Writing Intelligence Compiler v2.0

Description

--- name: writing-intelligence description: > Sovereign Writing Intelligence Compiler v2.0 — 7-pass pipeline, signature-grade prose, zero AI residue. Fiction intelligence engine: chapter construction, 12 character roles, dialogue warfare (22 techniques, 9 tension elements), power dynamics, 8-phase tension compression, thriller architecture, transmedia deepening. 7 scoring systems. 16 genres. 8 voices. Trigger on: write, rewrite, edit, draft, revise, ghostwrite, prose, essay, chapter, sermon, speech, pitch, memo, narrative, dialogue, scene, thriller, suspense, tension, pacing, character voice, foreshadowing, subtext, score draft, grade writing, audit prose, anti-slop, AI detection, writing quality, improve writing, chapter construction, scene architecture, character roles, power dynamics, confined space, staging, cold open, fatal detail, silence, callback, worldbuilding, transmedia, lore bible, audio drama, scene audit, role audit, power map, plant audit, novel, short story, screenplay, creative writing, thriller writing, mystery, espionage. --- # Writing Intelligence Compiler v2.0 ## Purpose This skill is a multi-pass writing compiler. It does not merely remove AI tells. It produces prose with authorial identity, argument force, epistemic discipline, structural unpredictability, and sentence-level variance that no statistical detector can flag — because the output is genuinely well-written by human standards, not merely cleaned of machine patterns. **v2.0 additions**: Chapter construction doctrine, 12 character role archetypes, advanced dialogue warfare system (22 techniques + 9 tension elements), scene-level architecture (setting as force, props as weapons, power dynamics through staging, psychological warfare mechanics, pacing compression models). **Center of gravity**: Produce signature-grade writing with force, truth discipline, and authorial sovereignty — at every level from sentence to scene to chapter to arc. --- ## Architecture: 7-Pass Compilation Pipeline Every piece of writing processed by this skill runs through seven sequential passes. Passes may be skipped only when explicitly irrelevant (e.g., Pass 5 scene audit on a strategy memo). The default is ALL passes. ### Pass 0 — Mission Lock Before writing a single word, declare: - **Intent**: What must this text DO? (inform / convert / warn / teach / dignify / dominate / comfort / reveal / mobilize / persuade / entertain / defend / terrify / disorient) - **Audience**: Who reads this? (calibrate vocabulary, abstraction, evidence expectations) - **Voice**: Which voiceprint applies? (read `references/voiceprints/`) - **Genre**: Which genre pack governs? (read `references/genre_packs/`) - **Scale**: What level? (sentence / paragraph / scene / chapter / arc) - **Success condition**: One sentence describing what "worked" looks like ### Pass 1 — Diagnostic Scan Read `references/anti_patterns/phrases.md`, `references/anti_patterns/structures.md`, `references/anti_patterns/cadence.md`, and `references/anti_patterns/fake_depth.md`. Identify: - AI residue (phrases, structures, cadence patterns) - Contradictions within the text - Vagueness (claims without actors, actions, stakes, or specifics) - Cadence repetition (sentence-length uniformity, transition homogeneity) - Argument gaps (unsupported claims, missing premises) - Evidence gaps (assertions without backing) - Tone drift (sections that shift register without cause) - Perplexity flatness (vocabulary predictability across paragraphs) - Burstiness deficit (lack of sentence-length variance) ### Pass 2 — Structural Rewrite Read `references/positive_patterns/paragraph_shapes.md` and `references/compiler/section_architecture.md`. Fix: - Section order (does the argument build or meander?) - Paragraph sequence (does each paragraph earn its position?) - Thesis placement (is the core claim findable and load-bearing?) - Redundancy collapse (merge paragraphs saying the same thing differently) - Entry/exit strength (do sections open with force and close with resolve?) ### Pass 3 — Sentence Surgery (Anti-Slop Layer) Apply the rules from the anti-pattern references. Key principles: **Hard Bans** — never use under any circumstances: - "Here's the thing" / "Let's be clear" / "It's worth noting" - "In today's [anything]" / "In an era of" / "In a world where" - "At its core" / "At the end of the