rust-backend▌
windmill-labs/windmill · updated Apr 29, 2026
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Apply these Windmill-specific patterns when writing Rust code in backend/.
Windmill Rust Patterns
Apply these Windmill-specific patterns when writing Rust code in backend/.
Error Handling
Use Error from windmill_common::error. Return Result<T, Error> or JsonResult<T>:
use windmill_common::error::{Error, Result};
pub async fn get_job(db: &DB, id: Uuid) -> Result<Job> {
sqlx::query_as!(Job, "SELECT id, workspace_id FROM v2_job WHERE id = $1", id)
.fetch_optional(db)
.await?
.ok_or_else(|| Error::NotFound("job not found".to_string()))?;
}
Never panic in library code. Reserve .unwrap() for compile-time guarantees.
SQLx Patterns
Never use SELECT * — always list columns explicitly. Critical for backwards compatibility when workers lag behind API version:
// Correct
sqlx::query_as!(Job, "SELECT id, workspace_id, path FROM v2_job WHERE id = $1", id)
// Wrong — breaks when columns are added
sqlx::query_as!(Job, "SELECT * FROM v2_job WHERE id = $1", id)
Use batch operations to avoid N+1:
// Preferred — single query with IN clause
sqlx::query!("SELECT ... WHERE id = ANY($1)", &ids[..]).fetch_all(db).await?
Use transactions for multi-step operations. Parameterize all queries.
JSON Handling
Prefer Box<serde_json::value::RawValue> over serde_json::Value when storing/passing JSON without inspection:
pub struct Job {
pub args: Option<Box<serde_json::value::RawValue>>,
}
Only use serde_json::Value when you need to inspect or modify the JSON.
Serde Optimizations
#[derive(Serialize, Deserialize)]
pub struct Job {
#[serde(skip_serializing_if = "Option::is_none")]
pub parent_job: Option<Uuid>,
#[serde(skip_serializing_if = "Vec::is_empty")]
pub tags: Vec<String>,
#[serde(default)]
pub priority: i32,
}
Async & Concurrency
Never block the async runtime. Use spawn_blocking for CPU-intensive work:
let result = tokio::task::spawn_blocking(move || expensive_computation(&data)).await?;
Mutex selection: Prefer std::sync::Mutex (or parking_lot::Mutex) for data protection. Only use tokio::sync::Mutex when holding locks across .await points.
Use tokio::sync::mpsc (bounded) for channels. Avoid std::thread::sleep in async contexts.
Module Structure & Visibility
- Use
pub(crate)instead ofpubwhen possible - Place new code in the appropriate crate based on functionality
- API endpoints go in
windmill-api/src/organized by domain - Shared functionality goes in
windmill-common/src/
Code Navigation
Always use rust-analyzer LSP for go-to-definition, find-references, and type info. Do not guess at module paths.
Axum Handlers
Destructure extractors directly in function signatures:
async fn process_job(
Extension(db): Extension<DB>,
Path((workspace, job_id)): Path<(String, Uuid)>,
Query(pagination): Query<Pagination>,
) -> Result<Json<Job>> { ... }
How to use rust-backend on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add rust-backend
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches rust-backend from GitHub repository windmill-labs/windmill and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate rust-backend. Access the skill through slash commands (e.g., /rust-backend) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★57 reviews- ★★★★★Pratham Ware· Dec 28, 2024
We added rust-backend from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Tariq Kim· Dec 20, 2024
We added rust-backend from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kofi Brown· Dec 16, 2024
rust-backend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Li Thomas· Dec 16, 2024
Solid pick for teams standardizing on skills: rust-backend is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Nov 19, 2024
rust-backend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Tariq White· Nov 11, 2024
rust-backend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Nia Gupta· Nov 7, 2024
We added rust-backend from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kaira Khan· Nov 7, 2024
Registry listing for rust-backend matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Evelyn Li· Oct 26, 2024
Solid pick for teams standardizing on skills: rust-backend is focused, and the summary matches what you get after install.
- ★★★★★Kaira Singh· Oct 26, 2024
rust-backend fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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