Use when creating or editing documents (DOCX, PDF, XLSX, PPTX) that need professional output. Adds visual verification, typography hygiene, and formula patterns.

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.

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).

Use when writing, reviewing, or refactoring Python to ensure adherence to modern best practices (type syntax, `uv` instead of `python`, linting, formatting, etc.)

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.

Functional mythological compression for OCTAVE documents. Semantic shorthand for LLM audiences, not prose decoration

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.

QA harness for LLM agents: scenario suites, flake controls, tool sandboxing, LLM-as-judge scoring, and regression protocols.

Create, view, update, and delete Weaviate collections with schema management (for local Weaviate)

Set up and manage a local Weaviate instance using Docker

Connect to local Weaviate vector database and verify connection health

Upload and process data into local Weaviate collections with support for single objects, batch uploads, and multi-modal content

Search and retrieve data from local Weaviate using semantic search, filters, RAG, and hybrid queries

Textum PRD→Scaffold→Story workflow for Codex with low-noise outputs and gate checks.

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.

Search the known-issues knowledge base (GitHub issues labeled "kb") for symptoms, root causes, and mitigations. Use when the user reports unexpected behavior that may already have a documented fix.

Guide users through adding a new connector action to a Copilot Studio agent. Connector actions require UI-based connection setup, so this skill walks users through the Copilot Studio portal steps, then delegates to edit-action for YAML modifications.

Send a message to a published Copilot Studio agent and get its full response. Use when the user asks to test a specific utterance, check how the agent responds, verify a topic was fixed, or do a quick point-test after making YAML changes. Also useful for multi-turn conversation testing.

Shared project context for all Copilot Studio sub-agents. Provides project structure, schema lookup usage, and skill invocation guidance.

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.