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".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill documenso-performance-tuning81
Quality
77%
Does it follow best practices?
Impact
86%
1.72xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/documenso-pack/skills/documenso-performance-tuning/SKILL.mdDiscovery
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 description with explicit trigger guidance and clear use cases. The main weakness is that the specific capabilities could be more concrete - listing actual optimization techniques rather than general categories like 'caching' and 'batching'. The description excels at distinctiveness due to the specific Documenso focus.
Suggestions
Expand specificity by listing concrete actions like 'implement request caching', 'batch multiple document signings', 'optimize webhook handling', or 'reduce redundant API polling'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (Documenso integration) and mentions some actions (caching, batching, efficient patterns), but doesn't list comprehensive concrete actions like specific optimization techniques or measurable outcomes. | 2 / 3 |
Completeness | Clearly answers both what (optimize Documenso integration with caching, batching, efficient patterns) and when (improving response times, reducing API calls, bulk operations) with explicit 'Use when' and 'Trigger with' clauses. | 3 / 3 |
Trigger Term Quality | Explicitly lists natural trigger phrases users would say: 'documenso performance', 'optimize documenso', 'documenso caching', 'documenso batch operations'. Also includes terms like 'response times', 'reducing API calls', 'bulk document operations'. | 3 / 3 |
Distinctiveness Conflict Risk | Very specific niche targeting Documenso performance optimization specifically. The combination of 'Documenso' + performance/caching/batching creates distinct triggers unlikely to conflict with general document or 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, actionable skill with excellent executable code examples covering caching, batching, and performance monitoring patterns. The main weaknesses are the length (could benefit from splitting advanced topics into separate files) and the lack of explicit validation checkpoints in multi-step workflows, particularly for batch operations where partial failures could occur.
Suggestions
Add explicit validation steps after batch operations (e.g., 'Verify all documents created successfully before proceeding') with error recovery patterns for partial failures
Split advanced topics (Bull queue setup, full performance monitoring class) into separate reference files to reduce main skill length
Add a quick-start section at the top with the most common optimization (singleton client + basic caching) before diving into comprehensive patterns
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some unnecessary verbosity like 'Optimize Documenso integrations for speed, efficiency, and scalability' which Claude can infer. The code examples are comprehensive but some explanatory comments could be trimmed. | 2 / 3 |
Actionability | Excellent executable TypeScript code throughout with complete, copy-paste ready examples for caching, batching, connection pooling, pagination, and monitoring. All code is concrete and functional, not pseudocode. | 3 / 3 |
Workflow Clarity | Steps are numbered and sequenced, but validation checkpoints are missing. For operations like batch document creation or cache invalidation, there's no explicit verify-then-proceed pattern or error recovery feedback loops. | 2 / 3 |
Progressive Disclosure | Content is well-organized with clear sections, but the skill is quite long (~300 lines) with all content inline. Some sections like the full Bull queue implementation or performance monitoring could be split into separate reference 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 | |
Table of Contents
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