cn-thesis-research-design

Helps design experiments and pick research methods for a graduate thesis, checking if they fit your questions and work.

Installation
Run `npx skills add "https://github.com/cyssayyes-source/academic-dissertation" --skill "cn-thesis-research-design"` to install this skill, then follow its SKILL.md instructions for my next request.

Paste this into Claude Code, Cursor, or any agent that can run commands.

SKILL.mdShow the author's original SKILL.md
---
name: cn-thesis-research-design
description: Support Chinese graduate thesis research design, methodology selection, experimental design, validation strategy, feasibility review, ethics/compliance checks, and method chapter planning. Use when the user needs to design experiments, choose methods, evaluate variables, plan sampling, define controls, or connect methods to thesis questions.
---

# CN Thesis Research Design

This skill uses a router plus manifest architecture. Do not apply the research-design 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.
   - `design_mode`: method-selection, experimental-design, validation-plan, or ethics-risk.
4. Read only the fragments mapped to the detected values.
5. State the detected values in one short line before the main answer.
6. Run `static/core/workflow.md` end to end.

## Boundaries

- Keep the design executable under the student's real time, data, material, equipment, and approval constraints.
- Do not invent approvals, sample availability, experimental results, or statistical power.
- Mark missing facts as `[TBD: ...]`.

Ships with 8 supporting files:

  • agents/openai.yaml
  • manifest.yaml
  • README.md
  • static/core/workflow.md
  • static/fragments/design_mode/ethics-risk.md
  • static/fragments/design_mode/experimental-design.md
  • static/fragments/design_mode/method-selection.md
  • static/fragments/design_mode/validation-plan.md

Mirrored from the author's public source. Install counts from the open skills registry.

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