Database

Implementing docs-as-code workflows using tools like Docusaurus, MkDocs, and static site generators

Crafting effective README files and getting-started guides that onboard users quickly

Creating operational runbooks and incident documentation for reliable system operations

Writing tutorials and how-to guides that teach through building real, working examples

Specialized in detecting AI-generated prose patterns in fiction manuscripts. Catalogs 30+ specific AI writing tells, provides per-chapter density scoring, suggests human-sounding replacements, and maintains a phrase blacklist. Use when the user wants to scrub their manuscript of robotic or formulaic AI language, or when AI-generated text needs to read as authentically human-written.

Builds a comprehensive character bible from a manuscript or outline. Extracts all characters, physical descriptions, personality traits, relationships, arcs, first/last appearances, and dialogue patterns into a structured reference document. Use when the user wants to create a character reference, catalog their cast, or prepare supporting documents before a novel audit.

Detects AI character flattening — when characters lose psychological complexity and become predictable, always-reasonable, emotionally convenient versions of real people. Scans for: artificial epiphanies, characters who never make bad decisions, uniform emotional intelligence, missing contradictions, absent flaws that actually cause problems, growth arcs that happen in epiphany rather than through struggle, and characters who exist only to serve the protagonist's development. Produces character depth scores and specific recommendations. Use when characters feel thin, agreeable, or interchangeable despite having different backstories.

Analyzes dialogue across all characters in a manuscript to ensure each has a distinct voice. Extracts speech patterns, vocabulary level, sentence length, verbal tics, and emotional register per character. Produces voice fingerprints and a similarity matrix. Use when the user suspects their characters all sound the same or wants to strengthen dialogue differentiation.

Detects AI emotional monotone — when a novel operates in a narrow emotional register, defaulting to wistful, bittersweet, melancholy, or gently hopeful tones instead of the full spectrum of human emotion. Scans for: missing ugly emotions (pettiness, spite, boredom, disgust, glee, shame), emotional words overused vs. absent, scenes that should be funny/terrifying/infuriating but land as merely "poignant," and the AI tendency to aestheticize all suffering. Produces an emotional spectrum analysis with coverage gaps. Use when the novel feels emotionally samey or "everything is bittersweet."

Comprehensive AI-generated novel auditor. Use this skill whenever the user wants to audit, review, proofread, or quality-check an AI-generated novel, book, or long-form fiction. Triggers include: "audit my novel", "check my book for errors", "review my manuscript", "check character names", "find plot inconsistencies", "check for duplicate text", "verify my story follows the outline", "review my AI-written novel", "novel QA", "book consistency check". Use even if the user only mentions one specific concern (names, duplicates, etc.) — always run the full audit unless explicitly told otherwise. This skill handles novels of any genre, length, or structure.

Deep cliché and originality scanner operating beyond phrase-level — detects clichéd plot structures, stock character archetypes, predictable story beats, borrowed world elements, and AI's tendency to reproduce the most common version of every story element. Scans for: chosen one narratives, love triangles that resolve predictably, mentor deaths, training montages, villain monologues, deus ex machina, and 50+ cataloged plot/character/setting clichés. Produces an originality score and specific subversion suggestions. Use when the novel feels derivative or "like something I've read before."

Deep-dives into verifying a manuscript follows its outline beat-by-beat. Maps every outline item to its manuscript location, identifies missing scenes, added scenes, reordered events, underdeveloped beats, and over-developed tangents. Use when the user wants to confirm their manuscript matches their plan, or when drift between outline and draft is suspected.

Detects AI-generated pacing and structural failures in novels: uniform tension curves, premature conflict resolution, missing rising action, false climaxes, saggy middles, identical chapter structures, scene-to-sequel ratio imbalance, absent rest beats, escalation failure (every scene at the same emotional pitch), and the AI tendency to resolve everything too neatly. Produces a tension map, pacing graph, and structural diagnosis. Use when the novel feels flat, predictable, or like nothing is building.

