Skills for “assistant agent”
57 skills match · 983 ms · understood as by meaning
Also searched as: automation, autonomous
…MLflow — tracing, evaluating, debugging, or improving an agent. Routes to the right MLflow sub-skill automatically. Triggers on: "use mlflow", "help with mlflow", "mlflow agent", "add mlflow to my project", "trace my…
Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: "add memory", "remember across sessions",…
Use this skill to upgrade Einstein Bots into Agentforce agents end-to-end in a single pass, orchestrating per-bot Agent Spec generation, agentforce-generate authoring, and post-conversion .agent enhancements. TRIGGER…
Build, modify, audit, repair, optimize, debug, and deploy agents with Agentforce Agent Script. TRIGGER when: user creates, reviews, or changes .agent files or aiAuthoringBundle metadata; asks to fix AgentScript, audit…
No description in the SKILL.md.
Carries a coding agent's context across sessions with two files. MEMORY.md holds durable project lessons (verified commands, conventions, decisions, gotchas, user preferences); it is loaded at the start of work and…
View spending policy on a Circle agent wallet — per-transaction, daily, weekly, and monthly USDC caps via the `circle` CLI. Use when the user wants to inspect current limits. Setting or resetting limits requires OTP…
Fund a Circle agent wallet with USDC via the `circle` CLI. Payments are gas-abstracted: users pay with USDC only, no ETH required. Covers two top-level paths — fiat on-ramp (buy USDC with USD/credit card) and crypto…
…skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish…
…when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini…
Discover, author, deploy, and run AIDP agent flows. Use when the user wants to list/inspect agent flows, or create/update/deploy/run a flow, manage sessions/guardrails, attach compute, or attach a remote MCP server to a…
Connect a local AI agent (Claude Code, Cursor, or any MCP client) directly to a Voxel51 deployment over MCP, authenticating as yourself with your own account permissions. Use when a user wants to link their coding agent…
…creating, auditing, optimizing, or maintaining repository agent instructions - AGENTS.md, CLAUDE.md, .claude/rules/, and instruction-related SKILL.md content - covering context architecture, always-loaded context…
Reference skill for Zoom Virtual Agent. Use after routing to a virtual-agent workflow when implementing web embeds, Android or iOS wrapper integrations, knowledge-base sync, lifecycle handling, or troubleshooting.
…an API, endpoint, service, model, dataset, tool, or agent-facing resource with Circle USDC pay-per-call payments, Gateway Nanopayments, x402, HTTP 402, or Agent Marketplace listing. Triggers on: charge agents,…
Run AI agent tasks remotely on Netlify using Claude, Codex, or Gemini. Use when the user wants to run an AI agent on their site, get a second opinion from another model, or delegate development tasks to run remotely…
…the user wants to design, build, code, or deploy an AI agent on DataRobot; mentions agent_spec.yaml, dress rehearsal, the DataRobot agent template, LangGraph, CrewAI, LlamaIndex, NAT, Base agents, MCP servers,…
Use Exa Agent for multi-step web research, list-building, enrichment, structured output, run continuation, and coverage validation. Exa Agent can access additional data providers: fiber, financial_datasets, similarweb,…
Add Redis Iris Agent Playbooks to an existing agent. Use when approved answers or repeatable procedures live in prompts, document retrieval, or a semantic response cache. Connect or provision a Playbook, publish FAQs…
Use the Agent class for multi-step tool loops, conversation history, streaming progress, and reusable LLM agents. Use when building agents with skills, structured output, stateful conversations, or streaming callbacks.