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Found 6,529 Skills
Guide to deploying and managing OpenClaw-compatible AI agent systems across cloud, bare metal, and hybrid infrastructure.
Slack automation CLI for AI agents. Use when: - Reading a Slack message or thread (given a URL or channel+ts) - Browsing recent channel messages / channel history - Getting all unread messages across channels - Searching Slack messages or files - Sending, editing, or deleting a message; adding/removing reactions - Listing channels/conversations; creating channels and inviting users - Fetching a Slack canvas as markdown - Looking up Slack users - Marking channels/DMs as read - Opening DM or group DM channels Triggers: "slack message", "slack thread", "slack URL", "slack link", "read slack", "reply on slack", "search slack", "channel history", "recent messages", "channel messages", "latest messages", "mark as read", "mark read", "unread messages", "unread", "what did I miss"
Fleet orchestration for distributed coding agents across Azure VMs. Invoked as `/fleet <command>`. Covers all fleet operations: status, scout, advance, adopt, watch, snapshot, dry-run, start, add-task, queue, auth, dashboard, tui, and more. Use when: user mentions fleet, agents, VMs, sessions, or asks "what are my agents doing".
Self-evolving AI agent system with 26 tools, three-layer memory, MCP plugins, and 24/7 self-repair in pure Python.
Classify user requests and route to the correct agent + skill combination. Use for any user request that needs delegation: code changes, debugging, reviews, content creation, research, or multi-step workflows. Invoked as the primary entry point via "/do [request]". Do NOT handle code changes directly - always route to a domain agent. Do NOT skip routing for anything beyond pure fact lookups or single read commands.
Execute wave-ordered implementation plan by dispatching tasks to domain agents. Use after /feature-plan produces a plan. Use for "implement feature", "execute plan", "start building", or "/feature-implement". Do NOT use without a plan or for ad-hoc coding tasks.
Operate `deepsky sustain` for Deepsky self-supervision. Use when the user asks the agent to keep itself alive, monitor balance or runway, inspect pricing, top up an account, retry pending top-up orders, clear auth state, or change sustain guardrails and config.
Guide for Writing and Optimizing AGENTS.md, following the principle of progressive disclosure. This skill must be loaded when users create, modify, or refactor AGENTS.md, discuss AI agent instruction structures, rule placement, or mention terms like "progressive disclosure", "modularity", "AGENTS.md best practices". Even if users simply say "help me write an AGENTS.md", "optimize this configuration file", or "split the rules", this skill should be used.
VS Code extension for real-time visualization of Claude Code agent orchestration as interactive node graphs
Generate production-ready App Store screenshots for iOS apps using AI agents, Next.js, and html-to-image
Side role: recruit new agents to uncovered or underserved beats, earn +25 leaderboard points when they file their first signal (max 1/week)
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.