issue-splitter
Split complex issues into smaller, implementable sub-issues. Called automatically when ComplexityGate determines an issue needs splitting.
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Split complex issues into smaller, implementable sub-issues. Called automatically when ComplexityGate determines an issue needs splitting.
Review and score engineering specs against a quality rubric. Use when evaluating a spec draft before implementation to ensure it meets quality standards and identifies potential issues.
Reviews code quality analyst findings. Validates issues are real, severity is appropriate, and suggested refactorings are practical.
Executes behavioral API tests by spinning up the service and making real HTTP requests. Validates status codes, response structure, and data correctness.
Review and score engineering specs against a startup-focused quality rubric. Penalize over-engineering and reward simplicity.
Champion prioritization of discovered opportunities. Advocates for the most impactful, actionable items based on team velocity, business value, and technical feasibility.
Implementation Agent: Full TDD workflow in a single context window. Writes tests, implements code, and iterates until all tests pass.
Chief Architect review - critically evaluate peer feedback on an engineering spec. Integrate valid suggestions, push back on scope creep, and maintain alignment with the PRD. Enforce startup simplicity.
Analyze test failures and suggest fixes for Feature Swarm verification. Use when tests fail during the verification phase to diagnose root cause and determine if automatic recovery is possible.
Generate GitHub issues from an approved engineering specification. Use to break down a spec into implementable, atomic tasks with dependencies, sizing, and labels.
Validate generated GitHub issues for completeness and implementability. Reviews each issue for clear scope, actionable acceptance criteria, and sufficient context for implementation.
Synthesizes analyst findings with critic feedback. Produces final recommendations and generates TDD-compatible refactor plans for approved issues.
Validates API contracts by discovering consumers and ensuring responses match their expectations. Detects breaking changes.
This skill should be used when the user needs to integrate with Hubble Network Platform API for IoT device management, packet data retrieval, webhook configuration, metrics tracking, user management, or billing...
Testing patterns for litefs-py and litefs-django. Use when writing tests, setting up fixtures, understanding test organization, or configuring pytest marks. Triggers: test, pytest, unit test, integration test,...
Neovim設定の相談と編集を行うスキル。プラグインの追加、キーバインドの設定、LSPの設定、UIのカスタマイズなど、init.luaの編集全般をサポートします。
Godot Engine game development. Use for Godot projects, GDScript/C#, scenes (.tscn), Resources, signals, UI, rendering, and macOS/iOS export.
Resolve disagreements between agents or approaches using test-based adjudication. Use when agents disagree, when multiple valid approaches exist, when the user asks "which approach", or when making architectura...
Retrieve relevant context from past sessions before starting implementation. Use when beginning work on a task, when the user describes what to build, when about to write significant code, or when stuck on a pr...
Parallel execution orchestrator. Picks up existing beads, computes parallel tracks, spawns worker agents, coordinates via Agent Mail, runs calibration at phase boundaries.
Find and safely claim the next Beads task with conflict checking. Use when looking for work, when finishing a task and need the next one, when the user mentions "next task" or "what should I work on", or when c...
Decompose a phase plan into atomic beads and sub-beads. Use when breaking down a phase into tasks, when the user mentions "decompose" or "break down", when creating beads from a plan, or when structuring work f...
Bug scanning with UBS (Ultimate Bug Scanner). Use before commits, when scanning for bugs, when the user mentions "ubs", "bugs", "scan", or "code quality".
Parallel code search with Warp-Grep MCP. Use for codebase discovery, understanding how things work, data flow analysis, or when the user asks "how does X work" about the codebase.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.