smithery.ai

limits

Problem-solving strategies for limits in real analysis

First seen Mar 30, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Skill metadata

Parsed from SKILL.md frontmatter.

Allowed toolsBash, Read
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,270 B
  • docs SUMMARY.md 68 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 2 installs

SKILL.md

Limits

When to Use

Use this skill when working on limits problems in real analysis.

Decision Tree

  1. Direct Substitution

- Try plugging in the value directly - If you get a determinate form, that's the answer

  1. Indeterminate Form? (0/0, inf/inf)

- Try algebraic manipulation (factor, rationalize) - Try L'Hopital's rule: sympy_compute.py diff on numerator/denominator

  1. Squeeze Theorem

- If bounded: find g(x) <= f(x) <= h(x) where lim g = lim h - Verify bounds with z3_solve.py prove

  1. Epsilon-Delta Proof

- For rigorous proof: set up |f(x) - L| < epsilon - Find delta in terms of epsilon - Verify with math_scratchpad.py verify

Tool Commands

Sympy_Limit

uv run python -m runtime.harness scripts/sympy_compute.py limit "sin(x)/x" --var x --at 0

Sympy_Diff

uv run python -m runtime.harness scripts/sympy_compute.py diff "x**2" --var x

Z3_Prove

uv run python -m runtime.harness scripts/z3_solve.py prove "limit_bound" --vars x

Cognitive Tools Reference

See .claude/skills/math-mode/SKILL.md for full tool documentation.