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ShunsukeHayashi AI Skills

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Explorez les skills IA publiés de ShunsukeHayashi et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

75

Étoiles des dépôts des skills indexés

1,117

Forks du dépôt

648

Moyenne des étoiles par skill indexé

15

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

75 skills

Explorer

GitHub

tmux-iterm2-integration

ShunsukeHayashi

Miyabi tmux マルチエージェント・オーケストレーションとiTerm2プロファイル統合。Agent別カラーテーマ、状態監視、自動プロファイル切り替えを提供。

GitHub

mcp-context-optimizer

ShunsukeHayashi

Optimize MCP tool context loading through progressive disclosure and hierarchical indexing. Use when working with large MCP tool sets (e.g., Miyabi's 172 tools) to prevent context window bloat. Triggers include...

GitHub

entity-relation-based-documentation

ShunsukeHayashi

Generate documentation based on Miyabi's Entity-Relation Model (14 entities, 39 relationships). Use when documenting features, updating architecture docs, or explaining how components work.

GitHub

skill-creator

ShunsukeHayashi

Create new Claude Skills for Miyabi project. Use when building custom skills, packaging workflows, or extending Claude's capabilities. Triggers on "create skill", "make skill", "new skill", "スキル作成", "スキ...

GitHub

sequential-thinking

ShunsukeHayashi

Structured reasoning tools for complex problem analysis with observation, hypothesis, analysis, and conclusion steps. Use when analyzing complex problems, debugging difficult issues, or making important decisio...

GitHub

github-integration

ShunsukeHayashi

GitHub API integration for issues, pull requests, workflows, and repository management. Use when working with GitHub issues, PRs, releases, or CI/CD workflows.

GitHub

kubernetes-operations

ShunsukeHayashi

Kubernetes cluster operations including pods, services, deployments, and logs. Use when managing Kubernetes workloads, debugging pod issues, or checking cluster status.

GitHub

log-analysis

ShunsukeHayashi

Log file analysis including reading, searching, filtering, and pattern matching. Use when investigating issues in logs, searching for errors, or analyzing application behavior.

GitHub

system-monitoring

ShunsukeHayashi

System resource monitoring including CPU, memory, disk, and network statistics. Use when checking system health, diagnosing performance issues, or monitoring resources.

GitHub

process-management

ShunsukeHayashi

Process management including listing, finding, killing processes and managing tmux sessions. Use when managing running processes, investigating resource usage, or working with terminal multiplexers.

GitHub

docker-management

ShunsukeHayashi

Docker container and image management including logs, stats, and compose operations. Use when managing Docker containers, debugging container issues, or working with Docker Compose.

GitHub

network-diagnostics

ShunsukeHayashi

Network connectivity diagnostics including ping, DNS lookup, port scanning, and HTTP requests. Use when debugging network issues, checking connectivity, or testing endpoints.

GitHub

git-operations

ShunsukeHayashi

Git version control operations including status, branches, commits, diffs, and worktree management. Use when working with git repositories, reviewing changes, or managing branches.

GitHub

bug-hunter

ShunsukeHayashi

Investigate and fix bugs systematically. Use when debugging issues or tracing errors.

GitHub

workflow-builder

ShunsukeHayashi

Design automation workflows and pipelines. Use when creating CI/CD, task automation, or process flows.

GitHub

daily-reporter

ShunsukeHayashi

Generate daily operation reports automatically. Use when creating EOD reports or summarizing work.

GitHub

code-reviewer

ShunsukeHayashi

Review code for bugs, security issues, and best practices. Use when checking PRs or analyzing code quality.

GitHub

article-writer

ShunsukeHayashi

Generate SEO-optimized articles with proper structure. Use when creating blog posts or documentation.

GitHub

skill-creator

ShunsukeHayashi

Create new Claude Code skills with proper structure. Use when building custom skills or automating workflows.

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.