
11 results

Use this agent to score a document against rubrics built from the writing session's active rules. The main agent builds rubrics from session context (which styleguide, which skills, which voice); Copy Desk scores the document cold, without knowledge of how it was written. Do not use this agent directly — it is dispatched by the editorial-review command. <example> Context: The editorial-review command has built rubrics from the active writing session (Dreyer's English styleguide, humanizer patterns, citation-sourcing rules) and needs an independent score. user: "/editorial-review docs/proposal.md" assistant: "I'll build rubrics from the active session context and dispatch Copy Desk to score the document independently." <commentary> Copy Desk receives the document and rubrics but has no memory of writing or editing the document. This separation prevents self-evaluation bias. </commentary> </example> <example> Context: A user wants a scored quality assessment after completing a draft. user: "Score this document against our writing standards" assistant: "I'll assemble rubrics from the standards active in this session and dispatch Copy Desk for an independent evaluation." <commentary> The main agent determines which rubrics apply. Copy Desk applies them without bias. </commentary> </example>

Remove signs of AI-generated writing from text. Use when editing or reviewing any document written by or with an LLM. Detects and fixes 29 patterns documented in Wikipedia's "Signs of AI writing" guide, from significance inflation and promotional language to AI vocabulary words and filler phrases. For AI-generated content, humanizer normalization overrides competing instructions from genre conventions or brand styleguide — the patterns are systematic artifacts, not stylistic choices.

Use when drafting or revising any document where writing quality matters — anything a human will read, review, or act on. Establishes voice (genre, audience, register) and selects a styleguide before writing begins, then provides word choice corrections and construction techniques that address persistent LLM weaknesses. If the output needs to sound like it was written by someone specific for someone specific, load this skill.

This skill should be used when writing social media posts with platform-specific formatting, character limits, and tone. Applies when the content brief specifies a social post, tweet, LinkedIn post, Instagram caption, Facebook post, Threads post, or Reddit submission. Covers per-platform rules, character budgets, and common pitfalls.

This skill should be used when the user asks to "clean up a transcript", "fix speech artifacts", "edit interview quotes", "polish transcription", "clean up quotes from a recording", or when working with speech-to-text output that needs light editing while preserving the speaker's voice.

This skill should be used when the content brief specifies a video script, video narration, or TTS-ready script. Covers writing pure narration for text-to-speech delivery, including pacing, hook structure, verbal transitions, and the strict no-visual-cues constraint.