deepgram-prod-checklist
Execute Deepgram production deployment checklist. Use when preparing for production launch, auditing production readiness, or verifying deployment configurations. Trigger: "deepgram production", "deploy deepgram", "deepgram prod checklist", "deepgram go-live", "production ready deepgram".
80
77%
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/deepgram-pack/skills/deepgram-prod-checklist/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 well-structured skill description with strong trigger terms and clear 'what/when' guidance. Its main weakness is the lack of specific concrete actions—it says 'execute checklist' but doesn't enumerate what the checklist covers (e.g., API key management, webhook configuration, rate limit verification). Adding 2-3 specific checklist items would improve specificity.
Suggestions
Add specific concrete actions the checklist covers, e.g., 'Verifies API key configuration, webhook endpoints, rate limits, error handling, and logging setup for Deepgram deployments.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | The description names the domain (Deepgram production deployment) and a general action (execute checklist, audit readiness, verify configurations), but does not list specific concrete actions like 'check API key rotation, verify webhook endpoints, validate rate limits'. The actions remain at a high level. | 2 / 3 |
Completeness | The description clearly answers both 'what' (execute Deepgram production deployment checklist) and 'when' (preparing for production launch, auditing production readiness, verifying deployment configurations), with explicit trigger terms provided. | 3 / 3 |
Trigger Term Quality | The description explicitly lists natural trigger phrases users would say: 'deepgram production', 'deploy deepgram', 'deepgram prod checklist', 'deepgram go-live', 'production ready deepgram'. These cover common variations of how a user would request this skill. | 3 / 3 |
Distinctiveness Conflict Risk | The description is highly specific to Deepgram production deployments, which is a clear niche. The trigger terms all include 'deepgram' combined with production/deployment terms, making it very unlikely to conflict with generic deployment or other API skills. | 3 / 3 |
Total | 11 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid, highly actionable production deployment checklist with executable code examples covering key concerns (singleton client, health checks, metrics, alerts, error handling). Its main weaknesses are the lack of explicit validation checkpoints between steps (e.g., 'verify health check passes before proceeding to metrics setup') and the monolithic structure that could benefit from splitting detailed code into separate referenced files. Minor verbosity in the Overview and Output sections could be trimmed.
Suggestions
Add explicit validation checkpoints between steps, e.g., 'Verify health check returns 200 before proceeding to Step 3' and 'Confirm metrics endpoint returns data before configuring alerts in Step 4.'
Split the detailed code examples (Prometheus metrics, alert rules, error handling wrapper) into separate bundle files and reference them from SKILL.md to improve progressive disclosure.
Remove the Output section as it merely restates what was already built in the steps, and trim the Overview to a single sentence since the Production Readiness Matrix already serves as the overview.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly comprehensive but includes some unnecessary verbosity—the Overview section restates what the checklist already shows, and the Output section merely lists what was already built in the steps. The code examples are substantial but justified given the production deployment context. Some tightening is possible. | 2 / 3 |
Actionability | Every step includes fully executable TypeScript or YAML code that is copy-paste ready. The production readiness matrix provides a concrete checklist, the code examples are complete with imports and error handling, and the alert rules are directly usable Prometheus configurations. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced and the go-live timeline provides a phased approach. However, there are no explicit validation checkpoints between steps—no 'verify the health check returns 200 before proceeding' or 'confirm metrics are being scraped before setting up alerts.' For a production deployment checklist involving potentially destructive operations, this lack of verification gates is a gap. | 2 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and tables, but it's a monolithic document (~200 lines of code examples inline). The Prometheus metrics, alert rules, and error handling wrapper could reasonably be split into referenced files. The Resources section links to external docs but no bundle files support progressive disclosure. | 2 / 3 |
Total | 9 / 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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