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SKILL verified MIT Self-run

Voice Discovery

skill-tchr-dev-autonovel-voice-discovery · by tchr-dev

Discover the voice for a specific novel during the foundation phase. Writes 3-5 trial passages in different registers, evaluates which best serves the world and tone, then fills in voice.md Part 2 with the chosen register, exemplars, and anti-exemplars.

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Install

$ agentstack add skill-tchr-dev-autonovel-voice-discovery

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Voice discovery

The voice should feel like it BELONGS in the world. Le Guin's insight: in fantasy, the language creates the world, not just describes it. A novel about salt-flat priests does not sound like a novel about a tide-bound port city.

Inputs (from /)

  • seed.txt, world.md, characters.md
  • voice.md (template — Part 1 guardrails are already filled; you fill Part 2)

Reference: framework/voice-guardrails.md (Tier 1/2/3 banned words and structural slop patterns — these apply to ALL voices, regardless of which register you choose).

Procedure

Step 1 — propose 3-5 candidate registers

Based on the world and characters, list candidate voices the novel could have. Examples (do not just pick from these — invent for the specific novel):

  • Mythic and weighty — like stone tablets being read aloud. Long sentences. Latinate vocabulary. Clauses that echo psalms.
  • Spare and cold — sentences like knife cuts. Anglo-Saxon vocabulary. Short paragraphs. Heavy white space.
  • Warm and breathless — like a traveller telling stories by firelight. Run-on sentences. Colloquial register. Sensory rushes.
  • Dry and ironic — flat affect. Dark humour. Subtext does the heavy lifting.
  • Childlike-strange — present tense, unreliable register, fairy-tale syntax.
  • Reportorial / forensic — emotionally restrained, observational, precise to the level of measurement.

Pick three to five candidates that fit THIS world.

Step 2 — write a trial passage in each register

For each candidate, write a ~150-word scene from the novel. Same scene every time so registers are directly comparable. Pick a scene that touches the world's specifics — magic in use, a key location, a character speaking. Save the trial passages to /voice_trials.md.

Step 3 — evaluate

For each trial passage, list:

  • What it achieves
  • What it costs
  • What kind of novel it implies
  • Which audience it fits
  • Whether it inherits any AI-tells from framework/voice-guardrails.md

Pick the register that best serves the story. Justify in 2-3 sentences.

Step 4 — fill voice.md Part 2

Edit /voice.md. Below the ## Part 2: Voice Identity heading, fill in:

### Tone

### Sentence Rhythm

### Vocabulary Register

### POV and Tense

### Dialogue Conventions

### Exemplar Passages

### Anti-Exemplars

Hard rules

  • The exemplars must be SPECIFIC to the novel — they reference characters, locations, magic that exist in world.md / characters.md.
  • The anti-exemplars must be SPECIFIC too. "Too flowery" alone is not enough — show a flowery passage that's wrong for THIS novel.
  • The voice must avoid the universal Tier 1/2/3 slop in framework/voice-guardrails.md. Even the most baroque voice should not say "delve" or "tapestry."

After writing

Tell the user which register won and why. Suggest running evaluate-foundation to score the planning docs as a whole.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.