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 that clearly identifies its niche (Deepgram local development) and provides explicit trigger terms and use-when guidance. Its main weakness is that the 'what' portion could be more specific about the concrete actions performed (e.g., creating mock API responses, setting up fixture files, configuring environment variables). The explicit trigger list is a strong addition for disambiguation.
Suggestions
Add more specific concrete actions to the first sentence, e.g., 'Creates mock API responses, sets up test fixture files, configures environment variables, and establishes rapid iteration 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'. Also includes natural keywords like 'test fixtures', 'rapid iteration patterns', and 'development environment'. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche targeting Deepgram local development workflow specifically. The combination of 'Deepgram' + 'local dev' + 'mocks' + 'test fixtures' makes it highly 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 is a solid, highly actionable skill with complete executable code for every step of setting up a Deepgram local dev workflow. Its main weaknesses are verbosity in mock data (the full mock objects consume significant tokens without proportional value) and lack of explicit validation checkpoints between workflow steps. The content would benefit from trimming mock examples and adding verification steps.
Suggestions
Trim mock response objects significantly—show one minimal mock with key fields and note that the full shape can be captured from a real API response, rather than spelling out every word-timing entry.
Add explicit validation checkpoints: e.g., 'Run `npm test` after Step 5 to verify mocks work before proceeding to integration tests' and 'Verify fixture download: `file fixtures/nasa-podcast.wav`'.
Consider moving the full mock objects to a referenced file (e.g., 'See tests/mocks/deepgram-responses.ts in the project template') to improve progressive disclosure and reduce inline bulk.
| 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—a shorter mock with a comment like '// truncated for brevity' would suffice. | 2 / 3 |
Actionability | Every step provides fully executable, copy-paste ready code: bash commands for project setup, complete TypeScript mock files, working unit tests with vi.mock, and integration tests. The package.json scripts and environment configs are concrete and specific. | 3 / 3 |
Workflow Clarity | Steps are clearly sequenced (1-6) and logically ordered from project structure through fixtures, config, mocks, unit tests, to integration tests. However, there are no explicit validation checkpoints between steps—no 'verify fixtures downloaded successfully' or 'run tests to confirm mocks work before proceeding to integration tests' feedback loops. | 2 / 3 |
Progressive Disclosure | The content is mostly monolithic—all mock data, unit tests, and integration tests are inline rather than referenced from separate files. The error handling table and resources section are well-organized, and there's a pointer to 'deepgram-sdk-patterns' for next steps, but the bulk of the content (especially the large mock objects) could be split 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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