Skill Expert Skills
LeoYeAI/openclaw-master-skills
Creates, optimizes, validates, and packages AI Agent Skills (SKILL.md format).
Agent skill
Academic Pipeline
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
Orchestrator for the full academic research pipeline: research - write - integrity check - review - revise - re-review - re-revise - final integrity check - finalize.
Install Academic Pipeline
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills academic-pipeline --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/academic-pipeline .claude/skills/academic-pipeline && 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-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/academic-pipeline into .claude/skills/academic-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-pipeline", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/academic-pipelineType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills academic-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/academic-pipeline .agents/skills/academic-pipeline && 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-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/academic-pipeline into .agents/skills/academic-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-pipeline", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills academic-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/academic-pipeline .cursor/skills/academic-pipeline && 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-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/academic-pipeline into .cursor/skills/academic-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-pipeline", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/24-Imbad0202-academic-research-skills/academic-pipeline--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills academic-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/academic-pipeline .gemini/skills/academic-pipeline && 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-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/academic-pipeline into .gemini/skills/academic-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-pipeline", 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 brycewang-stanford/Auto-Empirical-Research-Skills academic-pipelineInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/academic-pipeline .github/skills/academic-pipeline && 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-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/academic-pipeline into .github/skills/academic-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-pipeline", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills academic-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/24-Imbad0202-academic-research-skills/academic-pipeline .opencode/skills/academic-pipeline && 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-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/24-Imbad0202-academic-research-skills/academic-pipeline into .opencode/skills/academic-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "academic-pipeline", 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-pipeline- GitHub stars
- 4.6k
- Token cost
- ~11k tokens
- SKILL.md length
- 3,236 words
- Files
- 13 (incl. references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Orchestrator for the full academic research pipeline: research - write - integrity check - review - revise - re-review - re-revise - final integrity check - finalize.
- Works in 12 steps: INTAKE & DETECTION → MODE RECOMMENDATION → STAGE EXECUTION → …
- : academic pipeline
- SKILL.md covers Quick Start, Trigger Conditions, Pipeline Stages (10 Stages) and Pipeline State Machine, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Academic Pipeline is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Orchestrator for the full academic research pipeline: research - write - integrity check - review - revise - re-review - re-revise - final integrity check - finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 9-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.
Its SKILL.md is about 11k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including reference files (for example `agents/integrity_verification_agent.md`, `agents/pipeline_orchestrator_agent.md` and `agents/state_tracker_agent.md`).
It sits in Research & Science, covering Deep research and Quality gates. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- : academic pipeline
- Research to paper
- Full paper workflow
- End-to-end paper
Example prompts
- “/academic-pipeline”
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- INTAKE & DETECTION
- MODE RECOMMENDATION
- STAGE EXECUTION
- TRANSITION
- 5: First Integrity Check (Pre-Review Integrity)
- 5: Final Integrity Check (Post-Revision Final Check)
- First Review (Full Review)
- > 4 Transition: Revision Coaching
- ': Second Review (Verification Review)
- ' -> 4' Transition: Residual Coaching
- Intake and Structuring
- Strategic Revision Coaching (External Revision Coaching)
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. 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 Pipeline loads about 11k tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 137 tokens; SKILL.md has 3,236 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 3,236 words (~10,602 tokens).
“A lightweight orchestrator that manages the complete academic pipeline from research exploration to final manuscript. It does not perform substantive work — it only detects stages, recommends modes, dispatches skills, manages transitions, and tracks state.”
- name
- academic-pipeline
- metadata.version
- 2.7
- metadata.last_updated
- 2026-03-27
- metadata.depends_on
- deep-research, academic-paper, academic-paper-reviewer
Files
SKILL.md and 12 other files (references) in skills/24-Imbad0202-academic-research-skills/academic-pipeline of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- agents/integrity_verification_agent.md
- agents/pipeline_orchestrator_agent.md
- agents/state_tracker_agent.md
- examples/full_pipeline_example.md
- examples/integrity_failure_recovery.md
- examples/mid_entry_example.md
- references/claim_verification_protocol.md
- references/mode_advisor.md
- references/pipeline_state_machine.md
- references/plagiarism_detection_protocol.md
- references/team_collaboration_protocol.md
- templates/pipeline_status_template.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Academic Pipeline 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 Pipeline this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~11k | Automated safety check: Pass | Custom licence | |
| Skill Expert SkillsLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Notes | Apache-2.0 | |
| Auto Review Loopappleweiping/WEIPING_WIKI | 119 | — | ~843 | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| 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 |
Similar skills
Auto Review Loop
appleweiping/WEIPING_WIKI
Multi-agent paper review loop simulating top-venue peer review.
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
More from brycewang-stanford/Auto-Empirical-Research-Skills
All 383 skills in this repoAer Consistency
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
Latex Paper En
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
Bayesian Workflow
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Daily Paper Generator
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
Five Questions
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
Kaggle Research
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Related
Categories
Questions about Academic Pipeline
What does Academic Pipeline do?
Orchestrator for the full academic research pipeline: research - write - integrity check - review - revise - re-review - re-revise - final integrity check - finalize. Academic Pipeline is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Orchestrator for the full academic research pipeline: research - write - integrity check - review - revise - re-review - re-revise - final integrity check - finalize.
When should I use Academic Pipeline?
Academic Pipeline fits situations like: : academic pipeline; research to paper; full paper workflow; end-to-end paper.
How do I install Academic Pipeline in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a claude-code`. Or copy the skill folder (skills/24-Imbad0202-academic-research-skills/academic-pipeline in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/academic-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Academic Pipeline in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -a codex`. Or copy the skill folder (skills/24-Imbad0202-academic-research-skills/academic-pipeline in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/academic-pipeline in your project. Codex loads it when a task matches its description.
Can I use Academic Pipeline 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill academic-pipeline -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-pipeline, .gemini/skills/academic-pipeline, .github/skills/academic-pipeline and .opencode/skills/academic-pipeline in your project.
What does Academic Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Academic Pipeline is instructions for the agent only.
Does Academic Pipeline 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 Pipeline 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 Pipeline use?
Academic Pipeline has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Academic Pipeline use?
About 11k tokens (SKILL.md is roughly 42k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
What are the alternatives to Academic Pipeline?
Skills that share tags, products or a category with Academic Pipeline: Skill Expert Skills (LeoYeAI/openclaw-master-skills, 2.2k stars), Auto Review Loop (appleweiping/WEIPING_WIKI, 119 stars), GitHub Deep Research (bytedance/deer-flow, 84k stars) and Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Academic Pipeline?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.