gamma-deploy-integration
Deploy Gamma-integrated applications to production environments. Use when deploying to Vercel, AWS, GCP, or other cloud platforms with proper secret management and configuration. Trigger with phrases like "gamma deploy", "gamma production", "gamma vercel", "gamma AWS", "gamma cloud deployment".
74
70%
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 ./plugins/saas-packs/gamma-pack/skills/gamma-deploy-integration/SKILL.mdQuality
Discovery
89%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 solid skill description with excellent trigger term coverage and completeness, featuring both a 'Use when' clause and explicit trigger phrases. Its main weakness is that the specific capabilities beyond 'deploy' are somewhat vague—it mentions 'proper secret management and configuration' but doesn't enumerate concrete actions like setting up CI/CD pipelines, configuring environment variables, or managing rollbacks.
Suggestions
Add 2-3 more specific concrete actions beyond 'deploy', such as 'configure environment variables, set up CI/CD pipelines, manage deployment rollbacks' to improve specificity.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (deployment of Gamma-integrated applications) and mentions cloud platforms (Vercel, AWS, GCP) and secret management, but doesn't list specific concrete actions beyond the general 'deploy'. It lacks detail on what specific deployment steps or capabilities are provided (e.g., build, configure DNS, set environment variables, rollback). | 2 / 3 |
Completeness | Clearly answers both 'what' (deploy Gamma-integrated applications to production with secret management and configuration) and 'when' (explicit 'Use when' clause with platform triggers and a 'Trigger with phrases' section). Both components are explicitly stated. | 3 / 3 |
Trigger Term Quality | Includes a good range of natural trigger terms: 'gamma deploy', 'gamma production', 'gamma vercel', 'gamma AWS', 'gamma cloud deployment', plus mentions of specific platforms (Vercel, AWS, GCP). These are terms users would naturally say when needing this skill. | 3 / 3 |
Distinctiveness Conflict Risk | The 'Gamma-integrated' qualifier combined with specific deployment platform names creates a clear niche. The 'gamma' prefix on all trigger phrases makes it highly unlikely to conflict with generic deployment skills or other framework-specific deployment skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides broad coverage of deploying to multiple cloud platforms with concrete code examples, but suffers from several inaccuracies in comments (wrong units, wrong language syntax), lack of validation/verification steps for production deployments, and a monolithic structure that would benefit from splitting platform-specific guides into separate files. The content is functional but needs refinement for production-grade reliability.
Suggestions
Add explicit validation/verification steps after each deployment (e.g., `vercel inspect`, `aws lambda invoke --function-name ... --payload ...`, `gcloud run services describe`) and include rollback instructions for failed deployments.
Fix inaccurate inline comments: remove the Python-style `# HTTP 200 OK` comment from TypeScript code, correct '256 bytes' to '256 MB' for MemorySize, and remove noise comments on AWS template version strings.
Split platform-specific deployment guides into separate files (e.g., `deploy-vercel.md`, `deploy-aws.md`, `deploy-gcp.md`) and make SKILL.md a concise overview with links to each.
Replace placeholder values like 'your-gamma-api-key' with clearer substitution markers (e.g., `<YOUR_GAMMA_API_KEY>`) and add a note about never committing secrets to source control.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is reasonably efficient but includes some unnecessary elements like the 'Prerequisites' section stating obvious things, the 'Output' section listing vague bullet points, and inline comments that are misleading (e.g., '# 256 bytes' when MemorySize is in MB, '# 2010 = configured value' which is noise). Covering three full cloud platforms in one skill is borderline excessive when a user likely needs only one. | 2 / 3 |
Actionability | The code examples are mostly concrete and copy-paste ready, but several have issues: the Lambda handler uses a Python-style comment (`# HTTP 200 OK`) in TypeScript, the SAM template comment says '256 bytes' when MemorySize is in MB, and placeholder values like 'your-gamma-api-key' without clear guidance on substitution reduce reliability. The GitHub Actions workflow references a specific third-party action version that may not exist (v25). | 2 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced for each platform, but there are no validation checkpoints—no step to verify the deployment succeeded, no health check after deploy, no rollback guidance if something fails. For production deployments (a destructive/risky operation), the absence of verification steps caps this at 2. | 2 / 3 |
Progressive Disclosure | The content is a long monolithic file covering three cloud platforms plus GitHub Actions with no references to separate files for each platform's detailed configuration. The error handling table and resources section are reasonable, but the bulk of platform-specific content should ideally be split into separate files with the SKILL.md serving as an overview with links. | 2 / 3 |
Total | 8 / 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 |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
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