Claude-night-market voice-review

Dispatch parallel prose and craft review agents on generated

install
source · Clone the upstream repo
git clone https://github.com/athola/claude-night-market
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/athola/claude-night-market "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/scribe/skills/voice-review" ~/.claude/skills/athola-claude-night-market-voice-review && rm -rf "$T"
manifest: plugins/scribe/skills/voice-review/SKILL.md
source content

Voice Review Skill

Dispatch dual review agents and present unified findings.

Method: Parallel Dual-Gate Review

Two agents run in parallel on the generated text:

  1. Prose reviewer: AI patterns, banned phrases, voice drift
  2. Craft reviewer: Naming, destinations, dwelling, devices, anchoring

Hard failures (banned phrases, em dashes) are auto-fixed. Everything else returns as advisory tables for user decision.

Required TodoWrite Items

  1. voice-review:text-loaded
    - Generated text read
  2. voice-review:register-loaded
    - Voice register loaded
  3. voice-review:agents-dispatched
    - Both reviewers launched
  4. voice-review:hard-fails-fixed
    - Auto-corrections applied
  5. voice-review:advisories-presented
    - Tables shown to user

Step 1: Load Context

Read:

  • The generated text (from file or clipboard)
  • The active voice register
  • The banned phrases list

Step 2: Dispatch Review Agents

Launch both agents in parallel:

Agent(prose-reviewer):
  - text: {generated_text}
  - register: {register_content}
  - banned_phrases: {banned_list}

Agent(craft-reviewer):
  - text: {generated_text}
  - register: {register_content}

Step 3: Process Results

Hard Failures

Apply all auto-fixes from prose reviewer silently:

  • Remove/replace banned phrases
  • Replace em dashes with appropriate punctuation
  • Rewrite negation-correction patterns

Report: "Fixed N hard failures (X banned phrases, Y em dashes, Z patterns)"

Advisory Tables

Present both tables to the user:

Prose Review Advisories:

#LinePatternCurrentProposed fix

Craft Review:

DimensionRatingNotesProposed improvement

Step 4: User Decision

For each advisory row, user can:

  • Accept (a): Apply the proposed fix
  • Reject (r): Keep the current text
  • Rewrite (w): Apply a custom fix

Present as:

[1] Prose: Frictionless transition at "Furthermore, the..."
    Proposed: Cut transition, start mid-thought
    [a]ccept / [r]eject / re[w]rite?

Step 5: Apply Decisions

  • Apply accepted fixes to the text
  • Skip rejected items
  • For rewrites, incorporate user's version
  • Save final text

Step 6: Snapshot (if learning active)

If the user has learning mode enabled:

  • Save "post-review" snapshot (text after hard-fail fixes, before user decisions on advisories)
  • Save "post-fixes" snapshot (text after user decisions)
  • Both go to
    ~/.claude/voice-profiles/{name}/learning/snapshots/

Integration with voice-generate

When dispatched from voice-generate, the flow is:

  1. voice-generate produces text
  2. voice-generate calls voice-review
  3. voice-review dispatches agents, processes results
  4. User makes decisions on advisories
  5. If learning mode: snapshots saved for later comparison

Standalone Usage

Can also be run on any existing text:

/voice-review path/to/file.md --profile myvoice --register casual

Exit Criteria

  • Both review agents returned results
  • Hard failures auto-fixed
  • Advisory tables presented to user
  • User decisions applied
  • Final text saved
  • Snapshots saved (if learning mode)