cloud-image-bake
Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.
Browse agent skills for ETL pipelines, data transformation, and big data
Categories, GitHub stars, and source recency help organize and order the catalog. These signals are not an endorsement, quality certification, safety review, or guarantee of fit. Open a skill detail and inspect its source before use.
51,972 results
Bake, select, prove, and safely retire a Cloud Worker image with crabbox and config one-liners.
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
Claude DevFleet経由でマルチエージェントコーディングタスクをオーケストレーション — プロジェクトを計画し、分離された作業ツリー内で平行エージェントを派遣し、進捗を監視し、構造化レポートを読む。
Skill content language: Japanese
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Skill content language: Japanese
Docker イメージの構築、最適化、マルチステージビルド、ネットワーク、ボリューム管理。本番環境デプロイメント用のベストプラクティス。
Skill content language: Japanese
RFC駆動の複数エージェントDAG実行パターン、品質ゲート、マージキュー、ワークユニットオーケストレーション。
Skill content language: Mixed languages
고성능 분석 워크로드를 위한 ClickHouse 데이터베이스 패턴, 쿼리 최적화, 분석 및 데이터 엔지니어링 모범 사례.
Skill content language: Korean
团队中人工智能代理生成大部分实施输出的工程运营模型。
Skill content language: Chinese
在Claude Code会话期间,将做出的架构决策捕获为结构化的架构决策记录(ADR)。自动检测决策时刻,记录上下文、考虑的替代方案和理由。维护一个ADR日志,以便未来的开发人员理解代码库为何以当前方式构建。
Skill content language: Chinese
通过Claude DevFleet协调多智能体编码任务——规划项目、在隔离的工作树中并行调度智能体、监控进度并读取结构化报告。
Skill content language: Chinese
ClickHouse数据库模式、查询优化、分析以及高性能分析工作负载的数据工程最佳实践。
Skill content language: Chinese
为 Grafana、SigNoz 等平台构建能够回答实际运维人员问题的监控仪表板。适用于将指标转化为可用的仪表板,而非华而不实的展示板。
Skill content language: Chinese
临床决策支持系统(CDSS)开发模式。药物相互作用检查、剂量验证、临床评分(NEWS2、qSOFA)、警报严重性分类以及集成到电子病历工作流程中。
Skill content language: Chinese
JetBrains Exposed ORM 模式,包括 DSL 查询、DAO 模式、事务、HikariCP 连接池、Flyway 迁移和仓库模式。
Skill content language: Chinese
基于RFC驱动的多智能体DAG执行模式,包含质量门、合并队列和工作单元编排。
Skill content language: Chinese
基于证据优先的仓库执行工作流,适用于ECC。当用户需要运行命令、检查仓库、调试CI失败或推送带有精确执行和验证证明的窄修复时使用。
Skill content language: Chinese
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Skill content language: Chinese
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. Use when writing ClickHouse schemas or queries, or when an analytical query is too slow.
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation. Use when repeated file processing is slow and results should be cached and invalidated by content rather than path.
Diagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. Use when a pipeline or backfill is too slow and must get faster without losing data correctness.
JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern. Use when working with the Exposed ORM — DSL or DAO queries, transactions, pooling, or migrations.
Optimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data freshness matters.
Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications. Use when adding caching, a distributed lock, rate limiting, or pub/sub with Redis, or when key design needs review.
Run the ECC engineering process retroactively against an existing project slice. Audit current state, reconstruct past decisions, produce a four-axis gap register (thinking, coding practice, missing features, technology selection), then execute fixes forward through the plan-TDD-review pipeline. Use when adopting ECC mid-project, taking over an inherited codebase, or asking what was missed and what would have been built differently from day one.
Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports. Use when dispatching parallel coding agents across isolated worktrees and tracking their reports.
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
Prevent silent decimal mismatch bugs across EVM chains. Covers runtime decimal lookup, chain-aware caching, bridged-token precision drift, and safe normalization for bots, dashboards, and DeFi tools. Use when handling token amounts across EVM chains, or when a balance, price, or transfer amount is off by orders of magnitude.
Orchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP through planned vertical slices.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.
Use for file-driven multimodal image, video, and 3D-asset discovery; taste interviews; distill or apply workflows; style-pack validation; editable EDL/FCPXML export; provenance audits; and offline planning that must fail closed before provider generation.
How to land a formal cherry-pick of a merged PR for the flutter/flutter repo stable or beta channel. Only use for flutter/flutter landed pull requests. Only use when the cherry pick request is into "stable", "beta" or a branch that has the format with flutter-<major>.<minor>-candidate.0.
Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)
Read-only queue dashboard for workspace-aware ship. (gstack)
Run a heavy suite, build or eval on an ephemeral 16-vCPU Ubicloud VM: TTL-named VMs, a reaper, quota preflight and a hang watchdog. (gstack)
Delivers changes incrementally in thin, verifiable slices. Use when implementing any feature or change that touches more than one file, or when picking up the next task from a plan. Use when rolling a change out behind a feature flag, when you're about to write a large amount of code at once, or when a task feels too big to land in one step.
A hospital data-governance briefing: patient-data risk, the control framework, accountability, and the approval the board must give. Built as a decision-grade policy briefing deck for health-system board, regulators.
A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas at 60fps. Produced as a single self-contained `index.html`. Use when the brief asks for a "web worker", "simulation", "particle system", "physics", "off-main-thread", "fractal", "real-time compute", or "audio/data visualizer". OpenDesign serves this in powered-preview mode so Workers and SharedArrayBuffer actually work.
Map an extracted Figma / source-code token bag onto the active OD design system, producing a deterministic mapping the generate stage can consume.
Twitter quote or data card designed to pair with a post.
Skill content language: Chinese
A hospital data-governance briefing: patient-data risk, the control framework, accountability, and the approval the board must give. Built as a decision-grade policy briefing deck for health-system board, regulators.
Claude 代理实验室的连续数据界面动效模板。
Skill content language: Mixed languages
A real-time data/particle/simulation visualizer whose heavy compute runs in a Web Worker (off the main thread), optionally sharing memory with the UI via SharedArrayBuffer, and renders to a canvas at 60fps. Produced as a single self-contained `index.html`. Use when the brief asks for a "web worker", "simulation", "particle system", "physics", "off-main-thread", "fractal", "real-time compute", or "audio/data visualizer". OpenDesign serves this in powered-preview mode so Workers and SharedArrayBuffer actually work.
Create a polished operations dashboard prototype with dense KPIs, status tables, and a focused command-center layout.
Twitter quote or data card designed to pair with a post.
Skill content language: Chinese
Swiss-grid fintech deck template in black / warm paper / neon-lime contrast. Use when users ask for premium data-story slides with strict modular layout, bold numeric cards, restrained motion, and keyboard/click navigation in one HTML file.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.