@microsoft
Creator · microsoft
Last updated · Sep 1, 2026
Data Science For Beginners
REVIEW · 73Community indexed
10 Weeks, 20 Lessons, Data Science for All!
Creator · microsoft
Last updated · Sep 1, 2026
10 Weeks, 20 Lessons, Data Science for All!
Creator · microsoft
Last updated · Sep 1, 2026
10 Weeks, 20 Lessons, Data Science for All!
Creator · microsoft
Last updated · Sep 1, 2026
10 Weeks, 20 Lessons, Data Science for All!
Creator · microsoft
Last updated · Sep 1, 2026
10 Weeks, 20 Lessons, Data Science for All!
Sandbox only
Install targets
Codex install prompt
Install the "Data Science For Beginners" agent skill from https://github.com/microsoft/Data-Science-For-Beginners. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 10 Weeks, 20 Lessons, Data Science for All! After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-data-science-for-beginners","task":"Install Data Science For Beginners","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/Data-Science-For-Beginners
Maintenance
active
3mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
36K
100/100 Quality · 90/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
36K GitHub stars
Repo activity
36K stars, 7.3K forks
Maintenance
3mo since push
License
MIT
Install
npx skills add microsoft/Data-Science-For-Beginners
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/Data-Science-For-BeginnersDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
Agent should check
Copy prompt
Task: Use Data Science For Beginners in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install
Install command: npx skills add microsoft/Data-Science-For-Beginners
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
LLM text format
/api/skills/microsoft-data-science-for-beginners/install?format=text
Find alternatives
/api/skills/search?q=Data%20Science%20For%20Beginners&limit=3
Agent prompt
Use Data Science For Beginners for this task. Review https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install, then install with: npx skills add microsoft/Data-Science-For-BeginnersRegistry metadata
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/microsoft-data-science-for-beginners
LLM text
/api/registry/manifest/microsoft-data-science-for-beginners?format=text
Install alias
/api/registry/install/microsoft-data-science-for-beginners
Recommend
/api/registry/recommend?task=Use%20Data%20Science%20For%20Beginners%20in%20an%20agent%20workflow&limit=3
Agent fit
Data analysis
Use-case tags
Platforms
Jupyter Notebook, Data Analysis, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Data analysis
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS36K GitHub stars
Stars/forks activity
PASS36K stars, 7.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
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Apache Superset is a Data Visualization and Data Exploration Platform
10 Weeks, 20 Lessons, Data Science for All!
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.
Frameworks & tools
Decision snapshot
35,626 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Data Science For Beginners, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. Data Science For Beginners: 10 Weeks, 20 Lessons, Data Science for All! 35.6K stars https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x
Listing + install path for Data Science For Beginners: https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x Install: npx skills add microsoft/Data-Science-For-Beginners
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to microsoft 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners/audit)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)microsoft✓
@microsoft
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
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Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsSandbox only
Install targets
Codex install prompt
Install the "Data Science For Beginners" agent skill from https://github.com/microsoft/Data-Science-For-Beginners. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 10 Weeks, 20 Lessons, Data Science for All! After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-data-science-for-beginners","task":"Install Data Science For Beginners","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/Data-Science-For-Beginners
Maintenance
active
3mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
36K
100/100 Quality · 90/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
36K GitHub stars
Repo activity
36K stars, 7.3K forks
Maintenance
3mo since push
License
MIT
Install
npx skills add microsoft/Data-Science-For-Beginners
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/Data-Science-For-BeginnersDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
Agent should check
Copy prompt
Task: Use Data Science For Beginners in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install
Install command: npx skills add microsoft/Data-Science-For-Beginners
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
LLM text format
/api/skills/microsoft-data-science-for-beginners/install?format=text
Find alternatives
/api/skills/search?q=Data%20Science%20For%20Beginners&limit=3
Agent prompt
Use Data Science For Beginners for this task. Review https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install, then install with: npx skills add microsoft/Data-Science-For-BeginnersRegistry metadata
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/microsoft-data-science-for-beginners
LLM text
/api/registry/manifest/microsoft-data-science-for-beginners?format=text
Install alias
/api/registry/install/microsoft-data-science-for-beginners
Recommend
/api/registry/recommend?task=Use%20Data%20Science%20For%20Beginners%20in%20an%20agent%20workflow&limit=3
Agent fit
Data analysis
Use-case tags
Platforms
Jupyter Notebook, Data Analysis, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Data analysis
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS36K GitHub stars
Stars/forks activity
PASS36K stars, 7.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
10 Weeks, 20 Lessons, Data Science for All!
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.
