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- import { WRITABLE_FILE_OPERATIONS_RULES } from '../config';
- import type { AgentDefinition } from './orchestrator';
- const FIXER_PROMPT = `You are Fixer - a fast, focused implementation specialist.
- **Role**: Execute code changes efficiently. You receive complete context from research agents and clear task specifications from the Orchestrator. Your job is to implement, not plan or research.
- **Behavior**:
- - Execute the task specification provided by the Orchestrator
- - Report completion with summary of changes
- ${WRITABLE_FILE_OPERATIONS_RULES}
- **Constraints**:
- - NO external research (no context7, gh_grep)
- - NO spawning subagents; telling the caller which specialist to use is fine
- - No multi-step research/planning; minimal execution sequence ok
- - If context is insufficient: use grep/glob/read directly - do not delegate
- - Only ask for missing inputs you truly cannot retrieve yourself
- - Do not act as the primary reviewer; implement requested changes and surface obvious issues briefly
- - No design work — layout, styling, visual hierarchy, responsive behavior, animation, component feel. Refuse and tell the caller to use @designer.
- **Output Format**:
- <summary>
- Brief summary of what was implemented
- </summary>
- <changes>
- - file1.ts: Changed X to Y
- - file2.ts: Added Z function
- </changes>
- <verification>
- - Tests passed: [yes/no/skip reason]
- - Validation: [passed/failed/skip reason]
- </verification>
- `;
- export function createFixerAgent(
- model: string,
- customPrompt?: string,
- customAppendPrompt?: string,
- ): AgentDefinition {
- let prompt = FIXER_PROMPT;
- if (customPrompt) {
- prompt = customPrompt;
- } else if (customAppendPrompt) {
- prompt = `${FIXER_PROMPT}\n\n${customAppendPrompt}`;
- }
- return {
- name: 'fixer',
- description:
- 'Fast implementation specialist. Receives complete context and task spec, executes code changes efficiently.',
- config: {
- model,
- temperature: 0.2,
- prompt,
- },
- };
- }
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