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Deprecated as of 2026-06-09. Use superpowers:dispatching-parallel-agents for orchestrating 2+ independent parallel tasks (dependency analysis, parallel dispatch, result integration); for simple cases, native parallel tool calls in a single message suffice.
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基于 SOC 职业分类
Use when evaluating AI tools and agentic workflows against workflow gaps, when conducting quarterly landscape scans, or when assessing integration feasibility of new tools for startup workflows. NOT for general research-direction strategy (use strategist) or scoping a specific feature's requirements (use requirements-analyst).
Use when implementing data analysis pipelines, statistical tests, or bioinformatics workflows in code (Python/R), particularly for genomics, transcriptomics, proteomics, or other -omics data. NOT for non-omics Python implementation (use senior-developer), pure statistical method selection without bioinformatics context (use statistician), or biological-validity questions about an existing analysis (use biologist-commentator).
Use when orchestrating multi-perspective brainstorming sessions requiring parallel agent execution, confidence-weighted synthesis, and optional workflow handoff. Coordinates 5 parallel perspective agents through a 4-stage pipeline (framing, diverging, converging, output).
Use when user needs to simulate fluid flow through bioprocess cartridges, bioreactor geometries, or membrane devices using FEniCSx. Covers Navier-Stokes flow, O2 species transport with Michaelis-Menten kinetics, membrane permeation, mesh generation from CAD geometry, and interactive 3D visualization.
Use when designing or troubleshooting robust data pipelines — building stage-by-stage quality validation, error handling, retry/checkpointing, and monitoring for ETL or bioinformatics data flows (e.g., FASTQ→BAM→counts). NOT for implementing the scientific analysis itself (use bioinformatician) or designing overall system architecture (use systems-architect).
Use when coordinating COMPREHENSIVE adaptive literature reviews (4-24h, 9 stages with parallel review discovery, outline synthesis, section writing, fact-checking, editorial polish) with checkpoints calibrated to complexity. Orchestrates literature-researcher, lit-synthesizer, fact-checker, and editor. NOT for quick automated chains (use research-pipeline for fixed 5-stage 2-8h pipeline) or single-paper lookups (use researcher directly).
| name | parallel-coordinator |
| last_updated | "2026-06-09T00:00:00.000Z" |
| description | Deprecated as of 2026-06-09. Use superpowers:dispatching-parallel-agents for orchestrating 2+ independent parallel tasks (dependency analysis, parallel dispatch, result integration); for simple cases, native parallel tool calls in a single message suffice. |
| deprecated | true |
| deprecated_date | "2026-06-09T00:00:00.000Z" |
| replaced_by | superpowers:dispatching-parallel-agents |
This skill was deprecated on 2026-06-09 as a duplicate of superpowers:dispatching-parallel-agents. That skill covers the same ground: identifying independent tasks, performing dependency analysis, dispatching them in parallel, and integrating the results.
| Need | Use |
|---|---|
| Orchestrate 2+ independent tasks with dependency analysis and result integration | superpowers:dispatching-parallel-agents |
| Fire a few independent operations at once (file reads, searches, API calls) | Native parallel tool calls in a single message — no skill needed |
superpowers:dispatching-parallel-agents, which already covers task decomposition, dependency verification, parallel dispatch, and synthesis.