Infrastructure as Code with Terraform and Terragrunt. Use for creating, validating, troubleshooting, and managing Terraform configurations, modules, and state. Covers Terraform workflows, best practices, module development, state management, Terragrunt patterns, and common issue resolution.

Comprehensive guidance for IBM Mainframe (z/OS) administration, development, operations, and modernization. Covers system programming, application development, middleware configuration, database manag

Migrate old IC10 code to work with current Stationeers version. Use when user has legacy IC10 scripts that don't work due to game updates or breaking changes.

Optimize IC10 code for efficiency and line count. Use when user wants to reduce line count, improve performance, or refactor existing Stationeers IC10 code.

Refactor IC10 code for clarity and structure. Use when user wants to reorganize code, apply design patterns, improve naming, or make code more maintainable without changing functionality.

Fix TypeScript errors, get diagnostics, rename symbols, find references, organize imports. Use when user needs IDE/LSP tools for code navigation, diagnostics, and refactoring.

Analyze system-wide impact of changes before making them. Use before modifying shared utilities, changing APIs, or refactoring core functionality.

'Execute refactoring tasks from a task file with parallel agent orchestration'

Implement schema evolution features including semantic versioning, migration planning, breaking change detection, and schema history tracking

Update all import statements, module references, string paths, and config references after moving or renaming files and modules. Handles Python, TypeScript, and JavaScript imports. Use when moving files, renaming modules, restructuring directories, or consolidating code.

Update import statements across the codebase when modules are moved or renamed. This skill should be used after refactoring operations to ensure all imports remain functional and properly organized.

Quick-trigger skill for analyzing conversations and improving AI behavior. This skill provides a streamlined version of the conversation-improver agent for immediate feedback and fixes.

This skill should be used when users drop off mid-task, motivation fades, or experiences feel flat. Applies Peak-End Rule, Goal-Gradient Effect, and Zeigarnik Effect.

Analyzes conversation history to improve CLAUDE.md files. Use when you notice patterns in how Claude misunderstands requests, want to consolidate repeated guidance, or improve instruction clarity based on actual usage.

Reflect on current session and suggest improvements to agents, commands, templates, workflows

Improve skill(s) by analyzing the current session.

Systematically work through TBTA features using the 6-stage STAGES.md workflow. Use when user wants to improve TBTA features, work on TBTA, or continue TBTA feature work.

improvement

Use when optimizing CLAUDE.md, AGENTS.md, custom commands, or skill files for Claude 4.5 models - applies documented Anthropic best practices systematically instead of inventing improvements

Improve existing agent skills based on user feedback and best practices. Use when the user wants to fix, enhance, or refactor an existing skill. Gathers user feedback first, then applies technical analysis and implements improvements.

Triage a production incident with safe, minimal changes and rollback guidance.

Break multi-file changes into atomic commits ordered by dependency. Use for refactors, breaking API changes, or features touching 3+ files.

This skill is for **IMPLEMENTATION** (applying refactoring patterns). If you don't yet know what to refactor:

Systematic research protocol for discovering novel AI-native software businesses in the synthetic workforce era. Maps capability trajectories, analyzes segment-problem spaces, generates business models, and calculates inevitability scores across 3-24 month time horizons. Use when exploring AI business opportunities, conducting market research, or identifying automation-native ventures.

Infrastructure guidelines for A4C-AppSuite. Covers idempotent Supabase SQL migrations with RLS policies, Kubernetes deployments for Temporal workers, CQRS projections with PostgreSQL triggers, and AsyncAPI contract-first event design. Emphasizes safety, idempotency, and SQL-first development.

Generate JSDoc/docstrings from code analysis

Innovation management expertise for innovation frameworks (Design Thinking, Stage-Gate), ideation processes, innovation portfolio management, venture capital, open innovation, and IP strategy. Use when driving innovation, managing R&D portfolios, or building innovation programs.

Expert management of install.sh (2000+ lines). Use for installation troubleshooting, idempotency checks, secret generation, volume migration, 11 services startup order (including heuristics and semantic), and user onboarding.

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Advanced intent interpretation system that analyzes user requests using cognitive science principles and extrapolates logical volition. Use when user requests are ambiguous, when deeper understanding would improve response quality, or when helping users clarify what they truly need. Applies probabilistic intent mapping, first principles decomposition, and Socratic clarification to transform vague requests into well-understood goals.

Use when designing Internal Developer Platforms (IDPs), building platform teams, or improving developer experience. Covers platform engineering principles, Backstage, portal design, and platform team structures.

Analyzes and optimizes internal link structure to improve site architecture, distribute page authority, and help search engines understand content relationships. Creates strategic internal linking plans.

Guides adding and structuring internal Go packages: when to create a new package, import paths, cmd vs internal boundaries, and domain layout. Use when creating or refactoring code under internal/, adding a new domain, or when the user asks about internal package structure.

Analyze feature requests or refactor plans to determine investment value and provide actionable recommendations.

Use when implementing iOS 26 features (Liquid Glass, new SwiftUI APIs, WebView, Chart3D), deploying iOS 26+ apps, or supporting backward compatibility with iOS 17/18.

Craft irresistible offers using direct response marketing principles. Includes 7-part offer formula, psychological triggers, value stacking, and risk reversal strategies.

Create GitHub issue with template

迭代改进 Skill 的 Skill。当评价不通过或需要优化时触发。触发词：迭代、改进、优化、iterate、improve。

java-best-practices-refactor-legacy

Instructions for refactoring JavaScript code into separate files

Analyzes legacy JCL (Job Control Language) scripts to assist with migration to modern workflow orchestration and batch processing systems. Extracts job flows, step sequences, data dependencies, conditional logic, and program invocations. Generates migration reports and creates implementation strategies for Spring Batch, Apache Airflow, or shell scripts. Use when working with mainframe job migration, JCL analysis, batch workflow modernization, or when users mention JCL conversion, analyzing .jcl/.JCL files, working with job steps, procedures, or planning workflow orchestration from JCL jobs.

Use when JetBrains MCP tools are available (mcp__jetbrains__*) - enforces IDE-native workflow with problem checking after file completion, and smart refactoring tools instead of grep/sed

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Joint genotype calling across multiple samples using GATK CombineGVCFs and GenotypeGVCFs. Essential for cohort studies, population genetics, and leveraging VQSR. Use when performing joint genotyping across multiple samples.

Map customer journeys to understand end-to-end user experiences, identify pain points, and discover opportunities for improvement.

User and customer journey mapping for experience analysis. Creates journey maps with touchpoints, emotions, pain points, and opportunity identification.

JavaScript/TypeScript static analysis tool for call graphs, unused code detection (tree shaking), dependency analysis, and circular dependency detection