Render the multi-agent orchestration DAG for a session — parent→child subagent edges, tree depth, and fan-out — from the Agent Monitor workflow intelligence API.
Step-by-step Dart task workflows via SLOP: fetch, update, complete, create, block. Dart 任務常用工作流，以 SLOP 操作。 Use when: getting active tasks, completing task, creating subtasks,…
Complete reference for all 21 Dart MCP tools: tasks, documents, comments, workspace config. Dart MCP 服務器全21工具參考，含任務、文檔、評論、工作區配置。 Use when: looking up tool parameters,…
Design effective dashboards with clear layouts, KPI displays, data grids, and real-time updates. Covers dashboard patterns, information hierarchy, responsive grids, widge — from…
Detects data integrity issues including orphaned records, broken foreign key relationships, constraint violations, and provides automated fix migrations.
LLM-app discipline — the three-tier assertion/judge/human eval ladder with no higher tier before the lower, cross-family judges, a single pinned model-version env var,…
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models.
Schema tasarımı, migration stratejileri, indexing, query optimization ve database best practices. — from majiayu000/claude-skill-registry-data
Schema tasarımı, migration stratejileri, indexing, query optimization ve database best practices. — from majiayu000/claude-skill-registry-data
Database design patterns, SQL best practices, ORM usage (Prisma/Drizzle), and migration strategies. Use when designing schemas, writing queries, or optimizing database operations.
Analyze Datadog error logs for Packmind production services (api-proprietary, mcp-proprietary, frontend-proprietary), group them into patterns, root-cause against the codebase,…
Monitors Datadog metric streams using the Datadog API v2 and applies ML-based anomaly detection to alert on infrastructure drift.
Creates and manages Datadog monitors using the datadog-api-client SDK. Configures metric, log, APM trace, and composite monitors with proper threshold types and notification…
Consulta de processos judiciais brasileiros via API Pública do CNJ/DataJud: metadados, movimentações e busca por classe/órgão/assunto.
Instrument any external or existing AI agent with OpenTelemetry to send traces, logs, and metrics to DataRobot for monitoring, observability, and governance.
Dataset Loader Creator - Auto-activating skill for ML Training. Triggers on: dataset loader creator, dataset loader creator Part of the ML Training skill category.
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP.
当用户搜索 达瓦FilmOS替代、工业级AI视频、Multi-Agent、虚拟预演、短剧电商、OiiOii同类平台、AI视频Agent、创意Agent平台、AI-HIVE MCP 时使用。为 达瓦 FilmOS…
Front door for all DayZ work in Agentic-Z. First run is a setup wizard (env check, intent prompts, plan, execute).
Defines database performance monitoring strategy with slow query detection, resource usage alerts, query execution thresholds, and automated alerting.
Scaffold a new dbt model with contract, unit test, and model body in the right order. Seeded from dbt-labs/dbt-agent-skills (Feb 9 2026).
The official dbt MCP Server by dbt Labs provides Model Context Protocol tools for AI agents to interact with dbt projects, query the Semantic Layer, execute SQL, generate SQL from…
Define semantic-layer entities, measures, dimensions, and metrics in the MetricFlow shape. Seeded from dbt-labs/dbt-agent-skills (Feb 9 2026).
Infrastructure skill - guide developers and agents through creating or modernizing a DCC-MCP adapter or standalone internal MCP service for Nuke, Blender, 3ds Max, Unreal, ZBrush,…
Infrastructure skill - create, validate, scaffold, and review DCC-MCP skills for the dcc-mcp-core ecosystem.
Web search via the DDGS metasearch library. Use for searching for unknown documentation, facts, or any web content. Lightweight, no browser required.
Use when executing implementation plans with independent tasks in the current session — from dhslegen/disciplined-delivery-toolkit
Decision modeling using decision tables, weighted scoring matrices, and decision trees. Structures complex decisions with clear criteria, alternatives evaluation, and out — from…
Decision modeling using decision tables, weighted scoring matrices, and decision trees. Structures complex decisions with clear criteria, alternatives evaluation, and out — from…
Structured decision critic that systematically stress-tests reasoning before commitment surfacing hidden assumptions verifying claims and generating adversarial perspecti — from…
Enforces decisive decision-making. Search best practices, decide on ONE option, provide reasoning. NEVER ask user to choose.
