limits
SolidProblem-solving strategies for limits in real analysis
AI & Automation 496 stars
41 forks Updated 1 months ago MIT
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Skill Content
# 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
```bash
uv run python -m runtime.harness scripts/sympy_compute.py limit "sin(x)/x" --var x --at 0
```
### Sympy_Diff
```bash
uv run python -m runtime.harness scripts/sympy_compute.py diff "x**2" --var x
```
### Z3_Prove
```bash
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.
Details
- Author
- vibeeval
- Repository
- vibeeval/vibecosystem
- Created
- 2 months ago
- Last Updated
- 1 months ago
- Language
- C#
- License
- MIT
Integrates with
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