Individual skill
brightdata-performance-tuning
Analyze and tune a Bright Data workload from measured phase latency, failure classes, and bounded experiments instead of undocumented provider assumptions. Use when improving throughput or tail latency. Trigger with: "speed up Bright Data", "tune Browser API performance", "reduce snapshot latency".
plugins/saas-packs/brightdata-pack/skills/brightdata-performance-tuning/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 12, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- web-data Declared skill tag
- bright-data Declared skill tag
- performance-tuning Declared skill tag
- operations Declared skill tag
- operations Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 3,813 bytesreferences/official-docs.mddoc · 759 bytes
Read excerpt
# Bright Data Evidence-Based Performance Tuning
## Overview
Improve the slowest measured phase while preserving authorization, correctness, and cost ceilings. Choose the Bright Data product that matches the interaction, separate provider time from local queue and processing time, change one variable, and retain rollback evidence.
## Prerequisites
- Approved targets and representative request or snapshot fixtures
- Baseline traces for queue, connect, provider, transfer, parse, and downstream phases
- Explicit latency, success, concurrency, byte, and cost thresholds
## Instructions
### Step 1: Build the baseline