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Yila-AI/awesome-research-skills
Open-source Agent Skills for planning, drafting, revising, and polishing SCI/SSCI papers—while preserving evidence, citations, and claim strength.
History
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skills/academic-humanizer/SKILL.md
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skills/research-presentation/SKILL.md
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skills/sci-ssci-polishing/SKILL.md
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skills/science-research-writing/SKILL.md
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Heat
6.8- Star growth, last 7 daysNot available
- Star growth, last 24 hoursNot available
- Rank movement, last 7 daysNot available
- Commits, last 30 daysNot available
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekNot available
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Individual skills in this repository
- academic-humanizer
skills/academic-humanizer - research-presentation
skills/research-presentation - sci-ssci-polishing
skills/sci-ssci-polishing - science-research-writing
skills/science-research-writing
How it works
academic-humanizer
When your agent uses it
Use when researchers ask to remove generic, templated, or AI-like patterns from Chinese or English academic prose, make an AI-assisted draft sound more like the author's own scholarly voice, or audit a paper for “AI味”. Preserve every scientific claim, number, equation, citation, limitation, and uncertainty. Not for detector evasion or ordinary translation and grammar-only editing.
What it loads into context
Frontmatter
89 tokensAlways available to the agent
SKILL.md
1,340 tokensWhen the skill is activated
Reference documents
3,274 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Load only what is needed
- Use this Skill when
- Inputs
- Workflow
- Editing intensity
- Integrity boundary
Scripts executed separately
scripts/check_invariants.py
Files
SKILL.mdcore6,829 bytesSKILL.mdcore6,829 bytesSKILL.mdcore6,829 bytesSKILL.mdcore6,829 bytesTHIRD_PARTY_NOTICES.mddoc1,360 bytesagents/openai.yamlasset318 bytesreferences/output-contract.mddoc1,968 bytesreferences/pattern-catalog.mddoc7,276 bytesreferences/preservation-and-evidence.mddoc3,541 bytesreferences/voice-calibration.mddoc2,454 bytesscripts/check_invariants.pyruns4,371 bytes
Read SKILL.md
# Academic Humanizer
Remove the template voice, not the scholarship. Make academic prose more specific, natural, and recognizably the author's while preserving the research exactly.
This Skill improves writing quality. It does not certify that text is human-written, optimize for an AI detector, or remove an author's obligation to disclose AI assistance under the relevant journal, institution, or funder policy.
## Load only what is needed
- Always read `references/preservation-and-evidence.md`, `references/pattern-catalog.md`, and `references/output-contract.md`.
- Read `references/voice-calibration.md` only when the author provides writing samples or explicitly asks to match their voice.
- When source and revision are available as local text, use `scripts/check_invariants.py` as a deterministic first check. A passing result never replaces the semantic audit.
## Use this Skill when
View the complete source on GitHubresearch-presentation
When your agent uses it
Create, revise, and quality-check source-grounded research presentations from papers, research notes, data, or manuscripts. Use for paper-to-slides, research presentation, scientific presentation, journal club, lab meeting, conference talk, seminar, thesis defense, dissertation defense, PPT/PPTX, 学术PPT, 科研汇报, 论文汇报, 组会汇报, 答辩PPT, and related slide-deck tasks.
What it loads into context
Frontmatter
116 tokensAlways available to the agent
SKILL.md
2,160 tokensWhen the skill is activated
Reference documents
7,535 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Route the request
- Non-negotiable contracts
- Paper-to-Slides workflow
- Output contract
- Bundled resources
Scripts executed separately
scripts/audit_pptx.pyscripts/render_slides.py
Files
NOTICEasset1,470 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesSKILL.mdcore10,280 bytesagents/openai.yamlasset279 bytesreferences/layouts.mddoc6,600 bytesreferences/narrative-planning.mddoc1,834 bytesreferences/paper-extraction.mddoc2,316 bytesreferences/qa-contract.mddoc1,419 bytesreferences/rendering.mddoc1,202 bytesreferences/themes.mddoc17,943 bytesscripts/audit_pptx.pyruns2,442 bytesscripts/render_slides.pyruns1,663 bytes
Read SKILL.md
# Research Presentation
Turn a paper or research corpus into a presentation that an audience can follow, verify, and discuss. The core promise is **paper to slides without losing the evidence**: preserve source meaning, choose a cumulative narrative, make figures legible, keep claims bounded, and deliver an editable deck with notes and a rendered QA trail.
