academic-research-skills
Workflow for academic research and writing with AI tools
GraphCanon updated 4w · GitHub synced 4w · 29 views this month
Decision brief
A guide to utilizing Claude Code for AI-supported tasks in academic work such as prompt engineering during research writing phases.
Good fit when
- Research projects requiring detailed literature reviews
- Writing drafts needing structured feedback and iteration
Avoid when
- Tasks that do not involve academic or formal writing environments
- Projects focused on learning Claude Code without an academic context
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 4w
- Provenance
- Not a fork · Personal account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install academic-research-skills PyPISimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A guide to using AI in the stages of researching, writing, reviewing, revising, and finalizing academic work, focusing on Claude Code for prompt engineering.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 27, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 27, 2026)
- *Optional (real Python):* The core skills (research / write / review) need no Python — they are promptSource link
Tags
README
Quick install
Prerequisites
- Claude Code (latest; plugin packaging requires recent versions)
ANTHROPIC_API_KEYexported, or set on firstclauderun- Optional: Pandoc for DOCX, tectonic + Source Han Serif TC for APA 7.0 PDF (Markdown output works without either)
- Optional (real Python): The core skills (research / write / review) need no Python — they are prompt-driven. A real Python interpreter is needed only for: the
PreToolUsewrite-scope guard (optional subagent hardening — if no real Python is found it cleanly no-ops and the guard is simply inactive; core skills are unaffected), plus a few opt-in features that shell out to Python (revision-patch mode, the submission-package verifier, and the/ars-cache-invalidate//ars-mark-read//ars-unmark-readcommands). On Windows, note thatpython3is often a non-functional Microsoft Store placeholder rather than real Python; install Python from python.org (or viawinget) so the launcher can find a real interpreter. The guard launcher is a POSIX shell script andhooks.jsoninvokes it throughbash, so on Windows it needs Git Bash (bundled with Git for Windows). With Git Bash present, a missing real Python degrades cleanly (the guard no-ops, silently). Without Git Bash, Claude Code falls back to PowerShell, which cannot run the.shlauncher at all: the guard is inactive and thePreToolUsehook will log an error per call rather than no-op quietly (accepted degradation — the guard is optional and never blocks your writes, but the hook noise is the trade-off until Git Bash is installed).
Plugin install (v3.7.0+, recommended):
/plugin marketplace add Imbad0202/academic-research-skills
/plugin install academic-research-skills
Verify it works: run /ars-plan and describe a paper you're working on — ARS will start a Socratic dialogue to map out chapter structure. For a single-shot test instead, try /ars-lit-review "your topic".
👉 docs/SETUP.md — full guide: install Claude Code, set up API keys, optional Pandoc/tectonic for DOCX/PDF, cross-model verification (ARS_CROSS_MODEL), and six installation methods (Plugin, project skills, global skills, claude.ai Project, repo-cloned, Claude Science import).
Using Claude Science? The four skills import directly: Skills → Import from GitHub, paste https://github.com/Imbad0202/academic-research-skills, Preview, then Import 4 skills (requires v3.14.0+ of this repo — the importer reads the explicit skill paths in the marketplace manifest). Imports are point-in-time snapshots: re-import after ARS updates. Imported skills carry the ARS methodology (research / writing / review protocols); Claude Code-specific machinery — slash commands, hooks, subagent orchestration — does not transfer. See docs/SETUP.md Method 5 for details.
Using Codex CLI? Install the sibling distribution instead: Imbad0202/academic-research-skills-codex — same workflow content, Codex-native packaging as a single $academic-research-suite skill with ars-* aliases.
Third-party platforms and integrations that wrap or host ARS are listed in THIRD_PARTY.md — community-submitted and not reviewed or endorsed by the maintainer.
Performance & cost
👉 docs/PERFORMANCE.md — per-mode token budgets, full-pipeline estimate (~$4–6 for a 15k-word paper), and recommended Claude Code settings (Auto mode; Agent Team optional).
License
This work is licensed under CC-BY-NC 4.0.
You are free to:
- Share — copy and redistribute the material
- Adapt — remix, transform, and build upon the material
Under the following terms:
- Attribution — You must give appropriate credit
- NonCommercial — You may not use the material
For agents
This page has a .md twin and JSON over the API.