address-feedback

Create and maintain prescriptive reference documentation optimized for AI coding agents — architecture maps, decision dispatch tables, constraints catalogs, and task recipes

Fetch transcripts from YouTube videos using youtube-transcript-api

Produce a reliable, high-stakes-grade result for any task by treating the work as guilty until independent skeptics fail to break it — runs a dynamic adversarial-verification Workflow that hunts ten failure modes and loops until two consecutive clean rounds

A personal Claude Code plugin marketplace with reusable skills, agents, and hooks

Continuous Iterative Development (CID) for long-horizon projects: an autonomous loop of four fresh-context roles (update-state, define-next, advance, review) that advances a project in small verified increments toward a human-owned target, self-determines its phase (new/poc/mvp/stable), adjusts rigor per phase, and self-improves through a learnings ledger and retro passes

Simplifies and refines Python code for clarity, consistency, and maintainability while preserving all functionality

Apply systems thinking to a problem or decision — classify it as clear, complicated, complex, or chaotic, diagnose it with the DART framework, surface hidden parts/connections/patterns and incentive/feedback traps, and recommend the action protocol that fits the system type

Design command-line interface parameters and UX: arguments, flags, subcommands, help text, output formats, error messages, exit codes, prompts, config/env precedence, and safe/dry-run behavior

Customize and extend Zensical documentation sites with interactive pages, custom templates, JavaScript widgets, and CSS styling

Review an idea, concept, system, or problem against Frederic Vester's 8 bio-cybernetic rules — map its feedback loops, score each rule (aligned/at-risk/violated), surface the highest-leverage fixes, and judge whether the design is viable or headed for runaway growth, brittleness, or collapse