Automation

Executes HEC-HMS simulations using HmsCmdr.compute_run(), handles parallel execution across multiple runs, and manages Jython script generation. Use when running HMS simulations, executing runs, computing models, or setting up parallel computation workflows. Handles HMS 3.x and 4.x version differences, Python 2/3 compatibility, destination folder management, and multi-run coordination. Trigger keywords: run simulation, execute HMS, compute run, parallel execution, batch runs, Jython script, HMS 3.x, HMS 4.x, Python 2 compatible.

This skill should be used when the user asks to "collaborate with other Claude instances", "communicate with another Claude", "send telepathy message", "check messages from other agents", "set up multi-agent workflow", "work as a team", "coordinate with other agents", or mentions "telepathy", "inter-agent communication", "multi-agent", "agent coordination", "チームで作業", "他のClaudeと協業", "エージェント間通信".

Apache Superset dashboard automation for Finance SSC, BIR compliance, and operational analytics. Auto-generate dashboards, datasets, and charts. Tableau/Power BI alternative saving $8,400/year in licenses.

Manage FABER workflow run lifecycle - create, query, resume, rerun runs

TDD workflow: Generate tests BEFORE implementation. Use when user requests new feature or bug fix. Write failing tests first, then implement to pass. Creates unit, integration, and edge case tests.

Expert guidance for building AI agents with Pydantic AI framework. Use when creating multi-agent systems, AI orchestration workflows, or structured LLM applications with type safety and validation.

Visual UI testing expert using Playwright MCP for browser automation. Use when testing responsive layouts, verifying UI changes, checking breakpoints, debugging visual/CSS issues, or validating component rendering. Triggers on "test UI", "check layout", "verify design", "responsive", "breakpoint", "visual test", "screenshot".

Adjust strategy based on task complexity and risk; use when asked to choose between retrieval, tools, or generation.

Chain multiple skills together into automated workflows with conditional logic and parallel execution

Analytics and data analysis workflow skill

Comprehensive n8n workflow testing including execution lifecycle, node connection patterns, data flow validation, and error handling strategies. Use when testing n8n workflow automation applications.

Meta-skill for AI-User collaboration within the BL1NK Monorepo. Defines rules for file creation, redundancy management, and systematic workflow execution based on historical interaction patterns.

Design developer experiences that people love. Feedback loops, cognitive load, flow state, and ADHD-friendly patterns for tools and workflows.

Reduce heavy scaffolding by crystallizing repeated workflows into scripts, templates, or skills. Use when tasks require repeated manual steps or long prompt scaffolds.

This skill should be used whenever users request personal assistance tasks such as schedule management, task tracking, reminder setting, habit monitoring, productivity advice, time management, or any query requiring personalized responses based on user preferences and context. On first use, collects comprehensive user information including schedule, working habits, preferences, goals, and routines. Maintains an intelligent database that automatically organizes and prioritizes information, keeping relevant data and discarding outdated context.

Create high-converting email sequences for sales, launches, and nurture campaigns. Use when the user needs email sequences, drip campaigns, launch emails, or automated email workflows.

Orchestrates single-log sequential workflows by coordinating operation skills for individual logs

Glide workflows (automations) - triggers, nodes, and automation patterns. Covers both client-side App Interactions and server-side workflows.

Top-level bundle for superpowers workflow skills; enables /skill discovery of all subskills (using-superpowers, brainstorming, planning, execution, debugging, verification, etc.).

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows