Agent skill

Tactic Suggestion Assistant

by ArabelaTso in ArabelaTso/Skills-4-SE

Analyze proof states in Isabelle or Coq and suggest applicable tactics to make progress.

Apache-2.0Auto-check passed

Install Tactic Suggestion Assistant

skills CLI
$ npx skills add ArabelaTso/Skills-4-SE --skill tactic-suggestion-assistant -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ArabelaTso/Skills-4-SE tactic-suggestion-assistant --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ArabelaTso/Skills-4-SE.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tactic-suggestion-assistant .claude/skills/tactic-suggestion-assistant && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tactic-suggestion-assistant
GitHub stars
253
Token cost
~2k tokens
SKILL.md length
904 words
Files
4 (incl. references)
Skills in repo
170
Repo updated
First seen
Licence
Apache-2.0

At a glance

Analyze proof states in Isabelle or Coq and suggest applicable tactics to make progress.

  • Works in 5 steps: Identify the Proof System → Analyze Goal Structure → Examine Context → …
  • Users need help with:
  • SKILL.md covers Overview, How to Use, Analysis Process and Suggestion Format, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tactic Suggestion Assistant is an agent skill from ArabelaTso/Skills-4-SE. Analyze proof states in Isabelle or Coq and suggest applicable tactics to make progress. Use when users need help with: (1) Choosing the next tactic in an interactive proof, (2) Understanding what tactics apply to their current goal, (3) Getting unstuck in a proof, (4) Learning which tactics work for specific goal structures (conjunctions, implications, induction, etc.). Provides 3-5 ranked tactic suggestions with explanations for intermediate-level proofs in both Isabelle/Isar and Coq.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/coq_tactics.md`, `references/isabelle_tactics.md` and `references/proof_patterns.md`).

The repository describes itself as: A curated list of 180+ useful Claude Skills for Software Engineering and resources for customizing AI for SE workflows. The licence is Apache-2.0.

When your agent uses it

  • Users need help with:
  • Choosing the next tactic in an interactive proof
  • Understanding what tactics apply to their current goal
  • Getting unstuck in a proof

Example prompts

  • “/tactic-suggestion-assistant”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Identify the Proof System
  2. Analyze Goal Structure
  3. Examine Context
  4. Consider Variable Types
  5. Rank Suggestions

What it can do on your machine

Read from SKILL.md and the folder at commit 4f38503. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are isabelle and coq).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tactic Suggestion Assistant loads about 2k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 904 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ArabelaTso/Skills-4-SE at commit 4f38503, republished under its Apache-2.0 licence (© ArabelaTso). 904 words, ~1,992 tokens.

Download SKILL.mdSave it as .claude/skills/tactic-suggestion-assistant/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
tactic-suggestion-assistant
description
Analyze proof states in Isabelle or Coq and suggest applicable tactics to make progress. Use when users need help with: (1) Choosing the next tactic in an interactive proof, (2) Understanding what tactics apply to their current goal, (3) Getting unstuck in a proof, (4) Learning which tactics work for specific goal structures (conjunctions, implications, induction, etc.). Provides 3-5 ranked tactic suggestions with explanations for intermediate-level proofs in both Isabelle/Isar and Coq.

Tactic Suggestion Assistant

Analyze proof states and suggest applicable tactics to make progress in Isabelle or Coq.

Overview

This skill helps you navigate interactive proofs by analyzing the current proof state and suggesting 3-5 ranked tactics that can make progress. It works with both Isabelle/Isar and Coq, providing system-specific suggestions with explanations.

How to Use

Provide the current proof state including:

  1. System: Isabelle or Coq
  2. Goal: The current goal to prove
  3. Context: Available hypotheses/assumptions (if any)
  4. Variables: Types of variables involved (optional but helpful)

The assistant will analyze the state and suggest tactics ranked by likelihood of success.

Analysis Process

Step 1: Identify the Proof System

Determine whether you're working in Isabelle or Coq based on syntax:

  • Isabelle: Uses ⟹, ∧, ∨, ∀, ∃, 'a list, etc.
  • Coq: Uses ->, /\, \/, forall, exists, list A, etc.
Step 2: Analyze Goal Structure

Examine the goal's logical form:

  • Conjunction: P ∧ Q / P /\ Q → Split tactics
  • Implication: P ⟹ Q / P -> Q → Introduction tactics
  • Quantification: ∀x. P / forall x, P → Variable introduction
  • Equality: t1 = t2 → Simplification or rewriting
  • Inductive types: Lists, nat, trees → Induction or case analysis
Step 3: Examine Context

Look at available hypotheses:

  • Equations: Can be used for rewriting
  • Inductive predicates: Can be inverted or used directly
  • Conjunctions: Can be decomposed
  • Disjunctions: Require case analysis
Step 4: Consider Variable Types

