Mechanical Engineering Research
SkillDev toolsApply 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.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
| Task | Read |
|---|---|
| Research brief or trade study | brief-template.md |
| Technical analysis, DOE, plotting, or results discussion | technical-writing-analysis.md |
| Equation explanations, claim-evidence audit, methods completeness, or figure/equation narrative | technical-argument-audit.md |
| Reader-focused technical-prose audit | technical-prose-clarity.md |
| Abstract, manuscript, proposal, or reviewer-response editorial pass | anti-formulaic-writing.md |
| Paper drafting or structural revision | paper-writing-style.md |
| Review article drafting, revision, or evidence-mapped narrative/scoping review | review-article-workflow.md |
| Reviewer response, highlighted manuscript, Overleaf package, or submission audit | manuscript-revision-submission.md |
| Literature review or research-gap synthesis | literature-review.md |
| Citation repair, bibliography audit, or claim verification | citation-integrity.md |
| Dataset, software, benchmark, or repository-centered review | dataset-software-review.md |
| Experiment planning or uncertainty analysis | experimental-design-and-uncertainty.md |
| CFD, ROM, surrogate, or ML credibility | model-verification-and-ml-credibility.md |
| Material result change or construct redefinition | result-change-and-construct-audit.md |
| Data provenance, benchmark design, research package, or public release | data-provenance-and-release.md |
| Figure, table, Word, PDF, spreadsheet, or slide QA | scientific-figure-and-artifact-qa.md |
| Scientific schematic, graphical abstract, facility, workflow, or system diagram | research-schematic-design |
| Thermal-fluid AI/ML workflow | ai-tools-thermal-fluids.md |
| Research code, pipeline, notebook, or package | research-coding.md |
| Overleaf, VS Code, GitHub, git, or archival toolchain | research-toolchain.md |
| Federal proposal or technical narrative | proposal-development.md |
| Research presentation or poster | presentation-slides.md |
| Mechanical-engineering teaching material | teaching-mechanical-engineering.md |
| Invention disclosure or commercialization support | innovation-commercialization.md |
| Research-project logo, laboratory or software identity, icon, wordmark, or brand asset pack | research-logo-and-identity.md |
| Explicit request to match Han Hu's established research-writing style | han-hu-research-style.md |
| Calibrated Han Hu manuscript drafting or revision with a private corpus | han-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
github.com/hashgraph-online/awesome-codex-plugins
Related picks
Skill · k-dense-ai
The pick for LaTeXlatex-drawing-guide
Skill · brycewang-stanford
The pick for LaTeXlark-markdown
Skill · larksuite
The pick for Markdownmarkdown-formatter
Skill · nvidia
The pick for Markdowngolden-pdf-ch
Skill · yusufkaraaslan
The pick for PDFpdf-co-automation
Skill · composio-community
The pick for PDF