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).
65
58%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/amazon-alexa/SKILL.mdQuality
Discovery
82%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 strong in specificity and distinctiveness, listing concrete AWS services and the specific Auri project. It contains excellent trigger terms that users working with Alexa would naturally use. However, it lacks an explicit 'Use when...' clause, which limits its completeness score and could make it harder for Claude to know exactly when to select this skill.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about building Alexa skills, voice assistants, Auri project, or integrating with AWS services like Lambda, DynamoDB, Polly, Transcribe, or Lex.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: creating voice skills, transforming Alexa into an assistant with Claude as brain (Auri project), and integrating with specific AWS services (Lambda, DynamoDB, Polly, Transcribe, Lex, Smart Home). | 3 / 3 |
Completeness | Clearly answers 'what does this do' with specific capabilities, but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The 'when' is only implied by the domain terms mentioned. | 2 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'Alexa', 'skills de voz', 'Lambda', 'DynamoDB', 'Polly', 'Transcribe', 'Lex', 'Smart Home', 'AWS', 'Auri'. Good coverage of relevant terms across the Alexa/AWS ecosystem. | 3 / 3 |
Distinctiveness Conflict Risk | Very distinct niche combining Amazon Alexa voice skills with specific AWS services and the named 'Auri' project. Unlikely to conflict with other skills due to the highly specific domain of Alexa voice skill development. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
35%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is a comprehensive but overly verbose tutorial for building an Alexa skill with Claude integration. Its main strengths are the breadth of coverage (Smart Home, Polly, APL, DynamoDB) and the inclusion of real code examples, but it suffers from incomplete code (truncated handler, undefined functions/constants), excessive inline content that should be in referenced files, and generic boilerplate sections that waste tokens. The phased checklist is useful but lacks validation checkpoints.
Suggestions
Move large JSON blocks (interaction model, APL templates) and full handler code into referenced files, keeping only minimal inline examples in the SKILL.md
Complete the truncated chat_handler code in section 4.1 and define all referenced constants (MAX_HISTORY, CLAUDE_MODEL, AURI_SYSTEM_PROMPT, MAX_RESPONSE_CHARS) or note where they should be configured
Add explicit validation/verification steps within workflows — e.g., after `ask deploy` check logs, after DynamoDB creation verify table status, after Lambda creation test with a sample event
Remove the generic Best Practices, Common Pitfalls, and Limitations sections which provide no Alexa-specific value and waste tokens
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Contains massive JSON/code blocks that could be referenced externally. Generic boilerplate sections (Best Practices, Common Pitfalls, Limitations) are filler that Claude already knows. The 'When to Use' and 'Do Not Use' sections are trivially obvious. Much content reads like a tutorial rather than a concise skill reference. | 1 / 3 |
Actionability | Contains substantial executable code (Python handlers, bash commands, JSON configs) which is good, but several code blocks are incomplete — the main handler in 4.1 is cut off mid-line (`save_persist`), `upload_to_s3` and `control_device` are referenced but never defined, and constants like `MAX_HISTORY`, `CLAUDE_MODEL`, `AURI_SYSTEM_PROMPT`, `MAX_RESPONSE_CHARS` are used but never declared. This makes the code not truly copy-paste ready. | 2 / 3 |
Workflow Clarity | The phased checklist (Phases 1-6) provides a clear sequence for the overall project, and deploy commands are listed. However, there are no validation checkpoints within the multi-step processes — no error handling guidance for failed deploys, no verification steps after DynamoDB creation, and no feedback loops for debugging Lambda timeouts or certification failures. | 2 / 3 |
Progressive Disclosure | Section 12 references external files (assets/boilerplate, references/smart-home-api.md) which is good progressive disclosure. However, the main body is a monolithic wall of content — the entire interaction model JSON, full APL templates, and complete handler code are all inline when they should be in referenced files. The skill tries to be both overview and complete reference simultaneously. | 2 / 3 |
Total | 7 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (667 lines); consider splitting into references/ and linking | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Repository
- sickn33/antigravity-awesome-skills
- Commit
1a9f5ac
- Reviewed
Table of Contents
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