533 个 ・ 集成工具: Discord · 按人气排序
Verify two-way Discord messaging in a macOS virtual machine running in Parallels. Check installation and gateway health, confirm messages reach the host, and prove that the guest can read a new host reply.
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处理OpenClaw的GitHub Secret Scanning警报，检查凭据泄露位置，遮盖正文中的机密信息，删除并重建评论，通知作者并完成警报处理。
核对OpenClaw发布信息并编写Discord公告，按版本类型整理更新步骤和用户测试重点，也支持在确认目标、正文并获得批准后发布。
Verify OpenClaw installation, onboarding, gateway operation, and upgrades in Parallels virtual machines running macOS, Windows, or Linux. The skill guides baseline restoration, bounded test runs, log interpretation, and focused retries when checks fail.
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Search locally archived Discord messages and DMs, review conversations within a chosen period, and gather material for summaries. Check archive freshness and coverage to identify when synchronization is needed or information is missing.
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收集指定会话和时间范围内分享的OpenClaw拉取请求与议题，在GitHub核实状态和依据，按影响与处理准备程度排序，并说明未能调查的范围。
向连接Discord的OpenClaw代理或会话发送问题与消息，先确认接收目标，再根据请求选择私下询问、由会话决定是否发布，或明确要求的直接发布。
通过OpenClaw操作Discord消息，向指定频道发帖或回复现有讨论串，并在已启用的操作范围内编辑帖子、发送带选项按钮的消息。
使用Discord测试机器人核查连接信息和读取权限，并通过证据验证消息、文件、讨论串操作及OpenClaw响应，同时检查结果日志和测试对象的清理情况。
通过Discord桌面应用，以已登录的本人账号发布获批的公告等消息，先核对目标和正文并取得确认，再发送并检查消息是否只出现一次。
Schedule and publish social posts across multiple platforms through SocialClaw. Upload media, prepare campaign schedules, validate them before publishing, and check delivery status using connected accounts and a single workspace API key.
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Generate model responses in defined formats for data extraction and classification. Use JSON schemas, Pydantic data models, regular expressions, or fixed choices to produce structured results that other programs can parse and validate.
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Build question answering and document retrieval workflows with DSPy by defining inputs, outputs, and reusable components. Use training examples and evaluation metrics to automatically optimize prompts and compare results before and after optimization.
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Track machine learning experiments in W&B, record training settings and metrics, and compare results in dashboards. Automate searches for training settings and keep version histories for models and datasets.
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Expose a local development server or webhook receiver, which accepts notifications from external services, through Pinggy using SSH. Get a public sharing URL and add access controls without installing a separate tunneling program.
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Run machine learning training and predictions on cloud GPUs, then publish models as APIs that other applications can call. The skill guides Python-based setup, automatic scaling, persistent storage, parallel processing, and scheduled jobs.
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Create Python workflows for generating images from text, restyling existing pictures, and filling selected regions. Using HuggingFace Diffusers, the skill explains composition controls, style adapters, generation settings, and ways to reduce memory use.
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Build document search with Chroma, a database that stores text as numerical representations of meaning. Save and update documents, filter by metadata, and connect retrieval to AI applications using LangChain or LlamaIndex.
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Helps organize PyTorch model training with LightningModule and Trainer, including validation, logging, model saving, and early stopping. It also guides distributed training across multiple GPUs and settings for reduced-precision computation.
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Run ComfyUI workflows to generate images, video, audio, and 3D content. Prepare models and processing nodes, adjust generation settings, create batches of variations, monitor progress, and download results from a local server or Comfy Cloud.
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Set up and operate Hermes Agent across terminal, desktop, and messaging interfaces. This guide covers model configuration, themes, extensions, and coordination of independent agent instances, with references for task-specific settings and troubleshooting.
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Audit a developer product by trying its documentation and setup flow, measuring onboarding time, capturing errors, and reviewing command-line help. Produce an evidence-backed scorecard and compare results with earlier planning scores when available.
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Turns a stable Paperclip release changelog into a Discord announcement in dotta’s conversational style. It combines shipped highlights with plans grounded in current work and saves a draft for a person to copy and publish.
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Create an HTML presentation for a community-growth campaign across GitHub, Discord, and X. Organize growth loops, a content calendar, and pipeline calculations in a coordinated cream, coral, and near-black slide design.
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