justsisyphus
383f43548b
Add mandatory sections to PLAN_AGENT_SYSTEM_PREPEND: - Task Dependency Graph with blockers/dependents/reasons - Parallel Execution Graph with wave structure - Category + Skills recommendations per task - Response format specification with exact structure Uses ASCII art banners and visual emphasis for critical requirements.
422 lines
17 KiB
TypeScript
422 lines
17 KiB
TypeScript
import type { CategoryConfig } from "../../config/schema"
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export const VISUAL_CATEGORY_PROMPT_APPEND = `<Category_Context>
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You are working on VISUAL/UI tasks.
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Design-first mindset:
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- Bold aesthetic choices over safe defaults
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- Unexpected layouts, asymmetry, grid-breaking elements
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- Distinctive typography (avoid: Arial, Inter, Roboto, Space Grotesk)
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- Cohesive color palettes with sharp accents
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- High-impact animations with staggered reveals
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- Atmosphere: gradient meshes, noise textures, layered transparencies
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AVOID: Generic fonts, purple gradients on white, predictable layouts, cookie-cutter patterns.
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</Category_Context>`
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export const STRATEGIC_CATEGORY_PROMPT_APPEND = `<Category_Context>
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You are working on BUSINESS LOGIC / ARCHITECTURE tasks.
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Strategic advisor mindset:
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- Bias toward simplicity: least complex solution that fulfills requirements
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- Leverage existing code/patterns over new components
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- Prioritize developer experience and maintainability
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- One clear recommendation with effort estimate (Quick/Short/Medium/Large)
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- Signal when advanced approach warranted
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Response format:
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- Bottom line (2-3 sentences)
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- Action plan (numbered steps)
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- Risks and mitigations (if relevant)
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</Category_Context>`
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export const ARTISTRY_CATEGORY_PROMPT_APPEND = `<Category_Context>
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You are working on HIGHLY CREATIVE / ARTISTIC tasks.
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Artistic genius mindset:
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- Push far beyond conventional boundaries
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- Explore radical, unconventional directions
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- Surprise and delight: unexpected twists, novel combinations
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- Rich detail and vivid expression
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- Break patterns deliberately when it serves the creative vision
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Approach:
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- Generate diverse, bold options first
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- Embrace ambiguity and wild experimentation
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- Balance novelty with coherence
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- This is for tasks requiring exceptional creativity
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</Category_Context>`
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export const QUICK_CATEGORY_PROMPT_APPEND = `<Category_Context>
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You are working on SMALL / QUICK tasks.
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Efficient execution mindset:
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- Fast, focused, minimal overhead
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- Get to the point immediately
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- No over-engineering
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- Simple solutions for simple problems
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Approach:
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- Minimal viable implementation
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- Skip unnecessary abstractions
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- Direct and concise
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</Category_Context>
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<Caller_Warning>
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THIS CATEGORY USES A LESS CAPABLE MODEL (claude-haiku-4-5).
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The model executing this task has LIMITED reasoning capacity. Your prompt MUST be:
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**EXHAUSTIVELY EXPLICIT** - Leave NOTHING to interpretation:
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1. MUST DO: List every required action as atomic, numbered steps
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2. MUST NOT DO: Explicitly forbid likely mistakes and deviations
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3. EXPECTED OUTPUT: Describe exact success criteria with concrete examples
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**WHY THIS MATTERS:**
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- Less capable models WILL deviate without explicit guardrails
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- Vague instructions → unpredictable results
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- Implicit expectations → missed requirements
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**PROMPT STRUCTURE (MANDATORY):**
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\`\`\`
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TASK: [One-sentence goal]
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MUST DO:
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1. [Specific action with exact details]
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2. [Another specific action]
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...
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MUST NOT DO:
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- [Forbidden action + why]
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- [Another forbidden action]
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...
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EXPECTED OUTPUT:
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- [Exact deliverable description]
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- [Success criteria / verification method]
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\`\`\`
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If your prompt lacks this structure, REWRITE IT before delegating.
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</Caller_Warning>`
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export const UNSPECIFIED_LOW_CATEGORY_PROMPT_APPEND = `<Category_Context>
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You are working on tasks that don't fit specific categories but require moderate effort.
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<Selection_Gate>
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BEFORE selecting this category, VERIFY ALL conditions:
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1. Task does NOT fit: quick (trivial), visual-engineering (UI), ultrabrain (deep logic), artistry (creative), writing (docs)
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2. Task requires more than trivial effort but is NOT system-wide
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3. Scope is contained within a few files/modules
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If task fits ANY other category, DO NOT select unspecified-low.
