Agent skill

Data Structure Visualization

by mingchen666 in mingchen666/Reviva

A skill your agent uses whenever the user wants visual learning for data structures, algorithms, trees, graphs, sorting, searching, hashing, recursion, complexity analysis, 408 data structure…

No licenceAuto-check passedKnowledge Management

Install Data Structure Visualization

skills CLI
$ npx skills add mingchen666/Reviva --skill data-structure-visualization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mingchen666/Reviva data-structure-visualization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mingchen666/Reviva.git skills-src && mkdir -p .claude/skills && cp -r skills-src/electron/builtin-assets/skills/data-structure-visualization .claude/skills/data-structure-visualization && rm -rf skills-src

Use ~/.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/

Facts

Skill name
data-structure-visualization
GitHub stars
236
Token cost
~1.1k tokens
SKILL.md length
506 words
Files
4 (incl. assets)
Skills in repo
54
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses whenever the user wants visual learning for data structures, algorithms, trees, graphs, sorting, searching, hashing, recursion, complexity analysis, 408 data structure…

  • The user wants visual learning for data structures
  • SKILL.md covers Use For, Output Modes, Bundled Template and Research-Informed Design…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Complexity analysis

What it does

Data Structure Visualization is an agent skill from mingchen666/Reviva. Use this skill whenever the user wants visual learning for data structures, algorithms, trees, graphs, sorting, searching, hashing, recursion, complexity analysis, 408 data structure review, algorithm hand simulation, or an interactive HTML explanation for a data-structure problem.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including assets (for example `config.json`).

It sits in Knowledge Management, covering HTML artifacts. The repository describes itself as: Local-first AI learning workspace — ask, note, review and create around your own materials. Wiki KB, Agents, Skills, creation tools.Private NotebookLM Alternative.AI….

When your agent uses it

  • The user wants visual learning for data structures
  • Complexity analysis
  • 408 data structure review
  • Algorithm hand simulation

Example prompts

  • “/data-structure-visualization”

Requirements

  • Pre-approved tools (allowed-tools): file_read, file_write

What it can do on your machine

Read from SKILL.md and the folder at commit 24bde40. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • file_read
    • file_write

    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

Data Structure Visualization loads about 1.1k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 506 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 506 words (~1,126 tokens).

“Create visual study artifacts for data structures and algorithms. The goal is to show the evolving state of the structure and the hand-simulation path a student would use in an exam.”

— opening of SKILL.md by mingchen666
name
data-structure-visualization
allowed-tools
file_read, file_write

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files (assets) in electron/builtin-assets/skills/data-structure-visualization of mingchen666/Reviva.

  • SKILL.md
  • assets/templates/algorithm-stepper.html
  • assets/templates/tree-graph-stepper.html
  • config.json

Open the folder on GitHubat commit 24bde40

Compare with similar skills

Data Structure Visualization 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.

Data Structure Visualization compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Data Structure Visualization this skillmingchen666/Reviva236—~1.1kAutomated safety check: PassNone
Codexqa Code Wikiopenqa-cn/codexqa152—~1.3kAutomated safety check: PassApache-2.0
Analyzing Backend BundleTriliumNext/Trilium38k—~2.6kAutomated safety check: PassAGPL-3.0
Remembercommercetools/ui-kit154—~2kAutomated safety check: NotesMIT
Gitnexus ExplorerTommy-yw/RunbookHermes5463 repos~1.8kAutomated safety check: PassMIT
Axhub Annotation Standalonelintendo/Axhub-Skills127—~831Automated safety check: PassMIT

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Questions about Data Structure Visualization

What does Data Structure Visualization do?

A skill your agent uses whenever the user wants visual learning for data structures, algorithms, trees, graphs, sorting, searching, hashing, recursion, complexity analysis, 408 data structure…. Data Structure Visualization is an agent skill from mingchen666/Reviva. Use this skill whenever the user wants visual learning for data structures, algorithms, trees, graphs, sorting, searching, hashing, recursion, complexity analysis, 408 data structure review, algorithm hand simulation, or an interactive HTML explanation for a data-structure problem.

When should I use Data Structure Visualization?

Data Structure Visualization fits situations like: the user wants visual learning for data structures; complexity analysis; 408 data structure review; algorithm hand simulation.

How do I install Data Structure Visualization in Claude Code?

Run `npx skills add mingchen666/Reviva --skill data-structure-visualization -a claude-code`. Or copy the skill folder (electron/builtin-assets/skills/data-structure-visualization in mingchen666/Reviva) into .claude/skills/data-structure-visualization in your project. Claude Code loads it when a task matches its description.

How do I install Data Structure Visualization in Codex?

Run `npx skills add mingchen666/Reviva --skill data-structure-visualization -a codex`. Or copy the skill folder (electron/builtin-assets/skills/data-structure-visualization in mingchen666/Reviva) into .agents/skills/data-structure-visualization in your project. Codex loads it when a task matches its description.

Can I use Data Structure Visualization 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 mingchen666/Reviva --skill data-structure-visualization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-structure-visualization, .gemini/skills/data-structure-visualization, .github/skills/data-structure-visualization and .opencode/skills/data-structure-visualization in your project.

What does Data Structure Visualization need to run?

SKILL.md names no scripts, command-line tools or credentials: Data Structure Visualization is instructions for the agent only. Its frontmatter pre-approves these tools: file_read, file_write.

Does Data Structure Visualization 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 Data Structure Visualization 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 Data Structure Visualization use?

No licence was found for Data Structure Visualization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Data Structure Visualization use?

About 1.1k tokens (SKILL.md is roughly 4.5k 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 Data Structure Visualization?

Skills that share tags, products or a category with Data Structure Visualization: Codexqa Code Wiki (openqa-cn/codexqa, 152 stars), Analyzing Backend Bundle (TriliumNext/Trilium, 38k stars), Remember (commercetools/ui-kit, 154 stars) and Gitnexus Explorer (Tommy-yw/RunbookHermes, 546 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Data Structure Visualization?

mingchen666 (a GitHub user) maintains it in mingchen666/Reviva, which has 236 GitHub stars. The repository holds 54 skills in this directory. The repository was last updated on September 21, 2026.

Source: mingchen666/Reviva on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.