siddhartha-gadgil/leanaide/epsilon-delta

Claude Code and agent skill by siddhartha-gadgil/leanaide

Trust tier 2
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LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Install

npx vskill@latest install siddhartha-gadgil/leanaide/epsilon-delta

SKILL.md

Skill: Epsilon-Delta Proofs

Pre-condition: Apply this skill when the goal is a limit, continuity, uniform continuity, convergence, or a metric/topological statement with explicit tolerances.

Goal: Choose the right tolerance parameter and verify the implication demanded by the definition.

Instructions:

  1. Unfold the Definition: Write the exact quantified statement with epsilon, delta, neighborhoods, or sequence indices.
  2. Fix the Tolerance: Let epsilon > 0 or the requested neighborhood be arbitrary.
  3. Choose the Control Parameter: Define delta, N, or a smaller neighborhood in terms of the data.
  4. Verify Positivity/Admissibility: Prove the chosen control parameter is valid.
  5. Run the Estimate: Starting from the assumed closeness, derive the target closeness.
  6. Use Standard Reductions: For sums, products, and compositions, split the tolerance into manageable pieces.

Common Failure Modes:

  • Choosing delta after assuming a special x.
  • Forgetting the 0 < |x-a| condition where needed.
  • Not proving the chosen parameter is positive.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

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Source

Popularity

Repository stars
119
Repository forks
17
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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