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amazon-alexa

Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB, Polly, Transcribe, Lex, Smart Home).

Quality

63%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/amazon-alexa/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

51%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 is a well-structured, token-efficient overview with exemplary progressive disclosure — a single real, clearly signaled one-level-deep reference. However, it delegates nearly all executable substance to that reference, leaving the body itself without concrete steps, commands, or validation checkpoints, which drags down actionability and workflow clarity.

Suggestions

Inline a minimal quick-start in the body (e.g., the ask-cli commands to create/scaffold a skill and deploy a Lambda handler) so the skill is actionable without loading the full guide.

Add a short numbered workflow with explicit validation checkpoints (build interaction model -> test in ASK simulator -> validate Lambda timeout -> only then deploy) instead of deferring all sequencing to the reference.

Replace the generic 'When you need specialized assistance with this domain' and boilerplate Limitations text with domain-specific triggers and concrete Alexa/AWS limitations to make those tokens earn their place.

DimensionReasoningScore

Conciseness

The ~26-line body is lean with zero concept-explaining padding, but the templated 'When you need specialized assistance with this domain', 'Do Not Use', and 'Limitations' sections are boilerplate tokens that teach Claude nothing domain-specific and could be trimmed. Not anchor 5 ('every token earns its place'), but well above anchor 3's 'noticeably unnecessary explanation'.

4 / 5

Actionability

The body offers no code, commands, or executable steps — its concrete content is limited to 'Read the detailed guide before executing this skill' plus one high-level safety example ('Prototype a read-only ChatIntent... Verify the interaction model and timeout in the ASK simulator before deploying'). This matches anchor 2 ('minimal concrete guidance; high-level hints but missing the specific steps'); not anchor 1 because the example is specific and directive, not purely abstract.

2 / 5

Workflow Clarity

No step sequence is defined for executing the skill; the Example only implies a rough validate-before-deploy order, and all sequencing and validation checkpoints are deferred wholesale to the external guide ('Treat its safety, prerequisites, and validation requirements as mandatory'). Anchor 2 fits ('rough sequence present but many gaps; steps poorly defined'); anchor 3 requires steps actually listed, which they are not — a notable gap for a domain deploying cloud resources and controlling devices.

2 / 5

Progressive Disclosure

The body is a clear, well-organized overview pointing to a single verified one-level-deep reference (references/detailed-guide.md exists and contains no further nested references), with explicit load-conditions ('For focused work, load the relevant sections; for end-to-end work, read the guide completely'). Under 50 lines with clean sections, it fully matches anchor 5 per the simple-skill exception.

5 / 5

Total

13

/

20

Passed

Description

58%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 names a distinct niche and enumerates many concrete AWS services, giving it solid specificity and low-to-moderate conflict risk. Its main weaknesses are the complete absence of any 'when to use this' trigger guidance (capping completeness) and keyword coverage that skews technical rather than natural.

Suggestions

Add an explicit 'Use when...' clause with natural trigger phrases, e.g. 'Use when the user mentions Alexa, Echo devices, building Alexa skills, voice assistants, or smart home voice control.'

Swap some technical jargon for natural synonyms users would actually say ('Echo', 'voice assistant', 'Alexa skill') to improve trigger-term coverage.

DimensionReasoningScore

Specificity

Lists several specific actions and services — 'criar skills de voz inteligentes', 'transformar Alexa em assistente com Claude como cerebro (projeto Auri)', and named AWS services (Lambda, DynamoDB, Polly, Transcribe, Lex, Smart Home). It falls short of anchor 5 because 'Integracao completa' is generic framing without concrete outcomes per service, and well above anchor 3 which covers only 1-2 concrete actions.

4 / 5

Completeness

Has a clear 'what' (build voice skills, turn Alexa into a Claude-backed assistant, integrate AWS services) but contains no 'Use when...' clause or any equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

Some relevant keywords users would say ('Amazon Alexa', 'skills de voz', 'assistente', 'Smart Home'), but the mix leans on technical jargon ('DynamoDB', 'Lex', 'Transcribe', 'projeto Auri') and misses common natural variations like 'Echo', 'voice assistant', or 'Alexa skill development'. Better than anchor 2 (only generic keywords), but not anchor 4's 'good coverage with a few missing'.

3 / 5

Distinctiveness Conflict Risk

The Amazon Alexa voice-skill niche with Claude as backend is a clear specialty, but the broad AWS service list (Lambda, DynamoDB, Lex) creates minor overlap risk with generic AWS or cloud-integration skills. Not anchor 5's 'minimal conflict risk', clearly above anchor 3's 'could still overlap with similar skills'.

4 / 5

Total

14

/

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.

Validation — 15 / 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

sickn33/agentic-awesome-skills

Path

skills/amazon-alexa/SKILL.md

Reviewed

Table of Contents

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