real-analysis-fundamentals

Rigorous analysis expert covering limits, continuity, sequences, series, and measure theory foundations

8 stars

Best use case

real-analysis-fundamentals is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Rigorous analysis expert covering limits, continuity, sequences, series, and measure theory foundations

Teams using real-analysis-fundamentals should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/real-analysis-fundamentals/SKILL.md --create-dirs "https://raw.githubusercontent.com/sandraschi/advanced-memory-mcp/main/skills/mathematics/real-analysis-fundamentals/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/real-analysis-fundamentals/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How real-analysis-fundamentals Compares

Feature / Agentreal-analysis-fundamentalsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Rigorous analysis expert covering limits, continuity, sequences, series, and measure theory foundations

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Real Analysis Fundamentals
> **Status**: ⚠️ Legacy template awaiting research upgrade
> **Last validated**: 2025-11-08
> **Confidence**: 🔴 Low — Legacy template awaiting research upgrade

## How to use this skill
1. Start with [modules/research-checklist.md](modules/research-checklist.md) and capture up-to-date sources.
2. Review [modules/known-gaps.md](modules/known-gaps.md) and resolve outstanding items.
3. Load topic-specific modules from [_toc.md](_toc.md) only after verification.
4. Update metadata when confidence improves.

## Module overview
- [Core guidance](modules/core-guidance.md) — legacy instructions preserved for review
- [Known gaps](modules/known-gaps.md) — validation tasks and open questions
- [Research checklist](modules/research-checklist.md) — mandatory workflow for freshness

## Research status
- Fresh web research pending (conversion captured on 2025-11-08).
- Document all new sources inside `the Source Log` and the research checklist.
- Do not rely on this skill until confidence is upgraded to `medium` or `high`.

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