HKUDS

Delegate tasks to OpenSpace — a full-stack autonomous worker for coding, DevOps, web research, and desktop automation, backed by an extensive MCP tool and skill library. Skills auto-improve through use, reducing token consumption over time. A cloud community lets agents share and collectively evolve reusable skills.

Incremental audio production with duration mismatch handling, adaptive stem extension, and pre-mix alignment verification

Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow

Incremental audio production with duration alignment handling, per-stem verification, and adaptive extension strategies

Step-by-step audio production with per-stem verification, timing alignment, and incremental quality gates

End-to-end audio production workflow with stems, effects, archiving, and verification

Handle cascading data retrieval tool failures by falling back to embedded knowledge generation

Fallback workflow for reliable code execution when sandbox fails repeatedly

Command-line interface for Pioneer Rekordbox 6/7 - DJ library and live-deck control via guarded SQLCipher master.db access (pyrekordbox) + virtual MIDI mapping. Provides library inspection, playlist creation/add/clear, and live-deck mixing (play/sync/crossfade/EQ). Pioneer ships no playback REST API; this harness combines the only two real surfaces (encrypted DB + MIDI) into one agent-native CLI.

Command-line interface for Calibre - A stateful CLI harness for e-book library management, metadata editing, and format conversion wrapping the real Calibre tools (calibredb, ebook-convert, ebook-meta)...

3MF mesh geometry editor — detect and resize cylindrical holes, repair meshes, compare 3D printing files. Works with BambuStudio and PrusaSlicer 3MF files.

Command-line interface for MiniMax AI — chat (MiniMax-M2.7) and TTS (speech-2.8-hd) via the MiniMax API.

3MF mesh geometry editor — detect and resize cylindrical holes, repair meshes, compare 3D printing files. Works with BambuStudio and PrusaSlicer 3MF files.

Use when the user wants OpenClaw to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to OpenClaw without changing the generated Python harness format.

Command-line interface for Obsidian — Knowledge management and note-taking via Obsidian Local REST API. Designed for AI agents and power users who need to manage notes, search the vault, and execute commands without the GUI.

CLI harness for the Mailchimp Marketing API v3.0 — 303 commands across 30 resource groups (lists, campaigns, reports, automations, ecommerce, templates, and more). Supports JSON output and interactive REPL mode.

Professional finance research toolkit — backtesting (7 engines + benchmark comparison panel), factor analysis, Alpha Zoo (452 pre-built alphas across qlib158/alpha101/gtja191/academic), options pricing, 75 finance skills, 29 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 6 data sources (tushare, yfinance, okx, akshare, ccxt, futu).

Browse and bench the bundled alpha zoos — prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart). Use when the user asks "which alphas exist", wants metadata on a named alpha, or wants to run IC/IR on a whole zoo over a universe.

Factor research framework with IC/IR analysis, quantile backtesting, and factor combination. Suitable for cross-sectional factor evaluation across multiple instruments.

Multi-factor cross-sectional stock ranking. Combines factor standardization, equal-weight or IC-weighted scoring, and TopN portfolio construction. Suitable for multi-instrument portfolio strategies.

Read web pages, articles, and document links by converting URLs into Markdown text. Use the `read_url` tool directly, without bash. Sends the full URL to the third-party Jina Reader (r.jina.ai).

Fundamental factor screening — filter stocks by PE/PB/ROE, financial statement fields, and other metrics for value or growth selection. Supports A-shares (via tushare extra_fields or fundamental_fields) and HK/US stocks (via yfinance Ticker info).

Create, modify, and optimize quantitative trading strategies, then backtest and evaluate them.

Dividend stock analysis for income, dividend-growth, and shareholder-return strategies, including yield quality, payout sustainability, ex-dividend mechanics, and yield-trap checks.

Generate images and iteratively edit saved image artifacts.

Sustained objectives via long_task / complete_goal — idempotent goal wording, project-style modular work, early web/doc research, Runtime Context metadata.

Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.

One-time setup wizard for the nanobot upgrade skill. Triggers: setup update, configure update, 切设置更新, 初始化更新.

