Frontmcp Deployment
agentfront/frontmcp
A skill your agent uses when deploying, building for production, packaging, or shipping a FrontMCP server.
Extend, test, debug, or integrate the Model Download microservice codebase.
$ npx skills add open-edge-platform/edge-ai-libraries --skill model-download-dev -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries model-download-dev --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/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .claude/skills && cp -r skills-src/microservices/model-download/.github/skills/model-download-dev .claude/skills/model-download-dev && 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-download-dev" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/model-download/.github/skills/model-download-dev into .claude/skills/model-download-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-download-dev", 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/open-edge-platform/edge-ai-libraries/tree/main/microservices/model-download/.github/skills/model-download-devType 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 open-edge-platform/edge-ai-libraries --skill model-download-dev -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries model-download-dev --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .agents/skills && cp -r skills-src/microservices/model-download/.github/skills/model-download-dev .agents/skills/model-download-dev && 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-download-dev" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/model-download/.github/skills/model-download-dev into .agents/skills/model-download-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-download-dev", 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 open-edge-platform/edge-ai-libraries --skill model-download-dev -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries model-download-dev --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/microservices/model-download/.github/skills/model-download-dev .cursor/skills/model-download-dev && 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-download-dev" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/model-download/.github/skills/model-download-dev into .cursor/skills/model-download-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-download-dev", 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/open-edge-platform/edge-ai-libraries.git --path microservices/model-download/.github/skills/model-download-dev--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 open-edge-platform/edge-ai-libraries --skill model-download-dev -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries model-download-dev --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/microservices/model-download/.github/skills/model-download-dev .gemini/skills/model-download-dev && 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-download-dev" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/model-download/.github/skills/model-download-dev into .gemini/skills/model-download-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-download-dev", 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 open-edge-platform/edge-ai-libraries model-download-devInstalls 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 open-edge-platform/edge-ai-libraries --skill model-download-dev -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .github/skills && cp -r skills-src/microservices/model-download/.github/skills/model-download-dev .github/skills/model-download-dev && 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-download-dev" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/model-download/.github/skills/model-download-dev into .github/skills/model-download-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-download-dev", 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 open-edge-platform/edge-ai-libraries --skill model-download-dev -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-edge-platform/edge-ai-libraries model-download-dev --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-libraries.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/microservices/model-download/.github/skills/model-download-dev .opencode/skills/model-download-dev && 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-download-dev" agent skill from https://github.com/open-edge-platform/edge-ai-libraries/tree/main/microservices/model-download/.github/skills/model-download-dev into .opencode/skills/model-download-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-download-dev", 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.
model-download-devExtend, test, debug, or integrate the Model Download microservice codebase.
Model Download Dev is an agent skill from open-edge-platform/edge-ai-libraries. Extend, test, debug, or integrate the Model Download microservice codebase. Use this skill when a developer wants to: add a new plugin to the microservice; write tests for a plugin (including mocking subprocess calls, async methods, or the Ollama server); debug a job stuck in "downloading" or "converting"; understand the plugin interface or registration mechanism; trace how a request flows through ModelManager; extend the OpenVINO conversion parameters; add a new ModelHub value; or embed model-download into an…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `evals/evals.json`, `examples-prompts/new-downloader-plugin.md` and `examples-prompts/plugin-blueprint.md`).
It sits in DevOps & Cloud, covering Microservices, Test generation and Container orchestration. It works with Ollama and Docker. The repository describes itself as: Libraries, microservices, tools, and other reference software, supporting development of performance-optimized Edge AI applications. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3084578. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curldockerpython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use curl and docker, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Model Download Dev loads about 2k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 224 tokens; SKILL.md has 572 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.
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.
The full file from open-edge-platform/edge-ai-libraries at commit 3084578, republished under its Apache-2.0 licence (© open-edge-platform). 572 words, ~1,986 tokens.
.claude/skills/model-download-dev/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Help developers extend, test, debug, and integrate the Model Download microservice.
