Agent skill · Databases

information-literacy

Skills for finding, evaluating, and using information effectively and ethically across print and digital sources. Covers the research process (question formulation, source identification, evaluation, synthesis, citation), digital literacy (search strategies, database navigation, Boolean operators), source evaluation frameworks (CRAAP, SIFT, lateral reading), media literacy (news literacy, algorithmic curation, filter bubbles), ethical use of information (plagiarism, citation, fair use, intellectual property), and reading across multiple sources to build knowledge. Use when conducting research,

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill information-literacy --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/information-literacy/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Information Literacy Information literacy is the ability to recognize when information is needed, find it efficiently, evaluate it critically, and use it effectively and ethically. In a world where anyone can publish anything instantly, the bottleneck has shifted from information scarcity to information evaluation. The functionally literate reader of the 21st century must not only read well but search well, judge well, and synthesize well. **Agent affinity:** achebe (source perspective, whose voice is represented), rosenblatt (reader as active constructor of meaning from sources), clay (assessment and scaffolding of research skills) **Concept IDs:** read-informational-text, read-primary-sources, read-digital-reading, read-technical-documents ## The Research Process Research is not a linear sequence but a recursive cycle. Researchers move between stages, refining questions as they learn and circling back to earlier stages when new information changes the picture. ### Stage 1 -- Formulate a Research Question A good research question is: - **Focused** -- narrow enough to be answerable within the scope of the project - **Open** -- not answerable with a simple yes/no or a single fact

What's inside
Steps it walks through
  1. The Research Process
  2. Stage 1 -- Formulate a Research Question
  3. Stage 2 -- Identify Sources
  4. Stage 3 -- Evaluate Sources
  5. Stage 4 -- Synthesize Information
  6. Stage 5 -- Cite and Attribute
  7. Search Strategies
  8. Keyword Development
  9. Boolean Operators
  10. Database vs. Web Search
  11. Source Evaluation Frameworks
  12. CRAAP Test
  13. SIFT Method (Caulfield, 2019)
  14. Lateral Reading
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the information-literacy skill do?

Skills for finding, evaluating, and using information effectively and ethically across print and digital sources. Covers the research process (question formulation, source identification, evaluation, synthesis, citation), digital literacy (search strategies, database navigation, Boolean operators), source evaluation frameworks (CRAAP, SIFT, lateral reading), media literacy (news literacy, algorithmic curation, filter bubbles), ethical use of information (plagiarism, citation, fair use, intellectual property), and reading across multiple sources to build knowledge. Use when conducting research,

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill information-literacy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going