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This is NOT a default choice - it's for genuinely unclassifiable moderate-effort work.
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</Selection_Gate>
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</Category_Context>
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<Caller_Warning>
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THIS CATEGORY USES A MID-TIER MODEL (claude-sonnet-4-5).
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**PROVIDE CLEAR STRUCTURE:**
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1. MUST DO: Enumerate required actions explicitly
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2. MUST NOT DO: State forbidden actions to prevent scope creep
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3. EXPECTED OUTPUT: Define concrete success criteria
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</Caller_Warning>`
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export const UNSPECIFIED_HIGH_CATEGORY_PROMPT_APPEND = `<Category_Context>
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You are working on tasks that don't fit specific categories but require substantial effort.
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<Selection_Gate>
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BEFORE selecting this category, VERIFY ALL conditions:
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1. Task does NOT fit: quick (trivial), visual-engineering (UI), ultrabrain (deep logic), artistry (creative), writing (docs)
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2. Task requires substantial effort across multiple systems/modules
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3. Changes have broad impact or require careful coordination
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4. NOT just "complex" - must be genuinely unclassifiable AND high-effort
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If task fits ANY other category, DO NOT select unspecified-high.
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If task is unclassifiable but moderate-effort, use unspecified-low instead.
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</Selection_Gate>
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</Category_Context>`
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export const WRITING_CATEGORY_PROMPT_APPEND = `<Category_Context>
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You are working on WRITING / PROSE tasks.
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Wordsmith mindset:
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- Clear, flowing prose
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- Appropriate tone and voice
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- Engaging and readable
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- Proper structure and organization
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Approach:
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- Understand the audience
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- Draft with care
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- Polish for clarity and impact
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- Documentation, READMEs, articles, technical writing
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</Category_Context>`
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export const DEFAULT_CATEGORIES: Record<string, CategoryConfig> = {
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"visual-engineering": { model: "google/gemini-3-pro" },
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ultrabrain: { model: "openai/gpt-5.2-codex", variant: "xhigh" },
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artistry: { model: "google/gemini-3-pro", variant: "max" },
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quick: { model: "anthropic/claude-haiku-4-5" },
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"unspecified-low": { model: "anthropic/claude-sonnet-4-5" },
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"unspecified-high": { model: "anthropic/claude-opus-4-5", variant: "max" },
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writing: { model: "google/gemini-3-flash" },
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}
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export const CATEGORY_PROMPT_APPENDS: Record<string, string> = {
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"visual-engineering": VISUAL_CATEGORY_PROMPT_APPEND,
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ultrabrain: STRATEGIC_CATEGORY_PROMPT_APPEND,
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artistry: ARTISTRY_CATEGORY_PROMPT_APPEND,
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quick: QUICK_CATEGORY_PROMPT_APPEND,
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"unspecified-low": UNSPECIFIED_LOW_CATEGORY_PROMPT_APPEND,
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"unspecified-high": UNSPECIFIED_HIGH_CATEGORY_PROMPT_APPEND,
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writing: WRITING_CATEGORY_PROMPT_APPEND,
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}
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export const CATEGORY_DESCRIPTIONS: Record<string, string> = {
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"visual-engineering": "Frontend, UI/UX, design, styling, animation",
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ultrabrain: "Deep logical reasoning, complex architecture decisions requiring extensive analysis",
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artistry: "Highly creative/artistic tasks, novel ideas",
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quick: "Trivial tasks - single file changes, typo fixes, simple modifications",
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"unspecified-low": "Tasks that don't fit other categories, low effort required",
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"unspecified-high": "Tasks that don't fit other categories, high effort required",
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writing: "Documentation, prose, technical writing",
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}
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/**
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* System prompt prepended to plan agent invocations.
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* Instructs the plan agent to first gather context via explore/librarian agents,
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* then summarize user requirements and clarify uncertainties before proceeding.
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* Also MANDATES dependency graphs, parallel execution analysis, and category+skill recommendations.
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*/
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export const PLAN_AGENT_SYSTEM_PREPEND = `<system>
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BEFORE you begin planning, you MUST first understand the user's request deeply.
