tdd
Test-Driven Development workflow with RED-GREEN-REFACTOR, lore from Kent Beck, Michael Feathers, and Ousterhout's counterpoint
Découvrez les skills Documentation, comparez leurs dépôts et consultez leurs instructions.
Test-Driven Development workflow with RED-GREEN-REFACTOR, lore from Kent Beck, Michael Feathers, and Ousterhout's counterpoint
CI/CD publishing workflow for npm packages using Changesets + npm Trusted Publishers (OIDC). Use when setting up automated npm publishing for monorepos, configuring GitHub Actions for releases, troubleshooting...
Guide for creating effective agent skills. Use when you want to create a new skill, improve an existing skill, or learn best practices for skill development. Helps codify learned patterns into reusable, discove...
Implicit feedback scoring, confidence decay, and anti-pattern detection. Use when understanding how the swarm plugin learns from outcomes, implementing learning loops, or debugging why patterns are being promot...
Context-efficient PR comment triage. Evaluate, decide, act. Fix important issues, resolve the rest silently.
Multi-agent coordination patterns for OpenCode swarm workflows. Use when work benefits from parallelization or coordination.
Always-on rule-oriented guidance for claude-plugin agents. Use to align behavior, tool usage, and model-specific defaults (GPT-5.2-code vs Opus 4.5) while avoiding deprecated bd/cass references.
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NO...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
Create effective skills for OpenCode agents. Load FIRST before writing any SKILL.md. Provides required format, naming conventions, progressive disclosure patterns, and validation. Use when building, reviewing,...
Maps and documents codebases of any size by orchestrating parallel subagents. Creates docs/CODEBASE_MAP.md with architecture, file purposes, dependencies, and navigation guides. Updates CLAUDE.md with a summary...
【HelloAGENTS】显式调用入口。使用 /helloagents 或 $helloagents 激活。
Solution design phase detailed rules; read when entering solution design; includes solution ideation, task breakdown, risk assessment, solution package creation
Local environment management - run SQL queries, set up fake payments, reset test data. Use when the user needs help with local database operations or test data setup.
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
Execute plan files by launching multiple parallel subagents to complete tasks simultaneously. Triggers on explicit "/parallel-task" commands.
Use when implementing any feature or bugfix, before writing implementation code
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Use when executing implementation plans with independent tasks in the current session
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Apply private modules with public re-exports pattern for clean API design. Includes conditional visibility for docs and tests. Use when creating modules, organizing mod.rs files, or before creating commits.
Write and format Rust documentation correctly. Apply proactively when writing code with rustdoc comments (//! or ///). Covers structure (inverted pyramid), intra-doc links (crate:: paths, reference-style), cons...
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.