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

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.

Type mapping reference for OpenAPI formats to TypeScript core types

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.

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.

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.

Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection

Find and visualize correlations between variables in datasets. Use for data exploration, feature selection, or identifying relationships between columns.

Generate CORS configuration for API cross-origin access control.

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.

Cosmo Electronics MPN encoding patterns, suffix decoding, and handler guidance. Use when working with Cosmo optocouplers or CosmoHandler.

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.

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

General consultation with both Codex (GPT-5.2) and Gemini for questions, opinions, and analysis.

Multi-perspective analysis with both Codex and Gemini, each exploring for/against/neutral viewpoints for comprehensive evaluation.

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.

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

Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse perspectives arguing creatively.

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).

Riehl-Shulman covariant fibrations for dependent types over directed

Generate a voice-matched cover letter for a specific job. Analyzes your writing samples and creates a personalized letter that sounds like you.

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.

Coverage policy - 90% requirement and exclusion rules

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.

C++ development guidelines for modern C++17/20 projects. Use when creating C++ classes, functions, headers, or working with CMake, templates, smart pointers, RAII, memory management, STL containers, multithreading, or C++ best practices. Covers project structure, modern C++ idioms, build systems, testing with GoogleTest/Catch2, and performance considerations.

C++20 specialist with expertise in modern C++ features, performance optimization, and system programming

Expert on K1810VM86 (Intel 8086) CPU architecture for ES-1841. Provides guidance on registers, instruction decoding, memory segmentation, interrupts, bus cycles, and x86-16 behavior.

Use when symfony cqrs and handlers

This skill provides guidance for cracking 7z archive password hashes. It should be used when tasks involve extracting hashes from password-protected 7z archives, selecting appropriate cracking tools, and recovering passwords through dictionary or brute-force attacks. Applicable to password recovery, security testing, and CTF challenges involving encrypted 7z files.

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Crane provides comprehensive Aerodrome v1 and Slipstream integration with services, stubs, and test infrastructure.

Crane provides comprehensive Balancer V3 integration including pool DFPkgs, vault awareness, authentication, and test infrastructure.

Crane provides Camelot V2 integration with service library, stubs, and test infrastructure. Camelot differs from standard Uniswap V2 forks by supporting asymmetric (directional) fees.

Crane uses NatSpec combined with AsciiDoc include-tags for accurate, extractable documentation.

Crane uses structured testing patterns with TestBase contracts, Behavior libraries, and Handler contracts for comprehensive coverage.