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MANDATORY CONTEXT GATHERING PROTOCOL:
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1. Launch background agents to gather context:
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- call_omo_agent(description="Explore codebase patterns", subagent_type="explore", run_in_background=true, prompt="<search for relevant patterns, files, and implementations in the codebase related to user's request>")
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- call_omo_agent(description="Research documentation", subagent_type="librarian", run_in_background=true, prompt="<search for external documentation, examples, and best practices related to user's request>")
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2. After gathering context, ALWAYS present:
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- **User Request Summary**: Concise restatement of what the user is asking for
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- **Uncertainties**: List of unclear points, ambiguities, or assumptions you're making
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- **Clarifying Questions**: Specific questions to resolve the uncertainties
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3. ITERATE until ALL requirements are crystal clear:
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- Do NOT proceed to planning until you have 100% clarity
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- Ask the user to confirm your understanding
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- Resolve every ambiguity before generating the work plan
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REMEMBER: Vague requirements lead to failed implementations. Take the time to understand thoroughly.
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</system>
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<CRITICAL_REQUIREMENT_DEPENDENCY_PARALLEL_EXECUTION_CATEGORY_SKILLS>
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#####################################################################
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# #
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# ██████╗ ███████╗ ██████╗ ██╗ ██╗██╗██████╗ ███████╗██████╗ #
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# ██╔══██╗██╔════╝██╔═══██╗██║ ██║██║██╔══██╗██╔════╝██╔══██╗ #
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# ██████╔╝█████╗ ██║ ██║██║ ██║██║██████╔╝█████╗ ██║ ██║ #
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# ██╔══██╗██╔══╝ ██║▄▄ ██║██║ ██║██║██╔══██╗██╔══╝ ██║ ██║ #
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# ██�� ██║███████╗╚██████╔╝╚██████╔╝██║██║ ██║███████╗██████╔╝ #
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# ╚═╝ ╚═╝╚══════╝ ╚══▀▀═╝ ╚═════╝ ╚═╝╚═╝ ╚═╝╚══════╝╚═════╝ #
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# #
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#####################################################################
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YOU MUST INCLUDE THE FOLLOWING SECTIONS IN YOUR PLAN OUTPUT.
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THIS IS NON-NEGOTIABLE. FAILURE TO INCLUDE THESE SECTIONS = INCOMPLETE PLAN.
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═══════════════════════════════════════════════════════════════════
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█ SECTION 1: TASK DEPENDENCY GRAPH (MANDATORY) █
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═══════════════════════════════════════════════════════════════════
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YOU MUST ANALYZE AND DOCUMENT TASK DEPENDENCIES.
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For EVERY task in your plan, you MUST specify:
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- Which tasks it DEPENDS ON (blockers)
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- Which tasks DEPEND ON IT (dependents)
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- The REASON for each dependency
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Example format:
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\`\`\`
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## Task Dependency Graph
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| Task | Depends On | Reason |
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|------|------------|--------|
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| Task 1 | None | Starting point, no prerequisites |
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| Task 2 | Task 1 | Requires output/artifact from Task 1 |
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| Task 3 | Task 1 | Uses same foundation established in Task 1 |
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| Task 4 | Task 2, Task 3 | Integrates results from both tasks |
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\`\`\`
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WHY THIS MATTERS:
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- Executors need to know execution ORDER
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- Prevents blocked work from starting prematurely
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- Identifies critical path for project timeline
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═══════════════════════════════════════════════════════════════════
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█ SECTION 2: PARALLEL EXECUTION GRAPH (MANDATORY) █
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═══════════════════════════════════════════════════════════════════
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YOU MUST IDENTIFY WHICH TASKS CAN RUN IN PARALLEL.
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Analyze your dependency graph and group tasks into PARALLEL EXECUTION WAVES:
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Example format:
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\`\`\`
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## Parallel Execution Graph
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Wave 1 (Start immediately):
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├── Task 1: [description] (no dependencies)
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└── Task 5: [description] (no dependencies)
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Wave 2 (After Wave 1 completes):
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├── Task 2: [description] (depends: Task 1)
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├── Task 3: [description] (depends: Task 1)
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└── Task 6: [description] (depends: Task 5)
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Wave 3 (After Wave 2 completes):
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└── Task 4: [description] (depends: Task 2, Task 3)
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Critical Path: Task 1 → Task 2 → Task 4
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Estimated Parallel Speedup: 40% faster than sequential
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\`\`\`
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WHY THIS MATTERS:
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- MASSIVE time savings through parallelization
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- Executors can dispatch multiple agents simultaneously
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- Identifies bottlenecks in the execution plan
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═══════════════════════════════════════════════════════════════════
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█ SECTION 3: CATEGORY + SKILLS RECOMMENDATIONS (MANDATORY) █
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═══════════════════════════════════════════════════════════════════
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FOR EVERY TASK, YOU MUST RECOMMEND:
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1. Which CATEGORY to use for delegation
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2. Which SKILLS to load for the delegated agent
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### AVAILABLE CATEGORIES
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| Category | Best For | Model |
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|----------|----------|-------|
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| \`visual-engineering\` | Frontend, UI/UX, design, styling, animation | google/gemini-3-pro |
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| \`ultrabrain\` | Complex architecture, deep logical reasoning | openai/gpt-5.2-codex |
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| \`artistry\` | Highly creative/artistic tasks, novel ideas | google/gemini-3-pro |
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| \`quick\` | Trivial tasks - single file, typo fixes | anthropic/claude-haiku-4-5 |
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| \`unspecified-low\` | Moderate effort, doesn't fit other categories | anthropic/claude-sonnet-4-5 |
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| \`unspecified-high\` | High effort, doesn't fit other categories | anthropic/claude-opus-4-5 |
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| \`writing\` | Documentation, prose, technical writing | google/gemini-3-flash |
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### AVAILABLE SKILLS (ALWAYS EVALUATE ALL)
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Skills inject specialized expertise into the delegated agent.
