Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Manage learning rate scheduler operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Learning Rate Scheduler
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill learning-rate-scheduler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace learning-rate-scheduler --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/learning-rate-scheduler .claude/skills/learning-rate-scheduler && 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 "learning-rate-scheduler" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/learning-rate-scheduler into .claude/skills/learning-rate-scheduler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-rate-scheduler", 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/learning-rate-schedulerType 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 learning-rate-scheduler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace learning-rate-scheduler --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/learning-rate-scheduler .agents/skills/learning-rate-scheduler && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learning-rate-scheduler" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/learning-rate-scheduler into .agents/skills/learning-rate-scheduler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-rate-scheduler", 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 learning-rate-scheduler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace learning-rate-scheduler --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/learning-rate-scheduler .cursor/skills/learning-rate-scheduler && 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 "learning-rate-scheduler" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/learning-rate-scheduler into .cursor/skills/learning-rate-scheduler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-rate-scheduler", 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/learning-rate-scheduler--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 learning-rate-scheduler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace learning-rate-scheduler --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/learning-rate-scheduler .gemini/skills/learning-rate-scheduler && 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 "learning-rate-scheduler" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/learning-rate-scheduler into .gemini/skills/learning-rate-scheduler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-rate-scheduler", 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 learning-rate-schedulerInstalls 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 learning-rate-scheduler -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/learning-rate-scheduler .github/skills/learning-rate-scheduler && 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 "learning-rate-scheduler" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/learning-rate-scheduler into .github/skills/learning-rate-scheduler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-rate-scheduler", 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 learning-rate-scheduler -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 learning-rate-scheduler --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/learning-rate-scheduler .opencode/skills/learning-rate-scheduler && 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 "learning-rate-scheduler" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/learning-rate-scheduler into .opencode/skills/learning-rate-scheduler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learning-rate-scheduler", 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
learning-rate-scheduler- GitHub stars
- 2.8k
- Token cost
- ~577 tokens
- SKILL.md length
- 197 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Manage learning rate scheduler 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… → …
- : learning rate scheduler
- 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
Learning Rate Scheduler is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage learning rate scheduler operations. Auto-activating skill for ML Training. Triggers on: learning rate scheduler, learning rate scheduler Part of the ML Training skill category. Use when working with learning rate scheduler functionality. Trigger with phrases like "learning rate scheduler", "learning scheduler", "learning".
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
- : learning rate scheduler
- Learning rate scheduler Part of the ML Training skill category
- Working with learning rate scheduler functionality
- With phrases like learning rate scheduler
Example prompts
- “learning rate scheduler”
- “learning scheduler”
- “learning”
- “/learning-rate-scheduler”
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 learning rate scheduler
- 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
Learning Rate Scheduler loads about 577 tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 197 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). 197 words, ~577 tokens.
Download SKILL.mdSave it as
.claude/skills/learning-rate-scheduler/SKILL.md (or your agent's skills folder).- name
- learning-rate-scheduler
- description
- Manage learning rate scheduler operations. Auto-activating skill for ML Training. Triggers on: learning rate scheduler, learning rate scheduler Part of the ML Training skill category. Use when working with learning rate scheduler functionality. Trigger with phrases like "learning rate scheduler", "learning scheduler", "learning".
- 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
Learning Rate Scheduler
Overview
This skill provides automated assistance for learning rate scheduler tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "learning rate scheduler" in your request
- Ask about learning rate scheduler 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 learning rate scheduler
- 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 learning rate scheduler" 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/learning-rate-scheduler of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
Learning Rate Scheduler 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 |
|---|---|---|---|---|---|---|
| Learning Rate Scheduler this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~577 | 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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Categories
Questions about Learning Rate Scheduler
What does Learning Rate Scheduler do?
Manage learning rate scheduler operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Learning Rate Scheduler is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage learning rate scheduler operations.
When should I use Learning Rate Scheduler?
Learning Rate Scheduler fits situations like: : learning rate scheduler; learning rate scheduler Part of the ML Training skill category; working with learning rate scheduler functionality; with phrases like learning rate scheduler.
How do I install Learning Rate Scheduler in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill learning-rate-scheduler -a claude-code`. Or copy the skill folder (skills/07-ml-training/learning-rate-scheduler in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/learning-rate-scheduler in your project. Claude Code loads it when a task matches its description.
How do I install Learning Rate Scheduler in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill learning-rate-scheduler -a codex`. Or copy the skill folder (skills/07-ml-training/learning-rate-scheduler in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/learning-rate-scheduler in your project. Codex loads it when a task matches its description.
Can I use Learning Rate Scheduler 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 learning-rate-scheduler -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learning-rate-scheduler, .gemini/skills/learning-rate-scheduler, .github/skills/learning-rate-scheduler and .opencode/skills/learning-rate-scheduler in your project.
What does Learning Rate Scheduler need to run?
SKILL.md names no scripts, command-line tools or credentials: Learning Rate Scheduler 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 Learning Rate Scheduler 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 Learning Rate Scheduler 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 Learning Rate Scheduler use?
Learning Rate Scheduler 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 Learning Rate Scheduler use?
About 577 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 Learning Rate Scheduler?
Skills that share tags, products or a category with Learning Rate Scheduler: 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 Learning Rate Scheduler?
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.