MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Manage model checkpoint manager operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Install Model Checkpoint Manager
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-checkpoint-manager -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace model-checkpoint-manager --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/model-checkpoint-manager .claude/skills/model-checkpoint-manager && 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 "model-checkpoint-manager" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/model-checkpoint-manager into .claude/skills/model-checkpoint-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-checkpoint-manager", 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/model-checkpoint-managerType 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 model-checkpoint-manager -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace model-checkpoint-manager --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/model-checkpoint-manager .agents/skills/model-checkpoint-manager && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "model-checkpoint-manager" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/model-checkpoint-manager into .agents/skills/model-checkpoint-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-checkpoint-manager", 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 model-checkpoint-manager -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace model-checkpoint-manager --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/model-checkpoint-manager .cursor/skills/model-checkpoint-manager && 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 "model-checkpoint-manager" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/model-checkpoint-manager into .cursor/skills/model-checkpoint-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-checkpoint-manager", 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/model-checkpoint-manager--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 model-checkpoint-manager -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace model-checkpoint-manager --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/model-checkpoint-manager .gemini/skills/model-checkpoint-manager && 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 "model-checkpoint-manager" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/model-checkpoint-manager into .gemini/skills/model-checkpoint-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-checkpoint-manager", 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 model-checkpoint-managerInstalls 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 model-checkpoint-manager -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/model-checkpoint-manager .github/skills/model-checkpoint-manager && 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 "model-checkpoint-manager" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/model-checkpoint-manager into .github/skills/model-checkpoint-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-checkpoint-manager", 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 model-checkpoint-manager -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 model-checkpoint-manager --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/model-checkpoint-manager .opencode/skills/model-checkpoint-manager && 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 "model-checkpoint-manager" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/07-ml-training/model-checkpoint-manager into .opencode/skills/model-checkpoint-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-checkpoint-manager", 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
model-checkpoint-manager- GitHub stars
- 2.8k
- Token cost
- ~578 tokens
- SKILL.md length
- 197 words
- Files
- 1
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Manage model checkpoint manager operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.
- Works in 4 steps: Provides step-by-step guidance for model… → Follows industry best practices and… → Generates production-ready code and… → …
- : model checkpoint manager
- 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
Model Checkpoint Manager is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage model checkpoint manager operations. Auto-activating skill for ML Training. Triggers on: model checkpoint manager, model checkpoint manager Part of the ML Training skill category. Use when working with model checkpoint manager functionality. Trigger with phrases like "model checkpoint manager", "model manager", "model".
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 Agent Workflows. 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
- : model checkpoint manager
- Model checkpoint manager Part of the ML Training skill category
- Working with model checkpoint manager functionality
- With phrases like model checkpoint manager
Example prompts
- “model checkpoint manager”
- “model manager”
- “/model-checkpoint-manager”
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 model checkpoint manager
- 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
Model Checkpoint Manager loads about 578 tokens when it runs. Until then it costs about 88 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, ~578 tokens.
Download SKILL.mdSave it as
.claude/skills/model-checkpoint-manager/SKILL.md (or your agent's skills folder).- name
- model-checkpoint-manager
- description
- Manage model checkpoint manager operations. Auto-activating skill for ML Training. Triggers on: model checkpoint manager, model checkpoint manager Part of the ML Training skill category. Use when working with model checkpoint manager functionality. Trigger with phrases like "model checkpoint manager", "model manager", "model".
- 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
Model Checkpoint Manager
Overview
This skill provides automated assistance for model checkpoint manager tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "model checkpoint manager" in your request
- Ask about model checkpoint manager 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 model checkpoint manager
- 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 model checkpoint manager" 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/model-checkpoint-manager of jeremylongshore/tons-of-skills-marketplace.
Open the folder on GitHubat commit cfae287
Compare with similar skills
Model Checkpoint Manager 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 |
|---|---|---|---|---|---|---|
| Model Checkpoint Manager this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~578 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 36 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Model Checkpoint Manager
What does Model Checkpoint Manager do?
Manage model checkpoint manager operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Model Checkpoint Manager is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage model checkpoint manager operations.
When should I use Model Checkpoint Manager?
Model Checkpoint Manager fits situations like: : model checkpoint manager; model checkpoint manager Part of the ML Training skill category; working with model checkpoint manager functionality; with phrases like model checkpoint manager.
How do I install Model Checkpoint Manager in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-checkpoint-manager -a claude-code`. Or copy the skill folder (skills/07-ml-training/model-checkpoint-manager in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/model-checkpoint-manager in your project. Claude Code loads it when a task matches its description.
How do I install Model Checkpoint Manager in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill model-checkpoint-manager -a codex`. Or copy the skill folder (skills/07-ml-training/model-checkpoint-manager in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/model-checkpoint-manager in your project. Codex loads it when a task matches its description.
Can I use Model Checkpoint Manager 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 model-checkpoint-manager -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-checkpoint-manager, .gemini/skills/model-checkpoint-manager, .github/skills/model-checkpoint-manager and .opencode/skills/model-checkpoint-manager in your project.
What does Model Checkpoint Manager need to run?
SKILL.md names no scripts, command-line tools or credentials: Model Checkpoint Manager 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 Model Checkpoint Manager 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 Model Checkpoint Manager 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 Model Checkpoint Manager use?
Model Checkpoint Manager 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 Model Checkpoint Manager use?
About 578 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 Model Checkpoint Manager?
Skills that share tags, products or a category with Model Checkpoint Manager: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Model Checkpoint Manager?
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.