Skip to content
Back to skills

Cell Deep Writer

ASecurity

Adaptive deep-writing workflow for all forms of deep content creation in Chinese, including turning transcripts and note piles into articles, deepening rough drafts, or writing structured long-form content from a topic, thesis, question, or outline. Use when Codex needs to clarify audience and purpose, build a brief, extract or construct a sound argument structure, merge repeated ideas, design an outline before drafting, deepen analysis, preserve source logic when needed, or deliver writing t...

  • 11 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added September 10, 2026
businessgorailsgit

Security analysis

A100/100

Pro scans all 9 files and shows the line behind each finding

Scanned September 10, 2026

npx -y skills add luokai0/ai-agent-skills-by-luo-kai --skill cell-deep-writer --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Cell Deep Writer?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Cell Deep Writer
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/luokai0-cell-deep-writer/badge)](https://www.skillsdirectory.com/skills/luokai0-cell-deep-writer)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: deep-writer
description: Adaptive deep-writing workflow for all forms of deep content creation in Chinese, including turning transcripts and note piles into articles, deepening rough drafts, or writing structured long-form content from a topic, thesis, question, or outline. Use when Codex needs to clarify audience and purpose, build a brief, extract or construct a sound argument structure, merge repeated ideas, design an outline before drafting, deepen analysis, preserve source logic when needed, or deliver writing through staged checkpoints instead of a one-shot article.
metadata: {"openclaw":{"homepage":"https://github.com/cellinlab/cell-skills/tree/main/skills/deep-writer"}}
---

# Deep Writer

## Overview

Handle deep content writing in three common modes:

- source-driven: turn transcripts, notes, interviews, or messy drafts into strong articles
- draft-deepening: take an existing article or outline and make it deeper, clearer, and more complete
- topic-driven: write a deep piece from a topic, thesis, question, angle, or user idea

Default to pausing for user confirmation after analysis and structure unless the user explicitly asks for one-pass output.

## Quick Start

1. Choose the writing mode before doing anything else.
2. Infer the audience, scenario, purpose, and stance before drafting.
3. Complete Stage 1 before writing the article body.
4. Lock Stage 2 before expanding long-form prose.
5. Run the final draft against the brief and the quality checklist.

If the user only wants a brief, outline, or structural diagnosis, stop at the relevant stage instead of forcing a full article.

## Default Contract

Treat these as the default assumptions unless the user says otherwise:

- Required: either source material, or a topic / thesis / question / outline to write from
- Optional: supporting materials, target audience, publication scenario, stance, length, depth, tone, and style
- Default mode selection:
  - source-driven for transcripts, notes, interviews, speeches, and fragmented material
  - draft-deepening for rough drafts, partial articles, and existing outlines
  - topic-driven for requests that start from a theme, thesis, question, or desired article idea
- Default language: Chinese
- Default goal: formal publishable writing, not chat-style rewriting
- Default structure policy:
  - source-driven: preserve the source's macro frame and allow only micro-adjustments
  - draft-deepening: keep the strongest existing frame, then strengthen weak or thin sections
  - topic-driven: design the best-fit structure around the brief and thesis
- Default process: wait for confirmation after Stage 1 and Stage 2

If the user provides an already-approved outline, treat it as Stage 2 input and move to Stage 3 after a lightweight brief alignment.

## Workflow

### Stage 1: Analysis and Planning

Perform all of the following before drafting:

- identify the writing mode
- identify the likely audience, scenario, purpose, and stance
- build a brief using `assets/brief-template.md`
- do the relevant analysis for the mode:
  - source-driven: preprocess spoken-language noise, repetitions, and fragmentary clauses
  - draft-deepening: identify weak logic, thin sections, repeated claims, and missing support
  - topic-driven: clarify the central question, working thesis, key angles, and likely counterpoints
- extract viewpoint units, argument units, or section units and cluster overlapping ideas
- explain the main logic relations or argument chain

Output at least:

- the brief
- mode diagnosis
- preprocessing notes or argument notes
- viewpoint clusters or argument clusters
- logic chain or logic graph summary
- open questions, evidence gaps, or assumptions when they materially affect the piece
- updated todo status
- a confirmation prompt for the next stage

Read [references/workflow.md](references/workflow.md) when the material is fragmented, the thesis is still fuzzy, or the structure is not yet obvious.

