mcpbeat Sign in

Library Advisor Agent Skill

Recommend relevant Isabelle/HOL or Coq standard library theories, lemmas, and tactics based on proof goals. Use when: (1) Users need library lemmas for their proof, (2) Proof goals match standard library patterns, (3) Users ask what libraries to import, (4) Specific lemmas are needed for list/set/arithmetic operations, (5) Users are stuck and need to know what library support exists, or (6) Guidance on find_theorems/Search commands is needed. Supports both Isabelle/HOL and Coq standard libraries.

7k tokens
context cost
the whole folder, loaded on every use
4
files
instructions only
0
copies elsewhere
how many repositories repackaged it
141
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill library-advisor

The instruction itself

31 sections, as written by the author

Library Usage Advisor

Recommend relevant libraries, lemmas, and theories from Isabelle/HOL or Coq standard libraries based on proof goals.

Workflow

1. Analyze the Proof Goal

Examine the goal to identify:

  • Domain: Lists, sets, arithmetic, logic, etc.
  • Operations: Specific functions or operators involved
  • Pattern: Commutativity, associativity, distributivity, etc.
  • Complexity: Simple property vs. complex relationship

2. Determine Target System

Identify which proof assistant:

  • Isabelle/HOL: Use Main library and extensions
  • Coq: Use standard library (List, Arith, etc.)
  • Both: Provide recommendations for both systems

3. Identify Relevant Libraries

Based on the domain, recommend appropriate libraries:

For list operations:

  • Isabelle: Main (List theory included)
  • Coq: Require Import List. Import ListNotations.

For arithmetic:

  • Isabelle: Main (Nat theory included)
  • Coq: Require Import Arith Lia.

For sets:

  • Isabelle: Main (Set theory included)
  • Coq: Require Import MSets.

For logic:

  • Isabelle: HOL (automatically available)
  • Coq: Require Import Logic.

4. Search for Specific Lemmas

Look for lemmas that directly match the goal:

Exact matches: Lemmas that prove the goal directly

Component lemmas: Lemmas for parts of the goal

Related lemmas: Similar properties that might help

Use the library reference files:

  • Isabelle library: See isabelle_library.md
  • Coq library: See coq_library.md

5. Recommend Usage

Provide concrete recommendations:

Direct application:

lemma "goal"
  by (simp add: relevant_lemma)

With additional steps:

Lemma goal : statement.
Proof.
  apply relevant_lemma.
  (* additional steps *)
Qed.

Manual proof with lemmas:

Show how to use lemmas in a structured proof

6. Suggest Search Commands

Teach users how to find lemmas themselves:

Isabelle:

find_theorems "pattern"
find_theorems name: "keyword"
sledgehammer

Coq:

Search pattern.
Search "keyword".
Locate "notation".

Domain-Specific Recommendations

Lists

Common goals:

  • Length properties: length_append, length_rev, length_map
  • Reverse properties: rev_rev_ident, rev_append
  • Append properties: append_assoc, append_Nil
  • Map properties: map_append, map_map
  • Membership: in_set_member, set_append

Libraries:

  • Isabelle: Main (automatic)
  • Coq: List library

Arithmetic

Common goals:

  • Commutativity: add_commute, mult_commute
  • Associativity: add_assoc, mult_assoc
  • Distributivity: add_mult_distrib
  • Inequalities: Use arith/lia tactics

Libraries:

  • Isabelle: Main (Nat theory)
  • Coq: Arith, Lia, Nia

Sets

Common goals:

  • Union/intersection: Un_commute, Int_commute
  • Subset: subset_refl, subset_trans
  • Membership: Un_iff, Int_iff

Libraries:

  • Isabelle: Main (Set theory)
  • Coq: MSets or custom definitions

Logic

Common goals:

  • Conjunction: conjI, conjE
  • Disjunction: disjI1, disjI2
  • Implication: impI, mp
  • Quantifiers: allI, exI

Libraries:

  • Isabelle: HOL (automatic)
  • Coq: Logic (mostly automatic)

Recommendation Patterns

Pattern 1: Exact Lemma Match

When goal exactly matches a known lemma:

Isabelle:

lemma "rev (rev xs) = xs"
  by (simp add: rev_rev_ident)

Coq:

Lemma example : forall l, rev (rev l) = l.
Proof.
  apply rev_involutive.
Qed.

