ADK-Rust Agent Skill Registry

Featured skill

Developer workflows

Observability & Monitoring

Full-stack observability for AI agents — debug errors from logs, trace latency across services, manage alerts, respond to incidents with runbooks, and protect SLO error budgets via Datadog, Grafana, or New Relic.

requires mcp-observability28 tools

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How this skill guides an agent

Request

"error", "exception", "500", "failing"?

Skill

The agent follows the decision guide and operating rules.

Tools

mcp-observability · 28 allowed tool references

Result

Logs → traces → root cause

28: Allowed tools
6: Workflows
3: Reference guides
Apache-2.0: License

The registry

Browse every published skill.

Compare the job, required MCP server, allowed tools, workflows, and supporting material.

Agent infrastructure

A2A Agent Orchestration

Multi-agent coordination — discover capabilities, dispatch tasks, stream results, and manage remote agent lifecycles via the A2A protocol.

Required capability

mcp-a2a

10: tools
4: workflows
4: guides + scripts

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Agent infrastructure

ACP Workspace Management

Coding agent workspace control — start sessions, delegate tasks to coding agents, review proposed patches, manage permissions, and publish agents with governance gates.

Required capability

mcp-acp-workspace

9: tools
4: workflows
4: guides + scripts

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Business operations

Agriculture Management

Farm operations for AI agents — field management, crop planning, weather intelligence, satellite monitoring (NDVI), commodity markets, IoT sensors, yield estimation, and pest/disease detection.

Required capability

mcp-agriculture

34: tools
6: workflows
4: guides + scripts

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Communication & knowledge

Analytics & Reporting Skill (Revenue Intelligence)

Revenue intelligence for AI agents — metrics, funnels, anomaly detection, forecasting, and dashboards. Don't just pull numbers — find the story, explain why, and recommend action.

Required capability

mcp-analytics

22: tools
0: workflows
4: guides + scripts

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Agent infrastructure

Artifact Lifecycle

Governed artifact management — versioned storage, provenance tracking, integrity verification, derivation chains, and export packaging for build outputs and documents.

Required capability

mcp-artifact-store

10: tools
4: workflows
4: guides + scripts

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Business operations

Banking Operations

Real-time banking intelligence for AI agents — account monitoring, transaction analysis, anomaly detection, and payment initiation across Plaid (US/EU), Mono (Africa), and Open Banking (UK/EU).

Required capability

mcp-banking

15: tools
0: workflows
4: guides + scripts

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Developer workflows

Browser Automation

Web operations for AI agents — read pages, extract data, take screenshots, interact with forms, and scrape structured content via headless Chromium.

Required capability

mcp-browser

17: tools
5: workflows
4: guides + scripts

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Communication & knowledge

Calendar & Scheduling

Smart scheduling for AI agents — find free time across timezones, book meetings, manage events, and coordinate calendars via Google Calendar and Microsoft Graph.

Required capability

mcp-calendar

10: tools
4: workflows
4: guides + scripts

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Developer workflows

CI/CD Pipeline Management

Pipeline operations for AI agents — monitor builds, debug failures from logs, trigger safe deployments, and manage release gates via mcp-cicd.

Required capability

mcp-cicd

8: tools
4: workflows
4: guides + scripts

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Agent infrastructure

Cloud Infrastructure

Cloud operations for AI agents — deploy services, scale replicas, manage DNS, rotate secrets, promote between environments, monitor costs, and rollback on failure.

Required capability

mcp-infrastructure

24: tools
6: workflows
4: guides + scripts

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Agent infrastructure

Cloud Storage

Universal cloud storage for AI agents — upload, download, share, search, and manage files across AWS S3, Google Cloud Storage, Cloudflare R2, and MinIO.

Required capability

mcp-storage

12: tools
6: workflows
4: guides + scripts

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Developer workflows

Code Search & Navigation

Code intelligence for AI agents — semantic search, symbol lookup, call graphs, dependency mapping, blast radius analysis, and ownership resolution via mcp-code-search.