day" / "When all is said and done" - "Game-changer" / "Paradigm shift" / "Double-edged sword" - "It's not just X — it's Y" / "Not only X, but Y" - "The question isn't X — it's Y" - "Think about it" / "Let that sink in" / "Read that again" - "Spoiler alert" / "Plot twist" / "Here's the kicker" - "Full stop" / "Period" / "Mic drop" - Stacked rhetorical questions as pseudo-argument - "I" as first word of the piece (unless personal essay requires it) **Soft Bans** — remove unless they earn their place: - Adverbs (keep only when removal changes factual meaning) - Em dashes (allow only when they improve timing more than comma/colon) - Semicolons in casual prose - "However" as sentence opener (prefer structural contrast) - Parenthetical asides longer than 8 words - Sentences beginning with "And" or "But" more than once per 500 words **Earned Exceptions** — allowed when they serve a real function: - Rhetorical questions that open genuine tension (not fake insight) - One-sentence paragraphs that deliver impact (not manufactured drama) - Fragment sentences for rhythm (not lazy construction) - Repetition for rhetorical force (not padding) **Variance Injection Rules**: - No three consecutive sentences within ±5 words of each other in length - No two consecutive paragraphs with the same opening syntactic structure - Vocabulary must include at least 2 domain-specific or uncommon words per 300 words - Transition variety: no single transition word/phrase used more than twice in 1000 words - At least one sentence per 500 words must be ≤6 words - At least one sentence per 500 words must be ≥30 words ### Pass 4 — Voice Restoration Read the applicable voiceprint from `references/voiceprints/`. After cleanup, prose often flattens. This pass reinjects: - Sentence aggression level - Abstraction tolerance - Metaphor density - Emotional temperature - Cadence profile (short-long patterns, paragraph rhythm) - Humor allowance - Directness ceiling - Authority posture The voiceprint is the author's fingerprint. Without it, clean prose is still generic prose. The detector sees generic. The reader sees nobody. ### Pass 5 — Scene & Chapter Audit (NEW in v2.0) **For fiction, thriller, screenplay-adjacent, or narrative prose**, apply the scene-level architecture layer. Read: - `references/compiler/chapter_construction.md` - `references/compiler/character_role_archetypes.md` - `references/genre_packs/dialogue.md` (v2.0) - `references/positive_patterns/power_dynamics.md` (v2.0) - `references/positive_patterns/tension_mechanics.md` (v2.0) - `references/genre_packs/thriller_scene_architecture.md` (v2.0, if thriller/suspense) Audit: - **Setting**: Is the space an active force or a dead backdrop? - **Props**: Does every named object serve 2+ narrative functions? - **Character roles**: Can every character be mapped to one of the 12 archetypes? - **Power dynamics**: Is there an identifiable power object? Does it migrate? - **Dialogue layers**: Does every exchange operate on surface + subtext? - **Pacing model**: Does the chapter follow a compression sequence (normalcy → friction → pressure → false relief → fatal detail → silence → explosion → aftermath)? - **Foreshadowing**: Are climactic details planted earlier? Are plants invisible at time of planting? - **Tension elements**: Are at least 2 of the 9 dialogue tension elements active in every exchange? - **Identity/deception**: If applicable, do surface and operative narratives coexist? - **The fatal detail**: Is there a single small-scale trigger with enormous consequences? **Skip this pass** for non-narrative prose (strategy docs, emails, briefs, memos). Flag when the pass should have been applied but wasn't. ### Pass 6 — Stress Test Before finalizing, interrogate: 1. What would a skeptical, smart reader attack first? 2. What sentence feels like it could appear in any AI output? 3. What could be cut without losing meaning? 4. What line actually lands — would someone underline it? 5. Does the opening earn the reader's next 30 seconds? 