Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
Agent workflows
Meta-skill for building and managing agent persona skill packs (instruction-only; no bundled installer or auto-downloaded binaries). Credentials are never written into generated packs by the framework; publish/ACN/register require explicit user CLI. Use when the user wants to create a new agent persona, install/manage existing personas, or publish persona skill packs to OpenPersona.
Use OpenViking from OpenClaw through @openviking/openclaw-plugin: long-term memory, session archives, resource and Agent Skill import, semantic recall, recall trace debugging, and externalized tool-result recovery. Prefer this skill when the user wants to use, query, debug, or operate OpenViking context from an OpenClaw agent. For first-time plugin installation, use the install-openviking-memory skill instead.
Use the public `orca` CLI to operate Orca-managed worktrees, folder contexts, terminals, repos, automations, worktree comments, and the browser embedded inside the Orca app. Use when the user says "$orca-cli", "use orca cli", "Orca worktree", "child worktree", "cardStatus", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "terminal send", "full handoff", "handover", "give this to another agent", "another worktree", "Orca browser", or "control the browser inside Orca". Prefer this over raw `git worktree`, ad hoc PTYs, Playwright, or Computer Use when the task touches Orca-managed state. Use Computer Use for browser windows, webviews, or desktop UI outside Orca's embedded browser.
Internal machine-result contract for headless agentic-workflow drivers. The executable source is @gtrabanco/agentic-workflow-schema: strict Envelope v2 for workflow-status, compact SkillOutcome v1 for driven work, compatibility parsing, and deterministic document snapshots. Not a menu entry.
Load when an agent needs to manage, install, update, remove, or validate OpenViking skills via the `ov skills` CLI. Trigger on explicit user requests about skill management, when the user mentions `ov skills`, `install skill`, `update skill`, `delete skill`, `validate skill`, or when an agent needs to discover what skills are available on the OpenViking server.
Pi packages — npm/git distribution of extensions, skills, prompts, themes via keywords pi-package and package.json pi manifest; pi install paths and security expectations. Use when shipping or consuming pi-package, adding pi.skills entries, or explaining install vs project-local -l. Use for "publish pi skills on npm", "pi install", "pi-package.json", even without naming this skill.
[Beta] Session-start scan that surfaces relevant learnings, recent errors, and eval status before work begins. Bridges the outer loop back into the inner loop by making accumulated knowledge visible at task start. Activated via SessionStart hook or manually before major tasks.
Requests or contribute a new sales/marketing/GTM skill that doesn't exist yet, or share learnings discovered during skill usage back to the community. Use when no existing skill covers the user's need — helps them build the skill and submit a PR, or file an issue requesting it. Also use when the user says 'there should be a skill for this', 'can we make a skill', 'I want to contribute a skill', 'none of the sales skills cover my use case', 'share my learnings', 'contribute learnings', 'share what I learned', or 'push learnings upstream'. Do NOT use for routing an objective to an existing skill (use /sales-do) or browsing the catalog of available skills (use /sales-third-party).
Use this skill whenever users mention “分身” or make any related request: create, view, edit, delete, evaluate, share, and manage Avatars; chat with your own or others’ Avatars; and handle regular Second Me user operations such as sign-in and registration, managing identity and appearance (Profile), materials (Note), and key memories (Key Memory).
Set up Ralph RLM in an existing OpenCode project by installing the package, running the opencode-ralph-rlm setup command, checking generated .opencode config, and verifying the provider/worker loop wiring. Use when a user asks to install, configure, initialize, troubleshoot setup for, or add opencode-ralph-rlm / Ralph RLM to a repository.
Route coding-agent skill work between the public and private source repositories. Use when an installed skill change vanished, when adding, editing, renaming, splitting, or removing a skill, or when authoring its behavior evaluation cases
Testing framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluations, comparing skill versions, or creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline. Triggers include "test skill", "evaluate skill", "skill regression", "ground truth", "GRP pipeline", "skill quality", and "skill metrics".
Maintain and author Editframe's skills-as-docs system. Covers file structure, frontmatter schemas, rendering conventions (html live demos, callouts, API metadata), the generation pipeline, and build/push workflow. Use when creating or editing skill files, reference documentation, frontmatter, html live blocks, API metadata, or working on the skills web renderer.
Send short status descriptions in chat for long-running tasks. Use when providing periodic updates during multi-step operations, confirming task completion, or notifying users of failures. Includes automated monitoring that sends updates every 5 seconds, status message templates, and a helper function for consistent status reporting.
Coordinate multi-agent development pipelines using shared JSON task files. Use when dispatching work across dev team agents (code-agent, test-agent, docs-agent, monitor-bot), tracking pipeline progress, or running sequential/parallel workflows. Covers project init, task assignment, status tracking, agent dispatch via sessions_send, and result collection. Supports two modes: linear (sequential pipeline) and dag (dependency graph with parallel execution).
Use when the user is stuck or going in circles: the same fix failed twice or more, 'nothing works', 'I've tried everything', or a consequential choice with no clear winner that is hard to undo or splits the team (which database, which architecture). Brings hacker, researcher, simplifier, architect, and contrarian perspectives and converges on one recommendation. Not for a first error or normal progress.