Codebase root:
microservices/model-download/
downloading or convertingModelManager, PluginRegistry, or PluginVenv workModelHub enum or Config schemaACTIVATED_PLUGINS env flow/models/download and /jobs/{job_id}| Reference | When to read |
|---|---|
| plugin-architecture.md | Plugin interface contract, PluginRegistry, ModelManager, PluginVenv |
| testing-patterns.md | Subprocess mocking, async fixtures, conftest patterns, parametrize |
| integration-patterns.md | App-side architecture, request flow, polling, error handling, storage wiring |
| File | Covers |
|---|---|
| examples-prompts/plugin-blueprint.md | Reusable skeleton for new downloader and converter plugins |
| examples-prompts/new-downloader-plugin.md | Wire a new downloader plugin end-to-end |
| examples-prompts/writing-tests.md | Unit test patterns for plugins with subprocess and async mocks |
src/
├── api/
│ ├── main.py ← FastAPI app, endpoints, job dispatch
│ └── models.py ← Pydantic models, ModelHub enum, ModelType, Config
├── core/
│ ├── interfaces.py ← ModelDownloadPlugin ABC (plugin_name, plugin_type, can_handle, download)
│ ├── model_manager.py ← Job lifecycle, ThreadPoolExecutor, status tracking
│ ├── plugin_registry.py ← Auto-discovery, activation check, find_plugin_for_model
│ └── plugin_venv.py ← Per-plugin venv management
└── plugins/
├── __init__.py ← PLUGINS tuple mapping — register module path + class name here
├── huggingface_plugin.py
├── ollama_plugin.py
├── openvino_plugin.py
├── ultralytics_plugin.py
├── geti_plugin.py
├── hls_plugin.py
└── pipeline_zoo_models_plugin.pyRead plugin-architecture.md first, then use the example prompts in this order:
The minimum set of surfaces that must stay aligned is:
plugin_name in the classsrc/plugins/__init__.pyModelHub enum value in src/api/models.pypyproject.tomldocker/entrypoint.shUse the current tuple-based plugin registration format:
PLUGINS = {
# ... existing entries ...
"myhub": ("src.plugins.myhub_plugin", "MyHubPlugin"),
}[!IMPORTANT]
ENABLED_PLUGINScontrols which modules are imported bysrc/plugins/__init__.pyACTIVATED_PLUGINSin/opt/activated_plugins.envis whatPluginRegistrychecks laterIf the plugin is implemented but does not appear in
/api/v1/plugins, assume one of those registration or activation surfaces is out of sync before you assume the core plugin logic is wrong.
Read integration-patterns.md first when the user is embedding model-download into another service or deployment stack.
Start by identifying the integration role:
Prefer the public REST API as the integration boundary:
GET /api/v1/healthPOST /api/v1/models/download?download_path=<subdir>job_idGET /api/v1/jobs/{job_id} until completed or faileddownload_path or conversion_pathBefore proposing code or deployment changes, capture these decisions:
| Concern | Decide |
|---|---|
| Trigger point | deploy time, app startup, first request, or admin action |
| Model source | huggingface, ollama, ultralytics, openvino, geti, pipeline-zoo-models, hls |
| Needed plugins | minimal --plugins list |
| Persistence | where MODEL_PATH lives and which services mount it |
| Completion model | synchronous wait in caller, async background job, or external orchestrator |
| Failure behavior | retry, fail startup, partial availability, or operator intervention |
Expected integration outputs include one or more of:
Ground recommendations in the current API, deployment scripts, and plugin activation flow.
Read plugin-architecture.md → "Job Lifecycle" section.
Quick diagnosis checklist:
# 1. Check service logs for exceptions
docker logs model-download 2>&1 | tail -100
# 2. Inspect the job status
curl -s http://localhost:8200/api/v1/jobs/<job-id>
# 3. Verify the plugin was activated and discovered
curl -s http://localhost:8200/api/v1/plugins
# 4. Test the plugin in isolation
python3 -c "
import asyncio
from src.plugins.myhub_plugin import MyHubPlugin
p = MyHubPlugin()
result = asyncio.run(p.download('my-model', '/tmp/test'))
print(result)
"Common causes of stuck jobs:
asyncio.to_thread for sync I/O)_ollama_download_lock) — restart containerdocker/entrypoint.sh, ENABLED_PLUGINS, and ACTIVATED_PLUGINS© open-edge-platform, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (references) in microservices/model-download/.github/skills/model-download-dev of open-edge-platform/edge-ai-libraries.
