Agent skill

Rust Refactor

by pproenca in pproenca/dot-skills

Decision frameworks for Rust refactoring, simplification, module decomposition, and incremental migration.

MITAuto-check passedDevelopment

Install Rust Refactor

skills CLI
$ npx skills add pproenca/dot-skills --skill rust-refactor -a claude-code

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

GitHub CLI
$ gh skill install pproenca/dot-skills rust-refactor --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/pproenca/dot-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/rust-refactor .claude/skills/rust-refactor && 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
rust-refactor
GitHub stars
214
Token cost
~2.5k tokens
SKILL.md length
760 words
Files
3
Skills in repo
182
Repo updated
First seen
Licence
MIT

At a glance

Decision frameworks for Rust refactoring, simplification, module decomposition, and incremental migration.

  • Works in 4 steps: "Is this parameter just being forwarded?" → "Is this feature flag still needed?" → "Is this file doing too many things?" → …
  • Simplifying Rust code
  • SKILL.md covers The Two Refactoring Philosophies, The 4 Diagnostic Questions, The 6 Refactoring… and The "Rewrite, Don't Rewire"…, plus 2 more sections
  • Calls cargo

What it does

Rust Refactor is an agent skill from pproenca/dot-skills. Decision frameworks for Rust refactoring, simplification, module decomposition, and incremental migration. Use this skill when simplifying Rust code, splitting large files, removing dead abstractions, migrating types incrementally, or cleaning up feature flags. Triggers on Rust refactoring, simplification, module splitting, parameter cleanup, or incremental type migration.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `AGENTS.md` and `metadata.json`).

It sits in Development, covering Refactoring. It works with Rust. The repository describes itself as: A collection of AI agent skills following the Agent Skills open format. The licence is MIT.

When your agent uses it

  • Simplifying Rust code
  • Splitting large files
  • Removing dead abstractions
  • Migrating types incrementally

Example prompts

  • “/rust-refactor”

Workflow steps

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

  1. "Is this parameter just being forwarded?"
  2. "Is this feature flag still needed?"
  3. "Is this file doing too many things?"
  4. "Does this struct have mutually exclusive optional fields?"

What it can do on your machine

Read from SKILL.md and the folder at commit cf93c57. 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

    Shell commands in SKILL.md call:

    • cargo

    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

Rust Refactor loads about 2.5k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 760 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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 pproenca/dot-skills at commit cf93c57, republished under its MIT licence (© pproenca). 760 words, ~2,463 tokens.

Download SKILL.mdSave it as .claude/skills/rust-refactor/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
rust-refactor
description
Decision frameworks for Rust refactoring, simplification, module decomposition, and incremental migration. Use this skill when simplifying Rust code, splitting large files, removing dead abstractions, migrating types incrementally, or cleaning up feature flags. Triggers on Rust refactoring, simplification, module splitting, parameter cleanup, or incremental type migration.

Rust Refactoring Frameworks

This skill teaches you to look at working Rust code and see unnecessary complexity. Every refactoring starts with a diagnostic question, follows a transformation pattern, and ends with a self-review checklist.


The Two Refactoring Philosophies

Before touching code, decide which mode you are in.

Defensive mode: Add abstraction for safety. Split types. Create From bridges. Audit every consumer. Use when: security-critical code, type evolution, multi-crate dependencies.

Offensive mode: Delete indirection. Remove forwarded parameters. Collapse layers. Use when: the abstraction adds complexity without adding safety, the mediator just forwards, the parameter is always None.

Know which mode you are in. Do not add abstraction when you should be deleting, and do not delete safety layers when you should be adding them.


The 4 Diagnostic Questions

Run these BEFORE touching any code. They determine WHAT to refactor.

1. "Is this parameter just being forwarded?"

Signal: The function body only passes the parameter to another function. No local logic depends on it. Action: Remove it. Replace with ambient/global access at the point of actual use. Remove from the lowest layer first, fix compilation errors upward.

2. "Is this feature flag still needed?"

Signal: Stage is Stable or equivalent, default is enabled, no rollback planned. Action: Remove the flag. Delete the conditional. Rename gated functions (init_if_enabled -> init). Remove monitoring scaffolding.

3. "Is this file doing too many things?"

Signal: File over ~500 lines with impl blocks operating on different domains (e.g., threads AND logs AND jobs). Action: Split by domain (what it operates on), not by layer. See Module Decomposition Guide below.

4. "Does this struct have mutually exclusive optional fields?"