Type information guides tactic choice:

  • Lists: Suggest induction or case analysis (empty vs cons)
  • Natural numbers: Suggest induction or case analysis (0 vs successor)
  • Options: Suggest case analysis (None vs Some)
  • Custom types: Suggest structural induction
Step 5: Rank Suggestions

Provide 3-5 tactics ranked by:

  1. Structural match with goal
  2. Simplicity and directness
  3. Automation potential
  4. Common proof patterns
  5. Context support

Suggestion Format

For each suggested tactic, provide:

  1. Tactic: The exact tactic syntax
  2. Rationale: Why this tactic applies
  3. Effect: What happens after applying it
  4. Likelihood: High/Medium/Low

Example: Isabelle Proof State

Proof state:

isabelle
goal (1 subgoal):
 1. ⋀xs ys. length xs = length ys ⟹ length (xs @ ys) = 2 * length xs

Analysis:

  • Goal: Implication with equality
  • Hypothesis: length xs = length ys
  • Variables: Lists xs and ys

Suggestions:

  1. by simp (High likelihood)

    • Rationale: Goal is an arithmetic equality that simplification can handle
    • Effect: Simplifies length (xs @ ys) to length xs + length ys, then uses hypothesis
    • Try this first for simple arithmetic goals
  2. apply (subst length_append) (Medium likelihood)

    • Rationale: Explicitly unfold the append length property
    • Effect: Rewrites length (xs @ ys) to length xs + length ys
    • More explicit than simp, useful if simp fails
  3. using assms by auto (Medium likelihood)

    • Rationale: Use assumptions with automation
    • Effect: Combines hypothesis with automatic reasoning
    • Good fallback if simp doesn't work

Example: Coq Proof State

Proof state:

coq
1 subgoal
n : nat
IHn : even n -> even (n + 2)
============================
even n -> even (S (S n))

Analysis:

  • Goal: Implication
  • Hypothesis: Induction hypothesis IHn
  • Variables: Natural number n
  • Context: In an induction proof

Suggestions:

  1. intro H. (High likelihood)

    • Rationale: Goal is an implication, introduce the hypothesis
    • Effect: Adds H: even n to context, goal becomes even (S (S n))
    • Standard first step for implications
  2. intros. simpl. apply IHn. assumption. (High likelihood)

    • Rationale: Complete proof chain using IH
    • Effect: Introduces hypothesis, simplifies, applies IH, solves with assumption
    • Direct solution if S (S n) simplifies to n + 2
  3. intro H. rewrite <- plus_n_Sm. rewrite <- plus_n_O. apply IHn. exact H. (Medium likelihood)

    • Rationale: Rewrite to match IH form
    • Effect: Converts S (S n) to n + 2 form to use IH
    • Needed if simplification doesn't automatically match
  4. auto. (Low likelihood)

    • Rationale: Try automation
    • Effect: May solve if proof is straightforward
    • Worth trying but may not have enough hints
Show full SKILL.md (338 more words)Show less

Common Situations

Situation: Conjunction Goal

Isabelle: ⊢ P ∧ Q

  • apply (rule conjI) - Split into two goals
  • by auto - If both parts are trivial
  • by simp - If simplification proves both

Coq: P /\ Q

  • split. - Split into two goals
  • auto. - If both parts are trivial
  • intuition. - Propositional reasoning
Situation: Need Induction

Indicators: Goal about all elements of a list/nat, recursive structure

Isabelle:

  • proof (induction xs) - List induction
  • proof (induction n) - Nat induction
  • proof (induction t) - Custom type induction

Coq:

  • induction l as [|x l' IH]. - List induction
  • induction n as [|n' IH]. - Nat induction
  • induction t. - Custom type induction
Situation: Case Analysis Needed

Indicators: Goal or hypothesis with conditional, pattern match

Isabelle:

  • proof (cases xs) - Case analysis on variable
  • proof (cases "condition") - Case split on boolean
  • by (auto split: if_split) - Auto with case split

Coq:

  • destruct l as [|x l']. - Case analysis on variable
  • destruct (condition). - Case split on boolean
  • case_eq term. - Case analysis with equation
Situation: Arithmetic Goal

Indicators: Goal with +, -, *, <, ≤

Isabelle:

  • by arith - Arithmetic decision procedure
  • by linarith - Linear arithmetic
  • by simp - Simplification

Coq:

  • lia. - Linear integer arithmetic
  • nia. - Non-linear arithmetic
  • ring. - Ring solver
Situation: Stuck on Complex Goal

Indicators: Many connectives, nested structure

Isabelle:

  • by auto - Full automation
  • by fastforce - Aggressive automation
  • sledgehammer - External provers

