By cmgramse
MLflow GenAI observability and evaluation operator — onboarding, tracing instrumentation, trace/session analysis, agent evaluation, metrics, and docs search.
Use when a user wants to evaluate, improve, optimize, or regression-test a GenAI agent or LLM app with MLflow datasets, scorers, and evaluation runs. Triggers include "evaluate my agent", "create MLflow scorers", "run mlflow.genai.evaluate", or "verify this fix with MLflow".
Use when a user asks to analyze an MLflow chat session, review multi-turn conversation traces, reconstruct chat history, debug a session, find where a conversation went wrong, or inspect session-level assessments.
Use when a user asks how to use MLflow, wants MLflow docs for tracing, evaluation, GenAI, agents, scorers, datasets, metrics, tracking, or a provider/framework integration, or needs current MLflow API guidance.
Use when a user asks for MLflow trace metrics, token usage, latency, trace counts, error rates, assessment metrics, cost/usage trends, or aggregated observability statistics across experiments or time ranges.
Use when a user wants to get started with MLflow, add MLflow to a project, set up tracking, configure a tracking URI or experiment, choose local/server/Databricks mode, verify readiness, or route an MLflow task to tracing, trace analysis, session analysis, evaluation, metrics, or docs.
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This repository (skill-development) is the skill factory for iurFriend: the centralized environment where all Claude Code plugins are developed, tested, and refined. It is structured as a plugin marketplace (iurfriend-skills), but the primary activity is building and refining skills, not distributing them. Forward-going, marketplace-distributable skills ship as plugins (single- or multi-skill) per Anthropic's canonical shape.
First stop for anyone (AI or human) doing skill work — read these three before touching anything:
CLAUDE.md— the de-facto orientation doc: the full plugin catalog, plugin architecture, credential/contract/orchestrator doctrine, and the development workflow.PATTERNS.md— Layer-0 canonical index of every binding doctrine, principle, R-decision, and shared contract (routes to the sources in.agents/andconcepts/skills-ecosystem/).AGENTS.md— the Codex / Opencode parity entry-point; mirrors CLAUDE.md's catastrophic-invariant summary for non-Claude harnesses.The README below is the marketplace-facing front door. The canonical rules live in the three files above — this README orients, it does not govern.
25 marketplace plugins (plus the resident iurfriend-skill-patterns carrier, counted separately) across the marketing operating system and supporting web/management/observability tooling — brand extraction, funnel and conversion design, SEO, content creation, concept development, measurement and optimisation, site building/design/review/refactor, solution architecture, team and finance operations, data-collection engineering, creative media and podcast generation, voice, and LLM observability operators (LangFuse, MLflow).
Plus a vendored (third-party) tier — 18 vetted-external developer-tooling and productivity plugins imported for iurFriend employees (superpowers, beads, cloudflare, n8n-skills, supabase, obsidian-skills, defuddle, impeccable, extract-design, agent-browser, using-entire, frontmatter-generation, asana, and the official agent-sdk-dev / claude-code-setup / claude-md-management / feature-dev / mcp-server-dev). These are not factory-built: each is copied verbatim from a permissively-licensed upstream (MIT/Apache-2.0, or license flagged UNCONFIRMED), carries its LICENSE + UPSTREAM.md, and is listed in the auditable VENDORED.md register. The Anthropic docx/xlsx/pdf/pptx document skills are proprietary and not vendored; they are approved for install directly on iurFriend laptops — see EXTERNAL-PLUGINS.md (the companion register to VENDORED.md) for the exact install commands. Full vendored per-plugin catalog: the Vendored plugins section in CLAUDE.md.
For the authoritative, per-plugin catalog with one-line purposes, see the Plugins in This Marketplace table in CLAUDE.md. It is kept current; this README does not duplicate it.
Every top-level entry, one line each. Plugin directories are listed collectively (each is a self-contained plugin — see the canonical layout in CLAUDE.md § Plugin Architecture); the per-plugin catalog is in CLAUDE.md.
npx claudepluginhub cmgramse/skill-development --plugin mlflowLocal podcast studio — turns any source (topic, URL, PDF, markdown, repo) into a finished branded episode: research, multi-voice script, Gemini TTS, music mix, show notes, and cover image. Ships the podcast-studio orchestrator skill and a /podcast command. Brand-as-config via show profiles; decoupled from any cloud control plane.
Rendering presenter — brainstorms, selects, and renders the most impactful visualisations for producer artifacts or ad-hoc data into self-contained (or interactive) reports. Emits frontmatter-free presentation siblings under presentation-sibling-contract@1. A strict presenter: it represents data and producer-supplied interpretations, never computes new findings, scores, deltas, or verdicts.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Rendered page and flow auditor with browser evidence, qualitative page-experience findings, impeccable frontend craft checks, privacy-aware screenshots, and remediation routing.
Project bootstrap operating layer for Codex, Claude Code, and OpenCode: Beads setup, audit logging, AGENTS.md, CLAUDE.md, project rules, and orchestrator/executor/reviewer roles.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex and antigravity CLIs when installed) to get diverse perspectives on coding problems
Permanent coding companion for Claude Code — survives any update. MCP-based terminal pet with ASCII art, stats, reactions, and personality.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.