Frameworks & tools
Decision snapshot
35,626 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Data Science For Beginners, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. Data Science For Beginners: 10 Weeks, 20 Lessons, Data Science for All! 35.6K stars https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x
Listing + install path for Data Science For Beginners: https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x Install: npx skills add microsoft/Data-Science-For-Beginners
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to microsoft 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners/audit)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)microsoft✓
@microsoft
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K StarsSandbox only
Install targets
Codex install prompt
Install the "Data Science For Beginners" agent skill from https://github.com/microsoft/Data-Science-For-Beginners. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 10 Weeks, 20 Lessons, Data Science for All! After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-data-science-for-beginners","task":"Install Data Science For Beginners","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/Data-Science-For-Beginners
Maintenance
active
3mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
36K
100/100 Quality · 90/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
36K GitHub stars
Repo activity
36K stars, 7.3K forks
Maintenance
3mo since push
License
MIT
Install
npx skills add microsoft/Data-Science-For-Beginners
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/Data-Science-For-BeginnersDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
Agent should check
Copy prompt
Task: Use Data Science For Beginners in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install
Install command: npx skills add microsoft/Data-Science-For-Beginners
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
LLM text format
/api/skills/microsoft-data-science-for-beginners/install?format=text
Find alternatives
/api/skills/search?q=Data%20Science%20For%20Beginners&limit=3
Agent prompt
Use Data Science For Beginners for this task. Review https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install, then install with: npx skills add microsoft/Data-Science-For-BeginnersRegistry metadata
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/microsoft-data-science-for-beginners
LLM text
/api/registry/manifest/microsoft-data-science-for-beginners?format=text
Install alias
/api/registry/install/microsoft-data-science-for-beginners
Recommend
/api/registry/recommend?task=Use%20Data%20Science%20For%20Beginners%20in%20an%20agent%20workflow&limit=3
Agent fit
Data analysis
Use-case tags
Platforms
Jupyter Notebook, Data Analysis, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Data analysis
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS36K GitHub stars
Stars/forks activity
PASS36K stars, 7.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
10 Weeks, 20 Lessons, Data Science for All!
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.
Frameworks & tools
Decision snapshot
35,626 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Data Science For Beginners, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. Data Science For Beginners: 10 Weeks, 20 Lessons, Data Science for All! 35.6K stars https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x
Listing + install path for Data Science For Beginners: https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x Install: npx skills add microsoft/Data-Science-For-Beginners
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to microsoft 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners/audit)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)microsoft✓
@microsoft
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
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Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
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74.7K StarsSandbox only
Install targets
Codex install prompt
Install the "Data Science For Beginners" agent skill from https://github.com/microsoft/Data-Science-For-Beginners. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 10 Weeks, 20 Lessons, Data Science for All! After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"microsoft-data-science-for-beginners","task":"Install Data Science For Beginners","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis.
Scenario
Data analysis
I need my agent to analyze CSV data, produce insights, and explain trends.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add microsoft/Data-Science-For-Beginners
Maintenance
active
3mo since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
36K
100/100 Quality · 90/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
36K GitHub stars
Repo activity
36K stars, 7.3K forks
Maintenance
3mo since push
License
MIT
Install
npx skills add microsoft/Data-Science-For-Beginners
Agent-readable metadata
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
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add microsoft/Data-Science-For-BeginnersDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
Agent should check
Copy prompt
Task: Use Data Science For Beginners in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Data%20Science%20For%20Beginners%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install
Install command: npx skills add microsoft/Data-Science-For-Beginners
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/microsoft-data-science-for-beginners/install
LLM text format
/api/skills/microsoft-data-science-for-beginners/install?format=text
Find alternatives
/api/skills/search?q=Data%20Science%20For%20Beginners&limit=3
Agent prompt
Use Data Science For Beginners for this task. Review https://www.openagentskill.com/api/skills/microsoft-data-science-for-beginners/install, then install with: npx skills add microsoft/Data-Science-For-BeginnersRegistry metadata
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/microsoft-data-science-for-beginners
LLM text
/api/registry/manifest/microsoft-data-science-for-beginners?format=text
Install alias
/api/registry/install/microsoft-data-science-for-beginners
Recommend
/api/registry/recommend?task=Use%20Data%20Science%20For%20Beginners%20in%20an%20agent%20workflow&limit=3
Agent fit
Data analysis
Use-case tags
Platforms
Jupyter Notebook, Data Analysis, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
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
Data analysis
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS36K GitHub stars
Stars/forks activity
PASS36K stars, 7.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASS3mo since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Analyze datasets
I need my agent to analyze CSV data, produce insights, and explain trends.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
Apache Superset is a Data Visualization and Data Exploration Platform
10 Weeks, 20 Lessons, Data Science for All!
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.
Frameworks & tools
Decision snapshot
35,626 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
Early agent signal: 1 outcome, 100% success, Agent Proven Score 42/100.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for Data Science For Beginners, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. Data Science For Beginners: 10 Weeks, 20 Lessons, Data Science for All! 35.6K stars https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x
Listing + install path for Data Science For Beginners: https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=x Install: npx skills add microsoft/Data-Science-For-Beginners
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to microsoft 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners/audit)
[](https://www.openagentskill.com/skills/microsoft-data-science-for-beginners?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)microsoft✓
@microsoft
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67.2K StarsD3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113.1K StarsScientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33.5K StarsSuperset
Apache Superset is a Data Visualization and Data Exploration Platform
74.7K Starsstandard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Usable metadata, review docs
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Usable metadata, review docs
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Usable metadata, review docs
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
Early agent signal: 100% success from 1 agent outcomes
Docs
Usable metadata, review docs
Risk summary
Install readiness