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概要と使いどころ
Hoyeon developer community scan workflow for Codex. Use when the user invokes "$hoyeon-dev-scan" or asks for developer reactions, community opinions, or cross-community sentiment on technical topics. This adapter loads the canonical dev-scan skill and follows its Codex runtime surface.
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 when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.
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。
Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions via show-me-your-work. Use for /figure-it-out, 'figure it out', a large migration, or when no narrower playbook applies.
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。
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.
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。
Keep a reviewable decision trail for long-running or unattended work: a TSV log with one row per decision (what, why, evidence, result). Local by default; commit it when a reviewer needs the trail to trust the result. Use for /show-me-your-work, autonomous or multi-phase runs, or work a human reviews after stepping away.
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。
Build detailed ideal customer profiles with pain points, objections, buying triggers, and messaging angles. Includes community research to find where ICPs gather online and extract their exact language. Use when researching audiences, creating buyer personas, or developing targeted messaging.
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。
Generate changelog entries and GitHub releases from git history. Categorizes commits into features, fixes, breaking changes, and docs. Supports conventional commits, PR-based grouping, and semantic versioning. Creates formatted CHANGELOG.md entries and GitHub releases.
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 content marketing toolkit with brand voice analysis, SEO optimization scripts, content frameworks, social media strategy, and content calendar planning. Use when writing blog posts, creating social media content, analyzing brand voice, optimizing SEO, planning content calendars, or developing content strategy. For deep SEO writing optimization, see the seo-content-writer skill.
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。
Google Ads platform expertise. Audit campaigns, keywords, audiences, bidding, and conversion tracking. Use when the user asks about Google Ads, PPC, search advertising, Performance Max, Shopping ads, display campaigns, YouTube ads, or paid search optimization.
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。
Ember.js is an opinionated JavaScript framework for large single-page web apps, built on convention over configuration: Glimmer components, tracked state, nested routing, services, Ember Data (WarpDrive) and the ember-cli build tool. Use when someone asks to "build an Ember app", "create an Ember component or route", "upgrade Ember", "use Ember Data", or "convert Ember templates to .gjs/.gts".
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。
DuckDB is an in-process analytical database that runs embedded inside your application with zero external dependencies. It can query CSV, Parquet, and JSON files directly without loading them into tables first, making it ideal for local data exploration, ETL pipelines, and analytical workloads where spinning up a server is overkill.
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。
You are an expert in Crawl4AI, the open-source web crawler built for AI applications. You help developers extract clean, structured data from websites for LLM training, RAG pipelines, and content analysis — with automatic markdown conversion, JavaScript rendering, CSS-based extraction, LLM-powered structured extraction, and session management for multi-page crawling.
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。
Context7 fetches current, version-specific documentation and code examples for software libraries and hands them to an AI coding agent, so generated code matches the library version in use instead of stale training data. Use when someone says "use context7", "get the latest docs for this library", "look up the current API", "the agent keeps using a deprecated method", "set up Context7 in Claude Code or Cursor", or asks how to call a framework whose API changed recently. Covers the ctx7 CLI, the MCP server and its two tools, library IDs and version pinning, API keys and rate limits, and the REST API.
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。
Makes working code easier to read and change without altering what it does, and proves the behaviour stayed the same. Use when someone says "simplify this", "clean up this function", "this file is a mess", "reduce the complexity", "refactor for readability", "tidy my diff before the PR", or when a linter reports high cyclomatic complexity or deep nesting. Covers pinning current behaviour with characterization tests, measuring complexity, choosing a named refactoring, applying it in small verified steps, and reporting suspected bugs found on the way instead of fixing them silently.
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。
You are an expert in Chi, the lightweight, idiomatic Go HTTP router built on `net/http`. You help developers build composable HTTP services using Chi's middleware stack, route groups, URL parameters, sub-routers, and context-based request scoping — providing Express-like ergonomics while staying 100% compatible with Go's standard library.
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。
Browser Use is an open-source Python library that lets an LLM agent drive a real browser to navigate sites, fill forms, click and extract data from a plain-English task. Use when the user wants an AI agent to automate a website, scrape pages that need clicking or login, return structured data from the web, add browser tools to a coding agent, or run browser agents locally or in the cloud.
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。
Check for data breaches and credential leaks using HaveIBeenPwned API and other sources. Use when: checking if an email or domain is in a known breach, assessing corporate credential exposure, password hygiene audits, or pre-engagement phishing simulation scoping.
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。
You are an expert in Bolt.new by StackBlitz, the AI-powered full-stack development environment that runs entirely in the browser. You help developers go from idea to deployed app in minutes using natural language prompts — Bolt generates complete applications with frontend, backend, database, and deployment, all running in a WebContainer without local setup.
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。
Better Stack (formerly Better Uptime + Logtail) is an observability platform that combines uptime monitoring, log management, incident response with on-call escalation, and status pages. Use when a user asks to set up uptime monitors or heartbeat monitoring for cron jobs, create escalation policies, send logs with @logtail/node or the Pino transport, manage Better Stack through its API or Terraform provider, or publish status page updates.
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。
Build and trace AI agents in Python with AgentScope, an open-source agent framework with a ReAct loop, tools, middleware, team pipelines and OpenTelemetry tracing. Use when building production agents that need observability, debugging an agent's model and tool calls, capping token spend per reply, or coordinating a leader with specialist agents.
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。
Ably is a hosted realtime messaging service: clients publish and subscribe to named channels over WebSockets, see who is present, replay message history, and resume after a dropped connection. Use when a user asks to "add realtime updates", "push live notifications to the browser", "show who is online", "add a chat room with typing indicators", "publish from a serverless function", or "authenticate Ably clients without exposing the API key". Covers the ably 2.x JavaScript SDK (Realtime and REST), JWT token authentication, presence, history and rewind, batch publishing, and the @ably/chat 1.x SDK.
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。
3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.
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。
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember things". Covers file-based memory (MEMORY.md), SQLite with embeddings, vector databases (ChromaDB, Pinecone), semantic search, memory consolidation, and automatic context injection.
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。
OWASP Amass maps an organization's external attack surface: it finds subdomains, IP addresses, netblocks and ASNs from passive sources and active DNS techniques and stores them in an asset database. Use when: comprehensive subdomain enumeration, attack surface discovery, finding forgotten hosts before a pentest, tracking newly appeared assets, building a graph of target infrastructure.
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。