6. Does the closing leave residue in the reader's mind? 7. Is there a single sentence a human would never write this way? 8. (For narrative) Would a reader immediately turn the page? 9. (For narrative) Does the final image/line of the chapter burn? 10. (For dialogue) Can you tell who's speaking with names removed? If any answer reveals weakness, return to the relevant pass. ### Pass 7 — Output Modes Return the requested output(s): - **clean**: Final draft, no markup - **annotated**: Draft with margin notes explaining decisions - **redline**: Original with tracked changes - **scorecard**: Full 100-point evaluation (see Diagnostics) - **violations**: List of every rule triggered and how it was resolved - **next-pass**: Recommendations for further improvement - **scene-audit**: Chapter construction scorecard (narrative prose only) Default output is **clean** unless the user requests otherwise. --- ## Scoring System (100 Points) Read `references/diagnostics/scorecard.md` for full rubric. | Category | Points | What It Measures | |---|---|---| | Clarity | 10 | Can a reader parse every sentence on first read? | | Specificity | 10 | Named actors, actions, stakes, numbers, examples? | | Rhythm | 10 | Sentence-length variance, paragraph cadence, musicality? | | Voice Integrity | 10 | Does it sound like a specific author, not a model? | | Argument Strength | 15 | Premises support conclusions? Logic holds under pressure? | | Evidence Discipline | 15 | Claims backed? Sources real? Quantifiers honest? | | Density | 10 | Every sentence earns its place? No filler? | | Audience Fit | 10 | Register, vocabulary, and depth match the reader? | | Memorability | 5 | Any line a reader would quote or remember? | | Structural Control | 5 | Sections do their declared jobs? Arc resolves? | **Grade Thresholds**: - Below 70: Weak — significant revision required - 70–79: Usable but soft — tighten argument and voice - 80–89: Strong — publishable with minor polish - 90–94: Elite — distinctive, defensible, memorable - 95–100: Signature-grade — this could only have come from this author **Automatic Fail Conditions** (score capped at 65 regardless of other marks): - Three or more hard-ban phrases detected - Perplexity flatness across 5+ consecutive sentences - Zero domain-specific vocabulary in 500+ words - Argument contains unsupported universal claim - Fabricated citation, statistic, or quote ### Narrative Scoring Extension (v2.0) For fiction, thriller, or chapter-level work, apply the supplemental scorecard from `references/compiler/chapter_construction.md` (100 additional points). The narrative score is reported alongside the prose score. A chapter can have excellent prose (90/100) but weak architecture (60/100) — both numbers matter. --- ## Voiceprint System Read the applicable file from `references/voiceprints/`. Available profiles: - `sovereign_commander.md` — Cold authority, strategic compression, zero filler - `literary_recursive.md` — Layered, subtext-rich, image-driven, temporal loops - `sermon_black_church.md` — Cadence, dignity, scriptural grounding, call-response - `investor_precision.md` — Data-forward, risk-aware, actionable, no adjectives - `founder_manifesto.md` — Vision-heavy, conviction-dense, future-claiming - `academic_rigorous.md` — Evidence-first, qualification-aware, citation-dense - `casual_sharp.md` — Conversational but intelligent, no hand-holding - `custom` — Build from user-provided samples (minimum 3 samples, 500+ words each) To build a custom voiceprint, analyze samples for: average sentence length, sentence-length standard deviation, paragraph length distribution, vocabulary tier, metaphor frequency, transition preferences, opening patterns, closing patterns, comma frequency, question frequency, and dominant syntactic structures. --- ## Genre Packs Read the applicable file from `references/genre_packs/`. Each pack adjusts the compiler's weighting matrix: - `strategy.md` — Evidence weight ↑, sequence ↑, operational clarity ↑ - `sermon.md` — Cadence ↑, spiritual resonance ↑, dignity ↑, applause architecture ↑ - `fiction.md` — Scene embodiment ↑, subtext ↑, image originality ↑ - `sales.md` — Trust ↑, friction removal ↑, objection anticipation ↑, CTA integrity ↑ - `academic.md` — Citation ↑, qualification ↑, claim-evidence binding ↑ - `speech.md` — Delivery rhythm ↑, audience calibration ↑, applause architecture ↑ - `email.md` — Compression ↑, action clarity ↑, tone precision ↑ - `pitch_deck.md` — Data density ↑, narrative arc ↑, ask clarity ↑ - `legal_positioning.md` — Precision ↑, hedging ↑, precedent awareness ↑ - `cinematic_narration.md` — Atmosphere ↑, pacing ↑, sensory density ↑, shot-based structure ↑ - `dialogue.md` — Character voice distinction ↑, subtext ↑, rhythm ↑, tension elements ↑, attribution technique ↑ **(v2.0)** - `government_brief.md` — Plain language ↑, statutory precision ↑, BLUF ↑, agency calibration ↑ - `medical_writing.md` — Evidence hierarchy ↑, clinical precision ↑, IMRAD structure ↑ - `patent_claims.md` — Claim structure ↑, antecedent basis ↑, enablement ↑, prior art framing ↑ - `thriller_scene_architecture.md` — Confined space ↑, compression model ↑, violence cost ↑, WWGW progression ↑ **(v2.0)** - `transmedia_character.md` — Voice consistency ↑, canon integrity ↑, standalone quality ↑, cross-format integration ↑ **(v2.0)** --- ## Rewrite Operators These are reversible transformation commands. Apply individually or in sequence: | Operator | Effect | |---|---| | `compress(N%)` | Reduce word count by N% without losing meaning | | `raise_intelligence` | Increase sophistication without increasing jargon | | `add_specificity` | Replace abstractions with named actors, numbers, examples | | `abstract_to_scene` | Convert conceptual passage into grounded narrative | | `sharpen_thesis` | Make the core claim more precise and defensible | | `strip_corporate` | Remove institutional voice patterns | | `make_colder` | Reduce warmth, increase analytical distance | | `make_warmer` | Increase empathy signals without sentimentality | | `make_executable` | Convert insight into action steps | | `genre_transfer(from, to)` | Rewrite in target genre while preserving content | | `audience_shift(from, to)` | Adjust register for different reader | | `inject_variance` | Add sentence-length and vocabulary unpredictability | | `kill_padding` | Remove every sentence that doesn't advance the argument | | `strengthen_closing` | Rewrite the final paragraph for maximum residue | | `scene_audit` | Run chapter construction checklist on narrative prose **(v2.0)** | | `role_audit` | Map every character to structural archetype **(v2.0)** | | `dialogue_stress_test` | Score dialogue against 9 tension elements + 22 techniques **(v2.0)** | | `power_map` | Track power object migration and control shifts through scene **(v2.0)** | | `plant_audit` | Verify all foreshadowing plants have payoffs and vice versa **(v2.0)** | --- ## Epistemic Integrity Layer Every draft must classify sentences as: - **Observed fact**: Writer witnessed or measured it - **Sourced fact**: Attributed to a named, verifiable source - **Inference**: Logical derivation from stated facts - **Synthesis**: Combination of multiple sources into a new claim - **Recommendation**: Prescriptive statement - **Rhetoric**: Persuasive move not grounded in evidence Enforcement rules: - Sourced facts require citations - Inferences must identify their premises - Recommendations must state the basis - Rhetoric must not masquerade as fact - Universal quantifiers ("all," "every," "never," "always") require evidence or qualification - Inflated verbs ("revolutionize," "transform," "redefine") require concrete backing - No fabricated citations, statistics, quotes, or studies — ever --- ## Paragraph Physics Read `references/positive_patterns/paragraph_shapes.md` for full detail. Every paragraph is audited for: - **Entry force**: Does the first sentence compel continuation? - **Sentence variety**: Length, structure, and rhythm within the paragraph - **Midpoint turn**: Does something shift, deepen, or complicate mid-paragraph? - **Exit type**: Launch (propels to next), Land (resolves), Hang (creates tension) - **Purpose**: What job does this paragraph do? (define / prove / contrast / narrate / warn / persuade / operationalize / close) - **Overlap**: Does it repeat what the previous paragraph already said? - **Compression opportunity**: Can it lose 20%+ without damage? --- ## Section Architecture Read `references/compiler/section_architecture.md`. Each section declares its job: - Define / Prove / Contrast / Narrate / Warn / Persuade / Operationalize / Close Then the compiler scores whether the section actually performed that job. A section that declares "Prove" but only asserts is flagged. --- ## Chapter Architecture (v2.0) Read `references/compiler/chapter_construction.md` for full doctrine. For fiction, thriller, or narrative prose at chapter scale, the compiler audits: - **Placement**: Is this chapter at the right structural inflection point? - **Setting**: Does the space function as an active antagonist? - **Props**: Every named object dual-purpose minimum? - **Psychological warfare**: Dialogue operates on 2+ layers? - **Power dynamics**: Identifiable shifts staged through space/objects? - **Pacing**: Follows compression model (8-phase sequence)? - **Foreshadowing**: Planted details pay off, payoffs are planted? - **Character roles**: 4+ of 12 archetypes deployed? - **Identity layer**: Surface and operative narratives coexist? - **Fatal detail**: Small trigger, enormous consequence, ironic? - **Aftermath**: Final image burns into reader memory? ### The Twelve Character Roles Read `references/compiler/character_role_archetypes.md` for full definitions. 