corder-test-generation

Pre-computed action manuals for browser automation. Agents receive structured page information instead of parsing entire HTML.

For fetching Rust/crate information, use this priority order:

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

IIoT database seeding CLI built with @gbg/ctl

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Orchestrates on-demand generation of crate-specific skills based on project dependencies.

Check and fix missing reference files in dynamic skills.

Base classes, error handling, utilities, configuration, and dependency injection patterns for Flutter Clean Architecture

Pure function patterns, Zod schemas, database independence, calculation functions for @repo/core

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

Core principles and project structure for React 19 SPA development. Covers stack overview, project organization, agent execution rules, and authoritative sources. Use when planning new projects, onboarding, or reviewing architectural decisions.

---name: core-python-best-practices

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

Code review and quality assurance specialist for ensuring code quality, security, and maintainability

Guide for creating effective skills with specialized knowledge and workflows.

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Detailed development workflow patterns, checklists, and standards. Auto-loads for complex tasks, planning, debugging, testing, or when explicit patterns are needed. Contains session protocols, git conventions, security checklists, testing strategy, and communication standards.

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.

Core Dump Analysis skill for the ikigai project

CoreML diagnostics - model load failures, slow inference, memory issues, compression accuracy loss, compute unit problems, conversion errors.

Optimize CoreML models for iOS and macOS deployment. Covers quantization, palettization, pruning, Neural Engine targeting, compute unit selection, and performance profiling. Use when converting ML models to CoreML, optimizing model size/latency, debugging Neural Engine issues, or benchmarking on-device inference.

CoreML API reference - MLModel lifecycle, MLTensor operations, coremltools conversion, compression APIs, state management, compute device availability, performance profiling.

Use this skill when working with any UI code

将文本、URL或文件内容自动转换成美观的Cornell笔记HTML格式，包含Cue Column、Notes Column和Summary三部分，并自动更新index.html索引

Master Kotlin coroutines with suspend functions, flows, channels, and structured concurrency for building async applications.

Handle corporate invoice and reimbursement requests. Use when a customer needs an invoice, VAT or tax info, or documentation for company reimbursement.

Manage corporate records and minute books

Gap detection and knowledge mapping techniques for comparing BRD requirements against corpus coverage. Includes SurrealQL queries for analyzing sources, entities, and topic coverage, plus prioritization frameworks for research task generation.

Guide Socratic discovery of research questions and analytical approaches for text corpus analysis

Systematically investigate large corpus sections (100GB+) using stratified sampling, pattern recognition, and computational verification. Produces comprehensive section analyses with metadata schemas, chunking strategies, and RAG integration recommendations. Use when analyzing large datasets, investigating archive structures, studying corpus organization, conducting investigation and study tasks, or documenting dataset characteristics for RAG pipeline design.

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.

Operate the Agent Hive Cortex orchestration engine. Use this skill when running Cortex commands, analyzing project dependencies, finding ready work, understanding the orchestration system, or troubleshooting Cortex issues.

Automatic session tracking and memory system for Claude Code. Activates when working in git repositories to track file changes, commits, and session context. Creates .cortex_log.md (session history), .cortex_status.json (current state), and .cortex_handoff.md (next steps) for session continuity across conversations. Use when needing persistent memory, session handoffs, or work history tracking.

Expert guidance for Cosmian Key Management System including key generation, certificate management, encryption operations, access policies, and KMS CLI operations. Use this when working with Cosmian KMS, cryptographic key management, or Cosmian-specific PKI operations.

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.

Guidelines for estimating token usage and costs per task and phase. Reference this skill when planning to provide accurate budget estimates.

Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.

| Atributo | Valor |

Estimate and control costs for Solana apps: RPC, indexing, storage, bots, and on-chain fees. Use for budgeting and scaling.

1. 코딩 테스트 문제 풀이를 제출하면, 코드를 검토합니다.

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-model AI council for actionable project advice. Leverages Gemini 3 Flash and GPT-5.2 skills in parallel, then synthesizes through an Opus Judge for stage-appropriate, non-overkill recommendations. Use when seeking architectural guidance, code review synthesis, or implementation planning.

Multi-perspective analysis methodology for complex decisions. Dynamically generates relevant expert viewpoints, consults each perspective systematically, and synthesizes insights into balanced recommendations. Use when users face decisions with multiple considerations, tradeoffs, or competing values.

Overview of 7 core perspectives with variable naming system. Use when need to understand the full council structure, adapt perspective names to domains, or see the complete framework.