Signal: 2+ Option<T> fields where only one should be set at a time. Code like if a.is_some() { assert!(b.is_none()) } or fields named x_config that only apply to one mode. Action: Convert to an enum where each variant carries only its relevant data.

rust
// BEFORE: invalid states representable
struct Auth { api_key: Option<String>, oauth_token: Option<String>, storage: Option<TokenStore> }
// AFTER: each variant carries only what it needs
enum Auth { ApiKey(String), OAuth { token: String, storage: TokenStore } }

The 6 Refactoring Transformations

Transformation 1: Forwarded Parameter -> Ambient Access
rust
// BEFORE: metrics threaded through every signature, never used locally
pub async fn process_batch(db: &Database, config: &Config,
    metrics: Option<&MetricsClient>) {           // forwarded
    for item in db.pending_items(config).await? {
        process_item(db, item, metrics).await?;  // forwarded again
    }
}
// AFTER: ambient access at the single point of use
pub async fn process_batch(db: &Database, config: &Config) {
    for item in db.pending_items(config).await? {
        process_item(db, item).await?;
    }
}
pub async fn process_item(db: &Database, item: Item) {
    let result = transform(item)?;
    db.save(result).await?;
    if let Some(m) = metrics::global().as_ref() { m.counter("items_processed", 1); }
}

Coordination: Remove from the lowest layer first. Every intermediate commit must compile.

Transformation 2: Monolithic File -> Domain-Split Modules
// BEFORE: src/runtime.rs (950 lines, four concerns)
// AFTER:
src/runtime/mod.rs       (~30 lines: struct def, init, re-exports)
src/runtime/threads.rs   (~200 lines)
src/runtime/logs.rs      (~250 lines)
src/runtime/jobs.rs      (~300 lines)
src/runtime/cache.rs     (~120 lines)

Each file is an impl block extension of the same struct. Tests move WITH their code.

Transformation 3: Big-Bang Type Change -> Incremental From Bridge
rust
// STEP 1: New types alongside old, with From bridges
impl From<&LegacyPolicy> for NetworkPolicy {
    fn from(value: &LegacyPolicy) -> Self {
        match value {
            LegacyPolicy::FullAccess => NetworkPolicy::Enabled,
            _ => NetworkPolicy::Restricted,
        }
    }
}
// STEP 2: Runtime carries both representations simultaneously
pub struct Permissions {
    pub legacy: LegacyPolicy,         // existing consumers keep working
    pub network_policy: NetworkPolicy, // new consumers use richer types
}

Stacked changes -- each step is a separate, independently compilable commit:

  1. Add new types and From bridges
  2. Plumb new types through runtime alongside old
  3. Migrate consumers one at a time (one commit per subsystem)
  4. Remove legacy type only after ALL consumers migrated
Transformation 4: Dead Feature Flag -> Clean Removal
rust
// BEFORE: init_if_enabled(config) -> Option<Handle>
// AFTER:  init(config) -> Handle  (unconditional, renamed)

Full cleanup sequence:

  1. Remove flag check from all call sites
  2. Rename gated functions: init_if_enabled -> init
  3. Simplify return types: Option<Handle> -> Handle
  4. Move the flag to Stage::Removed in the features registry
  5. Remove conditional branches entirely (do not just change the default)
  6. Check #[cfg(feature = "...")] in Cargo.toml -- make those deps unconditional
  7. Remove comparison/discrepancy metrics that tracked old vs new path
  8. Delete the feature flag definition

Order: ship -> stabilize -> clean structure -> optimize -> remove flag -> remove scaffolding.

Show full SKILL.md (266 more words)Show less
Transformation 5: Crate Extraction with Measurement

Not just code organization -- this is about build performance.

# 1. Measure baseline
cargo build -p parent-crate --timings   # record check + test compile time
# 2. Extract: create new crate, move code, add re-exports for backward compat
# 3. Measure after
cargo build -p parent-crate --timings   # compare
# 4. Report in commit message:
#    cargo check: 57.08s -> 53.54s (~6.2% faster)
#    cargo test --no-run: 2m39.9s -> 2m20s (~12.4% faster)

Extraction sequence:

  1. Identify a domain-coherent boundary with self-contained dependencies
  2. Create new crate with minimal Cargo.toml
  3. Move code, keeping re-exports in the original crate for backward compat
  4. Update workspace manifests and lockfiles
  5. Verify: cargo test -p parent-crate && cargo test -p new-crate
Transformation 6: Mutually Exclusive Options -> Enum
rust
// BEFORE: three options, only one valid at a time
struct ShellMode {
    direct_cmd: Option<String>,
    zsh_fork_config: Option<ZshForkConfig>,
    pty_handle: Option<PtyHandle>,
}
// AFTER: disjoint union, invalid states unrepresentable
enum ShellMode { Direct(String), ZshFork(ZshForkConfig), Pty(PtyHandle) }

Steps: Audit construction sites for valid combinations -> define enum variants -> replace struct construction -> replace if x.is_some() with match -> remove defensive assertions.


