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research-architect-design

@mmthebest · 收录于 1 周前

Converts a confirmed research spine and exemplar adaptation plan into an executable, field-appropriate inquiry, analysis, validation, and user action plan.

适合你,如果你需要将研究思路转化为具体的执行计划

/ 下载安装
research-architect-design.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add mmthebest/research-architect/research-architect-design
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- mmthebest/research-architect/research-architect-design
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify mmthebest/research-architect/research-architect-design
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
63GitHub stars
~824最小装载
~824含声明引用
~869文本包总量
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怎么用

技能原文 SKILL.md作者撰写 · MIT · 4628ef0

Research Architect Study Design

Use this branch after confirmed_research_spine.md exists.

Blocking rule

When the confirmed research spine is missing, return to research-architect-literature for user confirmation. When a target paper exists, also require a usable exemplar_adaptation_plan.md.

Inputs

Read:

paper_output/confirmed_research_spine.md
paper_output/sota_gap_map.md
paper_output/source_inventory.md
paper_output/project_config.json
paper_output/exemplar_logic_profile.md       # when target references exist
paper_output/exemplar_adaptation_plan.md     # when target references exist

Read references/design-family-grammars.md and select the grammar that matches the target paper, question, and available evidence.

Required outputs

Create:

paper_output/study_design_brief.md
paper_output/analysis_plan.md
paper_output/evaluation_plan.md
paper_output/study_component_registry.md
paper_output/threats_to_validity.md

For experiment-centered or computational projects, also create:

paper_output/experiment_registry.md

Read an existing experiment_registry.md as a compatible specialized view of the study component registry.

Study design table

| Component | Decision | Rationale | Reference Principle Adapted | Claim Supported | Risk | Mitigation | |---|---|---|---|---|---|---| | Research question | | | | | | | | Theoretical/conceptual orientation | | | | | | | | Unit, case, population, or corpus | | | | | | | | Evidence source or research material | | | | | | | | Sampling or selection logic | | | | | | | | Data-generation or source-construction procedure | | | | | | | | Analysis or interpretation approach | | | | | | | | Comparison, counterfactual, rival explanation, or warrant | | | | | | | | Evaluation or credibility criterion | | | | | | | | Sensitivity, triangulation, or scope check | | | | | | | | Negative case, counterexample, or failure condition | | | | | | | | Ethics, access, and researcher-position considerations | | | | | | | | Inference and transfer boundary | | | | | | |

Use only rows that serve the selected design family and claims.

Study component registry

Use:

| Component ID | Research Function | User Action | Evidence or Material | Analysis or Interpretation | Comparison or Warrant | Output | Claim Supported | Completion Criterion | Status | |---|---|---|---|---|---|---|---|---|---|

This registry is the user's action plan. Every row should explain what to do, why it is needed, what artifact it produces, and which claim or boundary it serves.

Design families

Supported families include:

  • quantitative descriptive or associational;
  • quantitative causal or explanatory;
  • qualitative interpretive;
  • case study, comparative, historical, archival, or process-tracing;
  • mixed methods;
  • theoretical, conceptual, critical, or normative;
  • systematic, scoping, or integrative review;
  • computational, experimental, or design/build/evaluation.

Hybrid studies may combine grammars when the integration point is explicit.

Adaptive terminology

Translate the target paper's function rather than copying its vocabulary:

  • baseline/control -> comparison, counterfactual, contrast, negative case, rival explanation, or counterargument;
  • metric -> evaluation, credibility, or warrant criterion;
  • robustness -> sensitivity, triangulation, rival-explanation, dependability, or scope check;
  • figure -> evidence display, including tables, quotations, matrices, process maps, conceptual models, and joint displays;
  • generalization -> statistical generalization, analytical generalization, theoretical transfer, or contextual transferability.
Rules
  • Every study component must support a claim, rule out an alternative, establish credibility, or define scope.
  • Every recommended action should point to the reference-paper function it adapts.
  • Match validity criteria to the design family.
  • Quantitative association does not support causal language without a causal design.
  • Qualitative interpretation requires context, selection logic, researcher role, analytic transparency, and negative-case or alternative-interpretation checks.
  • Case and historical work requires case/source selection, source criticism, rival explanations, and bounded inference.
  • Conceptual and normative work requires explicit premises, argument steps, counterarguments, and applicability boundaries.
  • Mixed-method conclusions require a declared integration point.
  • Return to literature or brainstorming when no feasible design can support the selected spine.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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