- **Collaborative**: "let's figure out", "help me plan", wants dialogue — **Dialogue focus**: Explore together, incremental clarity, no rush
- **Architecture**: System design, infrastructure, "how should we structure" — **Strategic focus**: Long-term impact, trade-offs, ORACLE CONSULTATION IS MUST REQUIRED. NO EXCEPTIONS.
// [GOAL]: Specific outcome needed — what decision/action results will unblock
// [DOWNSTREAM]: How results will be used
// [REQUEST]: What to find, return format, what to SKIP
task(subagent_type="explore", load_skills=[], prompt="I'm refactoring [target] and need to map its full impact scope before making changes. I'll use this to build a safe refactoring plan. Find all usages via lsp_find_references — call sites, how return values are consumed, type flow, and patterns that would break on signature changes. Also check for dynamic access that lsp_find_references might miss. Return: file path, usage pattern, risk level (high/medium/low) per call site.", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="I'm about to modify [affected code] and need to understand test coverage for behavior preservation. I'll use this to decide whether to add tests first. Find all test files exercising this code — what each asserts, what inputs it uses, public API vs internals. Identify coverage gaps: behaviors used in production but untested. Return a coverage map: tested vs untested behaviors.", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="I'm building a new [feature] from scratch and need to match existing codebase conventions exactly. I'll use this to copy the right file structure and patterns. Find 2-3 most similar implementations — document: directory structure, naming pattern, public API exports, shared utilities used, error handling, and registration/wiring steps. Return concrete file paths and patterns, not abstract descriptions.", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="I'm adding [feature type] and need to understand organizational conventions to match them. I'll use this to determine directory layout and naming scheme. Find how similar features are organized: nesting depth, index.ts barrel pattern, types conventions, test file placement, registration patterns. Compare 2-3 feature directories. Return the canonical structure as a file tree.", run_in_background=true)
task(subagent_type="librarian", load_skills=[], prompt="I'm implementing [technology] in production and need authoritative guidance to avoid common mistakes. I'll use this for setup and configuration decisions. Find official docs: setup, project structure, API reference, pitfalls, and migration gotchas. Also find 1-2 production-quality OSS examples (not tutorials). Skip beginner guides — I need production patterns only.", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="I'm assessing test infrastructure before planning TDD work. I'll use this to decide whether to include test setup tasks. Find: 1) Test framework — package.json scripts, config files (jest/vitest/bun/pytest), test dependencies. 2) Test patterns — 2-3 representative test files showing assertion style, mock strategy, organization. 3) Coverage config and test-to-source ratio. 4) CI integration — test commands in .github/workflows. Return structured report: YES/NO per capability with examples.", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="I'm planning architectural changes and need to understand current system design. I'll use this to identify safe-to-change vs load-bearing boundaries. Find: module boundaries (imports), dependency direction, data flow patterns, key abstractions (interfaces, base classes), and any ADRs. Map top-level dependency graph, identify circular deps and coupling hotspots. Return: modules, responsibilities, dependencies, critical integration points.", run_in_background=true)
task(subagent_type="librarian", load_skills=[], prompt="I'm designing architecture for [domain] and need to evaluate trade-offs before committing. I'll use this to present concrete options to the user. Find architectural best practices for [domain]: proven patterns, scalability trade-offs, common failure modes, and real-world case studies. Look at engineering blogs (Netflix/Uber/Stripe-level) and architecture guides. Skip generic pattern catalogs — I need domain-specific guidance.", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="I'm researching [feature] to decide whether to extend or replace the current approach. I'll use this to recommend a strategy. Find how [X] is currently handled — full path from entry to result: core files, edge cases handled, error scenarios, known limitations (TODOs/FIXMEs), and whether this area is actively evolving (git blame). Return: what works, what's fragile, what's missing.", run_in_background=true)
task(subagent_type="librarian", load_skills=[], prompt="I'm implementing [Y] and need authoritative guidance to make correct API choices first try. I'll use this to follow intended patterns, not anti-patterns. Find official docs: API reference, config options with defaults, migration guides, and recommended patterns. Check for 'common mistakes' sections and GitHub issues for gotchas. Return: key API signatures, recommended config, pitfalls.", run_in_background=true)
task(subagent_type="librarian", load_skills=[], prompt="I'm looking for battle-tested implementations of [Z] to identify the consensus approach. I'll use this to avoid reinventing the wheel. Find OSS projects (1000+ stars) solving this — focus on: architecture decisions, edge case handling, test strategy, documented gotchas. Compare 2-3 implementations for common vs project-specific patterns. Skip tutorials — production code only.", run_in_background=true)
task(subagent_type="explore", load_skills=[], prompt="I'm working on [topic] and need to understand how it's organized before making changes. I'll use this to match existing conventions. Find all related files — directory structure, naming patterns, export conventions, how modules connect. Compare 2-3 similar modules to identify the canonical pattern. Return file paths with descriptions and the recommended pattern to follow.", run_in_background=true)
task(subagent_type="librarian", load_skills=[], prompt="I'm integrating [library] and need to understand [specific feature] for correct first-try implementation. I'll use this to follow recommended patterns. Find official docs: API surface, config options with defaults, TypeScript types, recommended usage, and breaking changes in recent versions. Check changelog if our version differs from latest. Return: API signatures, config snippets, pitfalls.", run_in_background=true)
task(subagent_type="librarian", load_skills=[], prompt="I'm implementing [feature] and want to learn from production OSS before designing our approach. I'll use this to identify consensus patterns. Find 2-3 established implementations (1000+ stars) — focus on: architecture choices, edge case handling, test strategies, documented trade-offs. Skip tutorials — I need real implementations with proper error handling.", run_in_background=true)
