Convert F# code to idiomatic Elm. Use when migrating F# projects to Elm, translating backend F# to frontend Elm, refactoring .NET backends with Elm frontends, or exploring functional patterns across backend and frontend domains. Extends meta-convert-dev with F#-to-Elm specific patterns.

Convert Haskell code to idiomatic Elm. Use when migrating Haskell logic to frontend applications, translating pure functional patterns to Elm's architecture, or refactoring Haskell code for web UI. Extends meta-convert-dev with Haskell-to-Elm specific patterns.

Convert Python code to idiomatic Elm. Use when migrating Python backends to Elm frontends, translating Python logic to type-safe frontend code, or refactoring Python codebases into functional-first Elm applications. Extends meta-convert-dev with Python-to-Elm specific patterns focused on The Elm Architecture (TEA).

Convert Roc code to idiomatic Elm. Use when migrating Roc applications to Elm frontend code, translating platform-agnostic Roc to browser-based Elm, or refactoring Roc CLI tools to Elm web applications. Extends meta-convert-dev with Roc-to-Elm specific patterns.

Convert Scala code to idiomatic Elm. Use when migrating Scala backend logic to Elm frontend applications, translating functional Scala patterns to The Elm Architecture, or refactoring from advanced type system features to simpler compile-time guarantees. Extends meta-convert-dev with Scala-to-Elm specific patterns.

Convert tasks.md to prd.json with smart routing classification. Use after creating tasks. Triggers on: convert to prd, generate prd.json, convert tasks.

Atlas skill for converting Claude Code Subagents to OpenCode Agents format. USE WHEN migrating from Claude Code to OpenCode or when you have existing subagent definitions to port.

Use this skill when converting Claude Code slash commands to Skills format. Handles transformation from ./commands/*.md to ./skills/*/SKILL.md, including YAML frontmatter conversion, name transformation to gerund form, description enhancement for invocation triggers, and batch processing. Invoke when user asks to convert commands to skills, migrate slash commands, or transform command files.

Provides expertise in converting Figma designs to HTML/CSS using Figma MCP tools, with data attributes for content tracking and comprehensive analysis. Use when converting Figma designs to web code.

Atlas skill for converting Claude Code slash commands to OpenCode commands format. USE WHEN migrating from Claude Code to OpenCode or when you have existing slash command definitions to port.

Complete file handling including upload flows, serving files via URL, storing generated files from actions, deletion, and accessing file metadata from system tables

Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes

Quick security audit checklist covering authentication, function exposure, argument validation, row-level access control, and environment variable handling

Complete conversation lifecycle management - start (understanding & alignment), capture (mid-conversation context), and exit (debrief & improvement). Use automatically at conversation boundaries and checkpoints.

Implement features end-to-end with smart intent detection. Accepts natural language or plan paths. Auto-routes to appropriate workflow (fast, auto, parallel, code).

Same design, multiple cooks compete. Each implementation team creates their own plan from the shared design, then implements it. Natural variation emerges from independent planning decisions.

Use this skill when working with the cool-mysql library for Go. This skill provides comprehensive guidance on using cool-mysql's MySQL helper functions, including dual connection pools, named parameters, template syntax, caching strategies, and advanced query patterns. Apply when writing database code, optimizing queries, setting up caching, or migrating from database/sql.

Generate custom GitHub Copilot agents following VS Code's `.agent.md` format with proper YAML frontmatter and markdown instructions.

Create Copilot-optimized task specifications for handoff between Claude and GitHub Copilot. Use when planning implementation tasks that Copilot will complete. Optimizes comment format, provides rich context, includes checklists and examples.

Synchronize GitHub Copilot configuration files (agents, prompts, skills, instructions) from github-copilot-base template to existing codebases. Creates backups before overwriting. Use when updating Copilot configuration, syncing Copilot files, or bringing a project up to date. Triggers on sync copilot, update copilot, copilot sync, sync configuration.

Professional copywriter for SaaS and startups. Expert in landing page copy, positioning, messaging, conversion optimization, and voice-of-customer research. Use when writing compelling copy for SaaS products, landing pages, marketing materials, or when you need help with product positioning and messaging strategy.

