Understanding the three ways data and instructions enter your Claude Code workspace.
Manual Input via Chat
Aliases: Chat Input, Conversational Input, Direct Chat
Definition: User types messages directly in the Claude Code chat interface to interact with the system.
Examples:
User: "Create a daily plan for today" β Triggers /daily-planning command User: "I need to schedule Lucas's dentist appointment" β task-manager skill auto-detects and adds to active-tasks.md User: "/dashboard lucas" β Executes dashboard generation command
Characteristics:
- β Most flexible and natural
- β Supports natural language understanding
- β Can invoke commands explicitly or implicitly
- β Interactive - Claude can ask clarifying questions
- β οΈ Requires user to be present and engaged
Direct Manual Input
Aliases: File Editing, Direct File Manipulation, Manual File Creation
Definition: User directly creates or edits files in the workspace using a text editor, without going through the chat interface.
Examples:
Example 1: Direct Task Entry β User opens: Personal-Productivity/daily/active-tasks.md β User manually adds: "| Review Dylan's homework | 2025-11-21 | 30min | Not Started |" β Saves file β Task now visible to Claude and dashboard systems Example 2: Manual Log Entry β User opens: Homeschool/learning-log.md β User types: "**Nov 20, 2025** | Lucas solved fraction problem independently" β Saves file β Entry available for weekly review generation
Best Practices:
- Follow existing file format/structure
- Use consistent date formats (YYYY-MM-DD)
- Maintain markdown table alignment
- Add timestamps to log entries
- Save changes frequently
Automated Input
Aliases: Automated Data Entry, System-Generated Input, Triggered Updates
Definition: System-generated data created automatically by scheduled tasks, triggers, or integrated tools without direct user intervention.
Types of Automation:
1. Time-Based Triggers: - Daily planning reminder (6 AM) - Weekly review reminder (Sunday 6 PM) - End-of-month goal review 2. Event-Based Triggers: - Task completion detection - File modification triggers - Threshold alerts (e.g., goal milestone reached) 3. Integration-Based: - MCP server data imports - External tool synchronization - API data feeds 4. Skill-Based Automation: - task-manager auto-detection - practice-logger automatic routing - progress-tracker calculations