Zero To AI Fullstack

REVIEW · 72
Community indexed

A Java backend engineer learning AI full-stack in public — Python · FastAPI · RAG · pgvector · Next.js

Downloads0
Stars152
Version1.0.0
Quality76/100 · Strong
Trust72/100 · Sandbox only
Audit83/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

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

Agent fit

Claude Code + LangChain + CLI

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

Install

Ready

npx skills add yanhua1010/zero-to-ai-fullstack

Maintenance

active

1mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

152

76/100 quality · 80/100 trust

Coverage tags

ResearchRAG and knowledgerag-knowledgeragretrieval

Review notes

Quality score needs review · Stars/forks activity: 152 stars, 6 forks; issue activity unavailable in current metadata

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

Strong
76

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
72

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

Audit

Safe to try
83

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.

PythonRAGCodexClaude CodeCursor

Stars

152 GitHub stars

Repo activity

152 stars, 6 forks

Maintenance

1mo since push

License

MIT

Install

npx skills add yanhua1010/zero-to-ai-fullstack

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Quality score needs review
  • Stars/forks activity: 152 stars, 6 forks; issue activity unavailable in current metadata

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
  • builders willing to evaluate younger projects
  • Chunk documents

Suited agents

PythonRAGCodexClaude CodeCursorOpenAgentSkill CLILangChainCLI

Install decision

Command
npx skills add yanhua1010/zero-to-ai-fullstack
Policy
review
Human review
yes

Trust and risk

Trust
72/100
Audit
83/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add yanhua1010/zero-to-ai-fullstack

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Quality score needs review
  • Stars/forks activity: 152 stars, 6 forks; issue activity unavailable in current metadata

Agent safety v2

67/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

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.

  • Quality score needs review

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 yanhua1010/zero-to-ai-fullstack

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

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 Zero To AI Fullstack in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Zero%20To%20AI%20Fullstack%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yanhua1010-zero-to-ai-fullstack/install
Install command: npx skills add yanhua1010/zero-to-ai-fullstack
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

Agent prompt

Use Zero To AI Fullstack for this task. Review https://www.openagentskill.com/api/skills/yanhua1010-zero-to-ai-fullstack/install, then install with: npx skills add yanhua1010/zero-to-ai-fullstack

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

Agent fit

76/100

RAG and knowledge

Platforms

Python, RAG, Claude Code, LangChain

Audit report

Safe to try · 83/100

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

Companion skill for RAG and knowledge

Shortlist this skill and compare it with close alternatives before production adoption.

76
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

RAG and knowledge

Trust label

Strong shortlist

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 76/100 quality profile
  • 3 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

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.

72
Trust score

GitHub adoption

INFO

152 GitHub stars

Stars/forks activity

CHECK

152 stars, 6 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1mo since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • Stars/forks activity: 152 stars, 6 forks; issue activity unavailable in current metadata
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

76
GitHub stars
152
Freshness
1mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

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

Compare all

Overview

A Java backend engineer learning AI full-stack in public — Python · FastAPI · RAG · pgvector · Next.js

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
ragFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/21/2026
Published
6/21/2026

Frameworks & Tools

PythonRAG

Decision snapshot

Companion skill

76
Ready
Shortlist
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

83
Safe to try
Security
88/100
Maintenance
88/100
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.

Install

Add to agent workflow

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

Growth loop

Share kit

X

Scenario-led draft for Zero To AI Fullstack, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

Zero To AI Fullstack gives coding agents a repeatable way to plan, patch, review,...

152 stars

https://www.openagentskill.com/skills/yanhua1010-zero-to-ai-fullstack?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Zero To AI Fullstack:
https://www.openagentskill.com/skills/yanhua1010-zero-to-ai-fullstack?ref=x

Install: npx skills add yanhua1010/zero-to-ai-fullstack

Listing source

Community indexed

Claimable

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

Creator
yanhua1010
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 yanhua1010 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.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/yanhua1010-zero-to-ai-fullstack)](https://www.openagentskill.com/skills/yanhua1010-zero-to-ai-fullstack)

Author

Y

yanhua1010

@yanhua1010

Health Signals

GitHub stars
152
Quality score
49/100
Last GitHub push
Jun 1, 2026
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

72
  • GitHub adoption152 GitHub starsINFO
  • Stars/forks activity152 stars, 6 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance1mo since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS