Dispatching Parallel Agents

The purpose is clear: dispatch one specialized agent per independent problem domain to reduce serial investigation time when tasks have no shared state or sequential dependency. The skill defines use cases, non-use cases, scope, and expected outputs, giving it practical value for coding-agent users. Evidence gaps include no quantified benefit and no guidance on agent-count limits, concurrency capacity, or more granular boundaries for when parallelization is inappropriate.

The workflow covers identifying independent domains, creating self-contained prompts, dispatching concurrently, reviewing results, checking conflicts, and running the full test suite. These steps support some consistency and reproducibility. Evidence gaps are the absence of executable tests for this skill, retry or timeout handling, and detailed runtime assumptions; the successful example cannot be independently verified during static review.

The skill requires isolated context, constrained scope, avoidance of unrelated edits, and post-dispatch review plus full-suite verification. These controls reduce context leakage and unconstrained changes. However, it does not specify agent permissions, limits on file writes, command execution, network access, or sensitive-data flows, and it lacks consent, cancellation, rollback, resource quotas, and recovery procedures for concurrent conflicts. No malware, credential theft, covert exfiltration, or destructive default sufficient for a red-line finding was identified.

The decision graph, concrete prompt template, anti-patterns, and verification checklist provide traceable documentation for the proposed method. However, the “Real Example from Session” and “Real-World Impact” sections provide only narrative claims, with no logs, test artifacts, commits, or independent corroboration. Facts, experiential inferences, and measurable outcomes are not clearly separated, so evidence strength is limited.

The use and non-use sections help users determine applicability, and the prompt structure clearly specifies scope, goal, constraints, and output. The integration section also supplies final checks. Evidence gaps include no platform-compatibility guidance, concurrency-cost information, failure diagnostics, standard output for cancellation or partial completion, or concrete handling for insufficient resources, agent conflicts, or uncertain independence.

The repository supplies an MIT license, a fixed assessment revision, and repository context identifies package version 6.1.1; these are mostly repository-level rather than skill-specific maintenance signals. Publisher identity is unverified, and the skill has no version, changelog, maintainer, release responsibility, or explicit update-response path. Maintenance and governance support are therefore limited.