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Found 5,761 Skills
Use the published FinalRun CLI to install, configure, validate, run, troubleshoot, and inspect reports for repo-local mobile test workspaces. Trigger this skill for requests involving finalrun, check, test, suite, doctor, runs, start-server.
Discord server management CLI. Use when you need to manage Discord servers — channels, roles, permissions, messages, embeds, file uploads, emojis, invites, audit logs, server settings. Send images, bulk delete, search messages, clone channels, upload custom emojis, change server icons. One command = one API call. Run discli --help or discli <command> --help to discover subcommands.
Google Tasks integration. Manage data, records, and automate workflows. Use when the user wants to interact with Google Tasks data.
Budibase integration. Manage data, records, and automate workflows. Use when the user wants to interact with Budibase data.
Purple Dot integration. Manage data, records, and automate workflows. Use when the user wants to interact with Purple Dot data.
Evidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ECC. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.
Mailerlite integration. Manage Subscribers, Campaigns, Forms, Websites. Use when the user wants to interact with Mailerlite data.
Turn your AI into a full design team — 17 specialists that research, strategize, write, design, build, and review.
Otter Waiver integration. Manage data, records, and automate workflows. Use when the user wants to interact with Otter Waiver data.
Jibble integration. Manage data, records, and automate workflows. Use when the user wants to interact with Jibble data.
Operate Resend email campaigns, webhooks, Gmail reply sync, and Google Sheets tracking for the m26pipeline scripts/emails toolkit. Use when sending batch mail via send_campaign, syncing replies, running the email webhook server, UTM links, Resend API keys, sparse-clone setup, idempotency, or follow-up cohorts. Applies to any environment once scripts/emails is present or fetched from GitHub.
Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU training experiments", "pretrain from scratch", "speed up training", "lower my loss", "GPU optimization", "CUDA training", or mentions "train.py", "prepare.py", "bits per byte", "val_bpb", "NVIDIA GPU training", "RTX training", "H100 training", "autonomous model training", "consumer GPU training", "low VRAM training". Always use this skill when the user wants to autonomously optimize any ML training metric.