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/compactness

Problem-solving strategies for compactness in topology

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continuous-claude-v3
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$ npx -y skills add parcadei/Continuous-Claude-v3 --skill compactness --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
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  • Slash command/compactness

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Problem-solving strategies for compactness in topology

SKILL.md

compactness.SKILL.md
name: compactness
description: "Problem-solving strategies for compactness in topology"
allowed-tools: [Bash, Read]

Compactness

When to Use

Use this skill when working on compactness problems in topology.

Decision Tree

1. **Is X compact?**

  • If X subset R^n: Is X closed AND bounded? (Heine-Borel)
  • If X is metric: Does every sequence have convergent subsequence?
  • General: Does every open cover have finite subcover?
  • `z3_solve.py prove "bounded_and_closed"`

2. **Compactness Tests**

  • Heine-Borel (R^n): closed + bounded = compact
  • Sequential: every sequence has convergent subsequence
  • `sympy_compute.py limit "a_n" --var n` to check convergence

3. **Product Spaces**

  • Tychonoff: product of compact spaces is compact
  • Finite products preserve compactness directly

4. **Consequences of Compactness**

  • Continuous image of compact is compact
  • Continuous real function on compact attains max/min
  • `sympy_compute.py maximum "f(x)" --var x --domain "[a,b]"`

Tool Commands

Z3_Bounded_Closed

uv run python -m runtime.harness scripts/z3_solve.py prove "bounded_and_closed"

Sympy_Limit

uv run python -m runtime.harness scripts/sympy_compute.py limit "a_n" --var n --at oo

Sympy_Maximum

uv run python -m runtime.harness scripts/sympy_compute.py maximum "f(x)" --var x --domain "[a,b]"

Key Techniques

*From indexed textbooks:*

  • [Topology (Munkres, James Raymond) (Z-Library)] CompactSpaces163 164ConnectednessandCompactnessCh. Itisnotasnaturalorintuitiveastheformer;somefamiliaritywithitisneededbeforeitsusefulnessbecomesapparent. AcollectionAofsubsetsofaspaceXissaidtocoverX,ortobeacoveringofX,iftheunionoftheelementsofAisequaltoX.
  • [Real Analysis (Halsey L. Royden, Patr... (Z-Library)] If X contains more than one point, show that the only possible extreme points of B have norm 1. If X = Lp[a, b], 1 < p < ∞, show that every unit vector in B is an extreme point of B. If X = L∞[a, b], show that the extreme points of B are those functions f ∈ B such that |f | = 1 almost everywhere on [a, b].
  • [Topology (Munkres, James Raymond) (Z-Library)] ShowthatinthenitecomplementtopologyonR,everysubspaceiscom-pact. IfRhasthetopologyconsistingofallsetsAsuchthatR−AiseithercountableorallofR,is[0,1]acompactsubspace? ShowthataniteunionofcompactsubspacesofXiscompact.
  • [Real Analysis (Halsey L. Royden, Patr... (Z-Library)] The Eberlein-ˇSmulian Theorem . Metrizability of Weak Topologies . X is reexive; (ii) B is weakly compact; (iii) B is weakly sequentially compact.
  • [Topology (Munkres, James Raymond) (Z-Library)] SupposethatYiscompactandA={Aα}α∈JisacoveringofYbysetsopeninX. Thenthecollection{Aα∩Y|α∈J}isacoveringofYbysetsopeninY;henceanitesubcollection{Aα1∩Y,. Aαn}isasubcollectionofAthatcoversY.

Cognitive Tools Reference

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

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