Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from citations/ref.bib.
Install Survey Visuals
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill survey-visuals -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills survey-visuals --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/survey-visuals .claude/skills/survey-visuals && 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 "survey-visuals" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/survey-visuals into .claude/skills/survey-visuals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-visuals", 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/survey-visualsType 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 survey-visuals -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills survey-visuals --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/survey-visuals .agents/skills/survey-visuals && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "survey-visuals" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/survey-visuals into .agents/skills/survey-visuals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-visuals", 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 survey-visuals -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills survey-visuals --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/survey-visuals .cursor/skills/survey-visuals && 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 "survey-visuals" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/survey-visuals into .cursor/skills/survey-visuals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-visuals", 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/survey-visuals--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 survey-visuals -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills survey-visuals --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/survey-visuals .gemini/skills/survey-visuals && 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 "survey-visuals" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/survey-visuals into .gemini/skills/survey-visuals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-visuals", 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 survey-visualsInstalls 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 survey-visuals -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/survey-visuals .github/skills/survey-visuals && 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 "survey-visuals" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/survey-visuals into .github/skills/survey-visuals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-visuals", 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 survey-visuals -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 survey-visuals --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/survey-visuals .opencode/skills/survey-visuals && 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 "survey-visuals" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/survey-visuals into .opencode/skills/survey-visuals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "survey-visuals", 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
survey-visuals- GitHub stars
- 513
- Token cost
- ~1.1k tokens
- SKILL.md length
- 441 words
- Files
- 6 (incl. scripts, references, assets)
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from citations/ref.bib.
- Works in 4 steps: Read the outline + claim-evidence matrix… → Timeline (outline/timeline.md) → Figures (outline/figures.md) → …
- Tasks that involve Citation management
- SKILL.md covers Triggers & routing, Load Order, Script Boundary and Inputs, plus 6 more sections
- Runs Python scripts from its folder; calls uv
What it does
Survey Visuals is an agent skill from WILLOSCAR/research-units-pipeline-skills. Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from citations/ref.bib.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts, reference files and assets (for example `assets/figure_templates.yaml`, `references/figure_archetypes.md` and `references/overview.md`).
It sits in Research & Science, covering Citation management. 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
- “/survey-visuals”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Read the outline + claim-evidence matrix and pick recurring comparison axes.
- Timeline (outline/timeline.md)
- Figures (outline/figures.md)
- Use only citation keys present in citations/ref.bib.
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
Survey Visuals loads about 1.1k tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 441 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 441 words (~1,108 tokens).
“This skill creates non-prose artifacts that make the writing stage less template-y:”
- name
- survey-visuals
- binding
- library
Files
SKILL.md and 5 other files (scripts, references, assets) in .codex/skills/survey-visuals of WILLOSCAR/research-units-pipeline-skills.
- SKILL.md
- assets/figure_templates.yaml
- references/figure_archetypes.md
- references/overview.md
- references/timeline_patterns.md
- scripts/run.py
Open the folder on GitHubat commit c92912a
Compare with similar skills
Survey Visuals 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 |
|---|---|---|---|---|---|---|
| Survey Visuals this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~1.1k | Automated safety check: Pass | None | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| NetworkxzLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~3.2k | Automated safety check: Pass | BSD-3-Clause | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Openalex Databaseneflibata-feng/MyArxiv-Agent | 126 | 12 repos | ~3k | Automated safety check: Pass | Custom licence |
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Networkx
zLanqing/codex-claude-academic-skills
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.
Literature Review
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Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Openalex Database
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Query and analyze scholarly literature using the OpenAlex database.
Citation Verification Guide
Galaxy-Dawn/claude-scholar
Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.
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Related
Categories
Questions about Survey Visuals
What does Survey Visuals do?
Draft non-prose visuals artifacts (timeline, figure specs) for a survey, grounded in evidence and using citation keys from citations/ref.bib. Survey Visuals is an agent skill from WILLOSCAR/research-units-pipeline-skills.bib.
When should I use Survey Visuals?
Survey Visuals fits situations like: tasks that involve Citation management.
How do I install Survey Visuals in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill survey-visuals -a claude-code`. Or copy the skill folder (.codex/skills/survey-visuals in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/survey-visuals in your project. Claude Code loads it when a task matches its description.
How do I install Survey Visuals in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill survey-visuals -a codex`. Or copy the skill folder (.codex/skills/survey-visuals in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/survey-visuals in your project. Codex loads it when a task matches its description.
Can I use Survey Visuals 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 survey-visuals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/survey-visuals, .gemini/skills/survey-visuals, .github/skills/survey-visuals and .opencode/skills/survey-visuals in your project.
What does Survey Visuals need to run?
Going by SKILL.md and its folder, Survey Visuals needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Survey Visuals 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 Survey Visuals 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 Survey Visuals use?
No licence was found for Survey Visuals or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Survey Visuals use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 1k tokens, read only when the agent opens those files.
What are the alternatives to Survey Visuals?
Skills that share tags, products or a category with Survey Visuals: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Survey Visuals?
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.