Total 50,543 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
Always use this skill to search the web, research any topic, scrape information, find the latest data, or compare options. Delivers high-quality multi-source research with anti-bot resilience, browser scraping, parallel discovery, deep synthesis, and files with outputs.
Prepare a research artifact package for conference artifact evaluation, reproducibility review, badges, supplementary material, or post-acceptance artifact release. Use this skill whenever the user needs install instructions, reviewer-facing reproduction commands, Docker or environment checks, data/checkpoint packaging, hardware/runtime estimates, anonymized or public artifact metadata, artifact evaluation forms, or a claim-to-artifact reproducibility audit for ML/AI venues.
Submit or run an ML experiment on a compute environment (local, SLURM HPC, RunAI/Kubernetes). Use when the user wants to launch a training run, submit a job, run ablations, or execute an experiment script on any compute cluster.
Audit a skill repository or installed skill collection for global consistency, lifecycle coverage, routing quality, documentation drift, memory writeback coverage, stale future-skill references, broken helper paths, and validation readiness. Use this skill whenever the user asks for a global consistency audit, skill taxonomy review, lifecycle audit, cross-skill routing audit, README or AGENTS inventory consistency check, or maintenance pass over a collection of agent skills.
Design hypothesis-driven ML/AI experiments before running them. Use this skill whenever the user wants to plan experiments, ablations, baselines, metrics, controls, seeds, logging, stop conditions, reviewer-proof evidence, or an experiment matrix for a paper claim before using run-experiment or writing results.
Multi-Agent Swarm Parallel Collaboration, pure Git self-organization, suitable for large-scale project development. Use this when users mention "swarm mode", "multi-agent", "parallel development", "agent swarm".
Decompose requirements into structured task lists and build a task management system for long-running Agents (based on the Anthropic Effective harnesses methodology). Automatically trigger when users need to manage multi-session development tasks, track feature completion progress, or request "task decomposition", "task management", or "project planning".
Use when the user wants to pair PocketClaw, install or upgrade ClawPilot, verify host runtime readiness, and generate a pairing code for OpenClaw, Hermes, or cc-connect Coding Agent hosts. Follow a strict pairing workflow and output the final pairing code on its own line when successful.
[Hyper] Use when the user explicitly wants Anthropic Claude Code CLI (`claude`) for an isolated session, non-interactive (`-p`) run, session resume by ID or name, or a CI-friendly `--bare` invocation. Trigger phrases: "use claude code", "ask claude", "run claude", "continue the last claude session", "resume the auth-refactor claude session", or "use Anthropic's CLI to inspect or fix this repo".
Initialize federation on this node — generate keypair and configure peers
Generate character voices using TTS, voice cloning, and lip-sync tools. Supports Chatterbox, F5-TTS, TTS Audio Suite, RVC, and ElevenLabs. Use when creating speech audio for characters or syncing audio to video.
Use to talk to the Discord-backed OpenClaw agent/session; not for archive search.