搜索「Business」的结果

io.github.obra/superpowers/brainstorming

任何创造性工作之前必须先使用——创建功能、构建组件、添加能力或修改行为。在实现之前探索用户意图、需求与设计。

飞书 CLI 认证配置 lark-shared

io.github.larksuite/cli/lark-shared

用于 lark-cli 的登录、身份切换与权限范围等认证配置任务。

io.clawhub.jk-0001/automation-workflows

为独立创业者（solopreneur）设计并实现自动化工作流，以节省时间并扩大运营规模。适用于识别可自动化的重复任务、跨工具搭建工作流、配置触发器与动作、优化现有自动化。涵盖自动化机会识别、工作流设计、工具选型（Zapier、Make、n8n）、测试与维护。在提到“automate”“automation”“workflow automation”“省时间”“减少手工”“自动化我的业务”“无代码自动化”时触发。

美股分析

v0.1.1

io.clawhub.veeramanikandanr48/us-stock-analysis

全面的美股分析：基本面分析（财务指标、企业质量、估值）、技术面分析（指标、图表形态、支撑/阻力）、股票对比与投资报告生成。当用户要求分析美股代码（如“分析 AAPL”“对比 TSLA 与 NVDA”“给我一份微软的报告”）、评估财务指标、做技术图表分析或寻求美股投资建议时使用。

io.clawhub.lucasayala/automation-workflows-0-1-0

设计并实施自动化工作流，帮助独立创业者节省时间并扩展运营。在识别可自动化的重复任务、跨工具搭建工作流、设置触发器和动作，或优化现有自动化时使用。涵盖自动化机会识别、工作流设计、工具选型（Zapier、Make、n8n）、测试和维护。在「automate」「automation」「workflow automation」「save time」「reduce manual work」「automate my business」「no-code automation」时触发。

io.clawhub.fetcher-sh/google-news

A Google News API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no RSS scraping. Use when the user wants keyword search across Google News scoped to a language edition, section headlines (world, business, technology, entertainment, sport, science, health, or a specific topic ID), the latest headlines, a list of supported language-region codes, or to decode a Google News redirect URL into the real article URL. Also covers news monitoring, headline aggregation, media tracking, and press-mention alerts without scraping Google News' RSS feeds directly.

io.clawhub.fetcher-sh/google-maps-api

A Google Maps API alternative and Google Places API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no Google Cloud billing account. Use when the user wants to search places by text query or anchor the search to a latitude/longitude coordinate, fetch a place's full details by its feature ID (fid), pull a place's reviews sorted by relevance/newest/rating, or look up a single review by ID. Also covers local business discovery, points-of-interest data, store-locator input, and review monitoring without Google Cloud Platform's API key setup, billing, and per-request pricing.

io.clawhub.fetcher-sh/yelp-api

A Yelp API alternative on fetcher.sh — pay-per-call in USDC via x402, or prepaid credits with a Bearer key, no Yelp Fusion API app approval. Use when the user wants to search local businesses by query and location sorted by rating or review count, fetch a business's full details by ID or by its Yelp URL handle/slug, or fetch a business's reviews. Also covers local business discovery, restaurant/service research, review sentiment input, and competitor monitoring for local businesses without Yelp Fusion API's app-approval process and daily call caps.

io.clawhub.tomstools11/research-company

进行 B2B 公司研究并产出专业的 PDF 报告。当被要求调研一家公司、分析一门生意、创建客户画像，或基于公司网址生成市场情报时使用。输出格式精美、可直接下载的 PDF 报告。

io.clawhub.undsoul/qlik-cloud

完整的 Qlik Cloud 分析平台集成，含 37 个工具：健康检查、搜索、应用管理、数据重载、自然语言查询（Insight Advisor）、自动化、AutoML、Qlik Answers AI、数据提醒、空间、用户、许可证、数据文件与血缘。当用户询问 Qlik、Qlik Cloud、Qlik Sense 应用、分析仪表盘、数据重载，或想用自然语言查询业务数据时使用。

io.clawhub.g9pedro/loom-workflow

面向 Loom 录屏的 AI 原生工作流分析器，把录制下来的业务流程拆解为结构化、可自动化的工作流。使用场景： - 分析 Loom 视频以理解工作流 - 从屏幕录制中提取步骤、工具与决策点 - 从视频演示生成 Lobster 工作流文件 - 识别流程中的歧义与人工介入点

io.clawhub.1kalin/financial-tracker

以结构化 CSV 格式跟踪企业收入与支出。对交易分类、监控现金流、生成损益摘要、发现消费趋势。

io.clawhub.pupujanet-eng/prd-writer

撰写结构清晰、以战略为导向的产品需求文档（PRD），聚焦功能背后的原因、业务目标与用户成果，面向 AI 产品经理。

io.github.lobehub/lobehub/lobe-design

Single entry for LobeHub UI design work. Routes any instruction — macro ("重做这个后台", "整体打磨一下"), medium ("把列表页的交互和空态补齐") or fine ("这个按钮颜色不对", "修 K-07") — into a business-first, layered pipeline of focused stages: 00 brief → 05 init → 10 decode → 20 direction → 30 structure → 40 flow → 50 visual → 60 system → 70 detail → 75 copy → 80 review. Covers seven scenarios: 0→1 visual pages (landing / portfolio / campaign), polishing existing product UI, admin consoles / dashboards / forms / workflows, design-system unification, screenshot restoration, pre-launch audit, and project bootstrap (AGENTS.md). Grounded in classic analysis models (double diamond, Gestalt, Nielsen heuristics, Kano, peak-end, Fogg, journey map, cognitive load) and in a layered component boundary: take atoms from @lobehub/ui, build business composites yourself. Built on @lobehub/ui, @lobehub/ui/form, @lobehub/ui/pro-table, cssVar tokens, @lobehub/charts / icons / fluent-emoji / streamdown, with runnable lint, route, refs and bootstrap checks; in-pr

