plan2code-bot: replace auto-responder with LLM-as-judge evaluation

Bot now acts as an authentic QA agent instead of rubber-stamping every
question and step.

- intelligent-responder answers AskUserQuestion via LLM using current
  observations (tools used, files created, errors) instead of keyword
  matching; auto-responder removed.
- evaluator runs after each step with step-specific criteria
  (prompts/evaluation-criteria.ts), produces 0-100 score plus
  strengths/weaknesses/critical issues. Avg <60 blocks finalization.
- observation-collector captures tool_use, file writes, errors, and
  question reasoning; session-runner falls back to scraping tool_use
  blocks when canUseTool doesn't fire and dedupes both sources.
- Bot writes BOT-EVALUATION.md and BOT-NOTES.md for metrics analysis.
- Idea generator: 12 categories instead of CLI/web-app coin flip,
  stronger seed adherence, less developer-tool bias.
- Init step now writes a minimal AGENTS.md stub instead of running
  the full init skill, avoiding hallucinated architecture before plan.
- Implement step uses Read/Write/Edit/Glob/Grep directly instead of
  a Skill sub-session that produced no visible tool observations.
- bin: add --help, accept --idea="value" form, strip surrounding
  quotes; evaluator maxTurns 3 -> 30; warn when parser misses SCORE.

plan2code-bot/src/types.ts

@@ -10,12 +10,55 @@ export interface BotConfig {
 
 export type StepName = 'init' | 'plan' | 'document' | 'implement' | 'finalize';
 
+export interface ToolObservation {
+  toolName: string;
+  input: Record<string, unknown>;
+  output?: unknown;
+  timestamp: number;
+  allowed: boolean;
+  autoAnswered?: boolean;
+}
+
+export interface QuestionContext {
+  question: string;
+  options: Array<{ label: string; description: string }>;
+  llmReasoning: string;
+  selectedAnswer: string;
+  timestamp: number;
+}
+
+export interface ExecutionObservation {
+  step: StepName;
+  startTime: number;
+  endTime: number;
+  tools: ToolObservation[];
+  assistantMessages: string[];
+  errors: string[];
+  filesCreated: string[];
+  filesModified: string[];
+  questionsAsked: QuestionContext[];
+}
+
+export interface EvaluationResult {
+  step: StepName;
+  score: number;
+  strengths: string[];
+  weaknesses: string[];
+  suggestions: string[];
+  criticalIssues: string[];
+  timestamp: number;
+  evaluatorModel: string;
+  reasoning: string;
+}
+
 export interface StepResult {
   step: StepName;
   success: boolean;
   sessionId: string | null;
   duration: number;
   error: string | null;
+  evaluation?: EvaluationResult;
+  observations?: ExecutionObservation;
 }
 
 export interface BotState {