MCP App StoreMCP App Store
from skills18
Analyzes codebase complexity (cyclomatic & cognitive) with lizard/radon and generates weekly reports attributing complexity changes per module.
Tracks cyclomatic and cognitive complexity trends across a repository by running static analysis tools (lizard for multiple languages, radon for Python). It aggregates results over time and produces weekly reports that attribute changes in complexity to specific commits and modules, helping teams spot growing hotspots, regressions, and refactor opportunities.
Use this skill when you want automated, repeatable complexity monitoring as part of CI or a scheduled job: weekly code health reports, pre-release checks to catch complexity spikes, or ongoing tech-debt tracking for large codebases. Works best on repositories with Python and mixed-language modules that lizard/radon can parse.
Appropriate for agents that can run shell commands and manage scheduled jobs (Agents that expose Python/CLI execution such as Codex/Copilot/Claude Code style runtimes).
This skill is essentially a stub — a markdown file with incoherent installation notes copied from the lizard upstream README. It references lizard and radon for complexity tracking but provides no actionable workflow, no scripts, and no integration instructions. The body text is fragmented and unreadable in places. Would not help a user actually track complexity trends.
Appears to be an auto-generated skill from a GitHub repo scrape. The skill_md_body is poorly extracted — the installation section is nonsensical. Frontmatter claims verification=security_reviewed but the skill has no scripts to review. Low usefulness because it doesn't actually automate anything; a user would just install lizard directly.
DALL·E Batch Image Generator
Create and manage batch image generation jobs using the OpenAI Images API (DALL·E 3), with prompt revision tracking and size/style controls.
Outline Knowledge Base Integration
Collaborative team knowledge base and wiki platform providing real-time editing, Markdown support, and rich API integrations.
Development Worktree
Create an isolated git worktree for feature work, auto-run project setup, and verify a clean test baseline before development.
Jx Component Library
Build server-rendered UIs using reusable .jx components in Python/Jinja2 with typed props and automatic asset management.
OpenShift Multi-Cluster Health Report
Generates consolidated health and resource reports across multiple OpenShift and Kubernetes clusters using the openshift-administration MCP server.
SourceSage CLI
Generate concise, LLM-friendly repository summaries (Markdown) using the SourceSage CLI — supports lite mode, language switching, and targeted repo analysis.
Supabase SDK Patterns (TypeScript & Python)
Production-ready patterns for using Supabase clients in TypeScript and Python: client initialization, typed queries, auth, realtime, storage, RPC, and error-han
Klaviyo Observability
Add Prometheus metrics, OpenTelemetry tracing, structured logging, and alerting for Klaviyo API integrations to monitor performance and failures.
Juicebox Performance Tuning
Guidance and code patterns to reduce Juicebox AI analysis latency: caching, batching, upload chunking, and pagination to improve throughput and responsiveness.
Vercel Common Errors
Diagnose and fix common Vercel build, serverless runtime, and edge/routing errors with step-by-step checks and fixes.