Benchmark Email Automation Agent Skill

Benchmark Email Automation

by christophacham

×2

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

Engagement Inbox Manager

by aaron-he-zhu

Use when the user asks to "triage our comments, DMs, and mentions", "draft replies to this thread", "can we repost this fan post", or "set up inbox SLAs and an escalation path"; produces a ranked triage queue with register detection (sincere / ironic / performative / parasocial, sentiment-inversion table included — "this is so bad" under a comedy register is praise), a commenter taxonomy (troll monitor-only / rager / misguided / unhappy-customer / advocate) with a response-tier ladder and per-channel SLAs, an escalation matrix ending at the crisis path, a moderation ladder plus house rules for owned spaces, and a UGC curation-and-rights mode whose dated permission entries route to the channel registry — every reply is a ranked DRAFT a human posts; nothing is ever auto-sent. Not for launch-window feedback triage — use launch-feedback-synthesizer. 评论私信提及分诊/语域识别/回复草稿/UGC授权

Linux Hardening

by BagelHole

Apply CIS benchmarks and secure Linux servers. Configure SSH, manage users, implement firewall rules, and enable security features. Use when hardening Linux systems for production or meeting security compliance requirements.

Benchmark Email

by membranedev

| Benchmark Email integration. Manage data, records, and automate workflows. Use when the user wants to interact with Benchmark Email data.

Agentsop LLM Tool Idempotency

by agentsope

>- Decision protocol for making side-effectful agent tools idempotent — so when an LLM tool call is retried (timeout, framework resume, user re-run, model duplicate emit), the second it'll call exactly once; the tool must promise the second call is safe. Framework-agnostic — applies to LangGraph node bodies that re-run on resume, MCP tools, OpenAI tool-calling duplicate email sent, charged twice, exactly-once, idempotency key, tool called twice, retry side effect, double-send, at-least-once delivery.

Ml Intern

by AlexWortega

Autonomously research, implement, train and ship ML code using the Hugging Face ecosystem. Port of huggingface/ml-intern as a Claude Code skill. Triggers when the user asks to implement, train, fine-tune, or reproduce an ML model / paper / dataset workflow (e.g. "implement DeepSeek-V3 at 100M", "fine-tune Qwen on dataset X", "reproduce paper Y"). Clarifies ambiguous tasks before starting, runs under an explicit experiment budget, explores multiple viable solution paths in parallel via implementation subagents, and diagnoses + retries failed runs. HF-native: pulls datasets/models/papers from the Hub, pushes trained checkpoints + run logs back to the Hub. Emits Telegram + Slack milestone alerts via scripts/notify.sh.

Devexpress Wpf AI Chat Control

by DevExpress

Embed a Copilot-inspired AI chat interface in WPF apps with DevExpress AIChatControl — install DevExpress.AIIntegration.Wpf.Chat, change the project SDK to Microsoft.NET.Sdk.Razor, register an IChatClient (Azure OpenAI / OpenAI / Ollama / Semantic Kernel) with AIExtensionsContainerDesktop.Default, drop the control inside a ThemedWindow, and enable features like response streaming, Markdown rendering, file attachments, prompt suggestions, and chat history persistence. Use when building chat assistants, document Q&A, RAG dashboards, or any in-app conversational UI in WPF. Also use when someone mentions "AIChatControl", "DevExpress.AIIntegration.Wpf.Chat", "AIExtensionsContainerDesktop", "RegisterChatClient", "IChatClient", "dxaichat:", "UseStreaming", "MarkdownConvert", "FileUploadEnabled", "PromptSuggestions", "MessageSending", "MessageSent", "SaveMessages / LoadMessages", "ChatClientServiceKey", or building a "RAG" / "chat with your data" feature. Requires .NET 8+ and the WebView2 runtime.

Devextreme Chat

by DevExpress

> Help developers use the DevExtreme Chat component (dxChat) in Angular, React, Vue, and jQuery. Use when someone asks about Chat configuration, rendering messages, managing users, typing indicators, alerts, message editing, Markdown support, suggestion buttons, AI service integration (OpenAI, Azure, Dialogflow), popup embedding, streaming responses, or any scenario involving dxChat or DxChat. "chat user", "chat bot", "typing indicator", "chat suggestions", "AI chat", "chat markdown", "chat editing", "chat popup", "onMessageEntered", "renderMessage", "typingUsers".