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Skills/document-processing/DeepLearningFromScratch

DeepLearningFromScratch

REVIEW · 74
Community indexed

《深度学习入门:基于Python的理论与实现》电子版及配套代码​。​

Downloads0
Stars1.1K
Version1.0.0
Quality78/100 · Strong
Trust74/100 · Sandbox only
Audit80/100 · Needs review

Supply asset profile

Research and knowledge work

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

Browse track

Scenario

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add qiaohaoforever/DeepLearningFromScratch

Maintenance

stable

8mo since push

Risk

Needs review

Quality score needs review

GitHub quality

1.1K

78/100 quality · 82/100 trust

Coverage tags

ResearchDocument processingdocument-processingpdfdocuments

Review notes

Quality score needs review · Documentation summary is thin

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
78

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
74

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

Audit

Needs review
80

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.

PythonPDFCodexClaude CodeCursor

Stars

1.1K GitHub stars

Repo activity

1.1K stars, 271 forks

Maintenance

8mo since push

License

MIT

Install

npx skills add qiaohaoforever/DeepLearningFromScratch

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Thin public metadata

Risk summary

Review before production

  • Quality score needs review
  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context

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

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Read uploaded files

Suited agents

PythonPDFCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add qiaohaoforever/DeepLearningFromScratch
Policy
review
Human review
yes

Trust and risk

Trust
74/100
Audit
80/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add qiaohaoforever/DeepLearningFromScratch
Public auditEval reportResolve APIInstall handoff

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
  • Documentation summary is thin

Alternative

Markitdown

156.1K stars

npx skills add microsoft/markitdown

Alternative

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83.1K stars

npx skills add PaddlePaddle/PaddleOCR

Alternative

Stirling PDF

81.2K stars

npx skills add Stirling-Tools/Stirling-PDF

Alternative

Tesseract

74.7K stars

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Agent safety v2

64/100 · 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 qiaohaoforever/DeepLearningFromScratch

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%20DeepLearningFromScratch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

/api/skills/qiaohaoforever-deeplearningfromscratch/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 DeepLearningFromScratch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20DeepLearningFromScratch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/qiaohaoforever-deeplearningfromscratch/install
Install command: npx skills add qiaohaoforever/DeepLearningFromScratch
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/qiaohaoforever-deeplearningfromscratch/install

LLM text format

/api/skills/qiaohaoforever-deeplearningfromscratch/install?format=text

Find alternatives

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

Agent prompt

Use DeepLearningFromScratch for this task. Review https://www.openagentskill.com/api/skills/qiaohaoforever-deeplearningfromscratch/install, then install with: npx skills add qiaohaoforever/DeepLearningFromScratch

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/qiaohaoforever-deeplearningfromscratch

LLM text

/api/registry/manifest/qiaohaoforever-deeplearningfromscratch?format=text

Install alias

/api/registry/install/qiaohaoforever-deeplearningfromscratch

Recommend

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

Agent fit

83/100

Document processing

Use-case tags

Document processingCoding agentsRAG and knowledge

Platforms

Python, PDF, Claude Code

Audit report

Needs review · 80/100

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 Document processing

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

83
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Document processing

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,133 GitHub stars
  • install command or GitHub repo available
  • 78/100 quality profile
  • 12 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Document processing 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.

74
Trust score

GitHub adoption

PASS

1.1K GitHub stars

Stars/forks activity

PASS

1.1K stars, 271 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

8mo since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • 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

  • Quality score needs review
  • Documentation summary is thin
  • README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
  • 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.

78
GitHub stars
1.1K
Freshness
8mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Parse messy files

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Build and ship code

Coding agents

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

Search private knowledge

RAG and knowledge

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

Stack fit

Add it to a complete workflow

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.

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.

Alternative shortlist

Compare before you install

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Overview

《深度学习入门:基于Python的理论与实现》电子版及配套代码​。​

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

Platform Compatibility

pythonFULL
pdfFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/25/2026
Published
5/24/2026

Frameworks & Tools

PythonPDF

Decision snapshot

Companion skill

83
Ready
Shortlist
Stage

1,133 GitHub stars

Audit snapshot

Install review

Install and adoption review

80
Needs review
Security
88/100
Maintenance
62/100
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 DeepLearningFromScratch, 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.

DeepLearningFromScratch gives coding agents a repeatable way to plan, patc...

1.1K stars

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

Install: npx skills add qiaohaoforever/DeepLearningFromScratch
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
qiaohaoforever
Source
qiaohaoforever/DeepLearningFromScratch
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 qiaohaoforever 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/qiaohaoforever-deeplearningfromscratch?metric=listed&label=Listed)](https://www.openagentskill.com/skills/qiaohaoforever-deeplearningfromscratch)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/qiaohaoforever-deeplearningfromscratch?metric=trust&label=Trust)](https://www.openagentskill.com/skills/qiaohaoforever-deeplearningfromscratch)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/qiaohaoforever-deeplearningfromscratch?metric=audit&label=Audit)](https://www.openagentskill.com/skills/qiaohaoforever-deeplearningfromscratch/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/qiaohaoforever-deeplearningfromscratch?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/qiaohaoforever-deeplearningfromscratch)
Preview badge Open audit Creator Kit

Author

Q

qiaohaoforever✓

@qiaohaoforever

Tags

pdfdocumentsextractioncodemachine-learningpythongithub

Platform Fit

Claude Code

Health Signals

GitHub stars
1.1K
Quality score
52/100
Last GitHub push
Nov 29, 2025
Framework hints
2
OpenAgentSkill views
8
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

74
  • GitHub adoption1.1K GitHub starsPASS
  • Stars/forks activity1.1K stars, 271 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance8mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextCHECK
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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