Skill UI

Search and cite French and European case law and statutes using LibreJustice MCP tools. Supports queries on court decisions (Cour de cassation, Conseil d'État, courts of appeal, etc.), extraction of quotable excerpts, verification of authority, and analysis of judicial trends.

Skill for designing and auditing theoretical results (propositions, theorems, equilibria, stability) for the Journal of Systems Engineering, ensuring formal results explain system mechanisms rather than merely containing formulas.

A skill for designing evidence and validation strategies for academic manuscripts submitted to the Journal of Systems Engineering. It covers standards for numerical experiments, simulations, real data, case studies, and empirical research, ensuring claims are supported by appropriate evidence rather than generic robustness checks.

This skill performs a read-only audit to identify missing, weak, or stale test coverage in codebases. It analyzes full repositories or specific scopes like PRs, features, and APIs to recommend concrete test cases. It prioritizes high-risk areas and ensures behavior is properly covered without executing tests or performing security reviews.

This skill acts as a Systems Engineer for the Andru.ia platform. It is designed to create, draft, and deploy new AI skills within a specific repository while adhering to the Diamond Standard. The workflow involves defining technical names, expert roles, and key outputs, then generating necessary documentation like README files and registry snippets. It ensures high-quality, non-generic skills with defined expert roles and proper folder structures.

This skill manages the acc deliberation queue by draining open or waiting brain_frames checkpointed during headless runs. It allows listing frames, reading context, deliberating, and submitting proposals via acc_act with runtime continue. It ensures safe resubmission and calibrates the Work Model using PREDICT lines.

This skill routes goals through the acc's scored-memory loop using acc_act with runtime="solve". It enables deliberation on returned brain_frames and submission via continue. Users must reason over frames and end proposals with a prediction score. It ensures honest commitment closure and prevents solo-derivation outside the loop.

A comprehensive guide to building production-grade evaluation systems for Large Language Models (LLMs). This skill covers advanced methodologies, including Direct Scoring and Pairwise Comparison, alongside critical techniques for mitigating systematic biases (e.g., Position Bias, Length Bias). Learn how to select appropriate metrics and structure prompts to ensure reliable, consistent, and objective quality assessment across various AI applications.

A meta-skill that evaluates task complexity, selects and combines appropriate skills from local or catalog sources, records successful skill combinations via agent-memory-mcp, and guards against over-engineering simple tasks.

Compiled Bun/TypeScript CLI covering all 52 endpoints of the Anytype desktop local API — objects, properties, tags, search, chat, and files. A low-context alternative to the official MCP server, usable from any terminal or script.

A comprehensive guide and skill for building robust, production-ready REST API endpoints. This skill covers full lifecycle development, including input validation, centralized error handling, authentication/authorization checks, CRUD operations, pagination, and generating proper API documentation. It ensures that back-end services are secure, scalable, and adhere to industry best practices.

Generate output schema files (dataset_schema.json, output_schema.json, key_value_store_schema.json) for Apify Actors by analyzing source code. Helps create or update Actor output schemas with proper field definitions, nullable settings, and display views. Follows existing repository conventions and reuses type definitions.