DACI decision facilitation framework for clarifying decision ownership, reducing decision thrash, and improving governance across product teams.
Build daemon/background processes that start on boot, run continuously, and manage their own lifecycle.
Operational commands for the AgentX daemon on the current host — restart, tail logs, hot-reload config, status, Claude-auth and overage-gate troubleshooting.
Use when adding, refactoring, or auditing TUI code in daft — pickers, inline renderers, modal screens, key handling, terminal lifecycle, or anywhere `enable_raw_mode` /…
Use when building, querying, designing, or discussing the DAG structure, node conventions, edge types, or graph traversal for Terraform resources.
Operations, debugging, and optimization for DAG workflows. Performs root cause analysis on failures, profiles execution performance, aggregates results from parallel branches,…
Executes DAG workflows with parallel wave processing, agent spawning, context isolation, permission enforcement, and full execution tracing.
Dagger is an open-source automation engine for building, testing, and shipping any codebase. It replaces shell scripts and proprietary YAML with real code using SDKs in Go,…
Automatic graph layout using dagre with React Flow (@xyflow/react). Use when implementing auto-layout, hierarchical layouts, tree structures, or arranging nodes programmatically.
Expert guidance for Dagster data orchestration including assets, resources, automation, testing,
Orchestrate data pipelines using Dagster, the cloud-native data orchestration platform. Define data assets as Python functions with automatic lineage tracking, scheduling, and…
Expert guidance for Dagster data orchestration including assets, resources, schedules, sensors, partitions, testing, and ETL patterns.
Interact with Dagster data orchestration platform running locally or on Kubernetes. Use when Claude needs to monitor Dagster runs, get run logs, list assets/jobs, materialize…
ALWAYS USE when working with Dagster assets, resources, IO managers, schedules, sensors, or dbt integration.
Comprehensive Dagu workflow orchestration skill for creating, managing, and automating workflows with Dagu - a compact portable workflow engine.
Run a daily health check on all configured ad accounts (Google Ads, Meta Ads, Amazon Ads, TikTok Ads, Search Console, GA4, and any configured plugin platform).
Generate a daily code review report showing stale PRs, items needing your attention, and active work for your team.
Anleitung zur Analyse der DailyQuest Supabase-Datenbank mit der Supabase CLI. Enthält den kompletten Workflow: CLI installieren, authentifizieren, Projekt verknüpfen, Schema…
Structured prompt generation for OpenAI's DALL-E 3 API (images/generations endpoint) with style modifiers, aspect ratio control, and batch variation generation.
Expert on building decentralized applications with Shelby Protocol storage on Aptos. Helps with dApp architecture, wallet integration (Petra), browser SDK usage, React/Vue…
Expert on building decentralized applications on Aptos with frontend integration, wallet connectivity (Petra, Martian, Pontem), TypeScript SDK, transaction submission, and wallet…
Integrate Dapr building blocks for event-driven microservices - Pub/Sub, State Management, Secrets, Service Invocation, and Jobs API.
Expert in building distributed systems using Dapr. Use this for implementing pub/sub, state management, jobs, and secrets abstraction.
Validate Dapr component configs, sidecar annotations, and mTLS settings. Use when: (1) Creating Dapr Component manifests, (2) Adding Dapr annotations to deployments, (3)…
Run the Dark Factory DOT pipeline runner against a goal. Slash command: /factory. Implements StrongDM's Attractor pattern as an external Python runner — .dot files are the…
Use when implementing dark mode — prefers-color-scheme detection, theme persistence, flash-of-unstyled-theme prevention, color token mirroring, image and asset variants, and meta…
Systematic dark mode testing covering color contrast, theme switching, persistence, media query respect, component-level theming, and image adaptation.
