infra-deployer
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →infra-deployer
Comprehensive infrastructure engineering covering DevOps, cloud platforms, FinOps, and DevSecOps. Platforms: AWS (EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation), Azure basics, Cloudflare (Workers, R2, D1, Pages), GCP (GKE, Cloud Run, Cloud Storage), Docker, Kubernetes. Capabilities: CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), GitOps, infrastructure as code (Terraform, CloudFormation), container orchestration, cost optimization, security scanning, vulnerability management, secrets management, compliance (SOC2, HIPAA). Actions: deploy, configure, manage, scale, monitor, secure, optimize cloud infrastructure. Keywords: AWS, EC2, Lambda, S3, ECS, EKS, RDS, CloudFormation, Azure, Kubernetes, k8s, Docker, Terraform, CI/CD, GitHub Actions, GitLab CI, Jenkins, ArgoCD, Flux, cost optimization, FinOps, reserved instances, spot instances, security scanning, SAST, DAST, vulnerability management, secrets management, Vault, compliance, monitoring, observability. Use when: deploying to AWS/Azure/GCP/Cloudflare, setting up CI/CD pipelines, implementing GitOps workflows, managing Kubernetes clusters, optimizing cloud costs, implementing security best practices, managing infrastructure as code, container orchestration, compliance requirements, cost analysis and optimization.
Environment variable conventions and security practices for Next.js projects. This skill should be used when setting up environment configuration, managing secrets, or establishing security patterns for a new project.
infra-permission-manager
infra-security-reviewer
infra-tester
Create Terraform/Pulumi/CloudFormation for multi-cloud.
Optimize cloud infrastructure costs through resource rightsizing, reserved instances, spot instances, and waste reduction strategies.
Troubleshooting dependencies, installations, environment issues, and platform-specific problems. Use when facing npm/pip/package errors, installation failures, environment setup issues, or platform compatibility problems.
Infrastructure guidelines for A4C-AppSuite. Covers idempotent Supabase SQL migrations with RLS policies, Kubernetes deployments for Temporal workers, CQRS projections with PostgreSQL triggers, and AsyncAPI contract-first event design. Emphasizes safety, idempotency, and SQL-first development.
Manage network hosts and devices across all UniFi sites. Monitor host status, device configuration, and infrastructure health for comprehensive inventory management.
Set up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
Generate comprehensive network infrastructure reports including health status, performance analysis, security audits, and capacity planning recommendations.
Infrastructure, cloud, and DevOps standards. Use when setting up new projects, configuring cloud resources, or working with IaC.
Use when working with Terraform (.tf, .tfvars), Ansible (playbooks, roles, inventory), Docker (Dockerfile, docker-compose.yml), CloudFormation, or any infrastructure-as-code files — provides validation workflows, tool chains, and common mistake prevention
TMNL Docker infrastructure documentation. Service topology, health checks, troubleshooting. Model-invoked when debugging containers or understanding service architecture.
Generate $HOME/.claude/CLAUDE.md with AI-driven environment detection and advanced configuration options
Creates AI agent task management structure with feature backlog (ai/tasks/), TDD enforcement, and progress tracking. Use when setting up agent-foreman, initializing feature-driven development, creating task backlog, or enabling TDD mode. Triggers on 'init harness', 'setup feature tracking', 'create feature backlog', 'enable strict TDD', 'initialize agent-foreman'.
Initialize and configure local development tooling for TypeScript, Rust, and Python projects including monorepos. Use when setting up linting (ESLint, Biome, clippy, ruff), formatting (Prettier, rustfmt, ruff), type checking (tsc, mypy), testing (Vitest, Jest, cargo test, pytest), Git hooks (lefthook for commit-msg, pre-commit, pre-push), GitHub Actions workflows, package publishing (npm, crates.io, PyPI), version management (Changesets), and automated releases. Covers both single-language projects and multi-language monorepos using Nx + pnpm workspaces.
Scaffold new projects in the JPKB repository with standardized documentation artifacts.
Scaffold projects with agentic coding structure for AI-assisted development.
Imported skill init_skill from langchain
Use to create complete architecture documentation structure. Creates all required architecture documents from templates.
Initialize complete governance framework in a project - creates constitution, roadmap, directory READMEs, and issue/spec templates with guided setup process
Use to set up Obsidian vault and populate it with existing codebase knowledge. Enables context memory for AI development.
