applying-reasoning
Applies structured mental models to solve complex problems. Use when solving architectural decisions, root cause analysis, or strategic planning.
Applies structured mental models to solve complex problems. Use when solving architectural decisions, root cause analysis, or strategic planning.
Test whether assumptions are true before making commitments. Use when assumptions have low certainty and high risk.
Create structured visualizations of stakeholder perspectives (says, thinks, does, feels) to build deep understanding. Use when conducting user research or validating assumptions.
Intelligent issue management and project coordination with automated tracking, progress monitoring, and team coordination. Use for issue creation with smart templates, progress tracking with swarm coordination, multi-agent collaboration, and cross-repository synchronization.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Create, manage, scan, update, and clean up git worktrees for parallel development with protected branch safeguards. Use when working on multiple branches simultaneously, isolating experiments, updating protected branches (main/develop), or when user mentions "worktree", "parallel branches", "feature isolation", "branch cleanup", "worktree status", or "update main/develop".
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Analyze drilling performance and metrics using API 12-digit well numbering system. Use for drilling time analysis, cost benchmarking, well comparison, sidetracks tracking, and drilling efficiency metrics across GOM fields.
Automates git workflow tasks including status checks, branch creation, file staging, conventional commit message generation, and pull request creation with gh CLI. Ensures proper git workflow and commit standards.
Add Polar billing integration for subscriptions and payments. Use when implementing checkout flows, customer portals, or processing payment webhooks.
사용자의 작업 설명을 바탕으로 GitHub 작업 티켓을 자동으로 생성합니다. 프론트엔드[FE], 백엔드[BE], 인프라[INFRA] prefix에 따라 적절한 레포지토리에 티켓을 생성하고, 작업 항목, 완료 기준, 우선순위, 예상 소요 시간을 포함합니다. 기능 티켓이 아닌 개별 작업 단위의 티켓 생성 시 사용합니다.
Use this agent when you need to understand the historical context and evolution of code changes, trace the origins of specific code patterns, identify key contributors and their expertise areas, or analyze patterns in commit history. This agent excels at archaeological analysis of git repositories to provide insights about code evolution and development patterns. <example>Context: The user wants to understand the history and evolution of recently modified files.\nuser: "I've just refactored the authentication module. Can you analyze the historical context?"\nassistant: "I'll use the git-history-analyzer agent to examine the evolution of the authentication module files."\n<commentary>Since the user wants historical context about code changes, use the git-history-analyzer agent to trace file evolution, identify contributors, and extract patterns from the git history.</commentary></example> <example>Context: The user needs to understand why certain code patterns exist.\nuser: "Why does this payment processing co
Deep repository analysis methodology for understanding codebase structure, dependencies, patterns, and change impact. Use when analyzing repositories for customization planning, refactoring, or understanding project architecture.
Commands for viewing, assigning, and updating ticket status on the Guidr GitHub Projects board. Includes workflows for starting, progressing, and completing tickets.
Perform comprehensive code reviews analyzing security, performance, maintainability, and best practices. Use when reviewing code changes, pull requests, or providing code quality feedback.
Collecte et analyse les Pull Requests GitHub avec leurs commentaires d'agents de review IA (CodeRabbit, GitHub Copilot, Codex, etc.). Utilise GitHub CLI pour récupérer les données, extrait les métadonnées des agents avec jq, et génère une structure organisée par PR et par importance dans le dossier .scd du projet. Extensible pour supporter de nouveaux agents de review.
Use `a gh issue-agent` to view and edit GitHub Issues. Use this skill when working with GitHub Issues - viewing issue content, editing issue body/title/labels, or adding/editing comments.