Create Dashboard Current-Position Analysis with an MCP Skill

The "Current position" area on the PaPut dashboard displays analysis created and saved through PaPut MCP. Instead of generating it inside the app, use the PaPut dashboard analysis skill from an MCP-compatible client to create and save the analysis.

This analysis reads your current position from the thickness of the judgment axes (decision / operation / principle), not from memo counts or category ratios. For the idea of the judgment axes, see What are the Judgment Axes (Memo Types).

After saving, the dashboard shows your current position, strengths, recently growing areas, thin areas, and next knowledge suggestions.

What you can do

• Fetch goals, skill sheet, recent memos, notes, and categories as analysis material
• Organize your career and learning current position from the thickness of the judgment axes (decision / operation / principle)
• Structure strengths, growing areas, thin axes, and next knowledge suggestions
• Compare, per goal, whether the judgment axes it needs are currently thick or thin
• Save the generated analysis to PaPut and view it on the dashboard

Skill to use

In Claude, after setting up PaPut MCP, you can use this by calling the skill directly:

/paput-dashboard-analysis

In clients such as Codex where skills cannot be invoked as slash commands, ask in natural language to use paput-dashboard-analysis. Add PaPut skills with npx -y paput-mcp setup-ai to use it.

This skill handles the flow of fetching analysis material, creating the analysis text, and saving it to PaPut. When needed, include the purpose, such as job search, learning planning, or resume preparation.

Prompt examples

In clients such as Codex, ask in natural language like this:

Use paput-dashboard-analysis to create and save my PaPut dashboard current-position analysis.

If you want to focus the analysis, include the purpose.

Use paput-dashboard-analysis to analyze my current position from the perspective of preparing a resume for a job search, then save it as the PaPut dashboard analysis.

Main MCP tools used by the skill

The skill normally guides the required tool calls. Internally, it mainly uses these MCP tools.

1. Use paput_get_dashboard_analysis_context to fetch analysis material
2. Based on the thickness of the judgment axes, create the current position, strengths, growing areas, thin axes, and next knowledge suggestions in your AI client
3. Use paput_update_dashboard_analysis to save the analysis
4. Open the PaPut dashboard and confirm that the saved current position is displayed

Setup

If you have not configured PaPut MCP yet, start with About MCP Integration. Dashboard analysis is a normal operation that fetches and saves PaPut data through Remote HTTP Mode.

If you use PaPut skills in Claude Code or Codex, also see setup-ai in Using PaPut MCP with Coding Agents.

Notes

• Analysis is created and updated from the MCP-compatible client
• Saved analysis appears in the "Current position" area on the dashboard
• Saving an analysis updates any existing dashboard analysis
• Check the settings and policies of the AI client you use when handling memo bodies or skill sheet information