This Skill owns the workflow from source inspection through final slide QA. It does not replace the author's scientific judgment, invent results, or silently strengthen a claim.
## Route the request
Choose the narrowest route that satisfies the request:
| Input / request | Route |
|---|---|
| One or more PDFs, papers, or manuscripts | Full paper-to-slides workflow below; read `references/paper-extraction.md` first |
| Research notes, tables, figures, or a protocol | Evidence-led presentation workflow; mark unsupported fields instead of filling them |View the complete source on GitHubsci-ssci-polishing
When your agent uses it
Use when researchers need Chinese academic prose translated into publication-oriented English or English manuscript paragraphs and complete sections polished for SCI, SSCI, or interdisciplinary submission.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
1,128 tokensWhen the skill is activated
Reference documents
2,599 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Load only what is needed
- Inputs
- Workflow
- Editing intensity
- Refusal boundary
- Output
Scripts executed separately
scripts/check_invariants.py
Files
SKILL.mdcore5,948 bytesSKILL.mdcore5,948 bytesSKILL.mdcore5,948 bytesagents/openai.yamlasset313 bytesreferences/corpus-method.mddoc3,479 bytesreferences/invariants.mddoc3,440 bytesreferences/output-contract.mddoc1,640 bytesreferences/rhetorical-routing.mddoc4,888 bytesscripts/check_invariants.pyruns2,978 bytes
Read SKILL.md
# SCI/SSCI Academic Polishing
Polish the writing, not the science. Improve clarity, precision, coherence, concision, and disciplinary register while treating the author's evidence and claims as immutable unless the author explicitly authorizes a substantive change.
## Load only what is needed
- Always read `references/invariants.md` and `references/output-contract.md`.
- Read `references/rhetorical-routing.md` when polishing a complete section or when the section type is known.
- Read `references/corpus-method.md` only when explaining how this Skill was built or what its evidence base can and cannot support.
## Inputs
Accept either:
View the complete source on GitHubscience-research-writing
When your agent uses it
Use when researchers need to plan, draft, revise, or audit an empirical research paper from their own materials, including Introduction, Methods, Results, Discussion, Conclusion, Abstract, and Title, with evidence-preserving and target-journal-aware guidance.
What it loads into context
Frontmatter
65 tokensAlways available to the agent
SKILL.md
1,578 tokensWhen the skill is activated
Reference documents
4,277 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Load only what is needed
- First response: inspect before asking
- Route the task
- Build an evidence ledger
- Write by information function
- Audit every draft
- Refusal boundary
- Return a novice-readable result
Scripts executed separately
scripts/check_draft_invariants.pyscripts/validate_writing_model.py
Files
SKILL.mdcore8,365 bytesSKILL.mdcore8,365 bytesSKILL.mdcore8,365 bytesagents/openai.yamlasset245 bytesassets/evidence-ledger.csvasset76 bytesassets/section-function-map.mddoc668 bytesassets/target-journal-model.jsonasset130 bytesreferences/abstract.mddoc1,579 bytesreferences/certainty-and-claim-strength.mddoc2,374 bytesreferences/conclusion.mddoc1,404 bytesreferences/discussion.mddoc2,881 bytesreferences/input-output-contract.mddoc3,785 bytesreferences/introduction.mddoc1,840 bytesreferences/methods.mddoc1,791 bytesreferences/results.mddoc1,894 bytesreferences/reverse-engineering-protocol.mddoc2,958 bytesreferences/title.mddoc1,465 bytesscripts/check_draft_invariants.pyruns4,567 bytesscripts/validate_writing_model.pyruns3,563 bytes
Read SKILL.md
# Science Research Writing
Turn the author's research materials into the next useful manuscript deliverable. Guide the writing process without replacing scientific judgment or inventing intellectual content.
## Load only what is needed
- Always read `references/input-output-contract.md` and `references/certainty-and-claim-strength.md`.
- Read `references/reverse-engineering-protocol.md` when target papers are supplied or the user requests journal adaptation.
- Read only the relevant section reference: `introduction.md`, `methods.md`, `results.md`, `discussion.md`, `conclusion.md`, `abstract.md`, or `title.md`.
- Use `assets/section-function-map.md` for planning, `assets/evidence-ledger.csv` for provenance-sensitive drafting, and `assets/target-journal-model.json` for target-paper modeling.
