Skill UI

Helps product managers diagnose whether AI workflows rely on indiscriminate context stuffing or deliberate context engineering, then apply bounded domains, retrieval, and Research→Plan→Reset→Implement practices to improve reliability and output quality.

This pattern addresses the fundamental limitation of context window size by treating the filesystem as a persistent, external memory. Agents can write large outputs, plans, or findings to files, offloading them from the active context. Instead of carrying all information, agents use targeted search and retrieval tools to load only the necessary context on demand, drastically reducing token bloat and improving performance over long, complex tasks.

Generates and reviews Odoo XML definitions for Form, List, Kanban, Search, Calendar, and Graph views across versions 14–17, handling visibility, groups, domains, contexts, and widget rules with migration-aware syntax so you can deliver production-ready view XML.

Coordinates Exa MCP-driven web_search_exa and get_code_context_exa calls for up-to-date web results, code snippets, and company or people intel whenever the user requests research, competitive analysis, or development context.

This tool is designed to help optimize and refine prompts used with Large Language Models (LLMs). By structuring inputs, it ensures that the instructions given to AI systems are clear, comprehensive, and contextually rich, resulting in significantly higher quality and relevance of the generated output. Useful for developers, writers, and researchers.

Allows users to resume an interrupted or paused autoresearch experiment. It automatically loads the full context, including configuration, strategy files, complete results history, and recent code changes. The system then summarizes the current best metrics and patterns, prompting the user to continue with a single iteration, set up an automated loop, or manually review the results.

This skill orchestrates deep critical reviews of research work using external AI models like Codex, Gemini, or Claude. It gathers project context, identifies logical gaps, and provides adversarial feedback on methodologies and results. Suitable for academic papers, experimental validation, and refining research ideas through multi-round reasoning.

A persistent file planning system for multi-step AI agent work. It saves task plans, findings, and progress to disk, acting as disk-based working memory. Includes lifecycle hooks for context injection and session recovery. Suitable for research or tasks requiring 5+ tool calls. No network upload path.

Deep research and scientific writing assistant that produces LaTeX/BibTeX documents with verified citations for papers, proposals, reports, and reviews, ensuring well-formatted, citation-backed outputs for academic or clinical contexts.

This skill enables AI agents to maintain persistent project planning using Markdown files on disk. It manages task_plan.md, findings.md, and progress.md to extend context window limits. Lifecycle hooks automatically inject planning content and prevent command execution in Markdown. Ideal for complex research tasks requiring over 5 tool calls, ensuring state persistence across sessions without network uploads.

A comprehensive set of specialized tools for deep interaction with source codebases. This context-mode is mandatory for advanced tasks such as running code snippets, analyzing files, batch processing repository commands, indexing knowledge, searching content, and fetching web data. It ensures that interactions are context-aware and highly efficient, moving beyond basic file listing or general chat prompts.

This skill analyzes a set of web pages to generate a prioritized roadmap for internal linking optimization. It identifies natural link opportunities, detects critical orphan pages, and warns against anchor text cannibalization risks. The output provides the exact anchor text, the optimal context sentence for placement, and classifies the link type (e.g., Cluster to Pillar), ensuring maximum authority flow and improved search engine visibility.