Email, calendars, task management, and automation (7.8K skills)
Turn project files, a URL, pasted notes, or work completed in a conversation into a reusable NanoClaw skill. Creates a SKILL.md with practical steps and pitfalls, or updates an existing skill with new findings while preserving valid guidance.
Connect NanoClaw directly to WhatsApp using the Baileys adapter and phone-based QR or pairing-code authentication. Supports conversations, file exchange, reactions, and approval commands, with different setup and response behavior for dedicated and personal numbers.
Connect NanoClaw agents to Cisco Webex through Chat SDK. Add the channel adapter, configure bot credentials and message delivery, and link team spaces or direct messages to agent groups, with support for threaded conversations.
Add another phone number to an existing Dial setup so one NanoClaw installation can handle SMS and AI voice calls on multiple lines. Assign an agent group and access policy to each number, with replies using the receiving line.
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.
Connect messaging channels to agent groups and choose whether they share conversations, workspace, or neither. Use it to add chats, change routing, review existing connections, and configure when agents respond.
Connect NanoClaw agents to DeltaChat for email-based messaging with end-to-end encryption. Set up direct chats or small group conversations, exchange file attachments, and link each chat to the appropriate agent group.
Connect NanoClaw to a self-hosted or cloud Mattermost server for direct messages, channel conversations, threads, files, reactions, and approval cards. Guides server selection, bot authentication, callback configuration, and connection checks.
Connect NanoClaw to Linear so an agent can respond to issue comments without mentions. The skill installs and checks the integration, guides authentication setup, and keeps each issue thread in its own conversation.
Operate native apps on macOS, Windows, and Linux using identified controls, menu paths, or screen coordinates. Target a specific window, verify the result after each action, and consult available recent activity when resuming work.
Save agent memory and outputs in Cua Volume, shared storage that persists beyond a Space, the working environment. Hand files to the user, read shared references, and check synchronization, version history, and conflicting edits.
Helps agents find and use OpenCLI commands for websites and Chrome. It guides command discovery, input checks, result interpretation, and error recovery so agents can select suitable browser tools or reusable website commands.
Uses OpenCLI to inspect and interact with Chrome pages, including logged-in websites. Agents can fill forms, extract page data, inspect captured network requests, take screenshots, and manage Chrome tabs, groups, and windows.
Summarize articles, local files, YouTube videos, and podcasts to review their main points. Adjust the summary length, or extract available text and transcripts from URLs when you need the source content.
Automate website navigation, form entry, button clicks, and data extraction using the agent-browser command-line tool. Capture screenshots or PDFs, reuse login sessions, and inspect page elements while checking web application behavior.
Understand how agentmemory automatically records tool activity, prompts, and session boundaries through hooks, actions triggered by session events. Use it to check integration setup, investigate missing records, and distinguish capture from optional summaries and context injection.
Turns user corrections and recurring mistakes into actionable rules with confidence scores. It records when each rule applies and why it matters, so relevant lessons can be retrieved before similar work begins.
Shows recent work sessions for the current project as a timeline, newest first. It includes session identifiers, start times, status, recorded observation counts, and available highlights or decisions, using only history returned by the memory tool.
Summarize recent agent sessions for the current project, grouped by date with highlights from recorded observations. Review today, the last seven days, or a chosen number of sessions, with totals for sessions, days, and observations.
Resume work using the latest recorded session matching the current project directory. The skill surfaces unanswered questions first, summarizes relevant decisions and files, and provides a concrete next step while checking that records belong to the selected project.
Guide an agent through searching past decisions before work, saving new decisions with their reasons, and treating corrections as lessons. The workflow helps distinguish useful long-term knowledge from temporary details, code facts, and routine activity already captured by hooks.
Retrieve past work, decisions, and lessons from agentmemory using keyword, meaning, and relationship searches. It expands selected records, groups findings by session, and prioritizes important observations so earlier context can inform the current task.
Find and delete selected memories stored in agentmemory after showing the matches and receiving explicit confirmation. It checks deletion results and distinguishes stored memories from lessons, observations, and complete session records.
Save facts, decisions, and discoveries to agentmemory for future sessions. The skill preserves the user's wording, adds specific search tags and referenced file paths, and confirms which terms can retrieve the saved knowledge.