Citation Management
neflibata-feng/MyArxiv-Agent
Comprehensive citation management for academic research. An agent skill from neflibata-feng/MyArxiv-Agent.
Normalize cross-skill JSONL interfaces (ids + titles + citation key formats) so downstream skills do not rely on best-effort joins.
Install Schema Normalizer
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills schema-normalizer --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/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/schema-normalizer .claude/skills/schema-normalizer && 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 "schema-normalizer" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/schema-normalizer into .claude/skills/schema-normalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-normalizer", 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/schema-normalizerType 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 WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills schema-normalizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/schema-normalizer .agents/skills/schema-normalizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "schema-normalizer" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/schema-normalizer into .agents/skills/schema-normalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-normalizer", 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 WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills schema-normalizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/schema-normalizer .cursor/skills/schema-normalizer && 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 "schema-normalizer" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/schema-normalizer into .cursor/skills/schema-normalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-normalizer", 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/WILLOSCAR/research-units-pipeline-skills.git --path .codex/skills/schema-normalizer--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 WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills schema-normalizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/schema-normalizer .gemini/skills/schema-normalizer && 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 "schema-normalizer" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/schema-normalizer into .gemini/skills/schema-normalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-normalizer", 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 WILLOSCAR/research-units-pipeline-skills schema-normalizerInstalls 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 WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/schema-normalizer .github/skills/schema-normalizer && 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 "schema-normalizer" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/schema-normalizer into .github/skills/schema-normalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-normalizer", 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 WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills schema-normalizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/schema-normalizer .opencode/skills/schema-normalizer && 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 "schema-normalizer" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/schema-normalizer into .opencode/skills/schema-normalizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "schema-normalizer", 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
schema-normalizer- GitHub stars
- 513
- Token cost
- ~963 tokens
- SKILL.md length
- 351 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
Normalize cross-skill JSONL interfaces (ids + titles + citation key formats) so downstream skills do not rely on best-effort joins.
- Works in 2 steps: IDs + titles (join keys) → Citation key format (reduce parsing drift)
- Tasks that involve Citation management
- SKILL.md covers Triggers & routing, Inputs, Outputs and What gets normalized, plus 3 more sections
- Runs Python scripts from its folder; calls uv
What it does
Schema Normalizer is an agent skill from WILLOSCAR/research-units-pipeline-skills. Normalize cross-skill JSONL interfaces (ids + titles + citation key formats) so downstream skills do not rely on best-effort joins.
Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run.py`).
It sits in Research & Science, covering Citation management. It works with LaTeX. The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…
When your agent uses it
- Tasks that involve Citation management
Example prompts
- “/schema-normalizer”
Requirements
- Python 3
Workflow steps
2 steps, taken from the step headings in SKILL.md.
- IDs + titles (join keys)
- Citation key format (reduce parsing drift)
What it can do on your machine
Read from SKILL.md and the folder at commit c92912a. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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
Schema Normalizer loads about 963 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 351 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 351 words (~963 tokens).
“Purpose: close a common failure mode in skills-first pipelines: schema drift across JSONL artifacts.”
- name
- schema-normalizer
Files
SKILL.md and 1 other file (scripts) in .codex/skills/schema-normalizer of WILLOSCAR/research-units-pipeline-skills.
- SKILL.md
- scripts/run.py
Open the folder on GitHubat commit c92912a
Compare with similar skills
Schema Normalizer 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 |
|---|---|---|---|---|---|---|
| Schema Normalizer this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~963 | Automated safety check: Pass | None | |
| Citation Managementneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~8.1k | Automated safety check: Notes | MIT | |
| Academic Paper Writing PipelineImbad0202/academic-research-skills | 51k | — | ~16k | Automated safety check: Pass | Custom licence | |
| Literature Review AgentAr9av/PaperOrchestra | 677 | 2 repos | ~5.2k | Automated safety check: Pass | Custom licence | |
| Academic Searchustc-ai4science/academic-search | 666 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Collaborating With Claudeappautomaton/latex-arxiv-SKILL | 457 | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
Similar skills
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.
Literature Review Agent
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Academic Search
ustc-ai4science/academic-search
A skill your agent uses when the user asks to search or review academic papers, retrieve scholarly metadata or citation counts, validate or deduplicate scholarly records, find an author's…
Collaborating With Claude
appautomaton/latex-arxiv-SKILL
Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review.
Arxiv MCP Server
blazickjp/arxiv-mcp-server
A skill your agent uses when finding, comparing, reading, or monitoring arXiv papers, including requests for abstracts, citation graphs, original LaTeX, section-level technical details, or…
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Write H2 chapter lead blocks (sections/S<secidlead.md) that preview the chapter's comparison lens and connect its H3 subsections, without adding new facts.
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Related
Works with
Categories
Questions about Schema Normalizer
What does Schema Normalizer do?
Normalize cross-skill JSONL interfaces (ids + titles + citation key formats) so downstream skills do not rely on best-effort joins. Schema Normalizer is an agent skill from WILLOSCAR/research-units-pipeline-skills. Normalize cross-skill JSONL interfaces (ids + titles + citation key formats) so downstream skills do not rely on best-effort joins.
When should I use Schema Normalizer?
Schema Normalizer fits situations like: tasks that involve Citation management.
How do I install Schema Normalizer in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a claude-code`. Or copy the skill folder (.codex/skills/schema-normalizer in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/schema-normalizer in your project. Claude Code loads it when a task matches its description.
How do I install Schema Normalizer in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a codex`. Or copy the skill folder (.codex/skills/schema-normalizer in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/schema-normalizer in your project. Codex loads it when a task matches its description.
Can I use Schema Normalizer 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 WILLOSCAR/research-units-pipeline-skills --skill schema-normalizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/schema-normalizer, .gemini/skills/schema-normalizer, .github/skills/schema-normalizer and .opencode/skills/schema-normalizer in your project.
What does Schema Normalizer need to run?
Going by SKILL.md and its folder, Schema Normalizer needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Schema Normalizer access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Schema Normalizer 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Schema Normalizer use?
No licence was found for Schema Normalizer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Schema Normalizer use?
About 963 tokens (SKILL.md is roughly 3.9k 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 Schema Normalizer?
Skills that share tags, products or a category with Schema Normalizer: Citation Management (neflibata-feng/MyArxiv-Agent, 126 stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Literature Review Agent (Ar9av/PaperOrchestra, 677 stars) and Academic Search (ustc-ai4science/academic-search, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Schema Normalizer?
WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.
Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.