100 Days Of ML Code
100 Days of ML Coding
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
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 Avik-Jain/100-Days-Of-ML-Code
Maintenance
stale
2y since push
Risk
Needs review
Repository appears stale
GitHub quality
51K
88/100 quality · 85/100 trust
Coverage tags
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
51K GitHub stars
Repo activity
51K stars, 12K forks
Maintenance
2y since push
License
MIT
Install
npx skills add Avik-Jain/100-Days-Of-ML-Code
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Docs
Usable metadata, review docs
Risk summary
Review before production
- Repository looks stale
- Documentation summary is thin
- Recent maintenance: 2y since push
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 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.
Suited tasks
- Coding agents workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Inspect source files
- Explain architecture
Suited agents
Trust and risk
- Trust score
- 85/100
- Risk level
- Needs review
- Auto install
- review
Do not use when
- teams that require actively maintained dependencies
- production agents without a repository review
- Repository looks stale
- No OpenAgentSkill engagement data yet
- Repository appears stale
Agent safety v2
62/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
- 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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add Avik-Jain/100-Days-Of-ML-CodeAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20100%20Days%20Of%20ML%20Code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20100%20Days%20Of%20ML%20Code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/avik-jain-100-days-of-ml-code/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 100 Days Of ML Code in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20100%20Days%20Of%20ML%20Code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/avik-jain-100-days-of-ml-code/install
Install command: npx skills add Avik-Jain/100-Days-Of-ML-Code
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.
Install handoff
/api/skills/avik-jain-100-days-of-ml-code/install
LLM text format
/api/skills/avik-jain-100-days-of-ml-code/install?format=text
Find alternatives
/api/skills/search?q=100%20Days%20Of%20ML%20Code&limit=3
Agent prompt
Use 100 Days Of ML Code for this task. Review https://www.openagentskill.com/api/skills/avik-jain-100-days-of-ml-code/install, then install with: npx skills add Avik-Jain/100-Days-Of-ML-CodeRegistry 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.
Manifest
/api/registry/manifest/avik-jain-100-days-of-ml-code
LLM text
/api/registry/manifest/avik-jain-100-days-of-ml-code?format=text
Install alias
/api/registry/install/avik-jain-100-days-of-ml-code
Recommend
/api/registry/recommend?task=Use%20100%20Days%20Of%20ML%20Code%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
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.
Agent decision cockpit
Primary pick for Coding agents
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Coding agents
Trust label
Production-ready
Install path
Command ready
Use when
- Coding agents workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 51,257 GitHub stars
- install command or GitHub repo available
- 88/100 quality profile
Review first
- Repository looks stale
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Coding agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
PASS51K GitHub stars
Stars/forks activity
PASS51K stars, 12K forks; issue activity unavailable in current metadata
Recent maintenance
FIX2y since push
License clarity
PASSMIT
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
- Repository looks stale
- Documentation summary is thin
- Recent maintenance: 2y since push
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Excellent candidate for agent workflows
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Use this skill in these scenarios
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.
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
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.
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.
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.
Alternative shortlist
Compare before you install
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Overview
100 Days of ML Coding
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
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Primary pick
51,257 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 88/100
- Maintenance
- 20/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for 100 Days Of ML Code, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: 100 Days Of ML Code Use it when you want your coding agent to carry more repo context and ship repetitive change... 51.3K stars - ml-automation Link: https://www.openagentskill.com/skills/avik-jain-100-days-of-ml-code?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for 100 Days Of ML Code: https://www.openagentskill.com/skills/avik-jain-100-days-of-ml-code?ref=x Install: npx skills add Avik-Jain/100-Days-Of-ML-Code
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Avik-Jain
- 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 skillOwner claim
Claim this skill listing
This community indexed listing is attributed to Avik-Jain 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.
[](https://www.openagentskill.com/skills/avik-jain-100-days-of-ml-code)Author
Avik-Jain✓
@avik-jain
Tags
Platform Fit
Health Signals
- GitHub stars
- 51.3K
- Quality score
- 61/100
- Last GitHub push
- Dec 29, 2023
- Framework hints
- 1
- OpenAgentSkill views
- 0
- 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
Strong shortlist
- GitHub adoption51K GitHub starsPASS
- Stars/forks activity51K stars, 12K forks; issue activity unavailable in current metadataPASS
- Recent maintenance2y since pushFIX
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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