Orchestrates TypeScript SDK integration for Aptos dApps. Routes to granular skills for specific tasks (client setup, accounts, transactions, view functions, types, wallet adapter). Use this skill for fullstack dApp integration or when multiple SDK concerns are involved. Triggers on: 'typescript sdk', 'ts-sdk', 'aptos sdk', 'SDK setup', 'interact with contract', 'call aptos', 'aptos javascript', 'frontend integration', 'fullstack'.
Discover your actual workflow through conversation or observation, then generate a tailored skills bundle that encodes it as loadable agent skills with trigger conditions. Use when you want to understand your own process, formalize it, or share it with collaborators. Also use when a session feels aimless — this skill gives it structure. Do not use this skill for unrelated requests; route to the nearest named specialist.
Use for implementation when taking one tracker issue through the full implementation pipeline by claiming the issue, making scoped changes locally or remotely, verifying, using judgment about author QA, running ziw-pr, and handing off for independent review.
Use to orchestrate a specific ticket set, issue tracker filter, project, delivery scope, or Linear Backlog clear run by selecting startable issues, delegating workers, calling review and integrate steps, updating tracker state, and stopping when no safe workflow action remains.
Connect a Yandex KIT store to the current AI client, or reconnect it by replacing its token. Use for natural-language setup requests, including Russian text or voice transcripts such as «Связь с магазином», «Подключим магазин», «Переподключим магазин», «Переустановим связь с магазином» and «Поменяем токен». Treat short «Связь с магазином» as an orientation request.
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Design tools, scripts, and CLIs that an agent will call, so the interface teaches its own use instead of a wall of prose and examples. Use when building an MCP server or tool definition, writing an agent-facing script, or when an agent keeps misusing a tool it already has.
Run the AI Search Hub browser automation scripts for Yuanbao, LongCat, Doubao, Qwen, Gemini, Grok, and MiniMax. Use this skill when the user wants to ask one of those sites a prompt, auto-start or attach to a Chrome DevTools session on port 9222, seed an isolated debug browser profile from the user's local browser data, detect whether login is required, wait for the user to finish logging in if needed, and then continue automatically.
Manually recall durable knowledge from an ai-memory instance via the MCP (semantic/hybrid search, recent pages, prose catch-up). Use when the user asks to search the memory, 'have we done/decided X', 'what's the state of Y', or 'catch me up' — and you want an explicit recall rather than waiting for the auto-handoff.
CodeStable skill authoring and evolution protocol. Use when creating, refactoring, simplifying, or reviewing cs-* skills under plugins/codestable/skills or .claude/skills. Produces a thin harness, an explicit context plan, evidence gates, and an optional agent collaboration contract. Do not use for product implementation; use eval-cs-skill only for measured experiment loops.
Create new China-specific financial skills following the established patterns and conventions. Use this meta-skill to scaffold new china-* skills that integrate with iFind MCP (Tier-1) and AkShare MCP (Tier-2 fallback), follow CAS accounting standards, and adapt workflows for the Chinese market. Triggers on "创建中国skill", "新建A股skill", "create china skill", "new china-skill", "制作skill", or when creating any new china-* skill.
Build or refactor agent-facing CLI tools with non-interactive commands, stable --help and --json contracts, idempotent operations, and --dry-run previews. Use for CLI design, agent-friction refactors, output/exit-code debugging, or automation safety. Do not use for GUI/TUI design, conversational tools, MCP server design, or general API architecture; use api-design-and-evolution for the latter.
Orchestrates a full database audit — detects the stack(s), dispatches read-only auditor subagents in parallel by paradigm, merges and dedupes their findings, computes the two never-blended scores (Design & Integrity + Performance & Scale) via score.mjs, and renders the report. Invoked by the audit command; not usually called directly.
OpenClaw configuration optimization wizard. Follows a flow of "layer 0 test observation (optional) + first 3 rounds of optimization + round 4 onboarding and extension": baseline recommendation layer (including web search and permission mode), channel enhancement layer (Discord/Feishu/Telegram branch optimization), Skills recommendation layer (executable or skippable), new channel onboarding guidance (skippable). Used to help users quickly complete OpenClaw initialization or configuration optimization. Triggered when the user says "优化 openclaw", "配置向导", "openclaw 初始化", "体验太差想一键整理配置" and similar.
Deploy an agent built with the eve framework (eve.dev / Vercel) onto Zavu, or import it straight from GitHub with `npx zavudev import`. Use this skill when the user has an eve-layout project (agent/instructions.md, agent/tools/*.ts) and wants it answering on Zavu's messaging channels, or asks whether an eve capability works on Zavu.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Set up Claude Code hooks that intercept dangerous Git commands (push, reset --hard, clean, branch -D, etc.) before they run. Use when the user wants to prevent destructive Git operations, add Git safety hooks, or block git push/reset in Claude Code.
Grilling session that challenges a plan against the existing domain model, sharpens terminology, and updates documentation (LANGUAGE.md, MAP.md, decisions) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language, system map, and documented decisions.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
