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Skills/ml-automation/NeumAI

NeumAI

REVIEW · 65
Community indexed

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Downloads0
Stars866
Version1.0.0
Quality56/100 · Promising
Trust65/100 · Sandbox only
Audit65/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add NeumTry/NeumAI

Maintenance

stale

3y since push

Risk

Needs review

Repository appears stale

GitHub quality

866

56/100 quality · 73/100 trust

Coverage tags

CodingCoding agentsml-automationmlopsmachine-learning

Review notes

Repository appears stale · Repository looks stale

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
56

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
65

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
65

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonMLOpsCodexClaude CodeCursor

Stars

866 GitHub stars

Repo activity

866 stars, 50 forks

Maintenance

3y since push

License

Apache-2.0

Install

npx skills add NeumTry/NeumAI

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, database access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 3y since push

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Chunk documents

Suited agents

PythonMLOpsCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add NeumTry/NeumAI
Policy
review
Human review
yes

Trust and risk

Trust
65/100
Audit
65/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add NeumTry/NeumAI
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • Repository appears stale
  • Quality score needs review

Alternative

Tensorflow

195.7K stars

npx skills add tensorflow/tensorflow

Alternative

Transformers

161.6K stars

npx skills add huggingface/transformers

Alternative

Pytorch

100.8K stars

npx skills add pytorch/pytorch

Alternative

LLMs From Scratch

97.3K stars

npx skills add rasbt/LLMs-from-scratch

Agent safety v2

45/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • Repository appears stale

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add NeumTry/NeumAI

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20NeumAI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20NeumAI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/neumtry-neumai/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use NeumAI in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20NeumAI%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/neumtry-neumai/install
Install command: npx skills add NeumTry/NeumAI
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/neumtry-neumai/install

LLM text format

/api/skills/neumtry-neumai/install?format=text

Find alternatives

/api/skills/search?q=NeumAI&limit=3

Agent prompt

Use NeumAI for this task. Review https://www.openagentskill.com/api/skills/neumtry-neumai/install, then install with: npx skills add NeumTry/NeumAI

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/neumtry-neumai

LLM text

/api/registry/manifest/neumtry-neumai?format=text

Install alias

/api/registry/install/neumtry-neumai

Recommend

/api/registry/recommend?task=Use%20NeumAI%20in%20an%20agent%20workflow&limit=3

Agent fit

60/100

RAG and knowledge

Use-case tags

RAG and knowledgeCoding agentsWorkflow automation

Platforms

Python, MLOps, Claude Code, OpenAI Agents

Audit report

Needs review · 65/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for RAG and knowledge

Prototype with this skill first; keep a fallback candidate ready.

60
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

RAG and knowledge

Trust label

Prototype first

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 866 GitHub stars
  • install command or GitHub repo available
  • 56/100 quality profile
  • 4 OpenAgentSkill engagement events

Review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

65
Trust score

GitHub adoption

INFO

866 GitHub stars

Stars/forks activity

INFO

866 stars, 50 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

3y since push

License clarity

PASS

Apache-2.0

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 3y since push
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

56
GitHub stars
866
Freshness
3y ago
Install ready
Yes
License
Apache-2.0
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Stack fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Tensorflow

An Open Source Machine Learning Framework for Everyone

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Ready100
Quality100
Stars195.7K

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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Adopt
Ready100
Quality100
Stars161.6K

Pytorch

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Overview

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
mlopsFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
6/21/2026
Published
5/23/2026

Frameworks & Tools

PythonMLOps

Decision snapshot

Fallback candidate

60
Ready
Prototype
Stage

866 GitHub stars

Audit snapshot

Install review

Install and adoption review

65
Needs review
Security
86/100
Maintenance
20/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for NeumAI, ready for a manual X post.

Curator note
The useful research skills are not search wrappers. They help agents keep sources attached.

NeumAI helps agents turn docs, data, or knowledge bases into grounded work.

866 stars

https://www.openagentskill.com/skills/neumtry-neumai?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for NeumAI:
https://www.openagentskill.com/skills/neumtry-neumai?ref=x

Install: npx skills add NeumTry/NeumAI
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
NeumTry
Source
NeumTry/NeumAI
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to NeumTry but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/neumtry-neumai?metric=listed&label=Listed)](https://www.openagentskill.com/skills/neumtry-neumai)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/neumtry-neumai?metric=trust&label=Trust)](https://www.openagentskill.com/skills/neumtry-neumai)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/neumtry-neumai?metric=audit&label=Audit)](https://www.openagentskill.com/skills/neumtry-neumai/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/neumtry-neumai?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/neumtry-neumai)
Preview badge Open audit Creator Kit

Author

N

NeumTry

@neumtry

Tags

mlopsmachine-learningml-mediaaichatgptdatadata-engineeringdatabaseembeddingsetl

Platform Fit

Claude CodeOpenAI Agents

Health Signals

GitHub stars
866
Quality score
39/100
Last GitHub push
Jan 15, 2024
Framework hints
2
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

65
  • GitHub adoption866 GitHub starsINFO
  • Stars/forks activity866 stars, 50 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance3y since pushFIX
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskdatabase surfacePASS

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