
Vibe Research Workflow
FreeStreamline your AI-assisted research process effectively.
Free · Opens the source repo
What Vibe Research Workflow does
Vibe Research Workflow is designed to enhance the efficiency of academic research by leveraging AI tools for mechanical tasks while ensuring that researchers maintain control over their intellectual contributions. This skill organizes research activities into three distinct sub-flows: Vibe Coding, Vibe Figure, and Vibe Writing. Each sub-flow allows researchers to delegate repetitive tasks such as coding, figure rendering, and language polishing to AI, thereby increasing productivity without compromising the integrity of their work.
The skill operates under a set of six behavioral rules that clearly delineate acceptable AI assistance from academic misconduct. These rules emphasize the importance of user ownership over research ideas, designs, and conclusions, while allowing for AI's role in enhancing the quality of the output. This ensures that researchers can utilize AI as a supportive tool rather than a substitute for their critical thinking and judgment.
When starting a new research session, users can invoke this skill to receive guidance on which AI tools to use based on their current phase—whether it be coding, figure creation, or writing. It also provides a structured workflow plan that helps users navigate through multi-day projects involving AI tools, ensuring that they remain compliant with academic standards throughout the process.
Vibe Research Workflow is particularly beneficial for researchers looking to integrate AI into their work without losing sight of their academic responsibilities. It serves as a meta-skill that not only orchestrates tool selection but also enforces integrity checks at the end of each session, thus promoting a responsible approach to AI-assisted research.
When to use it
Use this skill when starting a new AI-assisted research session or when seeking guidance on tool selection for specific tasks.
When not to use it
This skill is not suitable for drafting complete papers or implementing code directly; it is designed to guide the process rather than execute it.
What you can build with it
Starting a New Research Session
Invoke this skill at the beginning of your research day to set up your workflow and select the appropriate AI tools.
Guidance on Tool Selection
Use the skill when unsure which AI tool to apply for coding, figure making, or writing tasks.
Ensuring Compliance with Academic Standards
Employ this skill to verify that your use of AI aligns with your institution's policies on academic integrity.
How to install Vibe Research Workflow
View source1. Install with the skills CLI
npx skills add hkustdial/supervisor-skills/vibe-research-workflow --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by hkustdialVibe Research Workflow
Overview
Vibe Research is the modern research workflow where large language models and AI coding tools handle mechanical tasks (implementation, figure rendering, language polish) while the researcher retains full ownership of research direction, problem framing, experimental design, and factual accuracy. The goal is a two-to-five times productivity gain on routine tasks without compromising academic integrity.
The skill has three sub-flows: Vibe Coding (AI-assisted code), Vibe Figure (AI-assisted figure production), Vibe Writing (AI-assisted prose polish). Each is governed by six behavioural rules that draw a hard line between acceptable use (mechanical acceleration, auxiliary suggestions, style correction) and academic misconduct (fabricated citations, outsourced scientific judgment, hidden AI authorship).
This skill is a meta-skill that orchestrates tool selection, flow design, and integrity enforcement across a research session. It consolidates the the curriculum's Vibe Research section into a single invocable procedure.
When to use this skill
- Starting a new AI-assisted work block (a morning of coding, a figure day, a writing session).
- The user asks 'how to use AI for research', 'Vibe Coding tips', 'AI-assisted writing workflow', 'which AI tool for this'.
- The user is choosing between Cursor, Claude Code, Codex, Figma, Gemini, or other tools.
- The user wants a workflow plan for a multi-day project involving AI.
- The user suspects AI output has drifted into unacceptable territory (fabricated citations, outsourced reasoning).
When NOT to use this skill
- The user wants paper prose drafted. That is legitimate under this
plugin's evidence discipline and belongs to the drafting skills:
route to
paper-writer(any section) orintro-drafter(Introductions), whose rules forbid fabricated substance (every factual claim traces to the user's materials, verified retrieval, or field common knowledge). Remind the user that venue and school AI-disclosure policies still apply, and that they remain responsible for verifying every drafted passage against their actual research. What stays forbidden is fabrication, not drafting. - The user wants a code implementation done. This skill guides the process; it does not replace the implementation itself.