Required capability

mcp-code-search

8: tools
4: workflows
4: guides + scripts

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Developer workflows

Computer Use

Desktop automation for AI agents — screenshot, click, type, scroll, accessibility trees, form filling, menu navigation, scripts (AppleScript/JXA/PowerShell), app/window management. 49 tools.

Required capability

See compatibility notes

50: tools
5: workflows
4: guides + scripts

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Developer workflows

Container Management

Docker container operations for AI agents — run, stop, inspect, exec, manage images, networks, and volumes with safety-first lifecycle management via native Docker socket.

Required capability

mcp-containers

32: tools
6: workflows
4: guides + scripts

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Communication & knowledge

Content Management

Unified content platform for AI agents — articles, social media, YouTube, media library, SEO, and publishing workflows via mcp-cms (26 tools).

Required capability

mcp-cms

11: tools
4: workflows
4: guides + scripts

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Agent infrastructure

Credentials Management

Secure credential operations — request runtime secrets with scope validation, rotate keys on schedule, revoke on compromise, and audit all access.

Required capability

mcp-credentials-vault

8: tools
4: workflows
4: guides + scripts

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Business operations

CRM Customer Management

Enterprise CRM workflow orchestration for AI agents — customer 360 lookups, deal pipeline management, activity logging, and multi-MCP onboarding across Salesforce, HubSpot, Zoho CRM, and Pipedrive.

Required capability

mcp-crm

27: tools
5: workflows
5: guides + scripts

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Business operations

Customer Service Operations

AI-powered customer service — KB-first resolution, churn prediction, intelligent routing, and satisfaction tracking. Triage → Understand → Resolve → Respond → Close.

Required capability

mcp-customer-service

20: tools
5: workflows
4: guides + scripts

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Developer workflows

Database Operations

Safe database operations for AI agents — schema inspection, read-only querying, performance analysis, governed migrations, and data exploration via Supabase, PlanetScale, Neon, or any SQL database.

Required capability

mcp-database

22: tools
5: workflows
4: guides + scripts

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Developer workflows

Device Fleet Management

Endpoint management for AI agents — device health, security posture, compliance checks, diagnostics, and remediation via mcp-device-management (Intune/Jamf/Fleet/Kandji).

Required capability

mcp-device-management

10: tools
4: workflows
4: guides + scripts

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Communication & knowledge

Document Management

Multi-platform document operations for AI agents — create, search, edit, export, comment, and share across Google Docs, Google Drive, Notion, and Microsoft OneDrive/SharePoint.

Required capability

mcp-document

15: tools
5: workflows
4: guides + scripts

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Business operations

Education LMS

Learning management for AI agents — courses, assignments, grading, student progress, announcements, and analytics via Canvas LMS or generic LMS APIs.

Required capability

mcp-education

12: tools
4: workflows
4: guides + scripts

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Communication & knowledge

Email Management

Multi-backend email operations for AI agents — compose professional emails, manage inbox, search history, and deliver invoices/follow-ups across SMTP, AWS SES, SendGrid, Gmail, and Microsoft Graph.

Required capability

mcp-email

9: tools
5: workflows
4: guides + scripts

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Agent infrastructure

Environment & Deployment

Safe deployment operations — health checks, promotion gates, rollback, drift detection, and worker scaling across dev/staging/production.

Required capability

mcp-environment

10: tools
4: workflows
4: guides + scripts

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Explore by responsibility

Start with the work your agent must understand.

Choose a group to narrow the registry, then inspect how each skill turns a broad request into a repeatable sequence of tool calls and checks.

How skills fit ADK-Rust

Tools provide actions. Skills teach the agent how to use them well.

ADK-Rust loads the skill instructions into the agent's working context. The skill identifies the right tool sequence, operating rules, and completion criteria while the MCP server performs the authenticated work.

Understand

Match the request to the skill and its decision guide.

Execute

Use only the allowed tools in the documented sequence.

Verify

Apply the skill's success criteria before returning the result.