基于 gin-gonic/gin 的企业级 Web 框架增强版，提供开箱即用的 JWT 认证、SSE 实时通信、缓存管理、OpenAPI 文档生成等企业级功能。涵盖选项式路由配置、统一响应格式、中间件管理、安全加固、性能优化等完整开发能力。
Audit dark mode implementation. Detects architecture (CSS custom props, Tailwind dark:, JS class toggle), checks contrast, semantic token overrides, dark-specific anti-patterns,…
Apply Dart 3 language features including patterns, sealed classes, switch expressions, records, and if-case syntax.
Write and organize unit tests for functions, methods, and classes using `package:test`. Use when creating new logic or fixing bugs to ensure code remains correct and…
DART CI/CD troubleshooting - GitHub Actions, cache debugging, platform-specific failures
Implement, debug, review, refactor, and test Dart and Flutter projects using repository-compatible SDK, package, null-safety, async, widget, and testing practices.
中文优先：用于DartFlutter模式相关任务，帮助识别、设计、实现或验证对应工作流。English keywords: Production-ready Dart and Flutter patterns covering null safety, immutable state, async composition, widget…
Define and generate mock objects for external dependencies using `package:mockito` and `build_runner`.
Dart/Flutter MCP tools reference for app lifecycle, hot reload/restart, logging, widget inspection, and code analysis. Use when debugging Flutter applications.
Guidelines and best practices for refactoring consecutive prints, single-line string concatenations, and complex output blocks into triple-quoted multi-line string literals ('''…
Understand and improve test coverage in a Dart package. Helps agents run coverage, interpret results, and identify missed lines.
Core concepts and best practices for `package:test`. Covers `test`, `group`, lifecycle methods (`setUp`, `tearDown`), and configuration (`dart_test.yaml`).
Applies Dart 3 pattern matching, switch expressions, and destructuring idiomatically to validate data schemas, handle algebraic data types, and decompose control flow.
Provides comprehensive darts scoring rules and board structure knowledge. Use when implementing or testing darts scoring logic, validation, simulation, or any feature related to…
Hybrid cognitive architecture combining Darwinian evolution with Gödel Machine self-improvement for maximum reasoning power.
Build production-grade interactive dashboards with Plotly Dash - enterprise features, callbacks, and scalable deployment
Proper authentication patterns for dashboard frontend API calls. Use when adding new API endpoints, creating components that fetch data, or debugging 401 Unauthorized errors.
Use to decide where an admin dashboard lives — inside the customer web app, as a route group, as a separate application, or in a separate repository — weighing user roles,…
Next.js dashboard patterns including chat-first UI, D3.js visualizations, and API proxy architecture
Use to plan dashboard reports and charts — server-side aggregation, date-range/filter state in the URL, chart library evaluation, CSV/PDF export, scheduled reports, and handling…
Get a secret value that only exists in a third-party dashboard (Supabase, GCP, etc.) and seed it into keyshelf.
Quick dashboard health and status overview — checks the Agent Monitor API (port 4820), reports session/agent/event counts from /api/stats, confirms WebSocket connectivity,…
Use to plan dashboard data tables — server-side vs client-side pagination/sorting/filtering by data size, column architecture, virtualization for large sets, row selection for…
Migrate a fleet of hand-built monitoring dashboards into version-controlled code with a MACHINE-CHECKED equivalence proof.
The single command that gets a DashClaw change ON MAIN AND LIVE — it resolves everything blocking production, never defers, and never hands back a checklist.
Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps.
Master Python programming, Data Science, AI/LLM engineering, and Database administration. Use this as a central index to access specialized sub-skills.
Build data pipelines, AI systems, and machine learning models with Python. USE THIS for data processing, model training, LLM integration, RAG systems, NLP, vector databases,…
Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
A skill for analyzing data using Python (pandas) and generating professional visualizations (matplotlib/seaborn).
Create data pipeline and analytics architecture diagrams using PlantUML syntax with database/analytics stencil icons.
Review or assess a data architecture, data model, or data platform design. Evaluates six data-specific quality attributes (DAMA-DMBOK aligned), topology choice, data contracts,…
Single source of truth patterns, facts.ts structure, type safety, and data helper functions. Use when working with project data or adding new facts.