Claude-skill-registry distributed-processor
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.
git clone https://github.com/majiayu000/claude-skill-registry
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/distributed-processor" ~/.claude/skills/majiayu000-claude-skill-registry-distributed-processor && rm -rf "$T"
skills/data/distributed-processor/SKILL.mdDistributed 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:
-
process-region-a - Process data from Region A
- Forked skill processes in isolation
-
process-region-b - Process data from Region B
- Forked skill processes in isolation
-
process-region-c - Process data from Region C
- Forked skill processes in isolation
-
aggregate-results - Combine all processed outputs
- Wait for all region processors to complete
- Aggregate results into final dataset
Execution Workflow
Execute autonomously:
- Create TaskList with all tasks
- Use Skill tool with context: fork for each region processor
- Monitor task completion
- Aggregate results when all processors complete
- 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