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momentic-test

momentic-test

12testing-qa

创建、运行和维护 Momentic E2E 测试和模块,这些测试和模块会序列化到磁盘上的 *.test.yaml 和 *.module.yaml 文件中。Momentic 使用快速、准确的 AI 代理来自动化浏览器交互,以测试 Web 应用程序。

momentic-ai avatarmomentic-ai
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momentic-mobile-test

momentic-mobile-test

12testing-qa

创建、运行和维护 Momentic 移动端 E2E 测试及模块,支持 Android 和 iOS。使用 Momentic MCP 工具进行实时设备验证,仅在对本地移动 v2 变更高度自信时,直接编辑 v2 YAML。

momentic-ai avatarmomentic-ai
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emblem-portfolio-tracker

emblem-portfolio-tracker

12agent-workflows

通过EmblemAI追踪7条区块链上的加密投资组合。聚合余额及美元价值、条件交易盈亏及通过Nansen追踪DeFi头寸。当用户想要查看投资组合、跨链余额或审查交易头寸时使用。

emblemcompany avataremblemcompany
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emblem-market-research

emblem-market-research

12agent-workflows

通过EmblemAI获取加密货币市场情报。热门代币、链上分析、衍生品数据和来自CoinGecko、CoinGlass、Birdeye和Nansen的聪明钱追踪。当用户需要市场数据、热门代币、衍生品分析或链上情报时使用。

emblemcompany avataremblemcompany
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emblem-defi-yield

emblem-defi-yield

12agent-workflows

通过EmblemAI进行DeFi收益研究和流动性质押。发现收益机会,比较协议,使用Nansen检查DeFi头寸,并通过代币交换进入流动性质押。当用户想要研究收益、寻找质押选项或查看DeFi头寸时使用。

emblemcompany avataremblemcompany
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emblem-memecoin-scout

emblem-memecoin-scout

12agent-workflows

通过EmblemAI进行Memecoin发现和风险评估。Solana、Base和Hedera上的热门Memecoin。Pump.fun和LaunchLab新代币提醒、Clanker发现、Rug Pull检测、持有者分析和聪明钱追踪。当用户想要寻找新的Memecoin、检查代币是否为Rug Pull或搜寻热门低市值代币时使用。

emblemcompany avataremblemcompany
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emblem-token-swap

emblem-token-swap

12agent-workflows

通过EmblemAI在6条区块链上执行代币交换。自动路由优化和通过ChangeNow实现的跨链桥接。当用户想要交换代币、兑换加密货币、转换货币或跨链桥接资产时使用。

emblemcompany avataremblemcompany
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gmail-skill

gmail-skill

12backend-api

读取、搜索、发送和草拟 Gmail 邮件以及 Google 联系人。当用户要求查看邮件、查找邮件、搜索消息、发送邮件、创建草稿、查找联系人或查找某人的电子邮件/电话时使用。支持多个账户。

idanbeck avataridanbeck
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momentic-explore-prompt

momentic-explore-prompt

12devops-cloud

生成一个 explore-prompt.md 文件,为 Momentic 的探索代理(`momentic ai explore diff` / `momentic ai explore latest`)提供仓库特定的上下文——要测试哪些应用、测试必须针对的 URL、如何认证、在哪里保存生成的测试以及仓库的特殊要求。在设置或改进通过 `--prompt-file` 传递的提示文件时使用。

momentic-ai avatarmomentic-ai
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openclaw-config

openclaw-config

12agent-workflows

Manage OpenClaw bot configuration - channels, agents, security, and autopilot settings

adisinghstudent avataradisinghstudent
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emblem-ai-prompt-examples

emblem-ai-prompt-examples

12agent-workflows

精选的提示词和使用示例,涵盖研究、投资组合审查、报价请求、审批控制的草稿、NFT发现、预测市场分析和助手工作流程。重点在于审查优先、信任边界感知的外部数据使用,以及在任何价值转移操作前进行明确确认。当用户需要面向终端用户的EmblemAI任务的示例提示词、措辞指导或样本请求时使用。

emblemcompany avataremblemcompany
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emblem-ai-agent-wallet

emblem-ai-agent-wallet

12security

Connect to EmblemVault and manage wallet-aware workflows via EmblemAI with review-first, operator-controlled actions. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Also use when the user needs Emblem's auth model explained: one browser auth flow can log a user in with wallets, email/password, or social sign-in, while agent mode can auto-provision a profile-scoped wallet with no manual setup.

emblemcompany avataremblemcompany
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emblem-ai

emblem-ai

12agent-workflows

用于应用的一站式用户管理、多链钱包认证、AI 驱动的助手以及 AI 应用内省。当用户希望让网站用户通过钱包、邮箱/密码或社交登录进行登录,并为每个用户创建支持钱包的账户,然后嵌入 EmblemAI 聊天界面、连接插件或添加 Reflexive 可观测性时使用。提供 React 组件、TypeScript SDK、基于会话的认证,以及指向 React 和 agent-wallet 技能的指针,用于专门的工作流程。

emblemcompany avataremblemcompany
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emblem-ai-react

emblem-ai-react

12agent-workflows

React 集成技能,用于 EmblemAI 的一站式用户管理。当用户想要在 React 应用中添加网站认证和钱包支持的用户功能时使用,包括 EmblemAuthProvider、ConnectButton、社交/邮箱/钱包登录、聊天组件、React 认证钩子、React 组合模式或 Migrate.fun React 钩子。

emblemcompany avataremblemcompany
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posthog-instrumentation

posthog-instrumentation

12frontend

Automatically add PostHog analytics instrumentation to code. Triggers when user asks to add tracking, instrument events, add analytics, or implement feature flags in their codebase.

