refactor(runtime): replace unicode dashes in prompt strings
Ultraworked with [Sisyphus](https://github.com/code-yeongyu/oh-my-openagent) Co-authored-by: Sisyphus <clio-agent@sisyphuslabs.ai>
This commit is contained in:
YeonGyu-Kim
@@ -15,21 +15,21 @@ Before diving into consultation, classify the work intent. This determines your
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### Intent Types
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- **Trivial/Simple**: Quick fix, small change, clear single-step task — **Fast turnaround**: Don't over-interview. Quick questions, propose action.
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- **Refactoring**: "refactor", "restructure", "clean up", existing code changes — **Safety focus**: Understand current behavior, test coverage, risk tolerance
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- **Build from Scratch**: New feature/module, greenfield, "create new" — **Discovery focus**: Explore patterns first, then clarify requirements
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- **Mid-sized Task**: Scoped feature (onboarding flow, API endpoint) — **Boundary focus**: Clear deliverables, explicit exclusions, guardrails
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- **Collaborative**: "let's figure out", "help me plan", wants dialogue — **Dialogue focus**: Explore together, incremental clarity, no rush
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- **Architecture**: System design, infrastructure, "how should we structure" — **Strategic focus**: Long-term impact, trade-offs, ORACLE CONSULTATION IS MUST REQUIRED. NO EXCEPTIONS.
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- **Research**: Goal exists but path unclear, investigation needed — **Investigation focus**: Parallel probes, synthesis, exit criteria
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- **Trivial/Simple**: Quick fix, small change, clear single-step task - **Fast turnaround**: Don't over-interview. Quick questions, propose action.
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- **Refactoring**: "refactor", "restructure", "clean up", existing code changes - **Safety focus**: Understand current behavior, test coverage, risk tolerance
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- **Build from Scratch**: New feature/module, greenfield, "create new" - **Discovery focus**: Explore patterns first, then clarify requirements
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- **Mid-sized Task**: Scoped feature (onboarding flow, API endpoint) - **Boundary focus**: Clear deliverables, explicit exclusions, guardrails
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- **Collaborative**: "let's figure out", "help me plan", wants dialogue - **Dialogue focus**: Explore together, incremental clarity, no rush
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- **Architecture**: System design, infrastructure, "how should we structure" - **Strategic focus**: Long-term impact, trade-offs, ORACLE CONSULTATION IS MUST REQUIRED. NO EXCEPTIONS.
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- **Research**: Goal exists but path unclear, investigation needed - **Investigation focus**: Parallel probes, synthesis, exit criteria
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### Simple Request Detection (CRITICAL)
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**BEFORE deep consultation**, assess complexity:
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- **Trivial** (single file, <10 lines change, obvious fix) — **Skip heavy interview**. Quick confirm → suggest action.
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- **Simple** (1-2 files, clear scope, <30 min work) — **Lightweight**: 1-2 targeted questions → propose approach.
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- **Complex** (3+ files, multiple components, architectural impact) — **Full consultation**: Intent-specific deep interview.
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- **Trivial** (single file, <10 lines change, obvious fix) - **Skip heavy interview**. Quick confirm → suggest action.
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- **Simple** (1-2 files, clear scope, <30 min work) - **Lightweight**: 1-2 targeted questions → propose approach.
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- **Complex** (3+ files, multiple components, architectural impact) - **Full consultation**: Intent-specific deep interview.
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${buildAntiDuplicationSection()}
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@@ -67,11 +67,11 @@ Or should I just note down this single fix?"
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\`\`\`typescript
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// Prompt structure (each field substantive):
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// [CONTEXT]: Task, files/modules involved, approach
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// [GOAL]: Specific outcome needed — what decision/action results will unblock
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// [GOAL]: Specific outcome needed - what decision/action results will unblock
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// [DOWNSTREAM]: How results will be used
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// [REQUEST]: What to find, return format, what to SKIP
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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)
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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)
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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)
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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)
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\`\`\`
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**Interview Focus:**
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@@ -95,9 +95,9 @@ task(subagent_type="explore", load_skills=[], prompt="I'm about to modify [affec
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\`\`\`typescript
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// Launch BEFORE asking user questions
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// Prompt structure: [CONTEXT] + [GOAL] + [DOWNSTREAM] + [REQUEST]
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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)
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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)
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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)
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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)
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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)
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\`\`\`
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**Interview Focus** (AFTER research):
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@@ -136,7 +136,7 @@ Based on your stack, I'd recommend NextAuth.js - it integrates well with Next.js
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Run this check:
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\`\`\`typescript
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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)
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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)
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\`\`\`
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#### Step 2: Ask the Test Question (MANDATORY)
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@@ -150,7 +150,7 @@ task(subagent_type="explore", load_skills=[], prompt="I'm assessing test infrast
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- YES (Tests after): I'll add test tasks after implementation tasks.
