「improvement」の検索結果

Structured code review covering style, readability, and security concerns with actionable feedback. Use when reviewing pull requests or merge requests to identify issues and suggest improvements.

日本語の概要は準備中です。原文の説明を表示しています。

3 parallel agents explore codebase improvements via GF(3) balanced prime geodesics

日本語の概要は準備中です。原文の説明を表示しています。

Purpose: Standardize how stakpak designs and optimizes AWS architectures. Scope: Greenfield: design new infrastructure. Brownfield: analyze existing architectures and propose improvements.

日本語の概要は準備中です。原文の説明を表示しています。

Use when creating a new Claude Code plugin from scratch — orchestrates prerequisite check, user discussion, parallel research, design with verification, atomic implementation, multi-layer validation, documentation, and final verification. For existing plugin improvement, use /plugin-creator:plugin-lifecycle instead.

日本語の概要は準備中です。原文の説明を表示しています。

Analysis criteria, transformation patterns, output format, and validation checklist for refactoring Claude Code agent prompt files. Load this skill when preparing to run the subagent-refactorer agent or when reviewing agent prompt files for structural, model optimization, or instruction quality improvements.

日本語の概要は準備中です。原文の説明を表示しています。

Bash 5.3 release features and improvements with practical examples. Use when working with Bash 5.3 features, new command substitution, GLOBSORT, loadable builtins, or when user asks about Bash 5.3 changes, new features, or version-specific capabilities.

日本語の概要は準備中です。原文の説明を表示しています。

Agentskill kaizen plugin documentation index. Load when needing to read about cross-platform notes, improvement plans, or DuckDB integration.

日本語の概要は準備中です。原文の説明を表示しています。

Bash 5.1 release features and improvements with practical examples. Use when working with Bash 5.1 features, epoch time variables, redirection enhancements, or when user asks about Bash 5.1 changes, new features, or version-specific capabilities.

日本語の概要は準備中です。原文の説明を表示しています。

Start an authorised Anabasis v2 campaign through its one command, which asks the log before each move whether the move can report anything, or stop a named run and release what it held. Use when the operator asks to start, launch, resume or stop a campaign or a run, to check whether a campaign is ready for its next move, or why a move was refused. Owns the start and the stop; run-improvement-campaign reads the table, and whole-run-investigation reads what a run did.

日本語の概要は準備中です。原文の説明を表示しています。

Expert Scrum Master specializing in agile transformation, team facilitation, and continuous improvement. Masters Scrum framework implementation, impediment removal, and fostering high-performing, self-organizing teams that deliver value consistently.

日本語の概要は準備中です。原文の説明を表示しています。

Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence. Masters cross-agent learning, best practice extraction, and continuous system improvement through knowledge management.

日本語の概要は準備中です。原文の説明を表示しています。

Expert chaos engineer specializing in controlled failure injection, resilience testing, and building antifragile systems. Masters chaos experiments, game day planning, and continuous resilience improvement with focus on learning from failure.

日本語の概要は準備中です。原文の説明を表示しています。

Rewrite and audit SEO page titles, title tags, MDX frontmatter titles, H1 alignment, and bulk title improvements. Use when the user mentions titles, title tags, SERP titles, metadata titles, SEO titles, CTR, truncation, or asks to improve titles across pages.

日本語の概要は準備中です。原文の説明を表示しています。

Contribute documentation improvements to an OSS repo. Identifies doc gaps, studies the docs system, and verifies accuracy against source code. Use when contributing documentation to an open source project, fixing outdated setup instructions, adding missing API docs, or improving README clarity. Not for writing docs for your own project — this is for contributing docs to someone else's repo.

日本語の概要は準備中です。原文の説明を表示しています。

Skill Optimization: Auto Research. Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive UI design guidance based on Refactoring UI principles covering design personality, color theory, layout strategy, visual hierarchy, typography, spacing, mobile-first responsive design, and writing copy that doesn't read like AI wrote it. Use this skill whenever the user is creating new pages, building components, making design additions or changes, reviewing UI code, asking about design decisions (colors, fonts, spacing, layout), writing or editing interface copy, or discussing visual improvements. Trigger for any design-related conversation including "how should this look", "what color", "font size", "spacing", "layout", "responsive", "mobile", "this copy", "headline", "button text", "microcopy", or when reviewing/critiquing existing interfaces.

日本語の概要は準備中です。原文の説明を表示しています。

An ASE skill built around ACF Extended, the WordPress enhancement suite for Advanced Custom Fields that adds field types, admin improvements, front-end forms, options pages, and developer tooling. It is a practical fit for agents working inside complex WordPress content models and custom field workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzes Remotion compositions for performance issues and provides optimization recommendations. Identifies expensive computations, unnecessary re-renders, large assets, memoization opportunities, and architecture improvements. Use when optimizing render times or when asked to "improve performance", "speed up renders", "optimize Remotion video".

日本語の概要は準備中です。原文の説明を表示しています。

Develop evidence-backed structural and architectural security hardening proposals from vulnerability disclosures, supplied findings, incident or assessment documents, source code, or a completed Codex Security scan. Use when a user asks for systemic improvements, alternatives beyond per-finding patches, before-and-after security architecture views, engineering tradeoff analysis, or an implementation-ready plan for a selected hardening option. Also use automatically after a Codex Security scan with reportable findings when the top-level scan workflow requests final-report hardening guidance.

日本語の概要は準備中です。原文の説明を表示しています。

Produces a rigorous, forward-looking technical audit with severity ratings and improvement directions.

日本語の概要は準備中です。原文の説明を表示しています。

Structured retrospective after completing a delivery increment or diamond. Captures learning for continuous improvement.

日本語の概要は準備中です。原文の説明を表示しています。

Apply MCAF agile-delivery guidance for backlog quality, roles, ceremonies, and engineering feedback. Use when defining how the team plans, tracks work, and turns feedback into durable improvements.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluates target company operations with management assessment, systems review, process maturity, and improvement opportunity identification. Use when conducting ops DD, assessing operational risk, or identifying value creation levers.

日本語の概要は準備中です。原文の説明を表示しています。

Identifies governance-related catalysts with board refreshment, compensation reform, and shareholder proposal analysis. Use when analyzing governance catalysts, evaluating shareholder proposals, or assessing governance improvement potential.

日本語の概要は準備中です。原文の説明を表示しています。