D2l En

TRUSTED · 86
Community indexed

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Downloads 0
Stars 29.0K
Version 1.0.0
Quality 81/100 · Strong
Trust 86/100 · Production candidate
Audit 78/100 · 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 + CLI + Codex

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

Install

Ready

npx skills add d2l-ai/d2l-en

Maintenance

stale

2y since push

Risk

Needs review

License is unclear

GitHub quality

29K

81/100 quality · 86/100 trust

Coverage tags

CodingCoding agentsml-automationmachine-learningautomation

Review notes

License is unclear · Repository appears 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

Strong
81

Solid option that is likely worth shortlisting for production workflows.

Trust

Production candidate
86

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

Audit

Needs review
78

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

Trust Score v3

Human review before install

Shortlist for production use, then run a normal repository and dependency review.

PythonMachine LearningCodexClaude CodeCursor

Stars

29K GitHub stars

Repo activity

29K stars, 5.1K forks

Maintenance

2y since push

License

Unknown

Install

npx skills add d2l-ai/d2l-en

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • Repository looks stale
  • Recent maintenance: 2y since push
  • License clarity: Unknown

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • 2y since push

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

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect source files
  • Explain architecture

Suited agents

PythonMachine LearningCodexClaude CodeCursorOpenAgentSkill CLICLI

Trust and risk

Trust score
86/100
Risk level
Needs review
Auto install
review

Install command

npx skills add d2l-ai/d2l-en

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • License is unclear
  • Repository appears stale

Agent safety v2

62/100 · 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.

  • License is unclear

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 d2l-ai/d2l-en

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 D2l En in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20D2l%20En%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/d2l-ai-d2l-en/install
Install command: npx skills add d2l-ai/d2l-en
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 D2l En for this task. Review https://www.openagentskill.com/api/skills/d2l-ai-d2l-en/install, then install with: npx skills add d2l-ai/d2l-en

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

83/100

Coding agents

Platforms

Python, Machine Learning, Claude Code

Audit report

Needs review · 78/100

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

View audit report

Agent decision cockpit

Companion skill for Coding agents

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

83
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Coding agents

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 28,998 GitHub stars
  • install command or GitHub repo available
  • 81/100 quality profile
  • 1 OpenAgentSkill engagement events

Review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents 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

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

86
Trust score

GitHub adoption

PASS

29K GitHub stars

Stars/forks activity

PASS

29K stars, 5.1K forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

CHECK

Unknown

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern

Review before install

  • License is unclear
  • Repository looks stale
  • Recent maintenance: 2y since push
  • License clarity: Unknown

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

81
GitHub stars
29K
Freshness
2y ago
Install ready
Yes
License
Unknown
Check before install: Repository looks stale

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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
machine-learningFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
6/16/2026
Published
6/16/2026

Frameworks & Tools

PythonMachine Learning

Decision snapshot

Companion skill

83
Ready
Shortlist
Stage

28,998 GitHub stars

Audit Snapshot

Install and adoption review

78
Needs review
Security
82/100
Maintenance
38/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for D2l En, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: D2l En

Use it when you want your coding agent to carry more repo context and ship repetitive changes faster.

29.0K stars - ml-automation
Link: https://www.openagentskill.com/skills/d2l-ai-d2l-en?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for D2l En:
https://www.openagentskill.com/skills/d2l-ai-d2l-en?ref=x

Install: npx skills add d2l-ai/d2l-en

Listing source

Community indexed

Claimable

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

Creator
d2l-ai
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 d2l-ai 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/d2l-ai-d2l-en)](https://www.openagentskill.com/skills/d2l-ai-d2l-en)

Author

D

d2l-ai

@d2l-ai

Platform Fit

Health Signals

GitHub stars
29.0K
Quality score
59/100
Last GitHub push
Aug 18, 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

Production candidate

86
  • GitHub adoption29K GitHub starsPASS
  • Stars/forks activity29K stars, 5.1K forks; issue activity unavailable in current metadataPASS
  • Recent maintenance2y since pushFIX
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS