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octopus-architecture

System architecture and API design with multi-AI consensus — use for design reviews and new subsystems

57

Quality

66%

Does it follow best practices?

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SecuritybySnyk

Passed

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tessl review fix ./.claude/skills/skill-architecture/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

62%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 body delivers an explicitly sequenced, validation-gated workflow with executable orchestration commands, which is its main strength. It loses points to repetitive enforcement padding, a pseudocode LSP example, and inlined content that could be referenced out.

Suggestions

Collapse the repeated MANDATORY/PROHIBITED/DO-NOT-PROCEED warnings into a single concise enforcement note; remove the duplicated agy_status assignment and duplicate Antigravity banner line.

Replace the LSP pseudocode with concrete, runnable invocations or move the LSP guidance into a separate reference file linked from SKILL.md.

Move the capabilities list and example prompts into a referenced file (e.g. references/usage.md) so SKILL.md stays a lean overview.

DimensionReasoningScore

Conciseness

Mostly functional with concrete commands, but padded with repeated enforcement injunctions ('MANDATORY', 'PROHIBITED from', 'This is NOT optional', 'DO NOT PROCEED') and duplicate lines (agy_status defined twice, Antigravity listed twice in the banner) that could be trimmed.

3 / 5

Actionability

Provides concrete executable bash commands with real paths and flags (orchestrate.sh spawn, check-providers.sh), but the LSP section uses illustrative pseudocode and a '// ... architecture design ...' placeholder rather than fully executable code.

4 / 5

Workflow Clarity

Four steps are explicitly sequenced with a blocking validation gate (Step 3 checks exit code) and an error-recovery loop (report, show logs, do not substitute with direct design), satisfying the validation/feedback-loop requirement.

5 / 5

Progressive Disclosure

Single-file skill with reasonable section headers and a one-level-deep persona reference (agents/personas/backend-architect.md), but the LSP integration content is inlined rather than split out and no bundle files exist to offload detail.

3 / 5

Total

15

/

20

Passed

Description

70%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 is concise and answers both what and when with a fairly distinct multi-AI-consensus niche. It is held back by generic actions and trigger phrasing that could be more concrete and comprehensive.

Suggestions

Replace abstract domain naming with concrete verbs, e.g. 'Designs API contracts, microservices decompositions, and event-driven architectures with multi-AI consensus'.

Expand the 'when' clause with natural trigger variations: 'Use when the user asks to design, review, or plan a new subsystem, API, or distributed system'.

Add file/term anchors users actually say (e.g. 'REST API', 'schema design', 'scalability plan') to broaden trigger coverage.

DimensionReasoningScore

Specificity

Names the domain ('System architecture and API design', 'multi-AI consensus') but the actual actions are minimal and generic — it never says what it does (designs, reviews, generates) beyond naming the area.

3 / 5

Completeness

Provides both a 'what' ('System architecture and API design with multi-AI consensus') and an explicit 'when' ('use for design reviews and new subsystems'), though the trigger clause could be more specific.

4 / 5

Trigger Term Quality

'design reviews' and 'new subsystems' are natural phrases a user would say when they need this skill, giving good keyword coverage with only minor synonyms missing.

4 / 5

Distinctiveness Conflict Risk

'multi-AI consensus' is a distinct niche and the design-review/new-subsystem triggers are specific enough to minimize overlap with generic architecture skills, with only minor overlap risk.

4 / 5

Total

15

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
nyldn/claude-octopus
Reviewed

Table of Contents

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