### Stage 2: Structure Design

Use the accepted Stage 1 output to design the writing frame.

Do all of the following:

- choose the right structure rule for the mode:
  - source-driven: preserve the source's core framework unless the user explicitly requests a rewrite
  - draft-deepening: keep the strongest existing structure, but rebuild weak branches when the draft cannot support the thesis
  - topic-driven: build the strongest structure around the thesis, reader, and scenario
- merge duplicate sections or overlapping arguments
- decide section order with the minimum necessary reordering in source-driven mode, or the clearest reader path in topic-driven mode
- assign each section a clear job, not just a title
- explain which parts were kept and which parts were adjusted

Use `assets/outline-template.md` when the user wants a reusable structure blueprint.

Output at least:

- the optimized structure
- the role of each section
- notes on preserved versus adjusted structure
- updated todo status
- a confirmation prompt for the next stage

### Stage 3: Content Writing

Write the full article only after the structure is locked.

Do all of the following:

- follow the accepted structure instead of improvising a new one
- deepen claims with relevant background, mechanisms, examples, or implications
- remove transcript residue and spoken fillers when they exist
- keep the author's core meaning intact in source-driven mode
- keep the improved version aligned with the original draft's intended thesis in draft-deepening mode
- keep the thesis coherent and non-repetitive in topic-driven mode
- finish with a quality-check summary

Read [references/quality-bar.md](references/quality-bar.md) before finalizing the draft.

## Output Format

Use the staged wrapper in `assets/stage-output-template.md` unless the user requested another format.

Default wrapper:

```text
【阶段X完成】

---
【本阶段输出】
[stage output]

---
【待办事项状态】
- [completed] 第一阶段:分析与规划
- [pending] 第二阶段:结构设计
- [pending] 第三阶段:内容撰写

---
是否继续下一阶段?(输入“继续”进入下一阶段,或提出修改意见)
```

For the final stage, replace the confirmation prompt with a short quality-check summary.

## Hard Rules

Do not:

- invent unsupported facts, data, case details, or quotations
- invent a new central thesis that is absent from the source material in source-driven mode
- radically rebuild the structure after Stage 2 is accepted
- keep obvious duplicate viewpoints in separate sections
- add generic filler that does not deepen the reader's understanding
- distort the source's stance in order to sound smoother or more authoritative
- pretend a topic-driven article is well evidenced if the user did not supply evidence and none is available

Always:

- choose the mode explicitly when the request is ambiguous
- make the logic chain visible
- distinguish source viewpoints from supplemental interpretation when that boundary matters
- keep the brief as the baseline for structure and drafting decisions
- state assumptions when the user did not provide audience, scenario, or stance

## Resource Map

- [references/workflow.md](references/workflow.md)
  - Read for mode selection, the full stage checklist, clustering heuristics, topic-driven argument design, one-shot mode, and failure recovery.
- [references/quality-bar.md](references/quality-bar.md)
  - Read for the final review checklist, spoken-language cleanup rules, topic-writing quality rules, and over-expansion guardrails.
- [assets/brief-template.md](assets/brief-template.md)
  - Use when drafting the stage-one brief.
- [assets/outline-template.md](assets/outline-template.md)
  - Use when presenting or locking a reusable structure blueprint.
- [assets/stage-output-template.md](assets/stage-output-template.md)
  - Use when formatting staged outputs and todo-state updates.

Files in this skill

  • .clawhub/origin.json148 B
  • SKILL.md7.7 KB
  • _meta.json135 B
  • agents/openai.yaml352 B
  • assets/brief-template.md1.2 KB
  • assets/outline-template.md960 B
  • assets/stage-output-template.md831 B
  • references/quality-bar.md3.5 KB
  • references/workflow.md7.4 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.