A line-editing pass focused on improving prose quality at the sentence and paragraph level. Unlike the audit skills, this skill actively rewrites — targeting weak verbs, redundant adverbs, filter words, cliche metaphors, awkward rhythms, and paragraph-level pacing issues. Use when the user wants their manuscript's prose tightened and polished chapter by chapter.

A final pre-publication checklist covering everything beyond the story itself: front matter, back matter, formatting, metadata, and platform-specific requirements for KDP, IngramSpark, and other distributors. Use when the user's manuscript is content-complete and they need to prepare it for actual publication.

Deep repetition analysis for AI-assisted novels. Detects repeated phrases, recycled descriptions, echoed sentence structures, reused character reactions, duplicated metaphors, thematic hammering, and cross-chapter amnesia where the AI rewrites material it already covered. Produces a full repetition map with frequency counts, chapter locations, and specific revision guidance. Use when the manuscript feels repetitive, circular, or like it's saying the same things in different words.

Reviews a manuscript for problematic representation, stereotypes, cultural insensitivity, and harmful tropes across multiple dimensions including gender, race, disability, sexuality, and cultural accuracy. This skill is advisory — it flags concerns for human review rather than prescribing changes. Use when the user wants a representation check before publication.

Detects and fixes AI over-telling — when the narration states emotions, motivations, themes, and subtext directly instead of conveying them through action, dialogue, sensory detail, and implication. Catalogs: stated emotions ("she felt sad"), explained motivations ("he did this because"), narrated subtext ("the tension between them was palpable"), theme announcements ("she realized that love was about sacrifice"), redundant interiority (showing AND telling the same thing), and the AI tendency to explain every metaphor after deploying it. Produces a show/tell ratio and specific rewrite guidance. Use when the prose feels over-explained, hand-holdy, or like the narrator doesn't trust the reader.

Identifies and tracks every subplot in a manuscript from introduction through development to resolution or abandonment. Maps subplot touchpoints across chapters and flags dropped threads, abrupt resolutions, and subplots that disappear for too long. Use when the user wants to verify all their narrative threads are properly managed.

Builds a chronological timeline from a manuscript by tracking every stated time reference, then identifies temporal impossibilities, travel time violations, aging inconsistencies, and contradictory event ordering. Use when the user needs to verify their story's internal chronology or suspects timeline errors in an AI-generated manuscript.

Detects narrator voice drift in AI-generated novels — when the narrative voice shifts inconsistently between chapters, POV bleeds across characters in multi-POV novels, tonal register changes randomly, and the prose style oscillates between literary, casual, and generic depending on which AI session generated it. Produces a voice consistency map, identifies drift zones, and provides recalibration guidance. Use when the novel's narration feels inconsistent, or when different chapters feel like they were written by different people.

Audits worldbuilding consistency across a novel — detects contradictions in setting rules, magic systems, technology, geography, culture, economics, politics, and physical laws that AI introduces when generating across multiple sessions. Scans for: rule contradictions, geography errors, anachronisms, economic impossibilities, cultural inconsistencies, magic/tech system violations, and generic/default world elements that lack specificity. Produces a world bible discrepancy report. Use when the novel's world has been built incrementally by AI and needs consistency verification.

Each language has its own section. Navigate directly to the relevant one.

Translates English novels and literary fiction into German with native fluency. Handles compound words, case system, verb-final clauses, Sie/du formality, and Konjunktiv II for literary narration. Triggers: "translate to German", "translate my novel to German", "German literary translation".

Covers both Castilian (Spain) and Latin American variants. Note regional variant at the start.

French literary prose uses a tense system that does not exist in English. Getting this wrong is the single most immediate marker of a non-literary translation.

Translates English novels and literary fiction into Italian with native fluency. Handles passato remoto vs imperfetto, pronoun dropping, lyrical cadence, and regional color. Triggers: "translate to Italian", "translate my novel to Italian", "Italian literary translation".

Translates English novels and literary fiction into Japanese with native fluency. Handles honorifics, sentence-final particles, topic-comment structure, keigo levels, and vertical text conventions. Triggers: "translate to Japanese", "translate my novel to Japanese", "Japanese literary translation".

Translates English novels and literary fiction into Brazilian Portuguese with native fluency. Handles tu/você distinction, gerund usage, cultural warmth, and features distinct from European Portuguese. Triggers: "translate to Brazilian Portuguese", "translate my novel to Portuguese BR", "Brazilian Portuguese literary translation".

Translates English novels and literary fiction into European Portuguese with native fluency. Handles formal register, mesoclisis, enclisis, and features distinct from Brazilian Portuguese. Triggers: "translate to European Portuguese", "translate my novel to Portuguese PT", "European Portuguese literary translation".

Translates English novels and literary fiction into Simplified Chinese with native fluency. Handles chengyu, measure words, aspect markers, literary vs vernacular register, and no-tense-inflection grammar. Triggers: "translate to Chinese", "translate to Simplified Chinese", "Chinese literary translation".

Literary novel translator: translates English novels and long-form fiction into other languages so they read as if originally written in the target language — not as a translation. Use whenever the user wants to translate a novel, book, story, chapter, or any literary prose from English into another language. Triggers: "translate my novel", "translate this chapter", "translate my book to Spanish/French/German/Japanese/etc.", "make this sound natural in [language]", "literary translation", "translate without sounding like a translation", "localize my novel", "translate prose", "translate fiction". Always apply the full literary translation methodology — never produce word-for-word or sentence-by-sentence mechanical translation.

Glossary to be updated with each chapter. Review before beginning each new chapter.

Cross-language translation principles, the full translationese audit, and craft guidance applicable to all target languages.

Converting action sequences, chases, fights, and visual spectacle into compelling prose. Techniques for pacing, sensory immersion, POV-locked action, and ensuring that physical conflict serves character rather than replacing it.

Structures novelizations at the chapter level — mapping screenplay scenes to novel chapters using Story Grid commandments, act structures, POV management, and time elasticity. Converts scene-based thinking into chapter-based architecture.

The end-to-end process for transforming a screenplay into a finished novel. A practical, step-by-step workflow covering every phase from first script read to manuscript delivery, with timelines, word count targets, and a working checklist.

Converts screenplay scene headings and production design into immersive prose environments. Covers selective detail, character-filtered description, sensory writing, and the research demands of replacing visual shorthand with written texture.

Techniques for translating screenplay dialogue into novelistic dialogue — adding beats, physical business, interior reaction, and the gap between what characters say and what they mean. Knows when to expand and when to leave a perfect line alone.

The core novelization skill. Transforms externalized screenplay action into rich interior experience — thoughts, doubts, memories, contradictions, sensory-emotional layering — giving readers direct access to what characters think and feel beneath the surface.

The hardest novelization skill. Teaches when and how to diverge from the screenplay because prose has different strengths. Covers the fidelity spectrum, strategies for addition and restructuring, and the difference between novelization and transcription.

Techniques for expanding a screenplay's visual cross-cutting into deliberate novelistic point-of-view choices. Covers adding POV characters, ensemble cast management, rotation patterns, and why POV expansion is the single biggest value-add of novelization.

The business and market side of screenplay-to-novel adaptation. Covers publishing deals, studio rights and approvals, compensation structures, market history, and where novelization thrives today — from franchise tie-ins to prestige crossovers.

Guides the development of narrative voice for novelizations — the single element screenplays entirely lack. Covers person, tense, register, and tone decisions with frameworks for matching voice to material and avoiding flat "screenplay prose."

Techniques for transforming lean screenplay scenes into full novel chapters. Covers how to slow time, add texture, layer subtext, and decide where to expand and where to stay lean — the difference between depth and filler.

Evaluates a screenplay's novelization potential by analyzing what prose can expand and what challenges the material presents. Provides ratio frameworks, diagnostic checklists, and case studies for determining how a script will translate to long-form fiction.

Applying Shawn Coyne's Story Grid methodology to novelization work. Uses the five commandments, value shifts, genre analysis, and the Story Grid spreadsheet to diagnose screenplay structure and identify where prose expansion is needed and where it is not.

Resisting the urge to over-explain what a screenplay leaves unsaid. Translating cinematic silence, ambiguity, and actor performance into prose equivalents that preserve emotional power without resorting to explicit emotional labeling.

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