Total 56,723 skills, AI & Machine Learning has 9434 skills
Showing 12 of 9434 skills
Create and manage Alibaba Cloud IMS video translation jobs via OpenAPI (subtitle/voice/face). Use when you need API-based video translation, status polling, and job management.
Request judgment from random humans when uncertain about subjective decisions. Crowdsourced opinions on tone, style, ethics, and reality checks. CRITICAL - Responses take minutes to hours (or may never arrive).
This skill guides creating autonomous agents for Claude Code plugins using markdown files with YAML frontmatter. Use when building new agents, designing agent system prompts, or configuring agent behavior.
Use after completing work sessions to analyze agent behavior patterns, prepare session handoffs for continuity, document completed work, identify blockers, or preserve context for the next session.
Create outbound phone calls, web calls, and batch calls using the Vapi API. Use when making automated calls, testing voice assistants, scheduling call campaigns, or initiating conversations programmatically.
Add or change allowed commands in AI agent permission configs (OpenCode, Claude Code)
Unified Exa research skill using get_code_context_exa and web_search_advanced_exa. Use for code/API snippet lookup, company research, people/LinkedIn research, financial report search, research paper search, personal site search, and X/Twitter tweet search. Follow progressive disclosure: load only the relevant reference file(s) for the user intent.
Call codex to perform a task.
A skill that creates 'conversation flow' nodes for vox.ai voice agents. It converts call-center/OB/CS scripts (free text) into a flow-node format with `name + content + transition conditions`. Use this skill whenever users ask to transform call scripts, consultation scenarios, OB scripts, CS manuals, call flows, consultation flows, or conversation-flow nodes into step-based prompts/nodes/flows. It is also triggered by requests such as 'split this script into steps,' 'turn this into flow nodes,' or 'organize this with transition conditions.'
Perform image understanding and analysis using GLM Vision MCP. Trigger conditions: (1) Users request image analysis, image understanding, or description of image content (2) Need to identify objects, text, or scenes in images (3) Use GLM's visual understanding capabilities
Mapping guidance for Retell AI voice agent events. Covers call metrics, agent performance, disconnect reasons, and conversation analytics.
Fetch, organize, and analyze LangSmith traces for debugging and evaluation. Use when you need to: query traces/runs by project, metadata, status, or time window; download traces to JSON; organize outcomes into passed/failed/error buckets; analyze token/message/tool-call patterns; compare passed vs failed behavior; or investigate benchmark and production failures.