This skill automates the initial setup of a new project derived from this template. It leverages AI capabilities to directly modify project metadata and documentation by replacing placeholders, ensuri
Initialize long-running agent projects with environment setup, feature list generation, and progress tracking. Use when starting a new implementation project or setting up an existing codebase for Claude-assisted development. Creates init.sh (dev server script), claude-progress.txt (work log), and docs/features.json (feature list with status tracking).
Comprehensive guide for initializing or reorganizing agent memory. Load this skill when running /init, when the user asks you to set up your memory, or when you need guidance on creating effective memory blocks.
Comprehensive guide for initializing or reorganizing agent memory and project context. Use when setting up a new project, when the user asks you to learn about the codebase, or when you need to create effective memory blocks for project conventions, preferences, and workflows.
Validate NoSQL injection vulnerabilities across MongoDB, Cassandra, CouchDB, Redis, and other NoSQL databases. Test operator injection, JavaScript injection, and query manipulation patterns. Use when testing CWE-943 (Improper Neutralization of Special Elements in Data Query Logic) and related NoSQL injection classes.
Input validation vulnerabilities represent the **most common security flaw** in AI-generated code. According to a 2025 report from Contrast Security:
Build terminal CLI apps using Ink (React for CLIs). This skill should be used when the user wants to create command-line interfaces with React components, terminal UIs, interactive CLI tools, or needs help with Ink components, hooks, and patterns.
Explain and use the Inline CLI (`inline`) for authentication, chats, users, spaces, messages, search, attachments, downloads, JSON output, and configuration. Use when asked how to use the Inline CLI or its commands, flags, outputs, or workflows.
Generate JSDoc/docstrings from code analysis
Use when writing code - ensure complete JSDoc, docstrings, and inline comments assuming documentation will be generated from code
This skill should be used when developing, optimizing, testing, or submitting algorithms for The Innovation Game challenges (3-SAT, CVRP, Knapsack). Use it for algorithm development, performance optimization, local testing, dry-run validation, or submission to earn TIG tokens through improved computational algorithms.
'Extract actionable insights from completed coding sessions. Use when a session completes to capture learnings for future sessions.'
Supabase-style connection UI for managing InsightPulse AI infrastructure (Supabase, Odoo, Superset, MCP servers, PostgreSQL, APIs). Self-hosted connection manager module for Odoo 19 that provides unified connection management, auto-generated configurations, connection testing, and beautiful Kanban interface.
Business intelligence expert - creates actionable insights, visualizations, and executive reports from GabeDA model outputs. Identifies data gaps and recommends new features.
MCPを使用してNext.jsランタイムを検査し、エラー診断、ログ、メタデータ、Server Actionsを確認します。エラーのデバッグ、ルートのチェック、コンポーネントの検査、プロジェクト構造の理解に使用します。
Instruction guide for analyzing Codefresh CI failures. When invoked, IMMEDIATELY follow the step-by-step instructions to extract build IDs, fetch logs, and create a formatted failure report. Use when reviewing recursionpharma PRs with failing CI.
Discovers and indexes Python code in skills, enabling cross-skill imports. Use when importing functions from other skills or analyzing skill codebases.
Create Instagram-specific content strategies for Reels, Stories, feed posts, and growth optimization
Use when adding project dependencies. Defines dependency management rules and language-specific patterns.
Install pre-commit hooks to automatically lint markdown files before commits
This skill creates a complete MkDocs Material project structure for intelligent textbooks. It sets up a Conda virtual environment named 'mkdocs', installs all dependencies, generates mkdocs.yml with all Material theme options, custom CSS for branding, the social_override plugin for custom social media cards, builds the site, and deploys to GitHub Pages. Use this skill when starting a new intelligent textbook project.
Expert management of install.sh (2000+ lines). Use for installation troubleshooting, idempotency checks, secret generation, volume migration, 11 services startup order (including heuristics and semantic), and user onboarding.
Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.
Use when setting up git pre-commit and pre-push hooks - provides simple shell script approach and pre-commit framework method, both calling justfile commands for DRY principle
Use when instruction drift is likely: multi-step tasks, mid-task detours (tooling upgrades), or when agents must consult MCP memory / Skills / sessions and re-anchor repeatedly. Triggers: 'stay on track', 'follow instructions', 'resume main task', 'detour', 'intermediate task done'.