Coq:

  • auto. - Automation
  • intuition. - Propositional reasoning
  • firstorder. - First-order reasoning
  • tauto. - Tautology solver

References

Detailed tactic references and patterns:

Load these references when you need:

  • Complete tactic syntax and options
  • Advanced tactic usage
  • Detailed pattern matching rules
  • Tactic combinators and composition

Tips for Effective Suggestions

  1. Start simple: Suggest automation (auto, simp) before manual tactics
  2. Match structure: Prioritize tactics that directly match the goal form
  3. Consider context: Use available hypotheses in suggestions
  4. Explain effects: Clearly state what happens after applying the tactic
  5. Provide alternatives: Offer 3-5 options ranked by likelihood
  6. Be specific: Give exact syntax, not just tactic names
  7. Learn from failures: If a suggested tactic fails, analyze why and suggest alternatives

© ArabelaTso, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/tactic-suggestion-assistant of ArabelaTso/Skills-4-SE.

  • SKILL.md
  • references/coq_tactics.md
  • references/isabelle_tactics.md
  • references/proof_patterns.md

Open the folder on GitHubat commit 4f38503

Compare with similar skills

Tactic Suggestion Assistant next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tactic Suggestion Assistant compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tactic Suggestion Assistant this skillArabelaTso/Skills-4-SE253—~2kAutomated safety check: PassApache-2.0
Editor Application Get StateIvanMurzak/Unity-MCP4.4k—~843Automated safety check: PassApache-2.0
Proof Videoopenclaw/openclaw392k—~2.4kAutomated safety check: PassMIT
Editor Application Set StateIvanMurzak/Unity-MCP4.4k—~981Automated safety check: PassApache-2.0
State Managementcompozy/compozy2.8k—~2.5kAutomated safety check: PassMIT
Robius State Managementsickn33/agentic-awesome-skills47k2 repos~3.3kAutomated safety check: PassMIT

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Questions about Tactic Suggestion Assistant

What does Tactic Suggestion Assistant do?

Analyze proof states in Isabelle or Coq and suggest applicable tactics to make progress. Tactic Suggestion Assistant is an agent skill from ArabelaTso/Skills-4-SE. Analyze proof states in Isabelle or Coq and suggest applicable tactics to make progress.

When should I use Tactic Suggestion Assistant?

Tactic Suggestion Assistant fits situations like: users need help with:; choosing the next tactic in an interactive proof; understanding what tactics apply to their current goal; getting unstuck in a proof.

How do I install Tactic Suggestion Assistant in Claude Code?

Run `npx skills add ArabelaTso/Skills-4-SE --skill tactic-suggestion-assistant -a claude-code`. Or copy the skill folder (skills/tactic-suggestion-assistant in ArabelaTso/Skills-4-SE) into .claude/skills/tactic-suggestion-assistant in your project. Claude Code loads it when a task matches its description.

How do I install Tactic Suggestion Assistant in Codex?

Run `npx skills add ArabelaTso/Skills-4-SE --skill tactic-suggestion-assistant -a codex`. Or copy the skill folder (skills/tactic-suggestion-assistant in ArabelaTso/Skills-4-SE) into .agents/skills/tactic-suggestion-assistant in your project. Codex loads it when a task matches its description.

Can I use Tactic Suggestion Assistant in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ArabelaTso/Skills-4-SE --skill tactic-suggestion-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tactic-suggestion-assistant, .gemini/skills/tactic-suggestion-assistant, .github/skills/tactic-suggestion-assistant and .opencode/skills/tactic-suggestion-assistant in your project.

What does Tactic Suggestion Assistant need to run?

SKILL.md names no scripts, command-line tools or credentials: Tactic Suggestion Assistant is instructions for the agent only.

Does Tactic Suggestion Assistant access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tactic Suggestion Assistant safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tactic Suggestion Assistant use?

Tactic Suggestion Assistant is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tactic Suggestion Assistant use?

About 2k tokens (SKILL.md is roughly 8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.1k tokens, read only when the agent opens those files.

What are the alternatives to Tactic Suggestion Assistant?

Skills that share tags, products or a category with Tactic Suggestion Assistant: Editor Application Get State (IvanMurzak/Unity-MCP, 4.4k stars), Proof Video (openclaw/openclaw, 392k stars), Editor Application Set State (IvanMurzak/Unity-MCP, 4.4k stars) and State Management (compozy/compozy, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tactic Suggestion Assistant?

ArabelaTso (a GitHub user) maintains it in ArabelaTso/Skills-4-SE, which has 253 GitHub stars. The repository holds 170 skills in this directory. The repository was last updated on August 21, 2026.

Source: ArabelaTso/Skills-4-SE on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.