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Thesis research methods

Skill lihongqing2001-gif/chinese-thesis-production-skills/skills/thesis-research-methods

Evidence-first Codex skills for guided Chinese STEM thesis production

Install
npx -y skills add lihongqing2001-gif/chinese-thesis-production-skills --skill thesis-research-methods

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Design and audit reproducible research methods for Chinese STEM thesis chapters, including materials, sample preparation, characterization conditions, controls, replicates, uncertainty, statistical analysis, method-result coverage, and cross-chapter method references. Use when methods are incomplete, detached from results, inconsistent across chapters, or unable to support stated conclusions.

SKILL.md

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Thesis Research Methods

Make every reported result reproducible and every conclusion method-appropriate.

Chapter method workflow

  1. State the chapter research question and comparison design.
  2. List only materials, reagents, samples, instruments, software, and standards used in this chapter.
  3. Record preparation steps with ordered operations, quantities, units, time, temperature, and environment where applicable.
  4. Record each measurement's instrument/model, conditions, calibration or quality control, replicates, preprocessing, and outputs.
  5. Define controls, independent versus technical replicates, exclusions, uncertainty, statistics, and significance rules before interpreting results.
  6. Map every result and claim to the methods and raw evidence that support it.
  7. When a method is unchanged from an earlier chapter, use an explicit cross-chapter reference rather than an isolated sentence with no identifier.

Read references/method-manifest.md before creating a method record and references/statistical-boundaries.md before using significance language.

Evidence boundaries

  • Instrument presence does not establish that all settings were appropriate.
  • A characterization method supports only properties within its measurement capability.
  • Repeated readings from one preparation are not independent biological/material replicates.
  • A fitted curve requires model definition, parameter meaning, goodness-of-fit, and residual checks.
  • “Significant” requires a declared statistical test and design; a visible difference alone is not statistical significance.
  • Missing conditions must be requested or marked blocked, not reconstructed from generic practice.

Tool

python scripts/audit_method_manifest.py chapters/chapter-2-methods.json \
  --project-root . --strict --report reports/chapter-2-methods.json

Completion

Return a complete method manifest, chapter-ready method subsections, method-result-claim coverage, statistical limitations, and exact missing information. Do not write a completed-results narrative while required method conditions or evidence paths are absent.

Keep looking

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