598 skills ・ Works with: Telegram · sorted by popularity
Turn a GBrain page into a PDF for sharing or archiving. Remove frontmatter metadata, handle emoji, and add running headers and page numbers, while keeping the original brain page as the authoritative source.
Present clear choices when a task needs a human decision, then pause execution until the user replies. This reusable interaction pattern supports filing decisions, priority selection, and confirmation before destructive actions, with an option to decline.
Add Telegram bot support to NanoClaw through Chat SDK. The skill covers adapter installation, bot token setup, pairing a chat with a verification code, connecting groups through approval, and adding separately configured bots.
Set up the first NanoClaw agent on a configured messaging channel. The skill identifies the operator and DM destination, selects or creates an agent group, and sends a welcome message to verify delivery through the service.
Finish a NanoClaw v1-to-v2 migration after the migration script completes. The skill checks real message routing, assigns owner access, coordinates legacy memory migration, reviews container settings, and helps decide how to carry over customizations.
Investigate NanoClaw agent failures by tracing messages through logs and session databases. Check container startup, credential access, mounted folders, and service instances to locate where processing or delivery stops and choose a repair.
Chat with NanoClaw directly inside Emacs and send selected text or org-mode sections for help. Replies can appear under child headings in your notes, supporting code review, meeting summaries, research questions, and draft revisions through a local connection.
Adapt NanoClaw by adding messaging channels, connecting services, changing response instructions, or adjusting message routing. The skill clarifies the request, selects dedicated skills where available, applies changes, and explains how to verify them.
Move an existing OpenClaw setup to NanoClaw v2 through a guided conversation. Review identity, memory, credentials, groups, and scheduled tasks, then decide what to transfer and preview changes before applying them.
Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.
Build Telegram bots, Mini Apps that run inside Telegram, and custom clients using implementation examples. The guide covers message handling, interactive buttons, payments, authentication, storage, and receiving updates through webhooks or long polling.
Operate Screenpipe from the terminal to set up continuous recording, check capture health, and search local history. Manage Pipes, scheduled AI automations, and configure and test connections to external services.
Create and manage scheduled AI automations in screenpipe from the command line. Enable or disable jobs, test runs, inspect logs, and configure service connections such as Telegram and Slack, including connection status checks.
Use Screenpipe’s local REST API, an interface for programmatic requests, to search screen and meeting history, review app activity and active time, retrieve synced-device records, export recordings, and rerun audio transcription.
Search Screenpipe recordings, screen text, audio transcripts, and synced-device history through its local API. Use the evidence to review activity, find meeting details, and inspect saved workflows, including recorded steps that can inform automation.
Develop and migrate LangBot messaging adapters for Event-Based Agents, its event-driven architecture. Check conversion into shared event and message formats, implement platform APIs, and verify behavior through unit tests and real platform interactions.
Prepare video clips with yt-dlp, whisper, and ffmpeg, covering downloads, speech transcription, subtitle files, trimming, and vertical formatting. Also includes methods for adding generated speech and sending finished videos through messaging APIs.
Build holaOS apps for connecting external services or managing work through a dashboard. The skill uses shared SDK building blocks for stored records, actions, and synchronization, with the dashboard and agent tools working on the same data.
Set up Telegram alerts for a colony, a group of AI agents, so users can respond when work stalls. The skill creates or reuses a bot, stores its token, connects the destination chat, and tests notifications.
Get help understanding and configuring Octop, a self-hosted AI assistant. The skill explains features, points to relevant documentation, and supports model switching, messaging connections, skill management, scheduled tasks, backups, and upgrades.
Investigate organizations, domains, media locations, and cryptocurrency flows using open-source intelligence, or OSINT. The skill helps select relevant research tools, connect findings across sources, and preserve evidence with timestamps, screenshots, file hashes, and reproducible logs.
Set up NemoClaw, create an isolated sandbox for OpenClaw, and start the first agent conversation in a browser or terminal. Follow onboarding for model connections, optional search and messaging, and network policy settings.
List OKX Agentic Wallet exclusive trading competitions, register users for contests, track participation and leaderboard rankings, and claim won rewards. Use when users want to list available trading competitions or trading cups, view competition rules / prize pool / total prizes, register or sign up or enroll or join a contest, check the leaderboard (who is winning) or their own rank (am I in the prize zone, what is my place), ask did I win or query participation / claim status, claim won rewards or prizes from completed competitions, see which wallet account they registered with, or submit Telegram / WeChat / Email / Twitter contact for prize delivery to top-tier winners.
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Use this skill when the user wants to launch a new AltClaw, OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw. Covers the same user-facing fields and constraints exposed in the Cloud Claw UI, using the local altllm cloud-claw-* commands. Do NOT use for post-launch lifecycle tasks like start/stop/delete/logs; use cloud-claw-manage-vm.
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