Find and fix slow endpoints from real Profyle traces, verified by replaying the request.
123 on GitHubby Carlos Valdiviav0.1.0MITupdated 1 month ago
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Plugin profyle from marketplace profyle in vpcarlos/profyle. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
What it installs
Skills (1)
fix-slow-endpoint
Diagnose and fix a slow endpoint or request in a Python web app (FastAPI, Flask, Django, Tornado, any ASGI/WSGI framework) using real Profyle/VizTracer traces, then prove the fix by replaying the request and comparing traces. Use when the user says an endpoint, API call, page or request is slow, has
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to [email protected] (ReasoningBank learning, ecosystem tools prompt_injection_scan, swarm_partition_tasks, sublinear_solve, sublinear_pagerank and ecosystem_status, multi-provider routing, autopilot learning; readonly profile by default, no tool pre-approved), 2 agents, 4 skills, /agentic-flow-status, and a mod guard on agentic_flow_agent with /agentic-flow-guard
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices
16 skills · 1 command · 3 agents
wshobson/agents 42,461
Maintain profyle?
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