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Rust Plan
ASecurityRust planning workflow that queries the rust-librarian knowledge base before code generation. Injects idiomatic patterns, known error pitfalls, and API references into the planning context. Feeds into the SDLC plan-execute-verify flow with an optional compile-fix loop.
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- Added September 20, 2026
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[](https://www.skillsdirectory.com/skills/lev-os-rust-plan)---
name: workflow-rust-plan
description: |
Rust planning workflow that queries the rust-librarian knowledge base before code generation.
Injects idiomatic patterns, known error pitfalls, and API references into the planning context.
Feeds into the SDLC plan-execute-verify flow with an optional compile-fix loop.
disable-model-invocation: true
context: fork
agent: general-purpose
allowed-tools: Read, Write, Edit, Bash, Glob, Grep, Task
tags: rust, workflow, planning, sdlc, patterns, codegen
---
# Workflow: Rust Plan
A **5-step planning workflow** for Rust development tasks. Queries the `rust-librarian`
knowledge base to enrich plans with idiomatic patterns, then optionally feeds into the
SDLC plan-execute-verify loop.
## When to Use
- Before implementing any non-trivial Rust feature
- When writing Rust code involving ownership, lifetimes, async, or unsafe
- When planning a new Rust crate or module
- When you want compile-fix loop guardrails on generated Rust code
## Config
```yaml
# --- Required ---
task: <string> # What needs to be built
# --- Optional ---
crate_context: <string> # Path to existing crate (reads Cargo.toml, src/)
target_crate: <string> # Which crate to modify (for workspace projects)
compile_fix: <bool> # Enable compile-fix loop (default: false)
max_fix_attempts: <int> # Max compile-fix iterations (default: 3)
patterns_limit: <int> # Max pattern results to inject (default: 5)
error_limit: <int> # Max error examples to inject (default: 3)
skip_search: <bool> # Skip knowledge base search (default: false)
plan_only: <bool> # Stop after plan (default: false)
```
## Steps
### Step 1: Context Gathering
Understand what exists and what is needed.
```
1. Read task description
2. If crate_context provided:
- Read Cargo.toml (deps, features, edition)
- Read src/lib.rs or src/main.rs (public API surface)
- Identify existing patterns (error handling, async, serde)
3. Extract key Rust concepts:
- Ownership/borrowing implications
- Concurrency model (sync, async, threads)
- Error handling strategy (Result, anyhow, thiserror)
- Trait requirements
- Unsafe needs
```
### Step 2: Knowledge Base Query
Search `rust-librarian` for relevant patterns and pitfalls.
```
1. Query project-rust-patterns:
- Search patterns matching task domain
- "HTTP server" -> "async HTTP handler pattern"
- "CLI" -> "clap derive pattern"
2. Query project-rust-books-guides:
- Search relevant Rust Book chapters
- References -> "borrowing and lifetimes"
- Enums -> "pattern matching enum"
3. Query project-rust-error-examples:
- Search common errors in task domain
- Async -> "error[E0277] Future is not Send"
- Borrowing -> "error[E0502] cannot borrow as mutable"
4. Collect top results (patterns_limit + error_limit)
5. Format as planning context block
```
**Search execution** (calls rust-librarian API or CLI):
```bash
# If search API running:
curl -s -X POST http://localhost:8000/search \
-H "Content-Type: application/json" \
-d '{"query":"<concepts>","projects":["rust-knowledge"],"framework":"rust","limit":5}'
# If using skill directly:
/rust-librarian search "<concepts>"
```
### Step 3: Plan Generation
Generate a Rust-aware implementation plan.
```
Synthesize into plan with sections:
## Approach
- Strategy and which patterns apply
## Crate Structure
- Files to create/modify
- Module organization, public API
## Dependencies
- Required crates + versions + feature flags
## Implementation Notes
- Ownership/lifetime considerations
- Error handling approach
- Concurrency model
- Known pitfalls to avoid (from error search)
## Validation
- cargo check, cargo clippy -- -D warnings
- cargo test strategy
```
If `plan_only=true` -> STOP here, return plan.
### Step 4: Execute
Implement the plan. Optionally use compile-fix loop.
```
1. Write code following plan
2. Run validation:
- cargo check
- cargo clippy -- -D warnings
- cargo test
3. If compile_fix=true and check fails:
a. Parse errors via: cargo check --message-format=json
b. Extract error[E####] codes
c. Query rust-librarian for each error code
d. Apply fixes informed by knowledge base
e. Retry up to max_fix_attempts
```
**Structured error parsing** (better than RustCoder's stderr scraping):
```bash
cargo check --message-format=json 2>&1 | \
python3 -c "
import sys, json
for line in sys.stdin:
try:
msg = json.loads(line)
if msg.get('reason') == 'compiler-message':
code = msg['message'].get('code')
if code: print(f'ERROR: {code[\"code\"]}')
print(msg['message'].get('rendered',''))
except: pass
"
```
### Step 5: Verify & Report
Validate and report results.
```
1. Full validation:
- cargo check
- cargo clippy -- -D warnings
- cargo test
- cargo doc --no-deps (if public API)
2. Report:
- Files created/modified
- Patterns applied (with source attribution)
- Pitfalls avoided (error code references)
- Test results
3. SDLC integration:
- Update BD issue with evidence
- Link to spec if exists
```
## SDLC Mapping
Maps to plan-execute-verify flow stages:
| Workflow Step | SDLC Stage |
|--------------|------------|
| Steps 1-3 | PROPOSE (context + search + plan) |
| Plan review | GATE (human or automated) |
| Step 4 | EXECUTE (implementation + compile-fix) |
| Step 5 | VERIFY (validation + report) |
## Examples
```bash
# Plan a feature with knowledge enrichment
/workflow rust-plan task="Implement concurrent rate limiter with token bucket"
# Plan with existing crate context
/workflow rust-plan task="Add WebSocket support" crate_context="crates/lev-gateway"
# Plan + execute with compile-fix
/workflow rust-plan task="Create CLI parser" compile_fix=true max_fix_attempts=5
# Plan only
/workflow rust-plan task="Design error handling for lev-reactive" plan_only=true
```
## Related
- `rust-librarian` -- Knowledge base skill (search + ingestion)
- `plugins/core-sdlc/` -- SDLC plan-execute-verify flow
- `core/flowmind/` -- FlowMind execution engine
- `os/agent/performance-engine/` -- Go docs system (architecture reference)
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