academic
Skill0 starsChanged 2 months agoMITView on GitHub
Academic research, literature synthesis, thesis/paper drafting, and peer review. Use for scholarly literature surveys, claim-to-source tracing, academic manuscripts (IMRaD/proposals), and rigorous peer critique. Not for library/API docs (research), one-off document OCR/render (smartdoc), or local book ingest (smartbook-ingest).
3 other projects use a version of this.
Adopted by
Most recently taken up by
- bym6dn6zv5-gif/skillstheir own version, first seen Nov 1, 2026
- modeled-information-format/mif-docs-plugintheir own version, first seen Oct 8, 2026
- andrehuang/academic-writing-agentstheir own version, first seen Mar 28, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- andrehuang/academic-writing-agents★ 200same name
- bym6dn6zv5-gif/skills★ 1same name
- modeled-information-format/mif-docs-plugin★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository47 other files it gives its agents.
- templates/AGENTS.mdAGENTS.md
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- diagram-designSkill
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- emil-design-engSkill
- eval-harnessSkill
- found-this-designSkill
- full-audit-keamananSkill
- full-performance-auditSkill
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- grill-with-docsSkill
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- playwright-qaSkill
- prompt-optimizerSkill
- prototypeSkill
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- scroll-craftSkill
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- skill-stocktakeSkill
- smartbook-ingestSkill
- smartdocSkill
- supabase-opsSkill
- tddSkill
- to-specSkill
- to-ticketsSkill
- vercel-opsSkill
- visual-studioSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Always observe academic integrity standards in references/integrity.md.
- Distinctive: line 41
One mode per session turn: Do not execute all four phases simultaneously.
- Very specific: line 42
Missing toolchains are NOT_CONFIGURED: If compilation tools (Pandoc, LaTeX, typst) or reference managers (Zotero) are absent from the host …
- Distinctive: line 43
No detector evasion or fake similarity scores: Never promise 0% similarity or Turnitin evasion.
- Very specific: line 44
Primary source verification: Every cited factual claim must be backed by a verifiable paper title, DOI, author, or canonical URL.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Academic
One primary specialist for scholarly research workflows: literature surveying, manuscript drafting, structured peer review, and revision ledgers.
Load One Mode
Select exactly one mode reference based on the user's current goal. Do not load all mode files at once:
| Mode | Purpose | Reference |
research | Literature discovery, claim-source matrix, DOI/URL verification | references/research.md |
write | Scholarly drafting (IMRaD, thesis, proposal, methodology) | references/write.md |
review | Criterion-bound critique, methodology evaluation, anti-sycophancy | references/review.md |
revise | Change ledger, rebuttal response matrix, critique addressing | references/revise.md |
Always observe academic integrity standards in references/integrity.md.
Boundaries
| Task | Route |
| Official software library, framework specs, or first-party API facts | research + Context7 |
| Why this codebase made an architectural choice | /why (manual) |
| Document ingestion, OCR, table extraction, or PDF rendering | smartdoc |
| Compiling reusable local textbook/module knowledge | smartbook-ingest |
| Product feature interview and ADR writing | grill-with-docs |
| User-facing prose AI-tell cleanup | humanizer / /unslop |
| Scholarly literature, thesis, manuscript, and peer critique | academic |
smartdoc may render the final locked manuscript to PDF/DOCX. academic owns the academic claims, citations, and scholarly structure; smartdoc owns rendering and document formats.
Core Rules
- One mode per session turn: Do not execute all four phases simultaneously. Complete the current phase and request confirmation before advancing.
- Missing toolchains are NOT_CONFIGURED: If compilation tools (Pandoc, LaTeX, typst) or reference managers (Zotero) are absent from the host environment, report
NOT_CONFIGURED. Never fake build or export success. - No detector evasion or fake similarity scores: Never promise 0% similarity or Turnitin evasion. Do not participate in deceptive rewriting loops.
- Primary source verification: Every cited factual claim must be backed by a verifiable paper title, DOI, author, or canonical URL. Flag unverified claims explicitly as
[UNVERIFIED]. - Anti-sycophancy in review: Academic reviews must stress-test assumptions, assess sample size/method limitations, and identify overclaiming. Honest critique takes priority over compliments.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

