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quintet-fleet-dispatch

Run one-shot multi-AI fleet dispatch with quintet — fan a single prompt to several coding-agent CLIs (claude/codex/agy/copilot/qwen/opencode) in parallel, run a two-round cross-model debate, or get a multi-model code review, with circuit-breaker and fallback reliability. Use proactively when fanning a prompt out to several models, when running an AI debate, when seeking consensus, or for reviewing a diff across models. Trigger on "quintet fleet", "AI debate", "run a debate between models", "consult the models", "get consensus from the models", "multi-model review", "what do all the models think". Not for parallel file-editing work — use quintet-team-runtime.

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

81%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A highly actionable body with a fully specified dispatch workflow, explicit validation checkpoints (doctor-first, zero-ready abort), and strong error-recovery guidance. Its weaknesses are redundancy — the fleet-vs-team boundary and empty-pool recovery are each stated three or more times — and an imperfect body/reference split, with reliability detail inlined despite a reference file existing for it.

Suggestions

Consolidate the repeated fleet-vs-team boundary into one section: 'When to use' already covers it, so fold 'When NOT to use fleet' and the FAQ's 'Does fleet edit files?' into that section and drop the duplicates.

State empty-pool recovery once — either in 'Before you dispatch' or the troubleshooting table — and keep the breaker cooldown-clear `rm -f` command in one place instead of two.

Move the reliability tuning recipes and per-mode mechanics detail into references/modes-and-reliability.md and keep only the env-var table inline, letting the 'When to load the references' section point to them.

DimensionReasoningScore

Conciseness

Mostly efficient — no explanations of concepts Claude already knows, and tables keep env-var and troubleshooting info dense — but the ~250-line body restates the same facts multiple times: "fleet never edits files" appears in When to use, When NOT to use, and the FAQ; empty-pool recovery appears in "Before you dispatch", the troubleshooting table, and the reference file; the breaker cooldown-clear `rm -f` command appears twice. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened' better than 'minor instances of over-explanation' (4).

3 / 5

Actionability

Fully executable throughout: a copy-paste BIN resolution block with fallbacks, concrete consult/debate/review invocations with real prompts and provider lists, `quintet doctor`, `tmux attach -t quintet-fleet-...`, `--json` output with a real example payload, flag variations (--no-tmux, --no-mcp, --model, --effort, --safe), and env vars with defaults. Specific examples cover the common cases, matching anchor 5.

5 / 5

Workflow Clarity

The workflow is explicitly sequenced with validation checkpoints and feedback loops: check the pool (`doctor`) before dispatch, "If zero providers are ready… tell the user which CLIs need authenticating… and stop, rather than reporting an empty result as success", a numbered 4-step worked example, a numbered synthesis procedure, and a symptom/cause/fix troubleshooting table for error recovery. This matches 'clear sequence with explicit validation steps; feedback loops for error recovery'.

5 / 5

Progressive Disclosure

Both bundle files are real and one level deep (verified: references/modes-and-reliability.md and assets/debate-output-example.txt exist and contain no nested references), and the "When to load the references" section signals load conditions excellently, including a do-not-load case. However, content is not cleanly split: the body inlines a large troubleshooting table, env-var table, and tuning recipes that overlap the reliability reference, and "When NOT to use fleet" and empty-pool guidance are duplicated between body and reference — 'minor organization gaps' (4) rather than 'content appropriately split' (5).

4 / 5

Total

17

/

20

Passed

Description

96%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exemplary description: concrete capability list covering all three modes, explicit proactive-use guidance, seven natural trigger phrases, and an explicit negative boundary against a sibling skill. The only weakness is mild trigger overlap risk with closely related skills in the same plugin suite (the orchestration router).

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — "fan a single prompt to several coding-agent CLIs (claude/codex/agy/copilot/qwen/opencode) in parallel", "run a two-round cross-model debate", "get a multi-model code review" — comprehensively covering all three modes the skill supports, in third-person imperative voice. It matches the anchor 'lists multiple specific concrete actions; comprehensive coverage' and is not merely 'several actions with minor gaps' (4).

5 / 5

Completeness

Explicitly answers both what ("Run one-shot multi-AI fleet dispatch with quintet — fan a single prompt…, run a two-round cross-model debate, or get a multi-model code review") and when ("Use proactively when fanning a prompt out to several models… Trigger on …") with concrete trigger phrases. This is the anchor-5 pattern; the 'when' is explicit, not 'could be more specific' (4).

5 / 5

Trigger Term Quality

Trigger coverage is comprehensive and natural: "quintet fleet", "AI debate", "run a debate between models", "consult the models", "get consensus from the models", "multi-model review", "what do all the models think" — including colloquial phrasings a user would actually say. It exceeds 'good coverage, a few natural terms missing' (4).

5 / 5

Distinctiveness Conflict Risk

The tool-specific name and the explicit boundary ("Not for parallel file-editing work — use quintet-team-runtime") give it a clear niche, but generic triggers like "consult the models" or "multi-model review" could plausibly compete with sibling router/orchestration skills in the same suite ("quintet-orchestration" is described as the router that picks fleet vs team). It fits 'mostly distinct; minor overlap risk with closely related skills' better than 'minimal conflict risk' (5).

4 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

salemaziel/omc-octo-quintet

Path

skills/quintet-fleet-dispatch/SKILL.md

Reviewed

Table of Contents

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