1. Covert Operative — facade linchpin 2. Double Agent — dual-loyalty conduit 3. Interrogator — psychological pressure engine 4. Enforcer — physical threat counterweight 5. Celebrant — unwitting chaos agent 6. Observer — paranoia amplifier 7. Overlooked Ally — hidden resource 8. Innocent — consequence generator 9. Ghost — emotional depth charge 10. Shadow — invisible architect 11. Fall Guy — sacrificial pawn 12. Decoy — misdirection engine --- ## Argument Topology For persuasive, academic, or strategic writing, audit: - **Claim order**: Are claims sequenced for maximum cumulative force? - **Premise strength**: Is each premise load-bearing or decorative? - **Hidden assumptions**: What does the argument take for granted? - **Evidence-to-assertion ratio**: How many claims per supporting fact? - **Escalation logic**: Does the argument build, or does it plateau? - **Redundancy collapse**: Are two paragraphs making the same point? - **Ending strength**: Does the conclusion do more than summarize? --- ## Cliché and Pattern Collision Detection Beyond phrase bans, detect cadence signatures: - **LinkedIn cadence**: Short declarative. Line break. Another one. "And that changes everything." - **Startup guru cadence**: "Most people think X. They're wrong. Here's why." - **TED-talk cadence**: "What if I told you..." + pause bait + anecdote + universal lesson - **Fake profundity**: Abstract noun + "is" + another abstract noun. "Simplicity is the ultimate sophistication." - **LLM list rhythm**: Sentence. Sentence. Sentence. All same length. All same structure. - **Performative empathy**: "I see you. I hear you. This matters." (without specific referent) - **Fake decisiveness**: "The answer is simple:" (before something not simple) - **Trailer voice**: "In a world where..." / short punchy fragments / dramatic pause Flag any passage that matches 3+ characteristics of any single cadence signature. --- ## Intelligence-Grade Evaluators ### Abstraction Ladder Flags when prose floats above concrete reality for more than 3 consecutive sentences. Forces grounding: name an actor, a number, an example, or a scene. ### Concreteness Injector Converts "significant progress was made" → "[Actor] completed [specific thing] by [date], reducing [metric] from [X] to [Y]." ### Reader Respect Meter Catches over-explaining, hand-holding, stating the obvious, and fake intimacy. If the reader would think "I know that already" or "don't patronize me," cut it. ### Dominance vs. Warmth Selector A dial, not a toggle. Strategic writing sits at 80/20 dominance/warmth. Pastoral writing inverts. Sales copy oscillates. The skill adjusts per genre. ### Concept Density Meter Prevents idea stacking without oxygen. No more than 2 novel concepts per paragraph without an example, analogy, or breathing room between them. ### Originality Pressure Test For every sentence, ask: could this appear in 10,000 other AI outputs? If yes, rewrite until the answer is no. The sentence must bear the author's fingerprint. ### Scene Pressure Test (v2.0) For every scene, ask: could this setting/prop/exchange appear in 10,000 other thrillers? If yes, find the specific detail that makes it THIS story's version. A basement tavern is generic. A basement tavern where the record player belongs to the man who's been listening — that's architecture. --- ## Academic Mode Read `references/academic/` for full college-writing extensions. Key additions for academic contexts: - Course rubric compiler (extract and map to grading criteria) - Claim-evidence binding (every paragraph tagged: claim/evidence/explanation) - Citation intelligence (coverage gaps, source quality, paraphrase distance) - Discipline-specific reasoning packs - Anti-hallucination rules (no invented quotes, page numbers, studies, statistics) - Authorship proof layer (draft provenance, revision fingerprint, idea