documenso-performance-tuning
Optimize Documenso integration performance with caching, batching, and efficient patterns. Use when improving response times, reducing API calls, or optimizing bulk document operations. Trigger with phrases like "documenso performance", "optimize documenso", "documenso caching", "documenso batch operations".
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/documenso-pack/skills/documenso-performance-tuning/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 (Documenso performance optimization) and provides explicit trigger guidance. Its main weakness is that the specific capabilities could be more concrete—listing actual optimization techniques rather than general categories like 'efficient patterns'. The trigger terms and completeness are strong, making it easy for Claude to select appropriately.
Suggestions
Replace vague phrases like 'efficient patterns' with specific actions such as 'implement request deduplication, add pagination for large result sets, configure rate limiting'.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Documenso integration performance) and mentions some techniques (caching, batching, efficient patterns), but doesn't list multiple concrete actions—'optimize' and 'efficient patterns' are somewhat vague and don't describe specific steps like 'implement request deduplication' or 'add response caching layers'. | 2 / 3 |
Completeness | Clearly answers both 'what' (optimize Documenso integration with caching, batching, efficient patterns) and 'when' (improving response times, reducing API calls, optimizing bulk operations), with explicit trigger phrases provided. | 3 / 3 |
Trigger Term Quality | Includes explicit trigger phrases like 'documenso performance', 'optimize documenso', 'documenso caching', 'documenso batch operations', plus natural terms like 'response times', 'reducing API calls', and 'bulk document operations' that users would naturally say. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specific to Documenso performance optimization, which is a narrow niche unlikely to conflict with other skills. The combination of 'Documenso' + 'performance/caching/batching' creates very distinct triggers. | 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, actionable skill with excellent executable code examples covering multiple performance optimization strategies. Its main weaknesses are verbosity (repetitive fetch patterns, lengthy code blocks that could be extracted) and missing validation checkpoints for batch/bulk operations. The content would benefit from being split into an overview with links to detailed implementation files.
Suggestions
Add a validation/dry-run step before batch document sending (e.g., 'Preview batch of 5 before processing all 100') to provide a feedback loop for destructive bulk operations.
Extract the full implementation code blocks (batch processor, Bull queue setup, cache module) into separate referenced files, keeping SKILL.md focused on patterns and quick-start snippets.
Reduce code duplication by defining the fetch helper/headers once and reusing it, rather than repeating the full Authorization header pattern in every example.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly long with substantial code blocks. Some code is somewhat repetitive (e.g., the fetch patterns with headers are duplicated across steps). The 'WITHOUT templates' example is useful for contrast but adds bulk. Comments within code are helpful but the overall content could be tightened—particularly the batch operations step which largely repeats the template pattern from Step 1. | 2 / 3 |
Actionability | All code examples are fully executable TypeScript with real library imports, concrete API calls, and complete function signatures. The examples are copy-paste ready with specific libraries (p-queue, Bull, node-cache) and realistic patterns. The performance targets table provides concrete benchmarks. | 3 / 3 |
Workflow Clarity | Steps are clearly numbered and sequenced, but there are no explicit validation checkpoints between steps. For batch operations (Step 3) which are potentially destructive (sending documents to many recipients), there's no validation/dry-run step or verification before sending. The error handling table is helpful but reactive rather than preventive. Missing feedback loops for batch operations caps this at 2. | 2 / 3 |
Progressive Disclosure | The skill has good section structure and references external resources and a next-steps link to 'documenso-cost-tuning'. However, the content is quite long (~150+ lines of code) and could benefit from splitting detailed implementations (e.g., the full batch processor, the Bull queue setup) into separate reference files, keeping SKILL.md as a concise overview with patterns and links. | 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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