Academic Paper Writing Pipeline
Imbad0202/academic-research-skills
Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.
A skill your agent uses for academic reports, literature reviews, experiment reports, user-selected reference styles, innovation-point mining, or when the user wants a topic turned into a…
Install Academic Deep Research
$ npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Citrus-bit/Anaxa academic-deep-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/public/academic-deep-research .claude/skills/academic-deep-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "academic-deep-research" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/academic-deep-research into .claude/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-deep-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/academic-deep-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Citrus-bit/Anaxa academic-deep-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/public/academic-deep-research .agents/skills/academic-deep-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "academic-deep-research" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/academic-deep-research into .agents/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-deep-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Citrus-bit/Anaxa academic-deep-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/public/academic-deep-research .cursor/skills/academic-deep-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "academic-deep-research" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/academic-deep-research into .cursor/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-deep-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Citrus-bit/Anaxa.git --path skills/public/academic-deep-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Citrus-bit/Anaxa academic-deep-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/public/academic-deep-research .gemini/skills/academic-deep-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "academic-deep-research" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/academic-deep-research into .gemini/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-deep-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Citrus-bit/Anaxa academic-deep-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/public/academic-deep-research .github/skills/academic-deep-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "academic-deep-research" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/academic-deep-research into .github/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-deep-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Citrus-bit/Anaxa academic-deep-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/public/academic-deep-research .opencode/skills/academic-deep-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "academic-deep-research" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/academic-deep-research into .opencode/skills/academic-deep-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-deep-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
academic-deep-research- GitHub stars
- 120
- Token cost
- ~1.2k tokens
- SKILL.md length
- 596 words
- Files
- 1
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses for academic reports, literature reviews, experiment reports, user-selected reference styles, innovation-point mining, or when the user wants a topic turned into a…
- Works in 4 steps: Start Structured Research → Build Manuscript Bundle When Requested → Escalate to Subagent When Needed → …
- Academic reports
- SKILL.md covers Core Rules, Recommended Workflow and What Good Looks Like
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Academic Deep Research is an agent skill from Citrus-bit/Anaxa. Use this skill for academic reports, literature reviews, experiment reports, user-selected reference styles, innovation-point mining, or when the user wants a topic turned into a paper-backed evidence bundle instead of generic web research.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Deep research, Literature review and Dispute resolution. It works with LaTeX. The repository describes itself as: Anaxa 是一个面向科研工作流的开源智能体系统。它不是单纯的聊天机器人，也不是无人监管的自动发论文机器，而是把文献检索、证据审计、实验执行、论文写作、同行评审式检查和最终产物打包放进同一个可追踪的研究生命周期中。 The licence is MIT.
When your agent uses it
- Academic reports
- Literature reviews
- Experiment reports
- User-selected reference styles
Example prompts
- “/academic-deep-research”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit d57c708. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Academic Deep Research loads about 1.2k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 596 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Citrus-bit/Anaxa at commit d57c708, republished under its MIT licence (© Citrus-bit). 596 words, ~1,248 tokens.
Download SKILL.mdSave it as
.claude/skills/academic-deep-research/SKILL.md (or your agent's skills folder).- name
- academic-deep-research
- description
- Use this skill for academic reports, literature reviews, experiment reports, user-selected reference styles, innovation-point mining, or when the user wants a topic turned into a paper-backed evidence bundle instead of generic web research.
Academic Deep Research
Use this skill when the user asks for:
- academic reports or literature reviews
- experiment reports with professional references
- references in a specific user-requested style or richer scholarly citations
- innovation-point mining based on papers
- a research knowledge base, evidence map, or local literature store
Core Rules
- Prefer the
academic_researchtool over ad hoc web browsing when the task is literature-heavy. - When the user asks for latest datasets, benchmarks, leaderboards, baselines, or experiment-ready evidence, call
dataset_benchmark_discoverybefore drafting conclusions. - For large academic tasks, delegate to
taskwithsubagent_type="academic-researcher"so the main thread stays clean. - Do not invent references, DOI metadata, datasets, benchmark scores, or claims that are not grounded in generated evidence. In Synthetic Experiment Mode, simulated personal experiment outputs may support paper workflow completion, but third-party literature, baseline, leaderboard, benchmark, DOI, and dataset facts still cannot be fabricated.
- Treat the generated
report.md,references.md,references.bib,evidence_map.json, anddataset_benchmark_map.jsonas source material with different roles: literature support is not the same as executed experiment support. - When writing final prose in chat, use the artifact bundle first and only then polish wording.
- Follow the user's requested reference style. Use APA 7 only when no style is specified.
- For manuscript-style requests, default to LaTeX + PDF and prefer
manuscript_exportso writing, citation audit, PDF compilation, and artifact presentation happen in one enforced step. - Read or audit
references.bibbefore inserting inline LaTeX citations. Use exact BibTeX keys only; do not use\nocite{*}unless the user explicitly asks to list every reference without inline citation placement. - If citation or PDF generation fails, report the exact failed tool and error. Do not claim tools are unavailable when file tools,
manuscript_export,citation_audit, orpresent_filesare available.