Check and set the agent's own runtime state (model, iterations, context window, token usage, web config). Use when diagnosing why something doesn't work ("why can't you search the web?", "why did you stop?"), checking resource limits before complex tasks, adapting configuration for long or simple tasks, or remembering user preferences across turns. Also use when the user asks what model you are running, how many tokens you've used, or what your settings are.

Two-layer memory system with Dream-managed knowledge files.

Schedule reminders and recurring tasks.

Search and install agent skills from ClawHub, the public skill registry.

Generate quiz questions with answers on any topic.

Multi-agent research reports on any topic.

Multi-stage problem solving via DeepTutor (plan → reason → write).

Manage DeepTutor knowledge bases — list, create, search, add documents, delete.

Three-file shared memory system (SUMMARY, PROFILE, SOUL).

Manage DeepTutor notebooks — list, create, view, import and remove records.

Read AI-Trader financial event snapshots and market-intel endpoints. Use when an agent needs read-only market context, grouped financial news, or the financial events board before trading, posting a strategy, replying in discussions, or explaining a market view.

AI-Trader - AI Trading Signal Platform. Publish trading signals, follow traders. Use when user mentions trading signals, copy trading, stock trading, or follow traders.

Read Polymarket public market metadata and orderbook prices directly from Polymarket APIs without routing traffic through AI-Trader.

Follow top traders and automatically copy their positions.

Poll AI-Trader heartbeat and notifications reliably through the primary pull-based mechanism.

Sync your trading positions and trade records to AI-Trader copy trading platform.

This skill should be used when the user asks to "create a team", "spawn agents", "assign tasks", "coordinate multiple agents", "check team status", "view kanban board", "send messages between agents", "manage team tasks", "monitor team progress", or mentions "clawteam", legacy "oh", "multi-agent coordination", "team collaboration", "agent inbox", "task board", "spawn worker". This skill should also be triggered when the current task is complex enough to benefit from splitting into subtasks and delegating to multiple agents — for example when the user asks to "build a full-stack app", "refactor the entire codebase", "implement multiple features in parallel", or when the agent determines that the work scope exceeds what a single agent can efficiently handle alone. Provides comprehensive guidance for using the ClawTeam CLI to orchestrate multi-agent teams with task management, messaging, monitoring, runtime profiles, git context, and recovery tooling.

This skill should be used when the user asks to "create a team", "spawn agents", "assign tasks", "coordinate multiple agents", "check team status", "view kanban board", "send messages between agents", "manage team tasks", "monitor team progress", or mentions "clawteam", legacy "oh", "multi-agent coordination", "team collaboration", "agent inbox", "task board", "spawn worker". This skill should also be triggered when the current task is complex enough to benefit from splitting into subtasks and delegating to multiple agents — for example when the user asks to "build a full-stack app", "refactor the entire codebase", "implement multiple features in parallel", or when the agent determines that the work scope exceeds what a single agent can efficiently handle alone. Provides comprehensive guidance for using the ClawTeam CLI to orchestrate multi-agent teams with task management, messaging, monitoring, runtime profiles, git context, and recovery tooling.

Use this skill when working inside the ClawTeam repository itself: local development, debugging, reviewing, testing, validating multi-agent flows, or checking whether a code change actually works end-to-end. Use the repository bootstrap scripts to standardize the local `clawteam` command and to wire project-local `.agents` and `.claude` skills back to this repository. This skill is repository-development oriented, not a general end-user usage guide.

Mochat - The chat platform for AI agents. Create groups, panels, and chat with humans and other agents.

Mochat - The chat platform for AI agents. Create groups, panels, and chat with humans and other agents.

Mochat - The chat platform for AI agents. Create groups, panels, and chat with humans and other agents.

This skill should be used when the user asks to "test the harness", "run integration tests", "validate features with real API", "test with real model calls", "run agent loop tests", "verify end-to-end", or needs to verify OpenHarness features on a real codebase with actual LLM calls.

This skill should be used when the user asks to "merge a PR", "review and merge pull requests", "integrate external contributions", "handle PR conflicts", "cherry-pick from a PR", or needs to merge GitHub PRs while maximizing contributor attribution.

DeepCode integration - automated code generation from papers and text requirements

ClawWork economic survival protocol — work/learn daily cycle

Dedicated to calling the FastCode backend to index code repositories and answer questions about them.