Provides step-by-step problem-solving strategies for limits in real analysis.

Install

mkdir -p .claude/skills/limits && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4580" && unzip -o skill.zip -d .claude/skills/limits && rm skill.zip

Installs to .claude/skills/limits

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Problem-solving strategies for limits in real analysis
54 charsno explicit “when” trigger
Advanced

Key capabilities

  • Perform direct substitution
  • Apply L'Hopital's rule
  • Verify bounds with Squeeze Theorem
  • Execute epsilon-delta proofs

How it works

It follows a decision tree of mathematical strategies, using symbolic computation and logical solvers to verify results.

Inputs & outputs

You give it
Limit expression
You get back
Calculated limit or proof

When to use limits

  • Calculating limits using direct substitution
  • Applying L'Hopital's rule for indeterminate forms
  • Verifying epsilon-delta proofs

About this skill

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

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

    • If bounded: find g(x) <= f(x) <= h(x) where lim g = lim h
    • Verify bounds with z3_solve.py prove
  4. 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.

When not to use it

  • For non-mathematical problems

Limitations

  • Requires understanding of real analysis
  • Symbolic solvers may fail on complex expressions

How it compares

It provides a structured, algorithmic approach to solving limits compared to manual derivation.

Compared to similar skills

limits side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
limits (this skill)17moReviewAdvanced
literature-review5592moReviewAdvanced
openalex-database487moReviewIntermediate
scientific-critical-thinking187moReviewAdvanced

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