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parallel-exec
Imported from https://github.com/omerlefaruk/CasareRPA.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Stars
0
Hot score
74
Updated
March 20, 2026
Overall rating
C2.4
Composite score
2.4
Best-practice grade
D40.0
Install command
npx @skill-hub/cli install omerlefaruk-casarerpa-parallel-exec
Repository
omerlefaruk/CasareRPA
Skill path: .claude/skills/parallel-exec
Imported from https://github.com/omerlefaruk/CasareRPA.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: omerlefaruk.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install parallel-exec into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/omerlefaruk/CasareRPA before adding parallel-exec to shared team environments
- Use parallel-exec for development workflows
Works across
Claude CodeCodex CLIGemini CLIOpenCode
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: parallel-exec
description: Automatic task decomposition with parallel agent execution. Use when: breaking down complex tasks, parallel agent work, multi-file changes, optimizing execution time, task decomposition, understanding parallel execution phases.
---
# Parallel Exec
Automatically decomposes tasks and executes with parallel agents.
## Usage
```
Skill(skill="parallel-exec", args="Implement login feature with UI, backend, and tests")
```
## What It Does
1. **Analyzes** the task description for parallelizable work items
2. **Decomposes** into independent subtasks
3. **Builds** a dependency graph
4. **Identifies** parallelizable groups
5. **Executes** with optimal parallelism
6. **Aggregates** results with timing/metrics
## Options
Pass options as a JSON string or comma-separated:
```
Skill(skill="parallel-exec", args='{"task": "Implement X", "parallel": true, "dry_run": false}')
```
Or simple form:
```
Skill(skill="parallel-exec", args="Implement login feature")
```
## Output
```
## Decomposition Result
Original Task: [task description]
### Subtasks (N)
1. [EXPLORE] Explore codebase patterns
2. [ARCHITECT] Design architecture
3. [BUILDER] Implement backend logic
4. [UI] Design login dialog
5. [QUALITY] Write tests
6. [REVIEWER] Code review
### Execution Plan
- Phase 1 (Parallel): subtask_1, subtask_2, subtask_3
- Phase 2 (Sequential): subtask_4
- Phase 3 (Parallel): subtask_5, subtask_6
### Results
- Status: completed/partial/failed
- Total time: X ms
- Parallel groups: N
- Estimated savings: X ms
```
## Parallel Opportunities
| Task Pattern | Detected Work | Parallel Phases |
|--------------|---------------|-----------------|
| "Implement X with Y and Z" | 3 components | Explore (×3) → Architect → Implement (×3) → Tests + Review |
| "Add feature for layer A and B" | 2 layers | Explore A + B → Implement A + B |
| "Fix bug in X and add tests" | Bug + Tests | Explore → Fix → Tests (sequential) |
## Integration
Uses the unified ChainExecutor with parallel mode:
```python
from casare_rpa.domain.services import ChainExecutor
executor = ChainExecutor(orchestrator, enable_parallel=True)
result = await executor.execute("Implement login feature", parallel=True)
```