Generate CPCC-compliant software design specification documents (软件设计说明书) through multi-phase code analysis.

corder-code-templates

corder-test-generation

Implementation specialist for writing clean, efficient code following best practices and design patterns

Expert Core Data decisions for iOS/tvOS: when Core Data vs alternatives, context architecture for multi-threading, migration strategy selection, and performance optimization trade-offs. Use when choosing persistence layer, debugging save failures, or optimizing fetch performance. Trigger keywords: Core Data, NSManagedObject, NSPersistentContainer, NSFetchRequest, FetchRequest, migration, lightweight migration, background context, merge policy, faulting

Strategic planning and task orchestration agent for breaking down complex tasks into actionable execution plans

Deep research and information gathering specialist for thorough investigation, pattern analysis, and knowledge synthesis

Guide for creating effective skills with specialized knowledge and workflows.

Personal AI Infrastructure core. AUTO-LOADS at session start. The authoritative reference for how the PAI system works, how to use it, and all system-level configuration. USE WHEN any session begins, user asks about the system, identity, configuration, workflows, security, or any other question about how the PAI system operates.

Enforce mature commit hygiene and documentation standards for long-lived projects. Trigger this skill automatically in ANY project before ANY commit creation, whether prompted by human, agent, or another skill; always do this, to ensure changesets are clean, tests pass, commit messages are terse and insightful, and all committed content is timeless rather than dependent on circumstantial context to cohere or be useful. Targets senior/staff engineer standards - no cruft, no debug statements, no transient language, no obvious comments. Maintains README accuracy and prevents documentation bloat.

Clean Architecture and Cosmic Python guidance for well-tested, layered Python systems. Use for designing Python projects with layered architecture (models, adapters, services, entrypoints), enforcing Clean Code and SOLID principles, testing strategies (unit tests, BDD, Gherkin), CI/CD setup (pytest, tox, importlinter), and architectural decision-making (ADRs). Applicable to systems requiring strict boundary enforcement, clean separation of concerns, and comprehensive test coverage.

Scans Cosmos SDK blockchains for 9 consensus-critical vulnerabilities including non-determinism, incorrect signers, ABCI panics, and rounding errors. Use when auditing Cosmos chains or CosmWasm contracts.

Cost approach valuation for specialized infrastructure (transmission towers, telecom sites, substations) using replacement cost new less depreciation (physical, functional, external). Use for specialized asset valuation when market comparables are unavailable or incomplete. Provides RCN estimation, depreciation analysis across three categories, and market approach reconciliation.

Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing cost governance policies.

Achieve 70-90% cost savings with intelligent model routing. NO OpenAI allowed.

This skill automates the creation of structured learning materials for coding test (CoTe) algorithm and data structure patterns. When a user requests learning materials for a specific pattern or conce

Multi-agent debate system. USE WHEN council, debate, perspectives, agents discuss. SkillSearch('council') for docs.

Get a help or a second opinion from other agents. Bundle a prompt and a curated file set, then ask other LLMs for advice (debug, refactor, design, ...).

This skill provides guidance for counting tokens in datasets using specific tokenizers. It should be used when tasks involve tokenizing dataset content, filtering data by domain or category, and aggregating token counts. Common triggers include requests to count tokens in HuggingFace datasets, filter datasets by specific fields, or use particular tokenizers (e.g., Qwen, DeepSeek, GPT).

Design educational courses and curriculum with learning objectives and assessments

Advanced coverage analysis with actionable insights. Use to identify coverage gaps, suggest specific tests, track coverage trends, and highlight critical uncovered code. Essential for reaching 80%+ coverage target.

Ensure test coverage percentage is displayed in README.md for Next.js and Python projects following industry standards

Generate and analyze test coverage reports. Use to identify coverage gaps, track coverage trends, and ensure quality thresholds are met.

Coverage thresholds and reporting. Use when analyzing and improving test coverage.

Define pragmatic, ROI-focused test coverage strategies.

Integrate coverport into Go repositories with Tekton pipelines to enable e2e test coverage collection and upload to Codecov. Use this skill when users ask to integrate coverport, add e2e coverage tracking, or set up coverage instrumentation for Go projects.

This skill should be used when working with C++ projects, CMakeLists.txt, Ninja, clang-tidy, clang-format, GoogleTest, Catch2, or Modern C++ (C++11-23) language patterns. Provides comprehensive C++ ecosystem patterns and best practices.

Add a standard Purpose comment above each pure virtual method declaration in C++ interface header files (.h/.hpp). Use when asked to batch annotate interface classes or enforce a consistent comment block above `virtual ... = 0;` declarations.

'Captures writing style/voice into AUTHOR_VOICE.md so AI can write like the user. Use when asked to match tone, write like me, replicate voice, or capture writing style for content generation.'