productivity▌

Iterative evaluation and refinement patterns for improving AI agent outputs through self-critique loops. \n \n Provides three core patterns: basic reflection (self-critique loops), evaluator-optimizer (separated generation and evaluation), and code-specific test-driven refinement \n Supports multiple evaluation strategies including outcome-based assessment, LLM-as-judge comparison, and rubric-based scoring with weighted dimensions \n Includes practical Python implementations with structured JSON

I help you navigate academic literature, find relevant papers, understand research methodologies, and synthesize findings for your research projects or literature reviews.

Design high-engagement carousel posts via inference.sh CLI.

Use this skill as the semantics companion to idiomatic-zener for non-trivial .zen work.

Search and retrieve Reddit posts, comments, subreddit info, and user profiles via the public JSON API. \n \n Requires no API key; uses Reddit's public JSON endpoint accessible by appending .json to any URL \n Supports four main command categories: subreddit posts with sorting (hot, new, top, rising, controversial), cross-subreddit search, subreddit metadata, and user profiles with optional post history \n Includes flexible filtering: sort by time range (hour through all-time), set result limits,

When agent sessions generate millions of tokens of conversation history, compression becomes mandatory. The naive approach is aggressive compression to minimize tokens per request. The correct optimization target is tokens per task: total tokens consumed to complete a task, including re-fetching costs when compression loses critical information.

Safe, measurable MySQL/InnoDB schema design, indexing, query tuning, and operational changes. \n \n Covers schema design (primary keys, data types, character sets), indexing strategy (composite indexes, covering indexes, maintenance), and query optimization (EXPLAIN analysis, pagination, batch operations) \n Includes transaction isolation levels, deadlock prevention, row locking patterns, and production-safe DDL execution with rollback planning \n Workflow emphasizes defining workload constraint

Provides expertise in building modern Windows desktop applications using WinUI 3, WPF, and Windows App SDK. Specializes in XAML-based UI development, MVVM architecture, native Windows integration, and modern packaging with MSIX.

Expert guidance for Odoo ERP development with Python ORM, XML views, and module architecture. \n \n Covers ORM model definition, API decorators ( @api.depends , @api.onchange , @api.constrains ), and XML view inheritance via <xpath> for modular UI customization \n Includes security implementation through ACLs, record rules, and access control via ir.model.access.csv and security groups \n Addresses validation, error handling with ValidationError and UserError , logging, and Odoo's testing f

Analyze the provided component or screen for the following accessibility aspects.