Mechanical Engineering Research

SkillDev tools

Apply source-aware mechanical-engineering judgment to research, analysis, coding, writing, teaching, research identity, and release work. Use for thermal-fluid systems, heat transfer, fluid mechanics, thermodynamics, HVAC, energy systems, turbomachinery, piping, multiphase flow, experiments, correlations, CFD, reduced-order models, AI/ML, uncertainty, engineering datasets, literature reviews, citations, manuscripts, reviewer revisions, Overleaf packages, figures, proposals, research software, reproducibility, public releases, engineering teaching materials, or a research-project logo and visual identity.

Use Mechanical Engineering Research in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Mechanical Engineering Research and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Mechanical Engineering Research skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Mechanical Engineering ResearchStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/hanhuark/mechanical-engineering-research-skill/skills/mechanical-engineering-research/SKILL.md and read by Ahel’s review.

Skill Suite

Use this skill as the cross-cutting coordinator when a request spans multiple research activities. For a focused deliverable, use the specialist skill that owns it:

  • thermal-fluid-analysis: thermal-fluid physics, experiments, CFD, correlations, uncertainty, scaling, and design tradeoffs.
  • research-writing-literature: literature synthesis, citations, introductions, manuscript sections, and figure-led discussion.
  • research-proposal-development: solicitation-aligned proposals, review criteria, preliminary results, milestones, risks, and proposal figures.
  • research-data-analysis: baseline cases, hypothesis-driven DOE, reproducible analysis, plots, CFD/experimental data, and ML evaluation.
  • research-slide-design: research talks, posters, visual logic, speaker notes, and presentation QA.
  • research-schematic-design: publication-quality editable facility, mechanism, workflow, and graphical-abstract schematics.
  • research-mentor-review: constructive student-facing feedback with prioritized, actionable next steps.
  • reviewer-author-loop: iterative reviewer critique, author revision, verification, and re-review.

The coordinator retains the evidence and integrity gates below. Do not load all specialist skills by default; select the smallest combination that fits the actual deliverable.

Core Workflow

  1. Define the engineering decision or research question.

    • Identify the system, geometry, materials or fluid, operating regime, boundary and initial conditions, outputs, constraints, and intended user.
    • Ask only for missing information that materially changes scientific validity or the work path. Otherwise state bounded assumptions and proceed.
  2. Classify the evidence before interpreting it.

    • Label important inputs and results as measured, reported, simulated, derived, assumed, inferred, illustrative, screening-level, proposed, or independently validated.
    • Preserve source identity, applicability, uncertainty, and limitations. Treat search results and AI summaries as discovery aids, not evidence.
  3. Establish the technical invariants.

    • Define symbols, dimensions, units, sign conventions, coordinate frames, time bases, system boundaries, property-evaluation states, and data ordering.
    • Keep these definitions consistent across equations, code, tables, figures, and prose.
  4. Select the simplest credible method.

    • Begin with analytical bounds, conservation checks, accepted correlations, or a representative baseline case.
    • Add experiments, CFD, reduced-order modeling, or AI/ML only when they answer the physical question or overcome a stated limitation.
  5. Verify in proportion to claim strength and consequence.

    • Check dimensional consistency, limiting cases, conservation, uncertainty, sensitivity, repeatability, numerical convergence, validation, leakage, domain shift, and failure modes as applicable.
    • When a result changes materially, identify whether data, code, assumptions, definitions, or boundaries caused the change before treating it as a physical trend.
  6. Produce and verify the actual deliverable.

    • Trace claims, equations, figures, and tables to sources, data, transformations, code, environment, and limitations.
    • Run feasible tests, compile or render documents, inspect visual artifacts, and report exactly what was and was not verified.