The "Rewrite, Don't Rewire" Principle

When the bug is in a function's LOGIC (not its wiring), rewrite the body with explicit ordered checks. Do not delegate to an existing API that happens to produce correct results.

rust
// WRONG: rewire through existing API ("happens to work")
fn resolve_policy(input: &Input) -> Policy {
    default_policy(input).override_with(input.overrides())
}
// RIGHT: explicit ordered checks
fn resolve_policy(input: &Input) -> Policy {
    if input.is_admin() { return Policy::FullAccess; }
    if input.has_restriction("network") { return Policy::NetworkDenied; }
    if input.is_sandbox_mode() { return Policy::ReadOnly; }
    Policy::Standard
}

The explicit version is more auditable, more testable, and more robust to future changes in the delegated implementation.


Module Decomposition Guide

Group code by WHAT it operates on, not by architectural layer. Each domain file contains the impl block for that domain's methods on the shared struct.

Wrong: models.rs / services.rs / controllers.rs (layer split). Right: runtime/threads.rs / runtime/logs.rs / runtime/jobs.rs (domain split).

Rules:

  • Tests move WITH their code. Never leave tests behind in the original file.
  • mod.rs contains only re-exports. Target ~30 lines.
  • Each file under 500 lines. If exceeded, it has sub-domains.
  • Named types over loose parameters. 2+ related values always passed together -> struct.
  • No logic changes in extraction commits. Move code as one unit. Verify with cargo test.

Self-Review Checklist

Run this after every refactoring. Every item must pass.

After refactoring, verify:
[ ] Every intermediate state compiles (no big-bang rewrites)
[ ] From bridges exist for any split types
[ ] Tests moved with their code (not left behind)
[ ] No new single-use helper functions introduced
[ ] Removed more code than you added (or justified why not)
[ ] No forwarded parameters remain (each param is used locally)
[ ] Module re-exports are clean (public API in mod.rs)
[ ] Feature flags for stable features removed
[ ] Structs with mutually exclusive options converted to enums
[ ] Build performance measured before/after crate extraction
[ ] Feature flag removal includes function renames and branch deletion
[ ] Chose the right refactoring mode (defensive vs offensive)
[ ] Function logic rewritten, not just rewired through delegation

If any item fails, you are not done. Fix it before declaring the refactoring complete.

© pproenca, MIT. 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 2 other files in skills/.curated/rust-refactor of pproenca/dot-skills.

  • SKILL.md
  • AGENTS.md
  • metadata.json

Open the folder on GitHubat commit cf93c57

Compare with similar skills

Rust Refactor 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.

Rust Refactor compared with similar skills
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Rust Refactor this skillpproenca/dot-skills214—~2.5kAutomated safety check: PassMIT
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Rust Best Practicesfarm-fe/farm5.6k3 repos~1.1kAutomated safety check: PassMIT
RTK Rust Design Patternsrtk-ai/rtk83k—~1.9kAutomated safety check: PassApache-2.0
RTK Rust Code Simplifierrtk-ai/rtk83k—~1.1kAutomated safety check: PassApache-2.0
Rust Hygiene Audittsz-org/tsz572—~1.5kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Rust Refactor

What does Rust Refactor do?

Decision frameworks for Rust refactoring, simplification, module decomposition, and incremental migration. Rust Refactor is an agent skill from pproenca/dot-skills. Decision frameworks for Rust refactoring, simplification, module decomposition, and incremental migration.

When should I use Rust Refactor?

Rust Refactor fits situations like: simplifying Rust code; splitting large files; removing dead abstractions; migrating types incrementally.

How do I install Rust Refactor in Claude Code?

Run `npx skills add pproenca/dot-skills --skill rust-refactor -a claude-code`. Or copy the skill folder (skills/.curated/rust-refactor in pproenca/dot-skills) into .claude/skills/rust-refactor in your project. Claude Code loads it when a task matches its description.

How do I install Rust Refactor in Codex?

Run `npx skills add pproenca/dot-skills --skill rust-refactor -a codex`. Or copy the skill folder (skills/.curated/rust-refactor in pproenca/dot-skills) into .agents/skills/rust-refactor in your project. Codex loads it when a task matches its description.

Can I use Rust Refactor 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 pproenca/dot-skills --skill rust-refactor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rust-refactor, .gemini/skills/rust-refactor, .github/skills/rust-refactor and .opencode/skills/rust-refactor in your project.

What does Rust Refactor need to run?

Going by SKILL.md and its folder, Rust Refactor needs the command-line tools its instructions call (cargo).

Does Rust Refactor 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 Rust Refactor 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 Rust Refactor use?

Rust Refactor is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Rust Refactor use?

About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Rust Refactor?

Skills that share tags, products or a category with Rust Refactor: Migrate Core Code to Submodules (tinyhumansai/openhuman, 41k stars), Rust Best Practices (farm-fe/farm, 5.6k stars), RTK Rust Design Patterns (rtk-ai/rtk, 83k stars) and RTK Rust Code Simplifier (rtk-ai/rtk, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rust Refactor?

pproenca (a GitHub user) maintains it in pproenca/dot-skills, which has 214 GitHub stars. The repository holds 182 skills in this directory. The repository was last updated on August 15, 2026.

Source: pproenca/dot-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.