io.github.affaan-m/ECC/test-collaboration

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing test registry or TESTS.md. Use for test inventory, test gap analysis, unit/integration/contract/E2E/smoke classification, bug-to-test regression protection, consumer/provider contract testing, test-necessity review, and pre-delivery evidence review.

io.github.affaan-m/ECC/test-collaboration

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing test registry or TESTS.md. Use for test inventory, test gap analysis, unit/integration/contract/E2E/smoke classification, bug-to-test regression protection, consumer/provider contract testing, test-necessity review, and pre-delivery evidence review.

io.github.twentyhq/twenty/syncable-entity-integration

Contributing to the Twenty codebase itself (twentyhq/twenty server internals), not for building apps on top of Twenty. Wire syncable entity services into NestJS modules, create service layer and resolvers for Twenty entities. Use when registering builders, validators, and action handlers in modules, creating business services, or exposing entities via GraphQL API with proper exception handling.

io.github.PostHog/posthog/querying-posthog-data

在编写任何 HogQL/SQL 或调用 execute-sql 查询 PostHog 前的必读内容。当用户想搜索、查找或对 PostHog 实体（insight、仪表盘、群组、feature flag、实验、问卷、hog flow、数据仓库、person 等）做复杂聚合，以及查询分析数据（趋势、漏斗、留存、生命周期、路径、粘性、Web 分析、错误追踪、日志、会话、LLM traces）时使用。对受治理的业务或遥测指标（MRR、激活、计费用量、活跃组织、失败率）同样是第一站：先从原始事件或使用带类型的领域工具推导之前，检查语义层（system.information_schema.metrics 中的规范指标）。涵盖 HogQL 与 ClickHouse SQL 的语法差异、系统表 schema（system.*）、可用函数、查询示例与 schema 发现工作流。

io.github.Agents365-ai/drawio-skill/drawio-skill

当用户要求示意图、流程图、架构图、ER 图、UML/时序/类图、SysML/MBSE 图（内部块定义、内部块图、需求图、参数图）、BPMN 业务流程图、泳道/跨职能流程图、网络拓扑、依据 Terraform 或 Kubernetes manifest 绘制云架构、ML/深度学习模型图（Transformer/CNN/LSTM）、思维导图或任何可视化时使用。在讲解含 3 个以上组件的系统、复杂数据流或适合以视觉呈现的关系时也应主动使用。尤其适合需要自定义样式、丰富图形词汇表、泳道或可导出图像（PNG/SVG/PDF/JPG）的图表。生成 .drawio XML 并通过原生 draw.io 桌面 CLI 在本地导出。

io.github.shareAI-lab/learn-claude-code/agent-builder

为任意领域设计与构建 AI agent。适用于用户：(1)要求“create an agent”“build an assistant”或“design an AI system”；(2)想理解 agent 架构、agentic 模式或自主 AI；(3)需要能力、subagent、规划或 skill 机制方面的帮助；(4)询问 Claude Code、Cursor 等 agent 内部实现；(5)想为业务、研究、创意或运营任务构建 agent。关键词：agent、assistant、autonomous、workflow、tool use、multi-step、orchestration。

io.github.wshobson/agents/python-design-patterns

Python 设计模式，包括 KISS、关注点分离、单一职责与组合优于继承。当从零设计新服务或组件、抉择职责分层，重构已过度膨胀的上帝类或巨型函数，决定是引入新抽象还是接受重复，评审 PR 中紧耦合或泄漏内部类型等结构问题，为新类层次在继承与组合间抉择，或代码库因 I/O 与业务逻辑纠缠而难以测试时使用本技能。

io.github.mukul975/Anthropic-Cybersecurity-Skills/exploiting-excessive-data-exposure-in-api

针对 OWASP API3:2023（数据过度暴露）测试 API：拦截原始 API 响应并与 UI 实际渲染的内容比对，找出前端过滤掉但 API 仍在传输的 PII、内部标识、调试数据或业务敏感字段。适用于审计 REST 或移动应用 API 的过度取数、响应过滤绕过或端点响应中的非预期数据泄露。

io.github.PostHog/posthog/suggesting-data-imports

当用户询问收入、支付、订阅、账单、CRM 商机、工单、广告投放、生产数据库表等 PostHog 原生不采集的数据，或想把 PostHog 产品事件与这些外部业务数据关联分析时使用。当查询因表不存在失败、或预期外部数据查无结果时也使用。数据仓库可从 SaaS 工具（Stripe、Hubspot、Zendesk 等）、广告平台、生产数据库（Postgres、MySQL、BigQuery、Snowflake）及其他任意数据源导入。涵盖检查现有数据源、识别正确的源类型并引导完成配置。