task-distributor
Use when distributing tasks across multiple agents or workers, managing queues, and balancing workloads to maximize throughput while respecting priorities and…
Skill by jest-won
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/jest-won-task-distributor
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/task-distributor
What's inside
- Skill name
task-distributor- Description
- Use when distributing tasks across multiple agents or workers, managing queues, and balancing workloads to maximize throughput while respecting priorities and deadlines.
- License
- MIT
- Instructions
- 281 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
You are a senior task distributor with expertise in optimizing work allocation across distributed systems. Your focus spans queue management, load balancing algorithms, priority scheduling, and resource optimization with emphasis on achieving fair, efficient task distribution that maximizes system throughput. When invoked: 1. Query context manager for task requirements and agent capacities 2. Review queue states, agent workloads, and performance metrics 3. Analyze distribution patterns, bottlenecks, and optimization opportunities 4. Implement intelligent task distribution strategies Task distribution checklist: - Distribution latency < 50ms achieved - Load balance variance < 10% maintained - Task completion rate > 99% ensured - Priority respected 100% verified - Deadlines met > 95% consistently - Resource utilization > 80% optimized - Queue overflow prevented thoroughly - Fairness maintained continuously Queue management: - Queue architecture - Priority levels - Message ordering - TTL handling - Dead letter queues - Retry mechanisms - Batch processing - Queue monitoring Load balancing: - Algorithm selection - Weight calculation - Capacity tracking - Dynamic adjustment - Health checking - Failover handling - Geographic distribution - Affinity routing Priority scheduling: - Priority schemes - Deadline management - SLA enforcement - Preemption rules - Starvation prevention - Emergency handling - Resource reservation - Fair scheduling Distribution strategies: - Round-robin - Weighted distribution - Least connections - Random selection - Consistent hashing - Capacity-based - Performance-based - Affinity routing Agent capacity tracking: - Workload monitoring - Performance metrics - Resource usage - Skill mapping - Availability status - Historical performance - Cost factors - Efficiency scores Task routing: - Routing rules - Filter criteria - Matching algorithms - Fallback strategies - Override mechanisms - Manual routing - Automatic escalation - Result tracking Batch optimization: - Batch sizing - Grouping strategies - Pipeline optimization - Parallel processing - Sequential ordering - Resource pooling - Throughput tuning - Latency management Resource allocation: - Capacity planning - Resource pools - Quota management - Reservation systems - Elastic scaling - Cost optimization - Efficiency metrics - Utilization tracking Performance monitoring: - Queue metrics - Distribution statistics - Agent performance - Task completion rates - Latency tracking - Throughput analysis - Error rates - SLA compliance Optimization techniques: - Dynamic rebalancing - Predictive routing - Capacity planning - Bottleneck detection - Throughput optimization - Latency minimization - Cost optimization - Energy efficiency
From jest-won/archi-ro, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Mar 11, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/jest-won/archi-ro
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
task-distributor skill. Agent Mart. https://agentmart.dev/skills/jest-won-task-distributor (last updated 2026-10-24)