Recommended Workflow
1. Start Structured Research
If the user gives a research topic, run:
academic_research(topic=..., scope=...)
If the task depends on datasets, benchmarks, or baselines, first run:
dataset_benchmark_discovery(topic=..., scope=...)
This will automatically:
- expand queries
- retrieve and normalize papers
- deduplicate and rank them
- produce a report bundle
The benchmark discovery bundle records candidate datasets, license/access status, metrics, baseline/SOTA hints, and risks. It does not download gated data or make leaderboard claims final.
Show full SKILL.md (236 more words)Show less
2. Build Manuscript Bundle When Requested
For a paper, manuscript, review article draft, or experiment paper:
- create or reuse
references.bib - use
dataset_benchmark_map.jsonto name candidate datasets/benchmarks only after checking access and version/date - use
experiment_laboutputs for executed results, ablations, robustness checks, and error analysis - keep experimental claims unsupported unless
claim_support_matrix.jsonmarks themsupported_by_experiment; in Synthetic Experiment Mode,supported_by_simulationis acceptable only when simulation assumptions/disclosure artifacts are present - write LaTeX with exact BibTeX keys from
references.bib - call
manuscript_export(tex_content=..., bibtex_content=..., filename_stem="manuscript") - if
manuscript_exportreports missing keys, unsupported claims, blocked\nocite{*}, or compile errors, fix the inputs and retry before final delivery - use
citation_auditandpresent_filesonly as fallback tools for narrower manual checks or existing files
3. Escalate to Subagent When Needed
If the task is large, multi-part, or the user wants a full report, use:
task(description=..., prompt=..., subagent_type="academic-researcher")
The subagent should use academic_research as its primary tool and then summarize the bundle.
4. Output Discipline
When summarizing the generated academic bundle:
- mention
project_id - mention how many core papers and formatted references were retained
- mention citation audit status for manuscript outputs
- mention any evidence gaps
- point the user to the artifacts instead of rewriting everything inline
What Good Looks Like
- the report is evidence-backed rather than generic
- the references list is materially richer than a normal web-search answer
- reference entries are normalized, deduplicated, and formatted in the requested style
- innovation directions are tied to literature gaps, not speculation
© Citrus-bit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/public/academic-deep-research of Citrus-bit/Anaxa.
Open the folder on GitHubat commit d57c708
Compare with similar skills
Academic Deep Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Academic Deep Research this skillCitrus-bit/Anaxa | 120 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Deep Researchsanjay3290/ai-skills | 432 | 9 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| Academic Research PipelineImbad0202/academic-research-skills | 51k | — | ~15k | Automated safety check: Pass | Custom licence | |
| Academic Research Suite for CodexImbad0202/academic-research-skills-codex | 12k | — | ~12k | Automated safety check: Pass | Custom licence |
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Questions about Academic Deep Research
What does Academic Deep Research do?
A skill your agent uses for academic reports, literature reviews, experiment reports, user-selected reference styles, innovation-point mining, or when the user wants a topic turned into a…. Academic Deep Research is an agent skill from Citrus-bit/Anaxa. Use this skill for academic reports, literature reviews, experiment reports, user-selected reference styles, innovation-point mining, or when the user wants a topic turned into a paper-backed evidence bundle instead of generic web research.
When should I use Academic Deep Research?
Academic Deep Research fits situations like: academic reports; literature reviews; experiment reports; user-selected reference styles.
How do I install Academic Deep Research in Claude Code?
Run `npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a claude-code`. Or copy the skill folder (skills/public/academic-deep-research in Citrus-bit/Anaxa) into .claude/skills/academic-deep-research in your project. Claude Code loads it when a task matches its description.
How do I install Academic Deep Research in Codex?
Run `npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a codex`. Or copy the skill folder (skills/public/academic-deep-research in Citrus-bit/Anaxa) into .agents/skills/academic-deep-research in your project. Codex loads it when a task matches its description.
Can I use Academic Deep Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Citrus-bit/Anaxa --skill academic-deep-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/academic-deep-research, .gemini/skills/academic-deep-research, .github/skills/academic-deep-research and .opencode/skills/academic-deep-research in your project.
What does Academic Deep Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Academic Deep Research is instructions for the agent only.
Does Academic Deep Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Academic Deep Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Academic Deep Research use?
Academic Deep Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Academic Deep Research use?
About 1.2k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Academic Deep Research?
Skills that share tags, products or a category with Academic Deep Research: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), Deep Research (sanjay3290/ai-skills, 432 stars) and Academic Research Pipeline (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Academic Deep Research?
Citrus-bit (a GitHub user) maintains it in Citrus-bit/Anaxa, which has 120 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 7, 2026.
Source: Citrus-bit/Anaxa on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.