Java Spring Boot 服务中认证/授权、验证、CSRF、密钥、标头、速率限制和依赖安全性的 Spring Security 最佳实践。

Canton Network, DAML, and Splice repository knowledge. Use when working with Canton participants, DAML smart contracts, Splice applications, LF version compatibility, or package ID mismatches. Triggers on Canton, DAML, Splice, decentralized-canton-sync, or LF version queries.

Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.

Optimize Customer.io costs and usage efficiency. Use when reducing profile count, cleaning inactive users, deduplicating events, or right-sizing your plan. Trigger: "customer.io cost", "reduce customer.io spend", "customer.io billing", "customer.io pricing", "customer.io cleanup".

Track and optimize application response times across API endpoints, database queries, and service calls. Use when monitoring performance or identifying bottlenecks. Trigger with phrases like "track response times", "monitor API performance", or "analyze latency".

Manage MCP servers - discover, analyze, execute tools/prompts/resources. Use for MCP integrations, capability discovery, tool filtering, programmatic execution, or encountering context bloat, server configuration, tool execution errors.

Professional-grade brand voice analysis, SEO optimization, and platform-specific content frameworks.

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

Stage and commit changes following conventional commits. Auto-bumps package versions before committing.

Surface past learnings relevant to the current task before starting work. Searches correction history, recalls past mistakes, and applies prior patterns. Use when starting a task, saying "what do I know about", "previous mistakes", "lessons learned", or "remind me about".

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.

Generate a repo-local weekly delivery recap from GitHub, Slack, calendar, and docs evidence by default, using best-effort collection for unavailable non-GitHub sources. Produces recap, status update, and brag-candidate files. Use when the user asks for a weekly summary, weekly report, status report, standup notes, progress update, accomplishments list, what they did this week, or what they accomplished.

Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state divergence. 25 core + 16 IBC + 10 EVM + 3 CosmWasm patterns. Use when auditing custom x/ modules, reviewing IBC integrations, or assessing pre-launch chain security. Updated for SDK v0.53.x.

Format code examples in markdown documentation for TalkPipe. Use when writing or editing doc examples. Covers unindented fences, standalone vs fragment intent, and skip-extract. Complements run-documentation-examples which runs the examples.

Apply Customer.io advanced debugging and incident response. Use when diagnosing complex delivery issues, investigating campaign failures, or running incident playbooks. Trigger: "debug customer.io", "customer.io investigation", "customer.io troubleshoot", "customer.io incident", "customer.io not delivering".

Design robust, scalable database schemas for SQL and NoSQL databases. Provides normalization guidelines, indexing strategies, migration patterns, constraint design, and performance optimization. Ensures data integrity, query performance, and maintainable data models.

認証の追加、ユーザー入力の処理、シークレットの操作、APIエンドポイントの作成、支払い/機密機能の実装時にこのスキルを使用します。包括的なセキュリティチェックリストとパターンを提供します。

Detect repository stack for LaunchDarkly SDK onboarding: languages, frameworks, package managers, monorepo targets, entrypoints, existing LD usage. Nested under sdk-install; next is plan.