origin map) - Paragraph blueprints by function (thesis, close-reading, compare/contrast, method, rebuttal) - Class-note anchoring (lecture terms, professor vocabulary, course-specific debates) - Fact/inference/interpretation classifier --- ## Memory and Continuity (Longform) For multi-chapter or multi-document projects: - Character voice continuity tracking - Thesis continuity verification - Repeated metaphor detection - Contradiction checking across sections - Emotional arc continuity - Terminology lock (same concept = same word throughout) - Character role consistency (archetype doesn't shift without narrative cause) **(v2.0)** - Power object tracking across chapters **(v2.0)** - Foreshadowing ledger (planted / paid off / orphaned) **(v2.0)** --- ## File Reference Map When this skill triggers, read files in this order based on the task: 1. **Always**: This SKILL.md (you're reading it) 2. **Always**: `references/anti_patterns/phrases.md` 3. **If editing/rewriting**: `references/anti_patterns/structures.md` + `cadence.md` 4. **If deep cadence analysis**: `references/anti_patterns/cadence_expanded.md` (50+ patterns) 5. **If genre-specific clichés detected**: `references/anti_patterns/genre_slop.md` 6. **If authority claims feel hollow**: `references/anti_patterns/fake_authority.md` 7. **If abstract prose needs grounding**: `references/positive_patterns/scene_grounding.md` 8. **If voice matters**: applicable voiceprint from `references/voiceprints/` 9. **If building a custom voice**: `references/voiceprints/custom_voiceprint_builder.md` 10. **If genre-specific**: applicable genre pack from `references/genre_packs/` 11. **If auto-configuring pipeline**: `references/compiler/auto_mode.md` 12. **If scoring**: `references/diagnostics/scorecard.md` 13. **If generating a full audit**: `references/diagnostics/auto_diagnostic_report.md` 14. **If diagnosing failures**: `references/diagnostics/failure_modes.md` 15. **If academic**: `references/academic/academic_mode.md` + `references/academic/discipline_primitives.md` 16. **If argument-heavy**: `references/compiler/section_architecture.md` 17. **If transferring between genres**: `references/compiler/style_transfer.md` 18. **If longform (single session)**: `references/compiler/continuity.md` 19. **If longform (multi-session)**: `references/compiler/memory_system.md` 20. **If auditing multiple documents**: `references/compiler/cross_document_audit.md` 21. **If rewriting**: `references/diagnostics/rewrite_operators.md` 22. **If calibrating against examples**: `tests/gold_output_library.md` 23. **If stress-testing output**: `tests/adversarial_cases.md` 24. **If benchmarking against detectors**: `tests/detector_benchmark_suite.md` 25. **If writing fiction chapters**: `references/compiler/chapter_construction.md` **(v2.0)** 26. **If constructing characters for scenes**: `references/compiler/character_role_archetypes.md` **(v2.0)** 27. **If writing dialogue (any context)**: `references/genre_packs/dialogue.md` (v2.0 — 22 techniques + 9 tension elements) **(v2.0)** 28. **If writing thriller/suspense**: `references/compiler/chapter_construction.md` + `references/genre_packs/dialogue.md` + `references/genre_packs/cinematic_narration.md` + `references/genre_packs/thriller_scene_architecture.md` **(v2.0 combo)** 29. **If auditing scene power dynamics**: `references/positive_patterns/power_dynamics.md` + run `power_map` operator **(v2.0)** 30. **If auditing foreshadowing integrity**: Run `plant_audit` operator against `references/compiler/chapter_construction.md` **(v2.0)** 31. **If building tension/pacing**: `references/positive_patterns/tension_mechanics.md` **(v2.0)** 32. **If confined-space scene**: `references/genre_packs/thriller_scene_architecture.md` + `references/positive_patterns/tension_mechanics.md` **(v2.0)** 33. **If transmedia/storyworld**: `references/genre_packs/transmedia_character.md` **(v2.0)** 34. **If power dynamics through objects/space**: `references/positive_patterns/power_dynamics.md` **(v2.0)** 35. **If gesture/staging/body language**: `references/positive_patterns/power_dynamics.md` (Gesture Warfare section) **(v2.0)** 36. **If scoring thriller/fiction chapter**: Apply prose scorecard + chapter construction scorecard + power dynamics scorecard + tension mechanics scorecard + dialogue v2.0 scorecard **(v2.0 multi-score)**

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