Integrity Gates

  • Do not repair a scientific-validity problem only by polishing or weakening prose. Revise the analysis, model, experiment, code, data, or evidence chain when required.
  • Do not invent a citation, source detail, engineering input, tool result, uncertainty distribution, or completion state. Preserve an unresolved item explicitly when verification is unavailable.
  • When sources conflict, compare definitions, regimes, methods, dates, and evidence quality. Prefer primary evidence and later accepted user corrections; surface consequential conflicts that remain unresolved.
  • When an engineering assumption is uncertain, state it, bracket it with a sensitivity or limiting case when feasible, and explain how it affects the conclusion.
  • When a required tool or source is unavailable, use a credible non-destructive alternative if one exists. Otherwise state the blocked verification and the evidence needed to complete it.
  • Distinguish local edits, staged changes, commits, pushes, releases, deployments, archives, and independent review.

Task Router

Read only the references needed for the task.

TaskRead
Research brief or trade studybrief-template.md
Technical analysis, DOE, plotting, or results discussiontechnical-writing-analysis.md
Equation explanations, claim-evidence audit, methods completeness, or figure/equation narrativetechnical-argument-audit.md
Reader-focused technical-prose audittechnical-prose-clarity.md
Abstract, manuscript, proposal, or reviewer-response editorial passanti-formulaic-writing.md
Paper drafting or structural revisionpaper-writing-style.md
Review article drafting, revision, or evidence-mapped narrative/scoping reviewreview-article-workflow.md
Reviewer response, highlighted manuscript, Overleaf package, or submission auditmanuscript-revision-submission.md
Literature review or research-gap synthesisliterature-review.md
Citation repair, bibliography audit, or claim verificationcitation-integrity.md
Dataset, software, benchmark, or repository-centered reviewdataset-software-review.md
Experiment planning or uncertainty analysisexperimental-design-and-uncertainty.md
CFD, ROM, surrogate, or ML credibilitymodel-verification-and-ml-credibility.md
Material result change or construct redefinitionresult-change-and-construct-audit.md
Data provenance, benchmark design, research package, or public releasedata-provenance-and-release.md
Figure, table, Word, PDF, spreadsheet, or slide QAscientific-figure-and-artifact-qa.md
Scientific schematic, graphical abstract, facility, workflow, or system diagramresearch-schematic-design
Thermal-fluid AI/ML workflowai-tools-thermal-fluids.md
Research code, pipeline, notebook, or packageresearch-coding.md
Overleaf, VS Code, GitHub, git, or archival toolchainresearch-toolchain.md
Federal proposal or technical narrativeproposal-development.md
Research presentation or posterpresentation-slides.md
Mechanical-engineering teaching materialteaching-mechanical-engineering.md
Invention disclosure or commercialization supportinnovation-commercialization.md
Research-project logo, laboratory or software identity, icon, wordmark, or brand asset packresearch-logo-and-identity.md
Explicit request to match Han Hu's established research-writing stylehan-hu-research-style.md
Calibrated Han Hu manuscript drafting or revision with a private corpushan-hu-style-calibration-protocol.md

For document, PDF, spreadsheet, or presentation files, also use any available format-specific skill for file manipulation and rendering. Keep this skill responsible for engineering validity and scientific interpretation.

For a manuscript authored or supervised by Han Hu, read han-hu-research-style.md together with the task-specific paper and figure references even when the request does not explicitly ask for style matching. When the user provides or configures a private style-calibration corpus, also read han-hu-style-calibration-protocol.md, retrieve only genre-matched evidence, and report the evidence status of the exemplars used.

For iterative peer-review work, use reviewer-author-loop as the process scaffold when available. Apply this skill to physics, equations, instrumentation, uncertainty, data reduction, figures, modeling assumptions, and claim support.

Output Contract

  • Lead with the engineering answer, finding, or decision.
  • State material assumptions, definitions, units, validity ranges, and evidence class.
  • Explain the governing mechanism and compare credible alternatives or bounds.
  • Report uncertainty, validation, failure modes, and residual risk at the level needed by the claim.
  • Provide traceable artifacts and exact verification results when files or code are involved.
  • End with the smallest useful next calculation, experiment, simulation, source check, or author decision.

Signals

GitHub stars
1k
Forks
316
Last commit
Oct 2026
Advanced
Item type
skill
Key
mechanical-engineering-research
Source
github.com/hashgraph-online/awesome-codex-plugins