Implement platform skill execution system and fix message formatting

Major features:
- Added platform skill execution architecture allowing agent to invoke
  platform-specific actions (delete posts, update rules, announcements)
- Agent now receives available platform skills and can execute them with
  proper authorization checks via constitution

Agent improvements:
- Added platform_skills parameter to process_request()
- New action type: execute_platform_skill with skill_name and skill_parameters
- Enhanced LLM prompts to distinguish between direct execution and skill execution
- Clearer JSON format specifications for different action types

Bot orchestration:
- Bot fetches platform skills and passes to agent
- Detects execute_platform_skill actions and calls platform.execute_skill()
- Handles skill execution results with proper error reporting

Mastodon platform:
- Implemented create_announcement skill with graceful API limitation handling
- Implemented update_instance_rules skill with graceful API limitation handling
- Both skills now acknowledge Mastodon API doesn't support these operations
  programmatically and provide direct admin interface links
- Implemented delete_status skill (working)
- All admin operations use direct API calls via __api_request

Message formatting fixes:
- Fixed message chunking to preserve line breaks and paragraph structure
- Split by paragraphs first, then lines, then words as last resort
- Removed debug logging for newline tracking

Documentation:
- Updated .gitignore to exclude bot.log and nohup.out

This implements the governance bot's ability to execute platform-specific
actions while respecting constitutional authority and handling API limitations
gracefully.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

src/govbot/scheduler.py

@@ -100,12 +100,13 @@ class GovernanceScheduler:
                 )
                 # TODO: Post result to Mastodon
 
-        # Check for pending reminders
-        reminders = self.agent.primitives.get_pending_reminders()
-        for reminder in reminders:
-            logger.info(f"Sending reminder: {reminder['data']['message']}")
-            # TODO: Post reminder to Mastodon
-            self.agent.primitives.mark_reminder_sent(reminder["id"])
+        # Check for pending reminders (if agent has primitives - old architecture)
+        if hasattr(self.agent, 'primitives'):
+            reminders = self.agent.primitives.get_pending_reminders()
+            for reminder in reminders:
+                logger.info(f"Sending reminder: {reminder['data']['message']}")
+                # TODO: Post reminder to Mastodon
+                self.agent.primitives.mark_reminder_sent(reminder["id"])
 
         # Check for veto votes (every cycle)
         self._check_veto_votes()