deepgram-local-dev-loop
Configure Deepgram local development workflow with testing and mocks. Use when setting up development environment, configuring test fixtures, or establishing rapid iteration patterns for Deepgram integration. Trigger: "deepgram local dev", "deepgram development setup", "deepgram test environment", "deepgram dev workflow", "deepgram mock".
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-local-dev-loop/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 completeness and distinctiveness due to its specific focus on Deepgram local development. The explicit trigger terms and 'Use when' clause are well-crafted. The main weakness is that the capability description could be more specific about the concrete actions performed (e.g., what exactly gets configured, what kind of mocks are created).
Suggestions
Add more specific concrete actions to the first sentence, e.g., 'Creates mock API responses, sets up test fixtures with sample audio/transcription data, configures environment variables, and establishes hot-reload patterns for Deepgram integration.'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Deepgram local development) and some actions (configure workflow, testing, mocks), but doesn't list multiple concrete specific actions like 'create mock responses', 'set up test fixtures', 'configure environment variables', etc. | 2 / 3 |
Completeness | Clearly answers both 'what' (configure Deepgram local development workflow with testing and mocks) and 'when' (setting up development environment, configuring test fixtures, establishing rapid iteration patterns) with explicit trigger terms listed. | 3 / 3 |
Trigger Term Quality | Includes explicit trigger terms that users would naturally say: 'deepgram local dev', 'deepgram development setup', 'deepgram test environment', 'deepgram dev workflow', 'deepgram mock'. These cover natural variations well. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche targeting Deepgram local development workflow specifically. The combination of 'Deepgram' + 'local dev/testing/mocks' creates a clear, distinct trigger space unlikely to conflict with other 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 skill provides highly actionable, copy-paste ready code for setting up a Deepgram local dev workflow with good coverage of mocks, unit tests, and integration tests. Its main weaknesses are verbosity in mock data objects that inflate token cost without proportional value, and the lack of explicit validation checkpoints between workflow steps. The content would benefit from trimming mock data and adding verification steps.
Suggestions
Trim mock response objects to show minimal representative structure (2-3 fields per level) with a comment like '// full shape matches Deepgram PrerecordedResponse type' to save tokens.
Add explicit validation checkpoints between steps, e.g., 'Run `npx vitest run` after Step 5 to confirm mocks work before proceeding to integration tests.'
Consider moving the full mock objects to a referenced file (e.g., 'See tests/mocks/README.md for complete mock shapes') to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The mock response objects are quite verbose with many fields that could be trimmed (e.g., the full words array with multiple entries). The overall structure is reasonable but the mock data and test examples are longer than necessary to convey the pattern. | 2 / 3 |
Actionability | All code is fully executable TypeScript/bash with copy-paste ready commands, complete mock objects, working test files, and specific package.json scripts. Every step has concrete, runnable code. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced (1-6) and logically ordered from project setup through unit tests to integration tests. However, there are no explicit validation checkpoints between steps — no 'verify the fixtures downloaded correctly' or 'run tests to confirm mocks work before proceeding to integration tests' feedback loops. | 2 / 3 |
Progressive Disclosure | The content is mostly inline in a single file with a brief reference to 'deepgram-sdk-patterns' at the end. The mock responses are quite large and could be referenced from a separate file. The error handling table and resources section are well-organized, but the bulk of the content could benefit from splitting mocks and tests into referenced files. | 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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