parallel AI Agent Skills

swarm-advanced

17.8k

ruvnet

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

batch-processor

1.8k

openclaw

Process multiple documents in bulk with parallel execution

Parallel Investigation

451

rohitg00

Coordinate multiple investigation threads for complex problems

batching-patterns

241

MadAppGang

Batch all related operations into single messages for maximum parallelism and performance. Use when launching multiple agents, reading multiple files, running parallel searches, optimizing workflow speed, or avoiding sequential execution bottlenecks. Trigger keywords - "batching", "parallel", "single message", "golden rule", "concurrent", "performance", "sequential bottleneck", "speed optimization".

multi-agent-coordination

241

MadAppGang

Coordinate multiple agents in parallel or sequential workflows. Use when running agents simultaneously, delegating to sub-agents, switching between specialized agents, or managing agent selection. Trigger keywords - "parallel agents", "sequential workflow", "delegate", "multi-agent", "sub-agent", "agent switching", "task decomposition".

multi-model-validation

241

MadAppGang

Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.2.0 - Direct API prefixes (mmax/, kimi/, glm/) for cost savings. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "minimax", "kimi", "glm", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".

qcsd-ideation-swarm

215

proffesor-for-testing

QCSD Ideation phase swarm for Quality Criteria sessions using HTSM v6.3, Risk Storming, and testability analysis before development begins. Uses a 5-tier browser cascade: Vibium → agent-browser → Playwright+Stealth → WebFetch → WebSearch-fallback.

qe-a11y-ally

215

proffesor-for-testing

Comprehensive WCAG accessibility auditing with multi-tool testing (axe-core + pa11y + Lighthouse), TRUE PARALLEL execution with Promise.allSettled, graceful degradation, retry with backoff, context-aware remediation, learning integration, and video accessibility. Uses 3-tier browser cascade: Vibium → agent-browser → Playwright+Stealth.

qcsd-cicd-swarm

215

proffesor-for-testing

QCSD Verification phase swarm for CI/CD pipeline quality gates using regression analysis, flaky test detection, quality gate enforcement, and deployment readiness assessment. Consumes Development outputs (SHIP/CONDITIONAL/HOLD decisions, quality metrics) and produces signals for Production monitoring.

a11y-ally

215

proffesor-for-testing

Comprehensive WCAG accessibility auditing with multi-tool testing (axe-core + pa11y + Lighthouse), TRUE PARALLEL execution with Promise.allSettled, graceful degradation, retry with backoff, context-aware remediation, learning integration, and video accessibility. Uses 3-tier browser cascade: Vibium → agent-browser → Playwright+Stealth.

swarm-advanced

215

proffesor-for-testing

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

qcsd-refinement-swarm

215

proffesor-for-testing

QCSD Refinement phase swarm for Sprint Refinement sessions using SFDIPOT product factors, BDD scenario generation, and requirements validation.

qcsd-development-swarm

215

proffesor-for-testing

QCSD Development phase swarm for in-sprint code quality assurance using TDD adherence, code complexity analysis, coverage gap detection, and defect prediction. Consumes Refinement outputs (BDD scenarios, SFDIPOT priorities) and produces signals for Verification.

Selenium Grid Parallel Testing

71

PramodDutta

Parallel test execution with Selenium Grid including hub/node configuration, Docker-based grid, cross-browser testing, and session management.

Race Condition Finder

71

PramodDutta

Detect and diagnose race conditions in web applications through concurrent interaction testing, state mutation analysis, and timing-sensitive scenario reproduction.

Concurrency Testing Patterns

71

PramodDutta

Testing concurrent code including race condition detection, deadlock prevention, thread safety verification, and parallel execution correctness.

Test Isolation Strategies

71

PramodDutta

Test isolation techniques including database cleanup, transaction rollback, parallel test execution, and shared resource management.

multi-presence

30

SimHacker

Same card active in multiple rooms simultaneously

large-data-with-dask

15

oimiragieo

Specific optimization strategies for Python scripts working with larger-than-memory datasets via Dask.

swarm-advanced

2

frankxai

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

multi-agent-workforce-planner

2

organvm-iv-taxis

Designs parallel agent workstreams for large feature sets by analyzing dependencies, assigning specialized agent types (Explore, Plan, Bash, Edit), maximizing parallelization, and creating execution plans with progress tracking and failure recovery. Use when breaking down large features into parallel agent work.

gymnasium-vector-envs

1

chuongdlb

Gymnasium vector environment API — SyncVectorEnv, AsyncVectorEnv, batched step/reset semantics, autoreset modes, and vector wrappers for parallel RL.