Open the folder on GitHubat commit 3084578
Model Download Dev 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 Download Dev this skillopen-edge-platform/edge-ai-libraries | 169 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Frontmcp Deploymentagentfront/frontmcp | 146 | — | ~9.2k | Automated safety check: Notes | Apache-2.0 | |
| Data Processingaiskillstore/marketplace | 430 | 1 repos | ~720 | Automated safety check: Notes | MIT | |
| Gem Devops Guidelinesgithub/awesome-copilot | 40k | 1 repos | ~743 | Automated safety check: Pass | MIT | |
| Create Pipelineharness/harness-skills | 115 | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Performing Container Security Scanning With Trivymukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~818 | Automated safety check: Pass | Apache-2.0 |
agentfront/frontmcp
A skill your agent uses when deploying, building for production, packaging, or shipping a FrontMCP server.
aiskillstore/marketplace
Process JSON with jq and YAML/TOML with yq. An agent skill from aiskillstore/marketplace.
github/awesome-copilot
Design or review infrastructure, deployment, CI/CD, Docker, Kubernetes, health checks, rollback, feature flags, production readiness, and mobile release workflows.
harness/harness-skills
Generate Harness v0 Pipeline YAML for CI/CD workflows and create them via MCP.
mukul975/Anthropic-Cybersecurity-Skills
Runs Trivy across every target type it supports - container images, filesystems, Git repositories, and Kubernetes clusters - for OS and dependency vulnerabilities, IaC misconfiguration, exposed…
rohitg00/awesome-claude-code-toolkit
CI/CD pipeline design with GitHub Actions, Docker, Kubernetes, Helm, and GitOps patterns
open-edge-platform/edge-ai-libraries
Build a new time-series analytics use case on top of the deployed Time Series Analytics microservice — bring it up with Docker Compose (from a repo clone, or by fetching the compose files from…
open-edge-platform/edge-ai-libraries
Scaffolds and wires a new NestJS service/module for the Video Search & Summarization sample app's pipeline-manager using the repo's real conventions.
open-edge-platform/edge-ai-libraries
Deploy Chat Question-and-Answer Core to Kubernetes using Helm (OpenVINO CPU, OpenVINO GPU, or Ollama), including values.yaml configuration, helm install/upgrade, deployment verification, uninstall…
open-edge-platform/edge-ai-libraries
Generates or updates CHANGELOG.md by analyzing git commit history between two branches, tags, or revisions in ANY git repository or folder.
open-edge-platform/edge-ai-libraries
Deploys and manages VSS through setup.sh and its Docker Compose overlays.
open-edge-platform/edge-ai-libraries
A skill your agent uses whenever a developer needs to deploy VSS to Kubernetes, helm install VSS, configure values.yaml for VSS, or run VSS on k8s with GPU/vLLM for the…
Categories
Extend, test, debug, or integrate the Model Download microservice codebase. Model Download Dev is an agent skill from open-edge-platform/edge-ai-libraries. Extend, test, debug, or integrate the Model Download microservice codebase.
Model Download Dev fits situations like: A developer wants to: add a new plugin to the microservice; write tests for a plugin (including mocking subprocess calls; the Ollama server); debug a job stuck in downloading.
Run `npx skills add open-edge-platform/edge-ai-libraries --skill model-download-dev -a claude-code`. Or copy the skill folder (microservices/model-download/.github/skills/model-download-dev in open-edge-platform/edge-ai-libraries) into .claude/skills/model-download-dev in your project. Claude Code loads it when a task matches its description.
Run `npx skills add open-edge-platform/edge-ai-libraries --skill model-download-dev -a codex`. Or copy the skill folder (microservices/model-download/.github/skills/model-download-dev in open-edge-platform/edge-ai-libraries) into .agents/skills/model-download-dev in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add open-edge-platform/edge-ai-libraries --skill model-download-dev -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-download-dev, .gemini/skills/model-download-dev, .github/skills/model-download-dev and .opencode/skills/model-download-dev in your project.
Going by SKILL.md and its folder, Model Download Dev needs the command-line tools its instructions call (curl, docker and python3). Our summary lists: Python 3; Docker.
SKILL.md contains no URLs. Its commands use curl and docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Model Download Dev is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k 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 5.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Model Download Dev: Frontmcp Deployment (agentfront/frontmcp, 146 stars), Data Processing (aiskillstore/marketplace, 430 stars), Gem Devops Guidelines (github/awesome-copilot, 40k stars) and Create Pipeline (harness/harness-skills, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
open-edge-platform (a GitHub organization) maintains it in open-edge-platform/edge-ai-libraries, which has 169 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 8, 2026.
Source: open-edge-platform/edge-ai-libraries on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.