AI TOOLS RADAR
Proposer un outil
Tous les Skills / CYSSAYYES-SOURCE
cyssayyes-source/academic-dissertation

cn-thesis-data-figures

Support Chinese graduate thesis data processing, statistical analysis planning, figure/table design, reproducibility checks, and result presentation.

Voir la source
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

CN Thesis Data Figures

This skill uses a router plus manifest architecture. Do not apply the data/figure workflow from memory.

Routing Protocol

  1. Read manifest.yaml.
  2. Read every path listed in always_load.
  3. Detect the axis values from the user request:
  • degree_level: master, doctoral, professional, or undergraduate.
  • discipline: life-sciences, computer-science, humanities-social-sciences, engineering, or generic.
  • thesis_type: empirical-experimental, mechanism-hypothesis, method-protocol, engineering-system, review-synthesis, or case-text-analysis.
  • language: zh, en, or bilingual.
  • analysis_mode: data-audit, statistics-plan, figure-design, reproducibility-check, or result-interpretation.
  1. Read only the fragments mapped to the detected values.
  2. State the detected values in one short line before the main answer.
  3. Run static/core/workflow.md end to end.

Boundaries

  • Define the figure/data contract before giving analysis or chart advice.
  • When the user needs a thesis-wide figure/table inventory for later drafting, use or update output/thesis-context/figure-table-list.md with thesis location, bilingual caption/title, evidence shown, supported claim, and missing facts.
  • Do not invent data, sample size, statistical significance, or image content.
  • Apply the thesis figure style specification for typography, axes, lines, color, grayscale printing, and multi-panel layout when figures are designed or reviewed.
  • Keep Word/docx thesis insertion needs in view unless the user chooses another target.