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Found 2,167 Skills
Build, scaffold, extend, deploy, and troubleshoot event-driven AI agents and scheduled serverless agent apps on Azure Functions using azurefunctions-agents-runtime. Use when the user wants a scheduled agent, morning briefing, daily digest, timer agent, inbox summary, email or Teams briefing, background AI workflow, connector-triggered agent, event-driven AI automation, HTTP/chat agent, webhook-style agent, or Azure Functions hosted agent. Covers .agent.md, agents.config.yaml, Foundry gpt-4.1/gpt-5.x model choice, dynamic sessions for code execution and web browsing, built-in chat/API/MCP endpoints, remote MCP servers, Connector Namespaces, Office 365 or Teams MCP tools/triggers, custom Python tools, Agent Skills, azd deployment, local.settings.json, Application Insights, local development, and troubleshooting.
Run a two-agent code review: spawn two fresh, clean-context agents that examine the SAME committed branch diff in parallel. One agent runs Codex's native `codex review --base` command, while the other independently reviews the code against Google's "What to look for in a code review" guidance. Merge both outputs into one agreement-ranked report. Use this whenever the user asks for "review-all", a second-opinion review, a dual review, a cross-check before a PR, or a maximum-confidence review of committed branch changes. Do not use it to APPLY fixes; it is review-only.
Use when starting a new app or repo, or making an existing repo agent-ready (say "new app", "new repo", "create a project", "bootstrap this repo"). Sets up git, AGENTS.md + CLAUDE.md, .gitignore, and a per-repo Obsidian knowledge vault, offers the pinned default stack, accounts for deployment (preview + prod), then optionally pressure-tests scope (make-money) and locks in the domain language (grill-with-docs).
Deploy, configure, and integrate Sandbox Agent - a universal API for orchestrating AI coding agents (Claude Code, Codex, OpenCode, Amp) in sandboxed environments. Use when setting up sandbox-agent server locally or in cloud sandboxes (E2B, Daytona, Docker), creating and managing agent sessions via SDK or API, streaming agent events and handling human-in-the-loop interactions, building chat UIs for coding agents, or understanding the universal schema for agent responses.
Automated WeChat mini-program security auditing framework using Claude Code Agent Teams with 7 specialized agents for comprehensive static analysis
Dispatch background AI worker agents to execute tasks via checklist-based plans.
Points agents to the public Phalcon Compliance documentation portal for compliance-oriented blockchain investigation and monitoring workflows. Use when the user asks about Phalcon Compliance docs, transaction-monitoring-style tooling references, or where to read product documentation alongside crypto-investigation-compliance—not for legal advice or unsubstantiated vendor claims.
Installs, configures, and troubleshoots Network Flow Monitor agents on EC2 instances to monitor network path health. Covers agent installation, IAM permissions, monitoring network paths, and troubleshooting agents reporting no metrics, HTTP 403 errors, or connectivity failures.
阿里云百炼托管 Agent 声明式基础设施入口：用户要创建agent、初始化 agents.yaml、校验或预览 agent 配置变更、 创建/更新/销毁百炼托管 Agent、和托管 agent 对话、查会话事件历史、导入或取消跟踪远端资源时使用 `bl managed-agent`。以 agents.yaml 为唯一事实源做 IaC：init 建脚手架、validate 离线校验、plan 预览 diff、 apply / destroy 变更远端资源且必须带 `--yes`，务必先 plan 给用户看 diff 再让其确认。 反触发：调用已上线的百炼应用/智能体走 bailian-app-call 或 `bl app`；宿主 agent 自身的记忆、技能、 子代理不走本 skill；生图生视频走 bailian-gen。 官方安装：`npx skills add modelstudioai/cli --all -g`（与共享协议 bailian-protocol 同装）。
Tavily AI search API - Optimized search for AI agents. Use when searching the web for current information, news, facts, or any task requiring real-time data.
Use this skill when orchestrating multi-agent work at scale - research swarms, parallel feature builds, wave-based dispatch, build-review-fix pipelines, or any task requiring 3+ agents. Activates on mentions of swarm, parallel agents, multi-agent, orchestrate, fan-out, wave dispatch, research army, unleash, dispatch agents, or parallel work.
Browser automation CLI for AI agents. Use for website interaction, form automation, screenshots, scraping, and web app verification. Prefer snapshot refs (@e1, @e2) for deterministic actions.