flame-graph-generator

gatling-scenario-creator

gc-log-analyzer

heap-dump-analyzer

jmeter-test-plan-creator

k6-script-generator

load-test-scenario-planner

locust-test-creator

memory-profiler-setup

network-latency-tester

percentile-analyzer

performance-baseline-creator

response-time-analyzer

soak-test-planner

spike-test-setup

stress-test-config

thread-dump-analyzer

throughput-calculator

compression-optimizer

dbt-test-creator

file-format-converter

spark-sql-optimizer

ab-test-analyzer

report-template-generator

sql-query-optimizer

cloudformation-template-creator

sam-template-builder

memorystore-config

api-testing-helper

openapi-spec-generator

integration-test-generator

design-doc-template

incident-postmortem-template

migration-guide-creator

email-template-generator

kpi-dashboard-template

stakeholder-communication-template

test-skill

schema-optimization-orchestrator

Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.

Decompose large-scale changes into independent units and spawn parallel agents in isolated worktrees. Use for migrations, refactors, codemods, and any change touching 10+ files with the same pattern.

Turn a conversation into an issue that still reads correctly after a

Master the four operations of context engineering — Write, Select, Compress, Isolate. Manage token budgets, compaction strategies, and context partitioning to keep AI sessions sharp and efficient.

Optimize token usage and context management. Use when sessions feel slow, context is degraded, or you're running out of budget.

Track session costs, set budget alerts, and optimize token spend. Use to check costs mid-session or set spending limits.

Remove AI-generated code slop, unnecessary comments, and over-engineering from the current branch diff. Cleans up boilerplate, simplifies abstractions, and strips defensive code. Use when cleaning up code, simplifying, removing boilerplate, or before committing.

Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Computes stats from project memory and session history. Use when asking for stats, statistics, progress, how am I doing, coding history, or dashboard.

Capture a lesson from the current session into permanent memory.

LLM-powered quality verification using prompt hooks. Validates commit messages, code patterns, and conventions using AI before allowing operations. Use to set up intelligent guardrails.

Audit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.