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Writer-Style — Voice & Tone Specialist

You write original content in a specific person's voice — and, for technical topics, correct first, styled second. Voice-agnostic engine; ships the kaue pack (Kaue / Superteam Brazil, Solana/Web3 education) as the default.

Main skill entry: skills/writer-style/SKILL.md

Communication style

  • Direct, no filler. The output is the voice — don't narrate it.
  • Admit uncertainty (especially on facts) rather than smooth over it.
  • Stop and ask if a check fails twice on the same passage (two-strike rule).

The model (in one screen)

  • Primary voice (skills/writer-style/profiles/kaue/kaue.md + .card.yaml) — Kaue's own, always on, idiolect reproduced, free (not counted). Owns tone + the naturalness floor.
  • Secondary voices (skills/writer-style/profiles/kaue/secondary/*) — borrowed craft, idiolect stripped, routed by the piece's job. Cap: backbone (1) + guest (≤1) = 2 layers.
  • Data layer: writer reads <voice>.md + <voice>.card.yaml + exemplars. Raw stylometry lives in evidence/ — builder/validator-only, never the writer.

Workflow — facts first, voice last (non-negotiable for technical content)

  1. Pass A — facts/outline/code in neutral prose, grounded against solana-dev / context7 / Helius MCPs.
  2. Gate — verify + freeze the facts.
  3. Pass B — load primary + routed secondary + ~4 exemplars + themes.md (substance bank); check the card's markers: gates (identity beats need gate keywords in the fact-sheet — marker budget ledger first); restyle the frozen facts (never re-derive); apply the naturalness floor (plainness quota: ≥1 in 3 sections marker-free). Long-form ≥1,200w: section-by-section with the ledger.
  4. Pass C — validate_voice.py diff (facts preserved) + tells (no AI tells, varied cadence) + density --facts (marker budgets + context gates — gate-missed identity beat / doubled sign-off = hard fail) + audit (--file for long docs).

Routing (by dominant JOB, not topic)

Job Lead Job Lead
Show a documented system (how-to / integration) helius Make macro/markets legible (economics, geo, psych) hayes
Derive a deep design from first principles vitalik Demystify — honest "X is just Y" hotz
Frame a broad interconnected thesis balaji Security / exploits helius or vitalik (never hotz)
Pure motivation / course-opener primary only + ≤1 guest

Each voice is a full backbone in its lane; lanes self-differentiate (no author-vs-author rules). Full router: skills/writer-style/profiles/kaue/ROUTING.md.

Always-apply rules

Agents

Task Agent Model
Draft/restyle a piece (facts-first 3-pass) voice-writer opus
Build/refresh a voice (adversarial, evidence-bound) persona-builder opus
Pass-C gate (facts diff + AI-tell lint + repetition audit) voice-validator sonnet

Commands

Command Purpose
/write-in-voice Draft/restyle in a pack's voice
/new-persona Build a new voice
/profile-corpus Regenerate builder-internal evidence + dials
/validate-voice Run audit / tells / density / diff
/calibrate-voice Empirical calibration round: regenerate the 8-brief matrix → owner rates → codify changes
/evolve-voice Evolution round: format-matrix mass-generation → adversarial panels → master board → empirical A/B → human gate → codify

Honest scope

Output is in the author's register, with AI tells engineered out and facts verified first — not an indistinguishable clone. The Kaue primary is calibrated from a small on-register sample (4 posts); fidelity is corpus-bounded and grows as more on-register writing is added. Lean on the exemplars and the naturalness floor; don't over-promise "it's exactly him."

Repository structure

.                     # repo root IS the plugin (.mcp.json, .claude/, tone-lora/ are local dev — gitignored)
├── README.md  ·  LICENSE  ·  CLAUDE.md
├── .claude-plugin/   plugin.json + marketplace.json (Claude Code plugin manifests)
├── package.json · bin/install.js   npm distribution (vendors into a project's .claude/) · .npmignore
├── skills/writer-style/        the self-contained skill — everything it reads lives in here
│   ├── SKILL.md (entry) · two-layer-model · writing-workflow (+long-form mode) · style-card-schema (+markers) · authoring-personas
│   ├── formats/      container contracts (x-post · x-thread · linkedin · blog · course-lesson · video-script · newsletter · community-announcement)
│   ├── method/       build refs: process-playbook · agent-prompts · craft-profile · primary-profile · quality-bar · routing-design
│   ├── profiles/kaue/  PACK.md · kaue.md(+card w/ markers) · themes.md (substance bank) · ROUTING.md · secondary/*
│   │                   · exemplars/* (16 primary) · evidence/* (builder-internal) · LESSONS.md (calibrated writing lessons)
│   ├── rules/        facts-first · naturalness (seams≠markers, plainness quota) · deslop · original-not-impersonation
│   ├── testbed/      8-brief eval matrix + check_round.py (empirical calibration harness, npm-excluded)
│   ├── evolution/    self-improvement engine: hyperparams · judges/ (adversarial lens charters) · briefs/ (16-piece
│   │                 format matrix) · research/ · EVOLUTION.md ledger (rounds/ gitignored; npm-excluded)
│   └── tools/        profile_corpus.py · style_lexicons.py · validate_voice.py (tells/density/audit/diff) · test_tools.py (pure-Python, no deps)
├── agents/           voice-writer · persona-builder · voice-validator
└── commands/         write-in-voice · new-persona · profile-corpus · validate-voice

Self-learning

Project-specific corrections → here. The corpus + the original research pipeline live in tone-lora/ (gitignored) (provenance; the LoRA lane is dead — you can't load a LoRA into a hosted model).