## First response: inspect before asking
Read all supplied materials first. Identify:View the complete source on GitHubSkills included
- academic-humanizer
- research-presentation
- sci-ssci-polishing
- science-research-writing
Repository facts
- License
- Apache-2.0
- Created
- Jul 17, 2026
- Last pushed
- Oct 21, 2026
- Forks
- 18
- Open issues
- 0
- Project activity
- Active
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 4, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 20 notes
skills/academic-humanizer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/academic-humanizer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/academic-humanizer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/research-presentation/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/sci-ssci-polishing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/sci-ssci-polishing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/science-research-writing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/science-research-writing/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 8 network referencesin 5 files: academic-humanizer/THIRD_PARTY_NOTICES.md:5 research-presentation/NOTICE:1 science-research-writing/assets/section-function-map.md:13 and 2 more
- No hidden or obfuscated text
- No instruction overrides
- 6 executable scriptsin 6 files: academic-humanizer/scripts/check_invariants.py:1 research-presentation/scripts/audit_pptx.py:1 research-presentation/scripts/render_slides.py:1 and 3 more
- No access to secrets
- No requests to vote in Hot
Show all 14 signals by file
skills/academic-humanizer/THIRD_PARTY_NOTICES.md
- Network accessline 5
- **Academic Humanizer**, AIScientists-Dev, <https://github.com/AIScientists-Dev/academic-humanizer> - Network accessline 14
This work builds on "humanizer" by blader (https://github.com/blader/humanizer, MIT) and adopts - Network accessline 15
standards from "ARMS" (https://github.com/koaeraser/ARMS); see the Acknowledgments in README.md.
skills/academic-humanizer/scripts/check_invariants.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/research-presentation/NOTICE
skills/research-presentation/scripts/audit_pptx.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/research-presentation/scripts/render_slides.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/sci-ssci-polishing/scripts/check_invariants.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/science-research-writing/assets/section-function-map.md
- Network accessline 13
If this map is reused or adapted, credit the **Section Function Map** from [Yila-AI/awesome-research-skills](https://github.com/Yila-AI/awesome-research-skills).
skills/science-research-writing/references/certainty-and-claim-strength.md
- Network accessline 54
If this contract or ladder is reused or adapted, credit the **Claim-Strength Contract** from [Yila-AI/awesome-research-skills](https://github.com/Yila-AI/awesome-research-skills).
skills/science-research-writing/references/reverse-engineering-protocol.md
- Network accessline 59
If this protocol is reused or adapted, credit the **Target-Journal Model Builder** from [Yila-AI/awesome-research-skills](https://github.com/Yila-AI/awesome-research-skills).
skills/science-research-writing/scripts/check_draft_invariants.py
- Executable scriptline 1
#!/usr/bin/env python3
skills/science-research-writing/scripts/validate_writing_model.py
- Executable scriptline 1
#!/usr/bin/env python3
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 12 facts
- Network access in prose of documentationacademic-humanizer/THIRD_PARTY_NOTICES.md:5Low confidence
- Network access in code of documentationacademic-humanizer/THIRD_PARTY_NOTICES.md:14Low confidence
- Network access in code of documentationacademic-humanizer/THIRD_PARTY_NOTICES.md:15Low confidence
- Executable script in code of a file that runsacademic-humanizer/scripts/check_invariants.py:1High confidence
- Executable script in code of a file that runsresearch-presentation/scripts/audit_pptx.py:1High confidence
- Executable script in code of a file that runsresearch-presentation/scripts/render_slides.py:1High confidence
- Executable script in code of a file that runssci-ssci-polishing/scripts/check_invariants.py:1High confidence
- Network access in prose of documentationscience-research-writing/assets/section-function-map.md:13Low confidence
- Network access in prose of documentationscience-research-writing/references/certainty-and-claim-strength.md:54Low confidence
- Network access in prose of documentationscience-research-writing/references/reverse-engineering-protocol.md:59Low confidence
- Executable script in code of a file that runsscience-research-writing/scripts/check_draft_invariants.py:1High confidence
- Executable script in code of a file that runsscience-research-writing/scripts/validate_writing_model.py:1High confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md skills/academic-humanizer/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md skills/academic-humanizer/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/academic-humanizer/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/academic-humanizer/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/academic-humanizer/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/academic-humanizer/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.