Use after implementing features - 7-criteria code review with MANDATORY artifact posting to GitHub issue; blocks PR creation until complete
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 →Use after implementing features - 7-criteria code review with MANDATORY artifact posting to GitHub issue; blocks PR creation until complete
Deep comprehensive system status analyzer that provides honest truth reporting about entire Pomo-Flow application health, performance, and integrity
Perform thorough test review for the specified test files or directories.
Build with Solana compressed NFTs (cNFTs) - Merkle trees, minting at scale, transfers, and metadata. Use when creating large NFT collections or reducing mint costs.
Pressure births diamonds, stars, and insights. Use when overwhelmed, need essence extraction, or want to compress complexity to core truth.
computer-scientist-analyst
Claude Computer Use tool integration for desktop automation. Enables Claude to interact with computer environments through screenshots, mouse control, keyboard input, and application automation in sandboxed environments.
End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review
Expert assistant for provisioning charm development and testing environments using concierge. Use when setting up development machines, bootstrapping Juju controllers, installing craft tools (charmcraft, snapcraft, rockcraft), or preparing test environments. Keywords include concierge, provision, development environment, Juju bootstrap, LXD, MicroK8s, K8s, craft tools, prepare, restore.
Comprehensive guide to concurrency models, throughput optimization, worker pools, task queues, and scaling strategies for high-performance applications
Go concurrency safety review. Use when checking goroutines, channels, race conditions, or synchronization. Detects goroutine leaks, deadlocks, race conditions, and unsafe channel operations.
Develop rigorous testing methodologies that capture concurrency-related defects and regressions.
conda-forge-expert
Use when tests have race conditions, timing dependencies, or inconsistent pass/fail behavior - replaces arbitrary timeouts with condition polling to wait for actual state changes, eliminating flaky tests from timing guesses
Determines which files and dependencies to generate based on application type (standalone vs micro-frontend). Controls conditional features.
Complete workflow for conducting thorough code reviews with structured feedback
Conductor is a workflow methodology that transforms Claude Code into a project manager following a strict protocol: **Context -> Spec & Plan -> Implement**.
Context-Driven Development skill for projects using Conductor. Use this skill when you detect a `conductor/` directory in the project, when working on tasks defined in a `plan.md` file, or when the user asks about tracks, specs, or plans. Automatically applies TDD workflow, tracks task completion, and follows the spec-driven methodology.
Conductor implements Context-Driven Development, a methodology that treats project context as a first-class artifact alongside code. This skill provides essential knowledge about the Conductor framewo
Git-aware undo by logical work unit (track, phase, or task)
This skill should be used when writing official conference-style reviews for research papers as if from a top-tier systems conference reviewer. Use when the author wants a realistic, formal peer review with scores, strengths, weaknesses, and detailed feedback following standard conference review formats.
Generate configuration files for development tools
Generate master configuration files in ai-state/config that map web app use cases, code components, and user interactions to their corresponding config structure, enabling rapid discovery and AI-driven propagation
Interactive git configuration setup
config-helper
Fixes configuration hygiene issues including gitignore patterns, ESLint config duplication, and hook scripts. Use when encountering backup files in repo, missing gitignore patterns, or config maintenance issues.
Validate config at startup, secrets in memory only. Never read config during requests, never store secrets in env vars. Use node-env-resolver for multi-source config.
Security review of configuration files and infrastructure as code.
Configuration module patterns for LlamaFarm. Covers Pydantic v2 models, JSONSchema generation, YAML processing, and validation.
Automatically validate DAPR configuration files (dapr.yaml, component YAML files) when they are created or modified. Checks for schema compliance, missing required fields, invalid values, and common misconfigurations. Use when validating DAPR configs, reviewing component setup, or before deployment.
confighub-usage-guide
Ubuntu server configuration via cloud-init and systemd. Use when writing cloud-init YAML, configuring systemd services, setting up nginx, or troubleshooting VM configuration issues.
Set up or edit plugin configuration interactively
Configure connection pool sizing for optimal performance. Use when configuring DATABASE_URL or deploying to production.
configuring-dapr-pubsub
Use when setting up GitHub Actions CI/CD for pull request checks - provides workflow templates for Python, JavaScript, and polyglot projects that run quality gates on every PR
Java stack configuration - Maven, JUnit 5, Spotless, SpotBugs, JaCoCo with 96% coverage threshold
JavaScript/TypeScript stack configuration - pnpm, prettier, eslint, vitest with 96% coverage threshold
This skill guides working with Neovim configuration including testing changes headlessly, managing plugins with lazy.nvim, configuring LSP servers, and troubleshooting startup errors. Use this when modifying nvim config files or debugging nvim issues.
Configure nginx for static sites, reverse proxying, load balancing, SSL/TLS termination, caching, and performance tuning. When setting up web servers, application proxies, or load balancers, this skill provides production-ready patterns with modern security best practices for TLS 1.3, rate limiting, and security headers.
Python stack configuration - uv, ruff, mypy, pytest with 96% coverage threshold
Atlassian Confluence integration for enterprise documentation. Create and update pages via API, manage spaces and permissions, handle content migration, and sync between Markdown and Confluence.
Atlassian Confluence expert for creating and managing spaces, knowledge bases, documentation, planning, product discovery, page layouts, macros, templates, and all Confluence features. Use for documentation strategy, space architecture, content organization, and collaborative knowledge management.
ksqlDB stream processing expert. Covers SQL-like queries on Kafka topics, stream and table concepts, joins, aggregations, windowing, materialized views, and real-time data transformations. Activates for ksqldb, ksql, stream processing, kafka sql, real-time analytics, windowing, stream joins, table joins, materialized views.
Schema Registry expert for Avro, Protobuf, and JSON Schema management. Covers schema evolution strategies, compatibility modes, validation, and best practices for managing schemas in Confluent Cloud and self-hosted Schema Registry. Activates for schema registry, avro, protobuf, json schema, schema evolution, compatibility modes, schema validation.
Generate phonologically consistent constructed languages for fiction. Use when you need naming languages, alien speech, or fantasy tongues without deep linguistics knowledge.
Implementing and optimizing database connection pools for high-performance applications.
Connection profile and state schema design rules and core profile selection
Use when working with connector components - headers, sockets, wire-to-board, board-to-board connectors. Includes adding patterns, parsing connector MPNs, extracting pin count, pitch, and series information.
Diagnostic telemetry system that tracks internal state variables (prediction accuracy, surprise, confidence, integration, affective signals) across conversation turns. Use when systematic introspection or state-behavior coupling analysis would benefit response quality, or when explicitly requested for self-monitoring tasks.