flow-nexus-swarm

Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform

2.82x

Quality

59%

Does it follow best practices?

Impact

82%

2.82x

Average score across 3 eval scenarios

Securityby

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./.claude/skills/flow-nexus-swarm/SKILL.md

Quality

Content

65%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.

The content is highly actionable with comprehensive executable MCP examples and decent structural organization, but it is a long monolithic document that inlines reference material better split into separate files and lacks explicit validation checkpoints across its batch/deployment workflows.

Suggestions

Split the bulk reference material (full template catalog, pattern library, complete API listing) into files under references/ and keep SKILL.md as a concise overview with one-level-deep links.

Add explicit validation/verification checkpoints to the batch and deployment patterns (e.g., validate after build, verify ETL load with row counts, gate production deploy on smoke-test pass).

Trim redundancy — the Best Practices topology examples, re-demonstrated basic calls in patterns, and the Common Use Cases bullet list repeat content already shown earlier.

Dimension	Reasoning	Score
Conciseness	The body is mostly actionable reference code rather than conceptual fluff, but at ~600 lines it has notable redundancy (Best Practices re-demonstrates swarm_init per topology, orchestration patterns re-demo basic calls, Common Use Cases restates earlier material), so it could be tightened.	3 / 5
Actionability	It provides extensive concrete, executable MCP tool calls with documented parameters and inline option listings, and the pattern examples cover the common cases (swarm init, agent spawn, task orchestration, workflow create/execute, templates), matching the fully-executable score-5 anchor.	5 / 5
Workflow Clarity	Multi-step patterns use clear numbered sequences and the CI/CD pattern gates deploy_prod behind smoke_test with auto_rollback, but the batch/destructive patterns (Full-Stack build, ETL load) lack explicit validate-then-proceed checkpoints, so per the feedback-loop cap workflow clarity stays at 3.	3 / 5
Progressive Disclosure	The body has good structure (table of contents, clear section hierarchy, logical grouping), but it is a ~600-line monolith that inlines the API reference, template catalog, and pattern library which belong in separate files, and no bundle/reference files exist to defer to.	3 / 5
	Total	14 / 20 Passed

Description

53%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.

The description clearly states what the skill does and ties it to a specific platform/niche, giving it reasonable distinctiveness, but it lacks any "Use when…" trigger guidance and leans on buzzwordy actions. This results in mid-range scores across specificity, triggers, and completeness.

Suggestions

Add an explicit "Use when…" clause naming concrete trigger phrases (e.g., "Use when deploying cloud AI agent swarms, automating event-driven workflows, or processing message-queue tasks via Flow Nexus").

Replace generic verbs with more specific concrete actions (e.g., "Initialize swarms, spawn and assign agents, and orchestrate event-driven workflows with dependencies and retries").

Include natural synonyms users might say ("agent swarms", "workflow orchestration", "message-queue processing") to improve trigger-term coverage.

Dimension	Reasoning	Score
Specificity	The description names the domain and a couple of concrete actions ("AI swarm deployment", "event-driven workflow automation"), but the actions are buzzwordy and not comprehensive, matching the score-3 anchor rather than the more complete score-4.	3 / 5
Completeness	It gives a clear "what" (cloud-based AI swarm deployment and workflow automation) but contains no "when"/"Use when…" trigger guidance, so per the judging guidelines completeness is capped at 3.	3 / 5
Trigger Term Quality	It includes relevant keywords (swarm, workflow, automation, cloud, agents) but they lean technical/jargon-heavy and miss common variations or synonyms a user would naturally say, fitting the score-3 anchor.	3 / 5
Distinctiveness Conflict Risk	Naming a specific platform (Flow Nexus) and the AI-swarm niche makes it mostly distinct with only minor overlap risk from the broad "workflow automation" phrasing, landing above the score-3 anchor but below the fully-triggered score-5.	4 / 5
	Total	13 / 20 Passed

Validation

87%

Warnings & errors only

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

Validation — 14 / 16 Passed

Validation for skill structure

Criteria	Description	Result
skill_md_line_count	SKILL.md is long (629 lines); consider splitting into references/ and linking	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	14 / 16 Passed

Repository: ruvnet/RuVector
Path: .claude/skills/flow-nexus-swarm/SKILL.md
Commit: 14db7a3

Reviewed: 3 days ago

Table of Contents

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