Pattern 2: Combination of Lemmas

When goal needs multiple lemmas:

Isabelle:

lemma "length (rev (xs @ ys)) = length xs + length ys"
  by (simp add: length_rev length_append)

Coq:

Lemma example : forall l1 l2,
  length (rev (l1 ++ l2)) = length l1 + length l2.
Proof.
  intros.
  rewrite rev_length.
  rewrite app_length.
  reflexivity.
Qed.

Pattern 3: Automation

When goal is provable by automation:

Isabelle:

lemma "n + m = m + n"
  by simp
(* Or: by auto, by arith *)

Coq:

Lemma example : forall n m, n + m = m + n.
Proof.
  intros. lia.
Qed.

Pattern 4: Induction with Lemmas

When manual proof needed but lemmas help:

Isabelle:

lemma "property xs"
proof (induction xs)
  case Nil
  show ?case by simp
next
  case (Cons x xs)
  show ?case using Cons.IH by (simp add: helper_lemma)
qed

Coq:

Lemma example : forall l, property l.
Proof.
  induction l as [| x xs IHxs].
  - simpl. reflexivity.
  - simpl. rewrite IHxs. apply helper_lemma.
Qed.

Search Strategies

Isabelle:

find_theorems "rev (rev _) = _"
find_theorems "length (_ @ _)"
find_theorems "_ + _ = _ + _"

Coq:

Search rev.
Search (_ ++ _).
Search (?x + ?y = ?y + ?x).

Isabelle:

find_theorems name: "append"
find_theorems name: "comm"

Coq:

Search "append".
Search "comm" (_ + _).

Coq:

Search (list _ -> nat).
Search (_ -> _ -> _ + _).

Strategy 4: Sledgehammer/Auto

Isabelle:

lemma "goal"
  sledgehammer
  (* Suggests relevant lemmas and tactics *)

Coq:

Lemma goal : statement.
Proof.
  auto.  (* Try automatic tactics *)
Qed.

Common Recommendations by Goal Type

"rev (rev xs) = xs"

  • Isabelle: rev_rev_ident or by simp
  • Coq: rev_involutive

"length (xs @ ys) = length xs + length ys"

  • Isabelle: length_append or by simp
  • Coq: app_length

"n + m = m + n"

  • Isabelle: add_commute or by simp
  • Coq: plus_comm or lia

"x ∈ set (xs @ ys) ⟷ x ∈ set xs ∨ x ∈ set ys"

  • Isabelle: set_append
  • Coq: in_app_iff

"map f (xs @ ys) = map f xs @ map f ys"

  • Isabelle: map_append
  • Coq: map_app

Examples

For complete examples with specific proof goals and library recommendations, see examples.md.

Tips

  • Search first: Use find_theorems/Search before proving manually
  • Check automation: Try simp/auto/lia before complex proofs
  • Use sledgehammer: In Isabelle, sledgehammer finds relevant lemmas
  • Import early: Import all needed libraries at the start
  • Learn patterns: Common properties (commutativity, etc.) have standard names
  • Read library docs: Browse standard library documentation
  • Build intuition: Learn which libraries contain which lemmas
  • Combine lemmas: Complex goals often need multiple lemmas
  • Simplify first: Use simp/simpl to reduce goals before searching

Other skills for the same job

different authors, same section of the catalogue
MCP Builder
by anthropics
vendor ×13

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

30k tokens scripts
Changelog Generator
by frostant
×9

Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.

774 tokens
Finishing A Development Branch
by ZhanlinCui
×7

Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

1k tokens
MCP Builder
by JayZeeDesign
×7

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

37k tokens scripts
Vercel React Native Skills
by vercel-labs
vendor ×6

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.

39k tokens
Vercel React Best Practices
by ratacat
×5

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

34k tokens
Next Best Practices
by vercel-labs
vendor ×4

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

20k tokens
Using Git Worktrees
by ZhanlinCui
×4

Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification

1k tokens

How to use it

Copy the folder

Take arabelatso/library-advisor from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.