majiayu000/claude-arsenal
xiaohongshu
xiaohongshu
286 148
View 
MLflow 3 GenAI Evaluation
mlflow-evaluation
MLflow 3 GenAI evaluation for agent development. Use when (1) writing mlflow.genai.evaluate() code, (2) creating @scorer functions, (3) building evaluation datasets from traces, (4) using built-in scorers (Guidelines, Correctness, Safety, RetrievalGroundedness), (5) analyzing traces for latency/e...
SKILL.md
Full skill instructions
MLflow 3 GenAI Evaluation
Before Writing Any Code
- Read GOTCHAS.md - 15+ common mistakes that cause failures
- Read CRITICAL-interfaces.md - Exact API signatures and data schemas
End-to-End Workflows
Follow these workflows based on your goal. Each step indicates which reference files to read.
Workflow 1: First-Time Evaluation Setup
For users new to MLflow GenAI evaluation or setting up evaluation for a new agent.
| Step | Action | Reference Files |
|---|---|---|
| 1 | Understand what to evaluate | user-journeys.md (Journey 0: Strategy) |
| 2 | Learn API patterns | GOTCHAS.md + CRITICAL-interfaces.md |
| 3 | Build initial dataset | patterns-datasets.md (Patterns 1-4) |
| 4 | Choose/create scorers | patterns-scorers.md + CRITICAL-interfaces.md (built-in list) |
| 5 | Run evaluation | patterns-evaluation.md (Patterns 1-3) |
Workflow 2: Production Trace -> Evaluation Dataset
For building evaluation datasets from production traces.
| Step | Action | Reference Files |
|---|---|---|
| 1 | Search and filter traces | patterns-trace-analysis.md (MCP tools section) |
| 2 | Analyze trace quality | patterns-trace-analysis.md (Patterns 1-7) |
| 3 | Tag traces for inclusion | patterns-datasets.md (Patterns 16-17) |
| 4 | Build dataset from traces | patterns-datasets.md (Patterns 6-7) |
| 5 | Add expectations/ground truth | patterns-datasets.md (Pattern 2) |
Workflow 3: Performance Optimization
For debugging slow or expensive agent execution.
| Step | Action | Reference Files |
|---|---|---|
| 1 | Profile latency by span | patterns-trace-analysis.md (Patterns 4-6) |
| 2 | Analyze token usage | patterns-trace-analysis.md (Pattern 9) |
| 3 | Detect context issues | patterns-context-optimization.md (Section 5) |
| 4 | Apply optimizations | patterns-context-optimization.md (Sections 1-4, 6) |
| 5 | Re-evaluate to measure impact | patterns-evaluation.md (Pattern 6-7) |
Workflow 4: Regression Detection
For comparing agent versions and finding regressions.
| Step | Action | Reference Files |
|---|---|---|
| 1 | Establish baseline | patterns-evaluation.md (Pattern 4: named runs) |
| 2 | Run current version | patterns-evaluation.md (Pattern 1) |
| 3 | Compare metrics | patterns-evaluation.md (Patterns 6-7) |
| 4 | Analyze failing traces | patterns-trace-analysis.md (Pattern 7) |
| 5 | Debug specific failures | patterns-trace-analysis.md (Patterns 8-9) |
Workflow 5: Custom Scorer Development
For creating project-specific evaluation metrics.
| Step | Action | Reference Files |
|---|---|---|
| 1 | Understand scorer interface | CRITICAL-interfaces.md (Scorer section) |
| 2 | Choose scorer pattern | patterns-scorers.md (Patterns 4-11) |
| 3 | For multi-agent scorers | patterns-scorers.md (Patterns 13-16) |
| 4 | Test with evaluation | patterns-evaluation.md (Pattern 1) |
Reference Files Quick Lookup
| Reference | Purpose | When to Read |
|---|---|---|
GOTCHAS.md | Common mistakes | Always read first before writing code |
CRITICAL-interfaces.md | API signatures, schemas | When writing any evaluation code |
patterns-evaluation.md | Running evals, comparing | When executing evaluations |
patterns-scorers.md | Custom scorer creation | When built-in scorers aren't enough |
patterns-datasets.md | Dataset building | When preparing evaluation data |
patterns-trace-analysis.md | Trace debugging | When analyzing agent behavior |
patterns-context-optimization.md | Token/latency fixes | When agent is slow or expensive |
user-journeys.md | High-level workflows | When starting a new evaluation project |
Critical API Facts
- Use:
mlflow.genai.evaluate()(NOTmlflow.evaluate()) - Data format:
{"inputs": {"query": "..."}}(nested structure required) - predict_fn: Receives
**unpacked kwargs(not a dict)
See GOTCHAS.md for complete list.
More skills from majiayu000
majiayu000/claude-arsenal
technical-spec
technical spec
286 141
View majiayu000/claude-arsenal
product-ux-expert
product ux expert
286 133
View majiayu000/claude-arsenal
database-patterns
database patterns
286 119
View majiayu000/claude-skill-registry
agent-task-conductor
Conduct multi-agent task orchestration and workflow coordination.
663 1
View majiayu000/claude-skill-registry
conductor-setup
Initialize project with Conductor artifacts (product definition,
663 1
View majiayu000/claude-skill-registry
animation-designer
Expert in web animations, transitions, and motion design using Framer Motion and CSS
663 1
View majiayu000/claude-skill-registry
diagramming
Creates Mermaid and ASCII diagrams for flowcharts, architecture, ERDs, state machines, mindmaps, and more. Use when user mentions diagram, flowchart, mermaid, ASCII diagram, text diagram, terminal diagram, visualize, C4, mindmap, architecture diagram, sequence diagram, ERD, or needs visual docume...
663 1
View majiayu000/claude-skill-registry-data
h3-pg
PostgreSQL bindings for H3 hexagonal grid system. Use when working with H3 cells in Postgres, including spatial indexing, geometry/geography integration, and raster analysis.
23 1
View majiayu000/claude-skill-registry
conductor-development
Context-Driven Development skill for projects using Conductor. Use this skill when you detect a `conductor/` directory in the project, when working on tasks defined in a `plan.md` file, or when the user asks about tracks, specs, or plans. Automatically applies TDD workflow, tracks task completion...
663 1
View majiayu000/claude-skill-registry
conductor-status
Display project status, active tracks, and next actions
663 1
View majiayu000/claude-skill-registry
dockerization
Official Stakpak application containerization standard operating procedure, a step-by-step guidline to properly dockerize applications. This is a rule book curated by the Stakpak Team.
663 1
View Popular AI tools
Video
Kaiber
Generate, edit, and beat-sync AI video with leading models in one workspace.
Paid
View Productivity
Vimcal
The world's fastest calendar for remote work
Free
View I
Images
IMGCreator.ai
Transform Your Design with AI Designer by ImgCreator.ai
Freemium
View Content & writing
Akool AI
Revolutionizing Video Production with AI-Powered Creativity
Paid
View Images
Clipdrop Uncrop
Extend an image past the frame and let AI fill the new aspect ratio.
Freemium
View Security
StarByFace
Discover your celebrity doppelgänger with StarByFace!
Free
View C
Finance
ChainClarity
ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.
Freemium
View Coding & apps
Opus Clip
Opus.ai: Revolutionize Your Web Experience
Free
View