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Distributed Processor

ASecurity

Coordinate distributed processing with parallel execution, forked skills, and isolated work units. Use when you need distributed processing or isolated work units. Not for sequential tasks or single-threaded workflows.

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  • Added February 8, 2026
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Security analysis

A100/100

Scanned February 12, 2026

npx -y skills add majiayu000/claude-skill-registry --skill distributed-processor --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: distributed-processor
description: "Coordinate distributed processing with parallel execution, forked skills, and isolated work units. Use when you need distributed processing or isolated work units. Not for sequential tasks or single-threaded workflows."
context: fork
---

# Distributed Data Processing

Coordinate distributed data processing using TaskList with forked skills.

## Processing Architecture

**Three-component system:**

- **Coordinator** uses TaskList to track all processing tasks
- **Region processors** are forked skills with complete isolation
- **Results flow back** to coordinator for aggregation

## Processing Tasks

**Parallel, independent execution:**

1. **process-region-a** - Process data from Region A
   - Forked skill processes in isolation

2. **process-region-b** - Process data from Region B
   - Forked skill processes in isolation

3. **process-region-c** - Process data from Region C
   - Forked skill processes in isolation

4. **aggregate-results** - Combine all processed outputs
   - Wait for all region processors to complete
   - Aggregate results into final dataset

## Execution Workflow

**Execute autonomously:**

1. **Create TaskList** with all tasks
2. **Use Skill tool** with context: fork for each region processor
3. **Monitor task completion**
4. **Aggregate results** when all processors complete
5. **Return aggregated dataset**

**Recognition test:** Each region processor runs in complete isolation with no shared state.

## Expected Output

```
Distributed Processing: COORDINATING
[task-id] process-region-a: IN_PROGRESS -> COMPLETE
[task-id] process-region-b: IN_PROGRESS -> COMPLETE
[task-id] process-region-c: IN_PROGRESS -> COMPLETE
[task-id] aggregate-results: BLOCKED -> IN_PROGRESS -> COMPLETE

=== AGGREGATED RESULTS ===
Region A: [records processed, summary]
Region B: [records processed, summary]
Region C: [records processed, summary]

Total: [combined statistics]
```

## Validation Criteria

- Parallel execution of regions
- Results aggregation after completion

**Binary check:** "Proper distributed processing?" → Both criteria must pass.

---

<critical_constraint>
MANDATORY: Wait for all processors to complete before aggregation
MANDATORY: Use TaskList to track all distributed tasks
MANDATORY: Ensure forked skills have complete isolation
No exceptions. Parallel execution requires proper coordination.
</critical_constraint>

---

## Genetic Code

This component carries essential Seed System principles for context: fork isolation:

<critical_constraint>
MANDATORY: All components MUST be self-contained (zero .claude/rules dependency)
MANDATORY: Achieve 80-95% autonomy (0-5 AskUserQuestion rounds per session)
MANDATORY: Description MUST use What-When-Not format in third person
MANDATORY: No component references another component by name in description
MANDATORY: Progressive disclosure - references/ for detailed content
MANDATORY: Use XML for control (mission_control, critical_constraint), Markdown for data
No exceptions. Portability invariant must be maintained.
</critical_constraint>

**Delta Standard**: Good Component = Expert Knowledge − What Claude Already Knows

**Recognition Questions**:

- "Would Claude know this without being told?" → Delete (zero delta)
- "Can this work standalone?" → Fix if no (non-self-sufficient)
- "Did I read the actual file, or just see it in grep?" → Verify before claiming

---

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