---
title: "LLM-Adapters vs academic-research-skills"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agi-edgerunners-llm-adapters-vs-imbad0202-academic-research-skills"
tools: ["agi-edgerunners-llm-adapters", "imbad0202-academic-research-skills"]
---

# LLM-Adapters vs academic-research-skills

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick LLM-Adapters when license: LLM-Adapters is Apache-2.0, academic-research-skills is Other; pick academic-research-skills when license: academic-research-skills is Other, LLM-Adapters is Apache-2.0.

[LLM-Adapters](https://arxiv.org/abs/2304.01933) reports 1.2k GitHub stars, 119 forks, and 55 open issues, last pushed Mar 10, 2024. [academic-research-skills](https://buymeacoffee.com/crucify020v) has 37k stars, 3.0k forks, and 9 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [LLM-Adapters's repository](https://github.com/AGI-Edgerunners/LLM-Adapters) and [academic-research-skills's repository](https://github.com/Imbad0202/academic-research-skills).

| | [LLM-Adapters](/tools/agi-edgerunners-llm-adapters.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) |
| --- | --- | --- |
| Tagline | Code for EMNLP 2023 Paper on Parameter-Efficient Fine-Tuning using Adapters | Academic Research Skills for Claude Code: research → write → review → revise → finalize |
| Stars | 1,233 | 37,300 |
| Forks | 119 | 3,043 |
| Open issues | 55 | 9 |
| Language | Python | Python |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Other |
| Categories | LLM Frameworks, Model Training | LLM Frameworks, Data & Retrieval |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [LLM-Adapters](/tools/agi-edgerunners-llm-adapters.md) | [academic-research-skills](/tools/imbad0202-academic-research-skills.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 853d | 0d |
| Open issues (now) | 55 | 9 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/agi-edgerunners-llm-adapters/trust.md) | [trust report](/tools/imbad0202-academic-research-skills/trust.md) |

## Choose when

### Choose LLM-Adapters if…

- License: LLM-Adapters is Apache-2.0, academic-research-skills is Other.
- Tags unique to LLM-Adapters: fine-tuning, adapters, large-language-models, parameter-efficient.
- Also covers Model Training.

### Choose academic-research-skills if…

- License: academic-research-skills is Other, LLM-Adapters is Apache-2.0.
- Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude.
- Also covers Data & Retrieval.

## When NOT to use LLM-Adapters

- Last GitHub push was 853 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on LLM-Adapters.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

## When NOT to use academic-research-skills

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

## Common questions

### What is the difference between LLM-Adapters and academic-research-skills?

LLM-Adapters: Code for EMNLP 2023 Paper on Parameter-Efficient Fine-Tuning using Adapters. academic-research-skills: Academic Research Skills for Claude Code: research → write → review → revise → finalize. See the comparison table for live GitHub stats and shared categories.

### When should I choose LLM-Adapters over academic-research-skills?

Choose LLM-Adapters over academic-research-skills when License: LLM-Adapters is Apache-2.0, academic-research-skills is Other; Tags unique to LLM-Adapters: fine-tuning, adapters, large-language-models, parameter-efficient; Also covers Model Training.

### When should I choose academic-research-skills over LLM-Adapters?

Choose academic-research-skills over LLM-Adapters when License: academic-research-skills is Other, LLM-Adapters is Apache-2.0; Tags unique to academic-research-skills: peer-review, academic-writing, ai-research, claude; Also covers Data & Retrieval.

### When should I avoid LLM-Adapters?

Last GitHub push was 853 days ago (dormant maintenance, Mar 10, 2024). Validate activity before betting a new project on LLM-Adapters. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

### When should I avoid academic-research-skills?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough.

### Is LLM-Adapters or academic-research-skills more popular on GitHub?

academic-research-skills has more GitHub stars (37,300 vs 1,233). Stars measure visibility, not whether either tool fits your constraints.

### Are LLM-Adapters and academic-research-skills open source?

Yes - both are open-source projects on GitHub (LLM-Adapters: Apache-2.0, academic-research-skills: Other).

### Where can I find alternatives to LLM-Adapters or academic-research-skills?

GraphCanon lists graph-backed alternatives at [LLM-Adapters alternatives](/tools/agi-edgerunners-llm-adapters/alternatives) and [academic-research-skills alternatives](/tools/imbad0202-academic-research-skills/alternatives) ([LLM-Adapters markdown twin](/tools/agi-edgerunners-llm-adapters/alternatives.md), [academic-research-skills markdown twin](/tools/imbad0202-academic-research-skills/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/agi-edgerunners-llm-adapters-vs-imbad0202-academic-research-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, LLM-Adapters or academic-research-skills?

LLM-Adapters: Dormant. academic-research-skills: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for LLM-Adapters and academic-research-skills?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLM-Adapters trust report](/tools/agi-edgerunners-llm-adapters/trust); [academic-research-skills trust report](/tools/imbad0202-academic-research-skills/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=agi-edgerunners-llm-adapters`](/api/graphcanon/graph?tool=agi-edgerunners-llm-adapters)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
