jwiegley

Multi-phase, multi-model deep analysis workflow for complex problems. This skill should be used when the user wants rigorous, multi-model collaborative analysis: deep research with Opus and PAL MCP consensus (GPT-5.4-Pro + Gemini 3 Pro), strategic planning, Sonnet execution with tests, comprehensive review, and adversarial devil's advocate critique. Invoke explicitly with /forge.

Compress and simplify prompts to preserve meaning while reducing use of context

Resolve NixOS issues using research and sequential thinking

Edit, analyze, and create Node-RED flows by working with flows.json files, understanding node types, and applying Node-RED best practices. Use when the user mentions Node-RED, flows.json, flow development, or needs to modify Node-RED configurations.

Translate English language text into high quality, accurate Persian (Farsi) text using a team of specialist reviewers

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Write, review, or improve SwiftUI code following best practices for state management, view composition, performance, modern APIs, Swift concurrency, and iOS 26+ Liquid Glass adoption. Use when building new SwiftUI features, refactoring existing views, reviewing code quality, or adopting modern SwiftUI patterns.

Write, review, or improve SwiftUI code following best practices for state management, view composition, performance, modern APIs, Swift concurrency, and iOS 26+ Liquid Glass adoption. Use when building new SwiftUI features, refactoring existing views, reviewing code quality, or adopting modern SwiftUI patterns.

Exhaustively verify code comments against the current state of a project. Use when asked to audit, fact-check, or validate comments/docstrings -- to confirm that every claim a comment makes is true, that any code shown in a comment actually works, and that everything a comment references still exists. Supports auditing an entire project or only the changes in a PR or stack of PRs. Triggers: "check the comments", "are these comments still accurate", "audit comments in this PR", "verify the docstrings".

Multi-phase, multi-model deep analysis workflow for complex problems. This skill should be used when the user wants rigorous, multi-model collaborative analysis: deep research with Opus and PAL MCP consensus (GPT-5.5-Pro + Gemini 3 Pro), strategic planning, Opus execution with tests, comprehensive review, and adversarial devil's advocate critique. Invoke explicitly with /forge.

Build, edit, and debug Node-RED flows on John's NixOS host (vulcan). Tuned to his actual plugin set, wiring conventions, naming style, and to the nodered_events PostgreSQL log + Grafana dashboard for chain tracing. Use whenever the user mentions Node-RED, flows.json, a flow tab name (Office, Schedule, Schedules, Pool Time, Away, Bedroom, TV Room, Institute Night, Debug), a Node-RED plugin or node type (chronos, api-call-service, api-current-state, server-state-changed, join-wait, actionflows, etc.), the Node-RED Events Grafana dashboard, or asks why a flow fired or didn't fire.

Translate English language text into high quality, accurate Persian (Farsi) text using a team of specialist reviewers

Write in John Wiegley's authentic voice. Use when drafting technical articles, blog posts, essays, or any written material that should read as if John wrote it himself. Captures patterns from 1,100+ posts spanning 1992-2026 across both technical (newartisans) and personal (johnwiegley) blogs. Focuses on technical writing but incorporates cross-cutting voice patterns from the full corpus.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Compress and simplify prompts to preserve meaning while reducing use of context

Resolve NixOS issues using research and sequential thinking