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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".

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill documenso-performance-tuning
What are skills?

81

1.72x

Quality

77%

Does it follow best practices?

Impact

86%

1.72x

Average 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.md
SKILL.md
Review
Evals

Evaluation results

100%

26%

Add Caching Layer to Documenso Integration Service

Redis caching with TTL and invalidation

Criteria
Without context
With context

ioredis library

0%

100%

Document TTL value

100%

100%

Template TTL value

100%

100%

Document cache key prefix

0%

100%

Template cache key prefix

0%

100%

Atomic setex usage

80%

100%

Cache invalidation on webhook

100%

100%

Startup cache warming

100%

100%

Cache-aside pattern

100%

100%

JSON serialization

100%

100%

Singleton client

100%

100%

Without context: $0.3723 · 1m 36s · 22 turns · 23 in / 5,560 out tokens

With context: $0.4499 · 1m 29s · 23 turns · 318 in / 4,965 out tokens

68%

26%

Bulk NDA Distribution System for Vendor Onboarding

Batch operations with rate-limiting queue

Criteria
Without context
With context

p-queue library

0%

100%

Queue concurrency

0%

100%

Queue interval

0%

100%

Queue intervalCap

0%

100%

Bulk recipient API

33%

0%

SDK package name

100%

100%

Client timeout

100%

100%

Retry backoff strategy

100%

100%

Backoff parameters

100%

100%

Template-based envelope creation

40%

0%

signerIndex mapping

0%

0%

Without context: $1.1037 · 3m 26s · 49 turns · 44 in / 10,138 out tokens

With context: $1.1850 · 3m 39s · 45 turns · 307 in / 10,672 out tokens

92%

57%

Document Audit Pipeline with Signature Reminder System

Pagination, background jobs, and performance monitoring

Criteria
Without context
With context

Async generator pagination

100%

100%

Page size value

0%

100%

findV0 pagination

0%

0%

Bull queue library

0%

100%

Job attempts

0%

100%

Job backoff type

50%

100%

PerformanceMonitor class

50%

100%

Sliding window size

0%

100%

Percentile metrics

25%

100%

Average metric

100%

100%

Singleton client used

100%

100%

Pagination termination

33%

100%

Without context: $0.5192 · 2m 36s · 26 turns · 25 in / 9,179 out tokens

With context: $1.4094 · 3m 54s · 61 turns · 58 in / 12,736 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.