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Enforce canonical paths and prevent file tree anarchy. Use when creating or modifying files to ensure they go to correct locations.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Systematically identify what's missing, unknown, or needs investigation before making changes or decisions. Use proactively when proposing features, implementing changes, or making technical decisions to ensure all critical areas are covered. This skill catches overlooked dependencies, edge cases, and integration points before they become problems. Examples: - "Implement user authentication" → trigger gap analysis (what's the current auth system?) - "Add caching to API" → trigger gap analysis (what caching infrastructure exists?) - "Migrate to TypeScript" → trigger gap analysis (what's the build pipeline?) - "Refactor this module" → trigger gap analysis (what depends on this module?) - "Add new API endpoint" → trigger gap analysis (what endpoints exist, what patterns?)
Detect ambiguous or underspecified research requests and guide through structured clarification questions before executing any research. Use proactively when user requests are vague, lack specificity, missing context, or have unclear goals. This skill prevents wasted research by ensuring intent is crystal clear before any web searches, file reads, or data gathering. Examples: - "Research the codebase" → ❌ Too vague, trigger clarification - "Why is this slow?" → ❌ Missing context (what is "this"?), trigger clarification - "Add a feature" → ❌ Not research, this is implementation - "Investigate authentication flow" → ❌ What specifically about it? Trigger clarification - "Compare React and Vue" → ✅ Specific enough, but still validate dimensions
Evaluate requests, proposals, or decisions from multiple dimensions (technical, business, UX, security, performance, maintainability, etc.) to ensure holistic understanding before proceeding. Use proactively when making technical decisions, choosing solutions, or proposing changes. This skill prevents single-minded thinking and uncovers trade-offs, risks, and opportunities across all relevant aspects. Examples: - "Use Redis for caching" → assess multiple aspects (performance, cost, complexity, ops) - "Add AI to our app" → assess aspects (technical feasibility, user experience, data privacy) - "Refactor to microservices" → assess aspects (benefits, costs, migration complexity, team readiness) - "Implement authentication" → assess aspects (security, UX, integration effort, maintenance) - "Switch to React 19" → assess aspects (benefits, migration cost, breaking changes, learning curve)
Choose the right OpenCode primitive (Command, Skill, Tool, Prompt, CustomTool, Plugin hook) for a given task or workflow. Use proactively when deciding which OpenCode capability to use, or when trying to understand what's available. This skill maps research and development needs to appropriate OpenCode mechanisms, ensuring optimal use of the platform's capabilities. Examples: - "How do I search the codebase?" → select tool (read/grep) - "I need a reusable workflow for feature development" → select command - "How do I intercept file writes?" → select plugin hook - "What primitive should I use for systematic debugging?" → select skill - "I need a custom tool for X" → select CustomTool (if innate tools insufficient)
Create structured, executable research plans with clear phases, checkpoints, and validation criteria. Use proactively when research intent is clear but execution plan is missing. This skill transforms research goals into actionable workflows with defined deliverables, time estimates, and success metrics, ensuring research is systematic and produces useful outputs. Examples: - "Research how to add OAuth" (intent clear, need plan) → trigger workflow planner - "Investigate performance bottlenecks" (intent clear, need plan) → trigger workflow planner - "Analyze codebase architecture" (intent clear, need plan) → trigger workflow planner - "Find best practices for X" (intent clear, need plan) → trigger workflow planner - "Compare technology options" (intent clear, need plan) → trigger workflow planner
| name | brownfield-guard |
| description | Enforce canonical paths and prevent file tree anarchy. Use when creating or modifying files to ensure they go to correct locations. |
TRAP 6 Defense: Prevent File Tree Anarchy
Before creating or moving any file, verify the path follows project conventions. The canonical path map is defined in architecture decision records (ADRs) - consult the current ADR for path definitions.
Never create files matching these patterns:
src/lib/* → Use domain or infrastructure directorieslib/* → Use domain or infrastructure directoriessrc/helpers/* → Use domain-specific modulessrc/utils/*.ts → Move to relevant domain modulePath decisions should reference the project's architecture documentation:
docs/architecture.md for layer definitionsdocs/adrs/ for path conventionsAGENTS.md for quick reference patternsBefore creating/modifying any file:
⛔ BROWNFIELD GUARD VIOLATION
Path: {path}
Reason: {reason}
Convention source: {architecture_doc_path}
ACTION: Consult architecture documentation for correct path.
After file operations, verify with governance scripts:
pnpm governance:imports # Check import path compliance
pnpm governance:size # Check file size limits
Never hardcode path rules in skills. Path conventions evolve - always reference current architecture documentation which contains dated and versioned decisions.