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).
52
58%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/antigravity-awesome-skills-claude/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.
This is a strong description with excellent specificity and distinctiveness, listing concrete actions and specific AWS services. The main weakness is the absence of an explicit 'Use when...' clause that would help Claude know exactly when to select this skill. The description is written in third-person-compatible style (no first or second person), which is appropriate.
Suggestions
Add an explicit 'Use when...' clause, e.g., 'Use when the user asks about Alexa skills, voice assistants, Auri project, or AWS voice/smart home integrations.'
| 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, which per the rubric caps completeness at 2. | 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'. These cover the domain well and match what users would naturally mention. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: Amazon Alexa voice skill development with Claude integration (Auri project) and specific AWS services. Unlikely to conflict with other skills due to the very specific domain. | 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 attempts comprehensive coverage of Alexa + Claude integration but suffers from excessive verbosity, incomplete code examples (truncated handler, undefined constants), and a monolithic structure that dumps everything inline. The generic 'Best Practices,' 'Common Pitfalls,' and 'Limitations' sections are boilerplate filler that add no value. The phased checklist is a strength but lacks validation checkpoints.
Suggestions
Complete the truncated handler code in section 4.1 and define all referenced constants (CLAUDE_MODEL, MAX_HISTORY, MAX_RESPONSE_CHARS, AURI_SYSTEM_PROMPT, sb) so the code is actually executable.
Move the large JSON schemas (interaction model, APL template, Smart Home discovery response) into the referenced bundle files and keep only minimal examples inline to reduce the SKILL.md to a navigable overview.
Remove the generic 'Best Practices,' 'Common Pitfalls,' and 'Limitations' sections — they contain no Alexa-specific guidance and waste tokens on advice Claude already knows.
Add explicit validation/verification steps to the workflow phases, e.g., 'After deploy, run ask simulate to verify the skill responds; if timeout errors occur, check Lambda timeout setting and Claude API latency.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is extremely verbose at ~400+ lines, with significant redundancy. It explains basic concepts Claude already knows (what ASR is, what DynamoDB does, what SSML is), includes full boilerplate JSON schemas, and has generic filler sections like 'Best Practices' and 'Common Pitfalls' that are completely generic and add no domain-specific value. | 1 / 3 |
Actionability | The skill provides many concrete code examples and CLI commands, but several are incomplete (e.g., the main handler in section 4.1 is cut off mid-line at 'save_persist'), missing key constants (CLAUDE_MODEL, MAX_HISTORY, MAX_RESPONSE_CHARS, AURI_SYSTEM_PROMPT are referenced but never defined), and helper functions like upload_to_s3() and control_device() are called but never implemented. The code is not truly copy-paste ready. | 2 / 3 |
Workflow Clarity | The phased checklist in sections 10 (Fase 1-6) provides a reasonable high-level sequence, and deploy commands are listed. However, there are no validation checkpoints or error recovery steps within the workflows — no 'if deploy fails, check X' guidance, no verification that Lambda is correctly connected, and the main handler code is truncated so the error handling flow is incomplete. | 2 / 3 |
Progressive Disclosure | Section 12 references external files (assets/boilerplate/, assets/interaction-models/, etc.) which is good progressive disclosure structure, but no bundle files are provided so these references are unverifiable. The main SKILL.md itself is monolithic — all the detailed JSON schemas, full APL templates, and Smart Home handler code are inline rather than being split into referenced files, making the document very long. | 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
22710e9
- Reviewed
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