cover-letterlisted

# Cover Letter Skill (Academic Submission) Generate, optimize, align-check, journal-fit-check, and pre-submission-check a submission cover letter using the user's existing LaTeX manuscript as the evidence source. The core differentiating capability is **align-check**: every claim the letter makes must trace to visible manuscript evidence; generation and optimization plug into that contract by default. ## Capability Summary - Generate a draft from a manuscript .tex (five-segment scaffold; title/abstract/contributions/authors extracted deterministically). - Optimize an existing draft against tier strategy and the active journal template; return LaTeX-comment diff suggestions, never file edits. - Align-check letter claims against the manuscript (overclaim, missing evidence, unsupported numeric tokens, AI-disclosure inconsistency between letter and manuscript). Runs by default inside `generate` and `optimize`. - Journal-fit score on four sub-axes (scope_fit, novelty_framing, evidence_density, format_compliance) → HIGH / MEDIUM / LOW. - Pre-submission mechanical checks: required declarations, length, opener clichés, banned phrases, AI-tone term frequency, structural AI-trace signals, paragraph shape. - Unified deterministic CLI (`scripts/cover_letter.py`) with `--mode generate|optimize|align-check|journal-fit|presubmission`; legacy scripts remain supported. ## Triggering Use when the user has a LaTeX manuscript and wants a cover letter generated, an existing letter polished/r