Individual skill
data-resume
Writes data analyst, analytics engineer, data engineer, data scientist and machine-learning resumes. Connects methods and data products to decisions while distinguishing offline evaluation, experiments and production results; use academic-cv for an academic research record.
plugins/reactive-resume/skills/data-resume/SKILL.md
Source commit 77f5580a67d1e4379978e80410e0cd02ea3fd446
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 45,587
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- resume-builder Repository topic
- react Repository topic
- hacktoberfest Repository topic
- self-hosted Repository topic
- dsh-plugin Repository topic
- ai Repository topic
- javascript Repository topic
- typescript Repository topic
- agent-skills Repository topic
- mcp-server Repository topic
- data Derived category
- research Derived category
- education Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Data Resume
Use the user's evidence, never facts or numbers from worked examples. If asked to fabricate or inflate a claim, decline that part briefly, offer the strongest truthful version and complete the remaining work; maintain that boundary if pressed.
Show what the data work enabled and how it was evaluated. Use the user's text and permitted artifacts; no connected account is required.
## Choose the role
Do not treat every data title as interchangeable. Ask which work the user wants next and what they actually did:
| Role | Evidence to prioritize |
| ------------------ | ---------------------------------------------------------------------------------------------- |
| Analyst/BI | Business question, SQL or analysis, metric definitions, stakeholder decision and reporting use |
| Analytics engineer | Data models, tests, lineage, semantic definitions and trusted downstream use |