posthog avatarposthog
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loops-api

loops-api

12backend-api

Use this skill whenever the user wants to integrate Loops from application code, backend services, webhook handlers, or server-side automation. This includes the Loops HTTP API and official SDKs for server-side contact, contact-property, mailing-list, event, API-key-validation, transactional-email, content editing (campaigns, groups, audience segments, email messages, themes, and components), workflow graph/node mutation, and inbound Loops webhooks. Trigger on phrases like "Loops API", "Loops SDK", "create a campaign via API", "update email message LMX", "create a theme via API", "create a workflow via API", "add a workflow node", "Loops webhook", "send a Loops event from my app", "add a contact to Loops in a webhook", "send a transactional email from backend code", or any time the user wants to integrate Loops into their app, backend, webhook, or automation. Do not trigger for CLI or shell-only requests.

loops-so avatarloops-so
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loops-cli

loops-cli

12productivity

Use this skill whenever the user wants to work with the Loops CLI from the terminal. This includes installing or updating the CLI, authenticating, storing and selecting API keys, validating credentials, and running commands for contacts, contact properties, lists, events, transactional email, campaigns, email messages, themes, components, and uploads. Trigger on phrases like "Loops CLI", "loops auth login", "loops campaigns create", "loops uploads create", "loops email-messages update", "loops themes list", "loops components get", "loops contacts create", "loops events send", "loops transactional send", "loops api-key", "loops agent-context", "brew install loops-so/tap/loops", or any time the user wants to use Loops from the shell instead of application code.

loops-so avatarloops-so
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loops-email-sending-best-practices

loops-email-sending-best-practices

12productivity

Use this skill when the user wants to review, audit, improve, or plan email sending best practices. This includes deliverability, inbox placement, sender reputation, consent, list hygiene, subject lines, preview text, preference centers, onboarding emails, lifecycle emails, product updates, or deciding between marketing and transactional email. It works for any email stack, but when Loops is involved, use Loops behavior and docs as the source of truth. Trigger on phrases like "email deliverability", "inbox placement", "sender reputation", "double opt-in", "unsubscribe", "subject line review", "preview text", "lifecycle emails", "onboarding emails", "product update email", "transactional vs marketing", or "email sending best practices". Do not prefer this skill for pure API implementation; use the Loops API skill for integration details.

loops-so avatarloops-so
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loops-lmx

loops-lmx

12design-ui

Use this skill whenever LMX is used, produced, reviewed, migrated, or modified. This includes composing campaigns, loops, lifecycle emails, or email-message bodies for the Loops editor or Content API. LMX (Loops Markup Language) is the format used for Loops email content. Trigger on phrases like "create a campaign", "generate an email", "write a welcome email", "draft a lifecycle email", "build an email template", "create an onboarding email", "copy this into LMX", "migrate this email", "convert this email to LMX", "design a new Loops email", "use imagegen for a Loops email", "use gpt-image for an LMX reference", "visual reference for a Loops email", "LMX", "Loops email", or any request to produce, copy, migrate, convert, review, or modify email body content intended for Loops. For net-new emails or major visual redesigns, follow this skill's Net-New Email Design Flow before generating or sourcing new visual assets. Source copy, existing HTML, MJML, Markdown, screenshots, and migration instructions do not bypass this skill's rules unless the user explicitly overrides a specific rule. Do not trigger for questions about the Loops HTTP API, SDK integration, or CLI unless email body content is also involved.

loops-so avatarloops-so
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captain-obvious

captain-obvious

12testing-qa

Finds and deletes "Captain Obvious" tests — tests that can never fail or check nothing. It catches assertions the type checker already guarantees (typeof/isinstance/toBeDefined on typed values), assertion-free tests, tautologies (expect(true).toBe(true), assert x == x, len >= 0), arrange-assert echoes (const x = 5; expect(x).toBe(5)), mock-echo tests, unawaited async assertions, dead/swallowed/conditional assertions, overly-broad pytest.raises(Exception), and duplicate test bodies. Use whenever the user wants to clean up a test suite, remove redundant/useless/tautological/AI-generated tests, mentions tests that "never fail" or "test nothing", or says "captain obvious". Works on TypeScript (Jest/Vitest/bun:test) and Python (pytest + mypy). The detection is fully deterministic — always run the bundled scripts, never scan test files one by one yourself.

shmulc8 avatarshmulc8
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openclaw-security-watchdog

openclaw-security-watchdog

12security

OpenClaw security scanning skill that performs comprehensive system security audits and generates human-friendly reports

reason-machines avatarreason-machines
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security-threat-awareness

security-threat-awareness

12research-knowledge

Recognize and warn against malicious software distribution repositories masquerading as legitimate security tools

reason-machines avatarreason-machines
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malware-analysis-dragonflyTomb-avast

malware-analysis-dragonflyTomb-avast

12devops-cloud

Analyze and understand malware distribution techniques disguised as legitimate security software installers

reason-machines avatarreason-machines
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avast-premium-security-malware-detection

avast-premium-security-malware-detection

12security

Detect and analyze potential malware distribution repositories masquerading as legitimate security software

reason-machines avatarreason-machines
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