Report
microsoft/data-formulator
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded…
Content atomization skill used by the source analyst and presentation builder.
Install Content Atomization
$ npx skills add revfactory/harness-100 --skill content-atomization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/04-content-repurposer/.claude/skills/content-atomization .claude/skills/content-atomization && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/en/04-content-repurposer/.claude/skills/content-atomization into .claude/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/revfactory/harness-100/tree/main/en/04-content-repurposer/.claude/skills/content-atomizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add revfactory/harness-100 --skill content-atomization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/04-content-repurposer/.claude/skills/content-atomization .agents/skills/content-atomization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/en/04-content-repurposer/.claude/skills/content-atomization into .agents/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill content-atomization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/04-content-repurposer/.claude/skills/content-atomization .cursor/skills/content-atomization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/en/04-content-repurposer/.claude/skills/content-atomization into .cursor/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/revfactory/harness-100.git --path en/04-content-repurposer/.claude/skills/content-atomization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add revfactory/harness-100 --skill content-atomization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/04-content-repurposer/.claude/skills/content-atomization .gemini/skills/content-atomization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/en/04-content-repurposer/.claude/skills/content-atomization into .gemini/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install revfactory/harness-100 content-atomizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add revfactory/harness-100 --skill content-atomization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/04-content-repurposer/.claude/skills/content-atomization .github/skills/content-atomization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/en/04-content-repurposer/.claude/skills/content-atomization into .github/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill content-atomization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/04-content-repurposer/.claude/skills/content-atomization .opencode/skills/content-atomization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/en/04-content-repurposer/.claude/skills/content-atomization into .opencode/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
content-atomization- GitHub stars
- 1.3k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 466 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Content atomization skill used by the source analyst and presentation builder.
- Content decomposition
- SKILL.md covers Why Atomization?, Content Atom Classification…, Source Analysis Process: The… and Presentation Conversion Formula, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Similar requests
What it does
Content Atomization is an agent skill from revfactory/harness-100. Content atomization skill used by the source analyst and presentation builder. Provides methodology for breaking a single piece of content into its smallest units and recombining them for maximum conversion efficiency. Use for 'content decomposition,' 'atomization,' 'key extraction,' 'recombination,' and similar requests.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Writing & Content, covering Slides and decks. The licence is Apache-2.0.
When your agent uses it
- Content decomposition
- Similar requests
Example prompts
- “content decomposition,”
- “atomization,”
- “key extraction,”
- “/content-atomization”
What it can do on your machine
Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Content Atomization loads about 1.3k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 466 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 466 words, ~1,251 tokens.
Download SKILL.mdSave it as
.claude/skills/content-atomization/SKILL.md (or your agent's skills folder).- name
- content-atomization
- description
- Content atomization skill used by the source analyst and presentation builder. Provides methodology for breaking a single piece of content into its smallest units and recombining them for maximum conversion efficiency. Use for 'content decomposition,' 'atomization,' 'key extraction,' 'recombination,' and similar requests.
Content Atomization — Content Atomization Methodology
Specialist content decomposition knowledge used by the source-analyst and presentation-builder agents when analyzing sources and developing conversion strategies.
Why Atomization?
Repurposing is not "rewriting the same thing." It's breaking the source into atomic units and recombining them for each platform. A 2,000-word blog post can yield 30+ independent content pieces.
Content Atom Classification System
| Atom Type | Definition | Extraction Example | Convertible Formats |
|---|---|---|---|
| Claim | A verifiable assertion | "Remote work increases productivity by 13%" | Tweet, card, slide |
| Data | Numbers, statistics, ratios | "2024 AI market size: $184B" | Infographic, chart, tweet |
| Story | Person/event-based narrative | "Company A's transformation case" | Thread, carousel, video script |
| Process | Step-by-step methodology | "5-step OKR setting method" | Guide, carousel, checklist |
| Quote | Citations, aphorisms | "'Failure is the mother of success'" | Text card, tweet, slide |
| Question | Thought-provoking questions | "What time is your team most productive?" | Poll, comment prompt, opening |
| Contrast | Comparisons | "Traditional vs. Agile methodology" | Comparison table, carousel, infographic |
| Definition | Concept definitions | "What is OKR?" | Educational content, slide, short-form |
Source Analysis Process: The MINE Framework
M — Map (Structure Mapping)
Visually map the source's structure:
Source Content
├── Introduction
│ ├── [Claim] Core assertion
│ └── [Data] Supporting data
├── Body 1
│ ├── [Definition] Concept definition
│ ├── [Process] Methodology
│ └── [Story] Case study
├── Body 2
│ ├── [Contrast] Comparative analysis
│ ├── [Data] Statistics
│ └── [Quote] Expert citation
└── Conclusion
├── [Claim] Final assertion
└── [Question] Question for the readerI — Identify (Core Atom Identification)
Assign a reuse value score to each atom:
| Criterion | Weight | Description |
