Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Generate tensorboard visualizer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Tensorboard Visualizer
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorboard-visualizer --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/07-ml-training/tensorboard-visualizer .claude/skills/tensorboard-visualizer && 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 "tensorboard-visualizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorboard-visualizer into .claude/skills/tensorboard-visualizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorboard-visualizer", 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/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorboard-visualizerType 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 jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorboard-visualizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/07-ml-training/tensorboard-visualizer .agents/skills/tensorboard-visualizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tensorboard-visualizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorboard-visualizer into .agents/skills/tensorboard-visualizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorboard-visualizer", 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 jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorboard-visualizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/07-ml-training/tensorboard-visualizer .cursor/skills/tensorboard-visualizer && 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 "tensorboard-visualizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorboard-visualizer into .cursor/skills/tensorboard-visualizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorboard-visualizer", 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/jeremylongshore/tons-of-skills-marketplace.git --path skills/07-ml-training/tensorboard-visualizer--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 jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorboard-visualizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/07-ml-training/tensorboard-visualizer .gemini/skills/tensorboard-visualizer && 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 "tensorboard-visualizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorboard-visualizer into .gemini/skills/tensorboard-visualizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorboard-visualizer", 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 jeremylongshore/tons-of-skills-marketplace tensorboard-visualizerInstalls 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 jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/07-ml-training/tensorboard-visualizer .github/skills/tensorboard-visualizer && 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 "tensorboard-visualizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorboard-visualizer into .github/skills/tensorboard-visualizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorboard-visualizer", 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 jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace tensorboard-visualizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/07-ml-training/tensorboard-visualizer .opencode/skills/tensorboard-visualizer && 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 "tensorboard-visualizer" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/tensorboard-visualizer into .opencode/skills/tensorboard-visualizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tensorboard-visualizer", 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
tensorboard-visualizer- GitHub stars
- 2.8k
- Token cost
- ~576 tokens
- SKILL.md length
- 191 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate tensorboard visualizer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 4 steps: Provides step-by-step guidance for… → Follows industry best practices and… → Generates production-ready code and… → …
- : tensorboard visualizer
- SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tensorboard Visualizer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generate tensorboard visualizer operations. Auto-activating skill for ML Training. Triggers on: tensorboard visualizer, tensorboard visualizer Part of the ML Training skill category. Use when working with tensorboard visualizer functionality. Trigger with phrases like "tensorboard visualizer", "tensorboard visualizer", "tensorboard".
Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code
It sits in Data & Analytics. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- : tensorboard visualizer
- Tensorboard visualizer Part of the ML Training skill category
- Working with tensorboard visualizer functionality
- With phrases like tensorboard visualizer
Example prompts
- “tensorboard visualizer”
- “tensorboard”
- “/tensorboard-visualizer”
Requirements
- Compatibility (from SKILL.md): Designed for Claude Code
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(python:*), Bash(pip:*)
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Provides step-by-step guidance for tensorboard visualizer
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. 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:
ReadWriteEditBash(python:*)Bash(pip:*)
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.
Compatibility
Designed for Claude Code
From compatibility in the SKILL.md frontmatter.
Context cost
Tensorboard Visualizer loads about 576 tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 191 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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 191 words, ~576 tokens.
Download SKILL.mdSave it as
.claude/skills/tensorboard-visualizer/SKILL.md (or your agent's skills folder).- name
- tensorboard-visualizer
- description
- Generate tensorboard visualizer operations. Auto-activating skill for ML Training. Triggers on: tensorboard visualizer, tensorboard visualizer Part of the ML Training skill category. Use when working with tensorboard visualizer functionality. Trigger with phrases like "tensorboard visualizer", "tensorboard visualizer", "tensorboard".
- allowed-tools
- Read, Write, Edit, Bash(python:*), Bash(pip:*)
- compatibility
- Designed for Claude Code
- version
- 1.0.0
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- ai, machine-learning
Tensorboard Visualizer
Overview
This skill provides automated assistance for tensorboard visualizer tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "tensorboard visualizer" in your request
- Ask about tensorboard visualizer patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Instructions
- Provides step-by-step guidance for tensorboard visualizer
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with tensorboard visualizer" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml training concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn
© jeremylongshore, 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/07-ml-training/tensorboard-visualizer of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
Tensorboard Visualizer 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 |
|---|---|---|---|---|---|---|
| Tensorboard Visualizer this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~576 | Automated safety check: Pass | MIT | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
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Questions about Tensorboard Visualizer
What does Tensorboard Visualizer do?
Generate tensorboard visualizer operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Tensorboard Visualizer is an agent skill from jeremylongshore/tons-of-skills-marketplace. Generate tensorboard visualizer operations.
When should I use Tensorboard Visualizer?
Tensorboard Visualizer fits situations like: : tensorboard visualizer; tensorboard visualizer Part of the ML Training skill category; working with tensorboard visualizer functionality; with phrases like tensorboard visualizer.
How do I install Tensorboard Visualizer in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a claude-code`. Or copy the skill folder (skills/07-ml-training/tensorboard-visualizer in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/tensorboard-visualizer in your project. Claude Code loads it when a task matches its description.
How do I install Tensorboard Visualizer in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a codex`. Or copy the skill folder (skills/07-ml-training/tensorboard-visualizer in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/tensorboard-visualizer in your project. Codex loads it when a task matches its description.
Can I use Tensorboard Visualizer 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 jeremylongshore/tons-of-skills-marketplace --skill tensorboard-visualizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tensorboard-visualizer, .gemini/skills/tensorboard-visualizer, .github/skills/tensorboard-visualizer and .opencode/skills/tensorboard-visualizer in your project.
What does Tensorboard Visualizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Tensorboard Visualizer is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(python:*), Bash(pip:*). Compatibility (from SKILL.md): Designed for Claude Code.
Does Tensorboard Visualizer 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 Tensorboard Visualizer 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 Tensorboard Visualizer use?
Tensorboard Visualizer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tensorboard Visualizer use?
About 576 tokens (SKILL.md is roughly 2.3k 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 Tensorboard Visualizer?
Skills that share tags, products or a category with Tensorboard Visualizer: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tensorboard Visualizer?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.