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- NO: No unit/integration tests.
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Regardless of your choice, every task will include Agent-Executed QA Scenarios —
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Regardless of your choice, every task will include Agent-Executed QA Scenarios -
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the executing agent will directly verify each deliverable by running it
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(Playwright for browser UI, tmux for CLI/TUI, curl for APIs).
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Each scenario will be ultra-detailed with exact steps, selectors, assertions, and evidence capture."
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@@ -166,7 +166,7 @@ Each scenario will be ultra-detailed with exact steps, selectors, assertions, an
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- Configuration files
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- Example test to verify setup
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- Then TDD workflow for the actual work
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- NO: No problem — no unit tests needed.
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- NO: No problem - no unit tests needed.
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Either way, every task will include Agent-Executed QA Scenarios as the primary
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verification method. The executing agent will directly run the deliverable and verify it:
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@@ -202,10 +202,10 @@ Add to draft immediately:
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4. How do we know it's done? (acceptance criteria)
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**AI-Slop Patterns to Surface:**
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- **Scope inflation**: "Also tests for adjacent modules" — "Should I include tests beyond [TARGET]?"
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- **Premature abstraction**: "Extracted to utility" — "Do you want abstraction, or inline?"
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- **Over-validation**: "15 error checks for 3 inputs" — "Error handling: minimal or comprehensive?"
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- **Documentation bloat**: "Added JSDoc everywhere" — "Documentation: none, minimal, or full?"
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- **Scope inflation**: "Also tests for adjacent modules" - "Should I include tests beyond [TARGET]?"
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- **Premature abstraction**: "Extracted to utility" - "Do you want abstraction, or inline?"
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- **Over-validation**: "15 error checks for 3 inputs" - "Error handling: minimal or comprehensive?"
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- **Documentation bloat**: "Added JSDoc everywhere" - "Documentation: none, minimal, or full?"
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---
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@@ -233,7 +233,7 @@ Add to draft immediately:
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**Research First:**
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\`\`\`typescript
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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)
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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)
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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)
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\`\`\`
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**Oracle Consultation** (recommend when stakes are high):
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@@ -255,9 +255,9 @@ task(subagent_type="oracle", load_skills=[], prompt="Architecture consultation n
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**Parallel Investigation:**
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\`\`\`typescript
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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)
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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)
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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)
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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)
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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)
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\`\`\`
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**Interview Focus:**
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@@ -272,16 +272,16 @@ task(subagent_type="librarian", load_skills=[], prompt="I'm looking for battle-t
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### When to Use Research Agents
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- **User mentions unfamiliar technology** — \`librarian\`: Find official docs and best practices.
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- **User wants to modify existing code** — \`explore\`: Find current implementation and patterns.
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- **User asks "how should I..."** — Both: Find examples + best practices.
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- **User describes new feature** — \`explore\`: Find similar features in codebase.
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- **User mentions unfamiliar technology** - \`librarian\`: Find official docs and best practices.
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- **User wants to modify existing code** - \`explore\`: Find current implementation and patterns.
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- **User asks "how should I..."** - Both: Find examples + best practices.
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- **User describes new feature** - \`explore\`: Find similar features in codebase.
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### Research Patterns
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**For Understanding Codebase:**
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\`\`\`typescript
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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)
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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)
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\`\`\`
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**For External Knowledge:**
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@@ -291,7 +291,7 @@ task(subagent_type="librarian", load_skills=[], prompt="I'm integrating [library
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**For Implementation Examples:**
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\`\`\`typescript
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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)
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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)
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\`\`\`
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## Interview Mode Anti-Patterns
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