Generalized Partial Global Planning with TAEMS task structures for multi-agent coordination
Build and maintain MCPs in the decocms/mcps monorepo. Covers deco HTTP server pattern (withRuntime, createPrivateTool), tool definitions, app.json config, and the two MCP types:…
Break a feature into ordered, agent-sized GitHub issues that the ship-loop can work through sequentially.
Deep codebase exploration and synthesis using parallel task agents with dynamic planning. Use when asked for "deep analysis", "analyze codebase", "explore and analyze",…
Deep exploration and synthesis workflow using parallel task agents with dynamic planning and hub-and-spoke coordination.
Deep exploration and synthesis workflow using dynamic planning and hub-and-spoke coordination. Use when asked for "deep analysis", "deep understanding", "analyze codebase",…
Deep exploration and synthesis workflow with dynamic planning and hub-and-spoke coordination. Use for deep analysis, deep understanding, or codebase investigation.
Deep exploration and synthesis workflow using agent teams with dynamic planning and hub-and-spoke coordination.
Deep exploration and synthesis workflow with dynamic planning and hub-and-spoke coordination. Use for deep analysis, codebase understanding, or thorough investigation of — from…
Deep exploration and synthesis workflow using agent teams with dynamic planning and hub-and-spoke coordination.
Deep exploration and synthesis workflow using agent teams with dynamic planning and hub-and-spoke coordination.
Multi-agent deep discussion with intelligent Orchestrator coordination. Uses agenda checklist to track progress.
Run extended multi-agent reconnaissance sessions. Use when asked to brainstorm deeply, explore ideas from multiple angles, or generate a structured recon document.
Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to capture insights, document system understanding, and — from…
Run a multi-thread deep job-search sweep over the search spaces currently queued in working/scripts/viz/build_sweep_viz.py.
Zero-friction agent signup for production OCR. Your AI agent gets its own API key in seconds via device authorization — no dashboard, no copy/paste.
Triage-cache hygiene and "what's next?" queue selection -- the agent-facing playbook for syncing the triage cache, classifying candidates, presenting a ranked queue, walking…
Use delegate-skills to discover implementer CLIs, create approved delegation lanes, dispatch bounded coding tasks, and review the returned diff before landing commits yourself.
Prüft das Verhältnis von vertraglicher und deliktischer Haftung: Konkurrenz, Anspruchskumulation und Verjährungsunterschiede im BGB BT.
Prüft das Verhältnis von vertraglicher und deliktischer Haftung: Konkurrenz, Anspruchskumulation und Verjährungsunterschiede. — from Klotzkette/claude-fuer-deutsches-recht
Agent responsibilities and hard boundaries. Load when determining which agent should act or checking role violations.
Eine A2A-Agentenkarte (.well-known/agent.json) als Manifest entwerfen, das Agentenfaehigkeiten, Skills, Authentifizierungsanforderungen und unterstuetzte Inhaltstypen beschreibt.
Design framework-neutral agent and automation workflows before implementation. Use when choosing between Codex app automations, codex exec, Codex subagents, OpenAI Agents SDK…
Design evaluation workflows for agent, skill, prompt, and automation behavior before implementation. Use when choosing eval cases, graders, thresholds, regression runs, full-auto…
Use Agents Best Practices when an agent should produce concrete harness designs, permission models, memory plans, eval gates, or production-readiness audits.
Expert photography prompt engineer specializing in crafting detailed, evocative prompts for AI image generation.
Design a Zoom MCP workflow for Claude. Use when deciding whether Zoom MCP fits a task, when planning tool-based AI workflows, or when separating MCP responsibilities from REST API…
Converge on a single recommended solution after brainstorming options. Use when you have multiple candidate approaches and need to analyze trade-offs, select one, and def — from…
Converge on a single recommended solution after brainstorming options. Use when you have multiple candidate approaches and need to analyze trade-offs, select one, and def — from…