chore(agents): sync agent configs, models, capability index; cleanup junk

- Update agent model assignments (minimax/glm -> nemotron-3-ultra, kimi-k2.7-code, qwen3.5:397b) in .kilo/agents, kilo-meta.json, kilo.jsonc, capability-index.yaml
- Update orchestrator/agent prompts (complexity fast-path, verification tests, close-loop audit)
- Add .kilo/KILO_SPEC.md (Kilo Code specification reference)
- AGENTS.md: consolidate smartadmin agent rows
- Remove screenshot-dash.cjs (unused, contained hardcoded admin token); gitignore it
- Remove empty .kilo/milestones/

.kilo/agents/prompt-optimizer.md

@@ -4,6 +4,7 @@ mode: subagent
 model: ollama-cloud/minimax-m3
 variant: thinking
 permission:
+  bash: ask
   read: allow
   edit: allow
   write: allow
@@ -92,4 +93,15 @@ Tier 1 (Task Agent / Orchestrator-Mediated Cascade)
 ```
 
 
+## Integrate Episodic Lessons
+
+When optimizing an agent's prompt, read `.kilo/logs/episodic-lessons.jsonl` for lessons tagged `applied_to` containing that agent name. Integrate relevant lessons into the improved prompt. Each lesson includes the failure pattern, the fix, and the issue that triggered it.
+
+```bash
+# Filter lessons for a specific agent
+cat .kilo/logs/episodic-lessons.jsonl | grep '"applied_to":\[.*"lead-developer".*\]'
+```
+
+Lessons with `success: false` indicate patterns to avoid; `success: true` indicate patterns to reinforce.
+
 <gitea-commenting required="true" skill="gitea-commenting" />