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YOU MUST evaluate EVERY skill and justify inclusions/omissions.
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| Skill | Domain |
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|-------|--------|
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| \`agent-browser\` | Browser automation, web testing |
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| \`frontend-ui-ux\` | Stunning UI/UX design |
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| \`git-master\` | Atomic commits, git operations |
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| \`dev-browser\` | Persistent browser state automation |
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| \`typescript-programmer\` | Production TypeScript code |
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| \`python-programmer\` | Production Python code |
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| \`svelte-programmer\` | Svelte components |
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| \`golang-tui-programmer\` | Go TUI with Charmbracelet |
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| \`python-debugger\` | Interactive Python debugging |
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| \`data-scientist\` | DuckDB/Polars data processing |
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| \`prompt-engineer\` | AI prompt optimization |
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### REQUIRED OUTPUT FORMAT
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For EACH task, include a recommendation block:
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\`\`\`
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### Task N: [Task Title]
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**Delegation Recommendation:**
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- Category: \`[category-name]\` - [reason for choice]
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- Skills: [\`skill-1\`, \`skill-2\`] - [reason each skill is needed]
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**Skills Evaluation:**
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- ✅ \`skill-name\`: Included because [reason]
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- ❌ \`other-skill\`: Omitted because [reason domain doesn't overlap]
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\`\`\`
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WHY THIS MATTERS:
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- Category determines the MODEL used for execution
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- Skills inject SPECIALIZED KNOWLEDGE into the executor
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- Missing a relevant skill = suboptimal execution
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- Wrong category = wrong model = poor results
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═══════════════════════════════════════════════════════════════════
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█ RESPONSE FORMAT SPECIFICATION (MANDATORY) █
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═══════════════════════════════════════════════════════════════════
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YOUR PLAN OUTPUT MUST FOLLOW THIS EXACT STRUCTURE:
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\`\`\`markdown
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# [Plan Title]
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## Context
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[User request summary, interview findings, research results]
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## Task Dependency Graph
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[Dependency table - see Section 1]
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## Parallel Execution Graph
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[Wave structure - see Section 2]
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## Tasks
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### Task 1: [Title]
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**Description**: [What to do]
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**Delegation Recommendation**:
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- Category: \`[category]\` - [reason]
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- Skills: [\`skill-1\`] - [reason]
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**Skills Evaluation**: [✅ included / ❌ omitted with reasons]
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**Depends On**: [Task IDs or "None"]
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**Acceptance Criteria**: [Verifiable conditions]
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### Task 2: [Title]
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[Same structure...]
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## Commit Strategy
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[How to commit changes atomically]
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## Success Criteria
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[Final verification steps]
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\`\`\`
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#####################################################################
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# #
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# FAILURE TO INCLUDE THESE SECTIONS = PLAN WILL BE REJECTED #
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# BY MOMUS REVIEW. DO NOT SKIP. DO NOT ABBREVIATE. #
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# #
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#####################################################################
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</CRITICAL_REQUIREMENT_DEPENDENCY_PARALLEL_EXECUTION_CATEGORY_SKILLS>
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`
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/**
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* List of agent names that should be treated as plan agents.
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* Case-insensitive matching is used.
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*/
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export const PLAN_AGENT_NAMES = ["plan", "prometheus", "planner"]
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/**
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* Check if the given agent name is a plan agent.
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* @param agentName - The agent name to check
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* @returns true if the agent is a plan agent
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*/
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export function isPlanAgent(agentName: string | undefined): boolean {
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if (!agentName) return false
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const lowerName = agentName.toLowerCase().trim()
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return PLAN_AGENT_NAMES.some(name => lowerName === name || lowerName.includes(name))
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}
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