General Counsel Advisor

Auto-intercepts English messages for grammar / word-choice / expression issues (max 3 per message); auto-translates Chinese / Japanese / Korean / Spanish / other-language messages with vocabulary extraction. Also handles word lookups, phrase lookups (e.g. 'break the ice'), translation requests, and quiz/review. Logs every prose input (clean OR with issues) to `prose_log` so fluency rate is tracked over time. Pushes 3 due-for-review words at the first session of each day (spaced repetition: 1/3/7/14/30/90 days). Triggers: any English message, any Chinese message, any non-English-non-Chinese prose, single English word, idiom, '查单词', '学英语', 'what does X mean', vocabulary review. Data stored at ~/.learnwy/english-learner/ with mastery + fluency tracking.

Audits, scores, and refactors AGENTS.md and CLAUDE.md agent instruction files using execution-first standards: working commands, real-failure gotchas, signal-to-noise, and @import progressive disclosure. Runs a 12-check quick triage or a 49-check full audit with letter grades, then proposes minimal diffs. Use when asked to audit, review, score, refactor, or improve agent instruction files, fix stale commands, reduce bloat, write a new AGENTS.md, or when asking "my AGENTS.md is bad", "help me write a CLAUDE.md", or "improve my agent instructions". For SKILL.md skill files use agent-skills-creator; for general docs use docs-writing; for mining session history into instruction suggestions use the external cadence-advise skill where installed.

Document lessons, update rules/templates/docs. Use to capture learnings after review.

Creates evidence-based learning plans that maximize long-term retention through spaced repetition, retrieval practice, interleaving, and elaboration. Guides through goal definition, material breakdown, review scheduling, and progress tracking. Use when long-term knowledge retention is needed, studying for exams or certifications, learning new job skills or technology, mastering substantial material, combating forgetting, or when user mentions studying, memorizing, learning plans, spaced repetition, flashcards, active recall, or durable learning.

Review investment portfolios for risk, diversification, fees. Asset allocation recommendations, tax-loss harvesting, rebalancing.

Use vision models to self-review screenshots against design intent. Catches spacing issues, alignment problems, color inconsistencies, responsive bugs, and accessibility gaps. Use when reviewing designs, comparing implementations to mockups, or doing pre-ship QA.