|---|---|---|
| Independence | 30% | Does it make sense without context? |
| Emotional Response | 25% | Does it trigger surprise/empathy/outrage? |
| Shareability | 25% | Is it information worth passing along? |
| Visualizability | 20% | Can it be expressed as a graph/image? |
N — Negotiate (Conversion Priority)
Set conversion priority by reuse value score:
- Top 20%: Convert for all platforms (core messages)
- Middle 50%: Convert for 2–3 suitable platforms
- Bottom 30%: Keep in blog/long-form only, skip short-form conversion
Show full SKILL.md (209 more words)Show less
E — Extend (Augmentation)
Add elements not in the source but needed for conversion:
- Visual assets: If the source is text-only, add charts/diagrams
- Personalization: If the source is objective, add experience/opinion layers
- Action items: If the source is analytical, add actionable steps
- Updates: If the source has outdated data, replace with current information
Presentation Conversion Formula
Slide Count Estimation
Recommended slides = (Presentation time in minutes × 1.5) + 3
- +3: Cover (1) + Table of Contents (1) + Q&A (1)
- ×1.5: ~40 seconds per slideSlide Type Templates
| Type | Text Amount | Visual Ratio | Use Case |
|---|---|---|---|
| Title | Title + subtitle | 100% background image | Section dividers |
| Key Message | 1 sentence | 70% | Core claim emphasis |
| Data | Labels only | 80% chart/graph | Statistics, comparisons |
| Process | Step names only | 70% flowchart | Methodology, steps |
| Comparison | 2-column table | 50% | A vs B |
| Quote | Quote + source | Speaker image | Authority/emotion |
| Story | 3–4 sentences | 50% related image | Cases, anecdotes |
The 1:10:30 Rule
- 1 core message: The single claim the entire presentation delivers
- 10 or fewer supporting points: Arguments backing the core message
- 30 minutes or less: Attention limit (beyond this, interactive breaks are mandatory)
Conversion Efficiency Metrics
| Source Type | Expected Atoms | Expected Derivative Content |
|---|---|---|
| 2,000-word blog | 15–25 | 8 tweets + 2 carousels + 15 slides + 3 short-form |
| 5,000-word report | 30–50 | 3 blogs + 5 carousels + 25 slides + 2 newsletters |
| 30-min interview | 20–30 | 5 clips + 10 tweets + 1 blog + 3 carousels |
| 60-min talk | 40–60 | 3 blogs + 5 carousels + 15 tweets + 2 newsletters |
© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in en/04-content-repurposer/.claude/skills/content-atomization of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Content Atomization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Content Atomization this skillrevfactory/harness-100 | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Reportmicrosoft/data-formulator | 18k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Blog Cover Posterdigoal/blog | 8.6k | — | ~1.4k | Automated safety check: Pass | GPL-2.0 | |
| Brand Voice Generatorcoleam00/second-brain-skills | 832 | — | ~2.5k | Automated safety check: Pass | None | |
| Post AcceptanceGalaxy-Dawn/claude-scholar | 5.7k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Repurpose InstagramAgriciDaniel/claude-repurpose | 155 | — | ~1.7k | Automated safety check: Pass | MIT |
Similar skills
- Official
Blog Cover Poster
digoal/blog
Turn a blog post, article, notes, or any source material into a set of vertical poster images — one cover plus several coherent content slides that explain the core points.
Brand Voice Generator
coleam00/second-brain-skills
Generate tone-of-voice and brand-system files for use with the PPTX Generator and other brand-aware skills.
Post Acceptance
Galaxy-Dawn/claude-scholar
This skill should be used when the user asks to "prepare conference presentation", "create presentation slides", "design poster", "make academic poster", "write promotion content", "create Twitter…
Repurpose Instagram
AgriciDaniel/claude-repurpose
Generates Instagram content from content atoms: carousel slide scripts (7-10 slides), captions optimized for the 125-character fold, and reel scripts with hook-first structure.
Repurpose Linkedin
AgriciDaniel/claude-repurpose
Generates LinkedIn content from content atoms: text posts with hook-first formatting, PDF carousel slide scripts (10-12 slides), and strategic polls.
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Related
Questions about Content Atomization
What does Content Atomization do?
Content atomization skill used by the source analyst and presentation builder. Content Atomization is an agent skill from revfactory/harness-100. Content atomization skill used by the source analyst and presentation builder.
When should I use Content Atomization?
Content Atomization fits situations like: content decomposition; similar requests.
How do I install Content Atomization in Claude Code?
Run `npx skills add revfactory/harness-100 --skill content-atomization -a claude-code`. Or copy the skill folder (en/04-content-repurposer/.claude/skills/content-atomization in revfactory/harness-100) into .claude/skills/content-atomization in your project. Claude Code loads it when a task matches its description.
How do I install Content Atomization in Codex?
Run `npx skills add revfactory/harness-100 --skill content-atomization -a codex`. Or copy the skill folder (en/04-content-repurposer/.claude/skills/content-atomization in revfactory/harness-100) into .agents/skills/content-atomization in your project. Codex loads it when a task matches its description.
Can I use Content Atomization in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill content-atomization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-atomization, .gemini/skills/content-atomization, .github/skills/content-atomization and .opencode/skills/content-atomization in your project.
What does Content Atomization need to run?
SKILL.md names no scripts, command-line tools or credentials: Content Atomization is instructions for the agent only.
Does Content Atomization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Content Atomization safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Content Atomization use?
Content Atomization is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Content Atomization use?
About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Content Atomization?
Skills that share tags, products or a category with Content Atomization: Report (microsoft/data-formulator, 18k stars), Blog Cover Poster (digoal/blog, 8.6k stars), Brand Voice Generator (coleam00/second-brain-skills, 832 stars) and Post Acceptance (Galaxy-Dawn/claude-scholar, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content Atomization?
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.