Translate DOCX to RTL languages (Arabic, Hebrew, Urdu) preserving exact formatting, tables, colors, layouts. Handles quote normalization and multi-pass matching.
Behaviour Twin KIT
Implement RLM-style (Recursive Language Model) orchestration for complex tasks. This skill should be used when facing large context requirements, multi-part tasks that would benefit from parallel execution, or when context rot is a concern. Automatically decomposes tasks, spawns parallel subagents, aggregates results, and iterates until completion. Inspired by the RLM research paper (arXiv:2512.24601).
Advanced python-docx patterns for handling nested tables, complex cell structures, and content extraction beyond basic .text property. Complements the official docx skill with specialized techniques for forms, checklists, and complex layouts.
Search and retrieve data from local Weaviate using semantic search, filters, RAG, and hybrid queries
Upload and process data into local Weaviate collections with support for single objects, batch uploads, and multi-modal content
Functional mythological compression for OCTAVE documents. Semantic shorthand for LLM audiences, not prose decoration
Every AI output has structural blind spots determined by the generation process itself. Future Tokens operations are named, composable instruments that target specific blind spots. They surface new information on every pass because expanding the output changes the blind spot geometry.
Textum PRD→Scaffold→Story workflow for Codex with low-noise outputs and gate checks.
Connect to local Weaviate vector database and verify connection health
Set up and manage a local Weaviate instance using Docker
QA harness for LLM agents: scenario suites, flake controls, tool sandboxing, LLM-as-judge scoring, and regression protocols.
Reference for LocalStack AWS service availability by tier (Free/Base/Ultimate). Essential for KECS development to understand which AWS-compatible services can be used locally without cost.
Create, view, update, and delete Weaviate collections with schema management (for local Weaviate)
Provides the complete content of 'The Swift Programming Language (6.3 beta)' book by Apple. Use this skill when you need to verify Swift syntax, look up language features, understand concurrency, resolve compiler errors, or consult the formal language reference.
Reference tables for Copilot Studio YAML authoring: triggers, actions, variables, entities, Power Fx functions, templates. Preloaded by author and troubleshoot agents.
List all available kind discriminator values from the Copilot Studio YAML schema. Use when the user asks what kinds/types are available.
List all topics in the Copilot Studio agent with their trigger types, phrases, and action counts. Use when the user wants to see what topics exist.
Edit Copilot Studio agent settings, instructions, or configuration. Use when the user asks to change agent instructions, display name, conversation starters, AI settings, or generative actions toggle.
Edit an existing connector action (TaskDialog) in a Copilot Studio agent. Modify inputs, outputs, descriptions, connection mode, and other properties using connector definitions as reference.