用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/flonat/claude-research --skill voice-editor命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
Use when you need to audit a research project against the init-project-research template.
Use when you need to validate a paper's bibliography — cross-references \cite{} keys against .bib files or embedded \bibitem entries, finds missing/unused/typo'd keys, and checks every key against the Paperpile library via the local resolver. Deep verification mode spawns parallel agents for DOI/metadata validation at scale. Fix mode rekeys drifted keys to canonical and stages missing entries for Paperpile.
Use when you need to bootstrap a full research project with directory scaffold and Overleaf symlink.
基于 SOC 职业分类
正在显示 SKILL.md
| name | voice-editor |
| description | "Use when you need to edit content to match a specific voice profile." |
Transform generic or auto-generated content into voice-matched writing using a VOICE.md profile. Voice doesn't live in first drafts — it lives in editing choices. This skill guides the multi-pass editing process that turns generic output into something distinctively yours.
Provide:
.context/voice/voice.md or project's .context/voice/voice.md)The skill will:
Even with a perfect style guide, expect to edit 30-40% of AI output to make it distinctively yours. This isn't a problem — it's the feature.
30-40% editing effort is dramatically less than 100% writing-from-scratch effort, while producing work that sounds more like you than unguided AI ever could.
If you're editing more than 50%: Your style guide needs refinement, or your prompts need work.
If you're editing less than 20%: You might be accepting too much generic content.
See references/editing-modes.md for mode selection (light, standard, heavy, rescue) and expected effort per mode.
Focus: Does the organization serve the content?
Questions to ask:
Actions:
Academic mode: Skip opening mechanics checks for papers — academic openings follow different conventions (context-gap-contribution is standard, not a flaw). Focus on logical flow between sections instead.
Focus: Does this sound like the voice profile?
Check against VOICE.md:
Actions:
Academic mode:
Focus: Eliminate AI tells and forbidden phrases
Scan for:
Actions:
Focus: Replace generic with specific
What to cut:
What to add:
Academic mode: Add specific claims with citations. Replace vague "the literature shows" with "Sant'Anna and Zhao (2020) show that...". Use precise terminology over accessible synonyms.
Focus: Does it read naturally aloud?
The read-aloud test:
Hemingway Principles:
Actions:
Focus: The ultimate test
Ask yourself: "Would someone who knows me recognize this as mine before seeing my name?"
If no:
If yes:
For edited content, provide:
## Edited Content
[Full edited content here]
---
## Edit Summary
**Passes completed:** 6/6
**Estimated edit percentage:** [X]%
**Voice match confidence:** [Low/Medium/High]
### Major Changes
1. [Most significant change and why]
2. [Second major change]
3. [Third major change]
### Slop Removed
- [List of AI patterns found and removed]
### Voice Elements Added
- [List of voice-specific additions]
### Remaining Concerns
- [Any areas that still feel off]
- [Suggestions for further refinement]
### VOICE.md Update Suggestions
- [Patterns discovered that should be added to voice profile]
- [Phrases that worked well — consider adding to "use freely" list]
See references/common-problems.md for diagnosis and fix guides: too formal, too uniform, too hedged, too balanced, voice drift.
Before voice-editor:
/voice-analyzer to create VOICE.md (if none exists)After voice-editor:
Quick workflow (already clean content):
[Draft] → voice-editor (light mode) → [Final]
Heavy workflow (generic AI output):
Editing is complete when:
The ultimate test: Would someone who knows the author recognize this as theirs before seeing the name?
The style guide gives AI direction — it helps produce output closer to your voice than generic defaults. Your editing gives the work your actual voice — the quirks, opinions, personality, and rough edges that make it distinctively yours.
This is why "zero effort" AI fails. The promise of finished content without touching it misunderstands what makes writing valuable. Effort isn't the enemy. Wasted effort is.
You're redirecting effort from blank-page generation to voice-preservation editing. That redirection is the entire point.