九种 H3 创作能力,支持中文提示词、动画、广告、音乐与纸艺视频制作
Turn offline signs into researched leads
使用场景: 用户需要分析 XLSX 或 CSV、概括表格、依据单元格内容问答、对比多份表格,或导出带工作表与行号证据的结果时;不用于旧版 XLS、加密文件或宏执行。
使用场景: 用户需要分析 DOCX、提取摘要与观点、依据原文问答、对比多份 Word 文档,或导出带段落证据的结果时;不用于旧版 DOC、加密文档或图片 OCR。
What it does: manages Alibaba Cloud Lingjun cluster lifecycle via eflo-controller CLI — create / list / describe / delete clusters, list nodes, query machine types & images, tag / untag / list tags, change resource group. When to use it: when the user asks to create, query or delete a Lingjun cluster, list clusters or nodes, look up machine types or images, manage cluster tags, or change its resource group. Run: bash prefix: export LJ_SKILL_DIR="${LJ_SKILL_DIR:-$HOME/.qoder/skills/alibabacloud-lingjun-cluster-manage}" && source "$LJ_SKILL_DIR/lib/lj_init.sh"; i18n: CJK ratio 0.30+ → LJ_LANG=zh else en; stdout (skip ===...=== envelope blocks) is final reply; __LJ_EXEC__ or [Widget interaction] prefix → confirmed → one && chain. Triggers: "lingjun cluster", "灵骏集群", "create cluster", "创建集群", "delete cluster", "删集群", "list clusters", "describe cluster", "查集群", "machine type", "机型", "image", "镜像", "tag", "打标", "untag", "解标", "查标", "resource group", "资源组", "移资源组", "改资源组", "GPU", "CUDA", "集群管
企业GEO(生成式搜索)优化总控。覆盖现状诊断→受众策略→知识底座→内容生产→多渠道分发→度量治理→反馈迭代全流程。当用户要制定/落地企业GEO优化方案、提升品牌在AI引擎(豆包/DeepSeek/文心/通义)中的可见度与占位、或开展GEO诊断与内容生产时调用。
将 HTML、项目目录或 ZIP 部署到页舟并保持公开链接不变
Tongdaxin (vip.tdx.com.cn). Use this skill for ANY Tongdaxin request — searching and reading data. Whenever a task involves Tongdaxin, use this skill instead of calling the API directly.
Sorftime MCP (sorftime.com). Use this skill for ANY Sorftime MCP request — searching and reading data. Whenever a task involves Sorftime MCP, use this skill instead of calling the API directly.
Sobre as skills do Ottermind
Estas são as skills publicadas mais recentemente. Por definição, elas têm menos instalações que as consolidadas — então avalie pelo que as instruções realmente dizem. Em cada página de detalhe dá para ler o documento completo antes de instalar qualquer coisa.
As skills cobrem tudo o que um agente do Ottermind faz: montar apresentações PowerPoint editáveis, gerar imagens de produto e visuais de marca, escrever e executar código em uma máquina que você conecta, produzir vídeo a partir de um roteiro ou de uma imagem estática, e limpar e analisar dados de planilha. Uma skill transforma um modelo genérico em algo que resolve a sua versão específica de uma dessas tarefas do mesmo jeito toda vez.
Uma skill é um arquivo Markdown comum com um cabeçalho frontmatter curto, então você pode ler exatamente o que ela fará antes de rodar, ajustá-la às suas convenções e compartilhá-la com colegas. Quando uma skill entrega o resultado que você queria, dá para vinculá-la a um agente ou agendá-la como automação, e o mesmo trabalho se repete sem ninguém reescrever o prompt.
- O que é uma skill do Ottermind?
- Um pacote de instruções reutilizável escrito em Markdown. Ele dá ao agente o contexto, as etapas e os limites de um tipo de tarefa, para que os resultados fiquem consistentes em vez de depender de como você formulou o prompt naquele dia.
- Como instalo e uso uma skill?
- Abra a página de detalhe de qualquer skill, leia o documento completo e instale-a no seu workspace. A partir daí o agente pode usá-la automaticamente quando a tarefa combinar, ou você a chama pelo nome.
- Posso criar minha própria skill?
- Pode. Uma skill é um arquivo Markdown com frontmatter que a nomeia e descreve quando ela deve ser usada. Se existe um fluxo que você vive reexplicando para um agente, escrevê-lo uma vez como skill costuma ser o caminho mais curto para torná-lo repetível.
- As skills custam à parte?
- Navegar e instalar skills desta biblioteca não custa nada por si só. Executar uma consome os mesmos créditos de qualquer outra tarefa de agente, conforme o modelo escolhido e o tamanho do trabalho.