maiobarbero/my-ai-workflow/project-complexity-mapper

Claude Code and agent skill by maiobarbero/my-ai-workflow

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Diagnose project complexity from a rough project description using the DelftX TOE framework and detail/dynamic complexity model. Use when the user wants to map, score, visualize, or understand project complexity; create a TOE matrix; generate a quadrant chart; or choose a fit-for-purpose management approach.

Install

npx vskill@latest install maiobarbero/my-ai-workflow/project-complexity-mapper

SKILL.md

Project Complexity Mapper

Turn a rough project description, project idea, or messy notes into a structured complexity diagnosis. The output is a TOE assessment, overall and hotspot quadrants, a Mermaid quadrant chart, and management-fit guidance.

This skill is diagnostic only. Do not create an action plan. End with a short human-readable handoff table that another planning skill can use.

Core Workflow

  1. Read the user's project description.
  2. Run a fast first-pass complexity scan by default.
  3. Infer likely Technical, Organizational, and External complexity elements.
  4. Ask only the few questions needed to resolve high-impact uncertainty.
  5. Score relevant elements by TOE contribution, detail complexity, dynamic

complexity, impact, severity, and confidence.

  1. Output the report using references/output-format.md.
  2. Include both overall project quadrant and per-hotspot quadrants.
  3. Include a Mermaid quadrant chart for the main hotspots.
  4. End with a human-readable handoff table.

Assessment Modes

Default mode: Fast Complexity Scan.

  • Use the user's free-form description as input.
  • Infer likely TOE elements from the description.
  • Ask only high-value clarification questions.
  • Do not walk through all 47 TOE elements.
  • Mark low-confidence scores clearly.

Complete mode: Full TOE Assessment.

  • Before switching, ask the user if they want the complete 47-element assessment.
  • Load references/toe-elements.md.
  • Walk through all TOE elements.
  • Score each element from 1 to 5.
  • Separate user evidence from AI inference.
  • Mark confidence for every score.

Use complete mode only when the user explicitly asks for it or agrees after being asked.

References

Load only what is needed:

  • references/output-format.md: required when producing final report.
  • references/scoring-rules.md: required when assigning scores, severity, and confidence.
  • references/management-approaches.md: required when recommending management fit.
  • references/toe-elements.md: required for complete 47-element assessment, optional for fast scan if element names are needed.

Input Rules

Accept free-form project descriptions, rough thoughts, copied notes, or partially structured text. Do not require JSON, YAML, templates, or forms.

Keep the interview light. Ask one question at a time only when the answer would change the diagnosis materially.

Do not add a stakeholder-question section. It is fine to note that complexity is subjective and should be reassessed with other perspectives, but do not generate stakeholder interview questions.

Complexity Principles

  • Complexity is subjective: different actors can perceive the same project

differently.

  • Complexity evolves over the project lifecycle.
  • TOE dimensions are Technical, Organizational, and External.
  • Detail complexity means many parts, interfaces, dependencies, or disciplines.
  • Dynamic complexity means uncertainty, change, limited predictability, shifting

actors, or unstable context.

  • Severity is based on TOE contribution plus impact on project progress.
  • Do not flatten the project into one average. Preserve hotspots.
  • The goal is fit-for-purpose management, not generic project management advice.

Output Rules

Use the structure in references/output-format.md.

Required sections:

  1. Summary
  2. Findings by Category
  3. Quadrant Matrix
  4. Overall Quadrant
  5. Hotspot Quadrants
  6. Complexity Map
  7. Management Fit
  8. Handoff

Do not include:

  • Action plan
  • Stakeholder questions
  • "What's Already Strong" section
  • Machine-readable block
  • JSON/YAML input or output mode

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
139
Repository forks
15
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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