Total 54,705 skills, AI & Machine Learning has 9090 skills
Showing 12 of 9090 skills
Canonical ticket lifecycle engine for multi-agent orchestration. Two backends: (1) filesystem YAML bundles for project-level work management (roadmap → bundle → tickets → review), (2) DB-backed durable tickets for session-level claim/block/close lifecycle. This skill is the single source of truth for all ticket operations.
This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.
LeetCode-style PyTorch interview practice environment with auto-grading for implementing softmax, attention, GPT-2 and more from scratch.
x402-gated agent inbox — send paid messages to any agent's inbox, read received messages, and check inbox status. Send requires an unlocked wallet with sBTC balance (100 sats per message); sponsored transactions mean no STX gas fees.
Patterns for parallel subagent execution using Task tool with run_in_background. Use when coordinating multiple independent tasks, spawning dynamic subagents, or implementing features that can be parallelized.
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
Build and deploy autonomous AI agents in-process using Open Agent SDK, an open-source alternative to @anthropic-ai/claude-agent-sdk that works anywhere without CLI dependencies.
Intelligent long text novel reader with smart content filtering and detailed asset extraction. Invoke when user wants to read or analyze long novels. Automatically skips irrelevant content and extracts detailed character/item/scene information.
Northeast Yujie Buddy Pet. TUI-style virtual pet interaction, responds in Northeastern Chinese dialect. Trigger methods: /yujie, "雨姐", "东北雨姐" Dongbei Yujie virtual buddy pet with TUI display and interactive commands. Trigger: /yujie, "雨姐", "东北雨姐"
OpenClaw Task Protocol Worker skill. Access the OpenClaw distributed task network, automatically poll for available tasks, claim, execute and submit results. Trigger keywords:「claim task」「view task」「access task network」「openclaw task」「task protocol」「be a lobster」「do task」 When to use: (1) Agent needs to access the OpenClaw task network to claim and complete tasks, (2) User requests to view/claim/submit tasks, (3) User wants to create tasks as a publisher for other lobsters to complete, (4) Any operations involving the OpenClaw distributed content publishing protocol.
Use when working with AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vector retrieval flows.
A skill that uses GLM-V native grounding capabilities for coordinate conversion, bounding-box visualization, and more. GLM-V native grounding can locate any target specified by the prompt in an image and output relative coordinates normalized to 0-1000 based on image size. Coordinate formats include 2D bounding box (default), 2D points, and 3D bounding box. GLM-V also supports spatiotemporal localization and tracking of multiple prompt-specified targets in videos, outputting 2D bounding boxes per second.