- The user wants to evaluate research direction. Use
idea-evaluator(see handbook 2.3 for disruptive-innovation deep-dive).
Core procedure
Step 1: Phase classification
Decide which phase the user is in: coding, figure, writing, or mixed.
Step 2: Behavioural rules recap
See: references/behavior-guidelines.md for the full six-rule set.
State the six rules succinctly at the start of the session:
- AI-assisted work is permitted for literature search and organisation, code and debugging support, language and expression polish.
- Research ideas, problems, designs, technical paths, experimental plans, core conclusions, and novelty must be the user's own and fully understood. Drafting assistance is legitimate within that boundary: the substance belongs to the user; the linguistic realization may be AI-assisted; the verification duty (rule 3) is unchanged.
- Every AI-generated or AI-assisted passage is verified by the user against the actual research process, experimental results, and facts.
- No fabricated citations; references come from the user's own reading and confirmation.
- No academic misconduct, including fabricated data, experimental results, or plagiarism concealment.
- Venue or school AI-disclosure requirements are honoured.
These rules are non-negotiable and enforced in the integrity gate.
Step 3: Phase-specific procedure
For Vibe Coding, see: references/vibe-coding.md.
For Vibe Figure, see: references/vibe-figure.md.
For Vibe Writing, see: references/vibe-writing.md.
Each phase has its own core techniques (Plan Mode, Small Steps, Clear Requirements for coding; four-step figure workflow; red-line rules for writing).
Step 4: Tool selection
See: references/tool-selection.md for the tool matrix.
Match tool to phase:
- Coding: Cursor (IDE-native) or Claude Code (agentic CLI) or Codex.
- Figure: PowerPoint plus Figma for static figures; Matplotlib plus Seaborn for experimental results; Gemini for first-draft sketches.
- Writing: Claude or ChatGPT for language polish; Grammarly for grammar; Overleaf for LaTeX.
Step 5: Integrity gate
Before closing the session, run the checks in the Integrity gate section below.
Step 6: Output
Emit the workflow plan in the Output format below.
Integrity gate
This skill is a behavioural nudge, not a verification engine. Most bullets are tagged [user-attest] because the LLM cannot actually observe the user's private verification work. [inspection] tags apply only to checks the LLM can confirm from its own outputs and the user's session history.
Before ending the session:
- [inspection] The six behavioural rules have been stated at the start of the session.
- [user-attest] No fabricated citation has been introduced or accepted. (The LLM cannot verify citations without web access; the user confirms via DBLP or arXiv.)
- [user-attest] The user's research direction, framing, and contributions are owned by the user, not by AI.
- [user-attest] Every AI-generated code block has been reviewed and tested by the user.
- [user-attest] Every AI-drafted paragraph has been rewritten or at minimum sentence-by-sentence verified by the user.
- [attestation] Venue or school AI-disclosure rules have been checked. The skill asks the user to name the venue and surfaces known policy types; the user confirms compliance.
- [user-attest] The user's own expertise is still driving the project; AI is an accelerator, not a replacement.
Any red-line violation (rules 1-6) stops the session. The user should fix the violation or consult an advisor before continuing. Because most bullets are [user-attest], the skill's effective value is the reminder at session start, not a runtime block.
Output format
1. Phase
- Primary phase: <coding or figure or writing or mixed>
- Secondary phases: <list>
2. Behavioural rules recap
- Rule 1-6 (see references/behavior-guidelines.md): acknowledged
3. Workflow plan
| Time block | Phase | Activity | Tool | User check |
|---|---|---|---|---|
| ... | ... | ... | ... | ... |
4. Tool recommendations
| Phase | Primary tool | Alternative | Reason |
|---|---|---|---|
| Coding | ... | ... | ... |
| Figure | ... | ... | ... |
| Writing | ... | ... | ... |
5. Red-line reminders
- ... (from references/vibe-writing.md)
6. Integrity gate plan
- Verification points: ...
- AI-disclosure requirements for the target venue: ...
Frequently asked questions about Vibe Research Workflow
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