User-Facing Text Cleanup
guillaumemeyer/watermarks-remover
Audits prose for invisible Unicode characters and rewrites it while keeping facts, citations, code and required disclosures unchanged and the writer's voice intact.
Produce readable vertical shorts with evidence-based B-roll, three opening treatments, editorial review, and authorized Metricool API delivery.
Install Shortform Production
$ npx skills add ericosiu/ai-marketing-skills --skill shortform-production -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ericosiu/ai-marketing-skills shortform-production --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/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/shortform-production .claude/skills/shortform-production && 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 "shortform-production" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-production into .claude/skills/shortform-production/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortform-production", 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/ericosiu/ai-marketing-skills/tree/main/shortform-productionType 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 ericosiu/ai-marketing-skills --skill shortform-production -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ericosiu/ai-marketing-skills shortform-production --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/shortform-production .agents/skills/shortform-production && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "shortform-production" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-production into .agents/skills/shortform-production/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortform-production", 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 ericosiu/ai-marketing-skills --skill shortform-production -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ericosiu/ai-marketing-skills shortform-production --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/shortform-production .cursor/skills/shortform-production && 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 "shortform-production" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-production into .cursor/skills/shortform-production/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortform-production", 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/ericosiu/ai-marketing-skills.git --path shortform-production--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 ericosiu/ai-marketing-skills --skill shortform-production -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ericosiu/ai-marketing-skills shortform-production --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/shortform-production .gemini/skills/shortform-production && 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 "shortform-production" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-production into .gemini/skills/shortform-production/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortform-production", 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 ericosiu/ai-marketing-skills shortform-productionInstalls 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 ericosiu/ai-marketing-skills --skill shortform-production -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/shortform-production .github/skills/shortform-production && 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 "shortform-production" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-production into .github/skills/shortform-production/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortform-production", 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 ericosiu/ai-marketing-skills --skill shortform-production -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ericosiu/ai-marketing-skills shortform-production --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ericosiu/ai-marketing-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/shortform-production .opencode/skills/shortform-production && 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 "shortform-production" agent skill from https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-production into .opencode/skills/shortform-production/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shortform-production", 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
shortform-production- GitHub stars
- 3.6k
- Token cost
- ~701 tokens
- SKILL.md length
- 286 words
- Files
- 18 (incl. scripts, references)
- Skills in repo
- 21
- Repo updated
- First seen
- Licence
- MIT
At a glance
Produce readable vertical shorts with evidence-based B-roll, three opening treatments, editorial review, and authorized Metricool API delivery.
- Works in 5 steps: Edit: Read V5 style and creative… → Experiment: Produce three opening… → Review: Read the bundled rubric, judge… → …
- Shortform edits
- SKILL.md covers Preamble, Choose the work and Deliver
- Runs Python scripts from its folder; calls python3
What it does
Shortform Production is an agent skill from ericosiu/ai-marketing-skills. Produce readable vertical shorts with evidence-based B-roll, three opening treatments, editorial review, and authorized Metricool API delivery. Use for shortform edits, captions, hook experiments, or scheduling approved clips.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `profile.example.json`).
It sits in Writing & Content, covering Copy editing and proofreading. The repository describes itself as: Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation. The licence is MIT.
When your agent uses it
- Shortform edits
- Hook experiments
- Scheduling approved clips
Example prompts
- “/shortform-production”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Edit: Read V5 style and creative formats. Use the named source and timestamped transcript. Preserve credentials, claim qualifiers, natural…
- Experiment: Produce three opening treatments for one clip. Choose one before rendering the full edit unless complete variants were…
- Review: Read the bundled rubric, judge prompt, reference requirements, and scorecard schema. Apply review requirements. Report missing…
- Caption or delivery: Read API delivery. Inspect the actual final video and CTA. Do not re-render an approved upload to match production…
- Results: Read review and learning. Record missing metrics as null. One post cannot establish a winning style.
What it can do on your machine
Read from SKILL.md and the folder at commit 8088e1a. 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
Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Shortform Production loads about 701 tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 286 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); the scripts in this folder are not scanned.
SKILL.md
The full file from ericosiu/ai-marketing-skills at commit 8088e1a, republished under its MIT licence (© ericosiu). 286 words, ~701 tokens.
Download SKILL.mdSave it as
.claude/skills/shortform-production/SKILL.md (or your agent's skills folder). This skill also uses 17 other files; get the full folder from GitHub.- name
- shortform-production
- description
- Produce readable vertical shorts with evidence-based B-roll, three opening treatments, editorial review, and authorized Metricool API delivery. Use for shortform edits, captions, hook experiments, or scheduling approved clips.
Shortform Production
Keep the visual style consistent. Change the storytelling to suit the source. An experiment is a hypothesis, not a proven retention gain.
Preamble
When available, use the repository's version check and telemetry initializer:
python3 telemetry/version_check.py 2>/dev/null || true
python3 telemetry/telemetry_init.py 2>/dev/null || trueRemote telemetry requires opt-in. Never log content, paths, account details, or credentials.
Choose the work
- Edit: Read V5 style and creative formats. Use the named source and timestamped transcript. Preserve credentials, claim qualifiers, natural speech, and the CTA. Inventory real assets before designing inserts. Use an available renderer; this package supplies editorial rules and delivery tools.
- Experiment: Produce three opening treatments for one clip. Choose one before rendering the full edit unless complete variants were requested. Do not automatically publish near-duplicates.
- Review: Read the bundled rubric, judge prompt, reference requirements, and scorecard schema. Apply review requirements. Report missing evidence; never invent a score.
- Caption or delivery: Read API delivery. Inspect the actual final video and CTA. Do not re-render an approved upload to match production defaults. Use the API for Metricool.
- Results: Read review and learning. Record missing metrics as null. One post cannot establish a winning style.
Installation does not authorize publishing, new accounts, automations, purchases, or public releases. Existing explicit task authorization is sufficient; do not ask twice.
Deliver
Include artifacts relevant to the requested mode: source hash and transcript; claims and asset provenance; hook hypothesis and shot list; versioned master and SRT; cover, title, caption and CTA; review evidence; verified delivery receipt; and supported performance observations.
Keep credentials and private receipts outside the repository. Preserve raw media and previous renders. Report review candidate, scheduled, publishing, or published only with matching evidence.
Use the next-batch plan to turn these rules into a production cycle.
© ericosiu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 17 other files (scripts, references) in shortform-production of ericosiu/ai-marketing-skills.
- SKILL.md
- .gitignore
- README.md
- agents/openai.yaml
- profile.example.json
- references/creative-formats.md
- references/eval/judge-prompt.md
- references/eval/references.json
- references/eval/rubric.json
- references/eval/scorecard.schema.json
- references/metricool.md
- references/next-batch.md
- references/review-and-learning.md
- references/v5-style.md
- requirements.txt
- scripts/metricool.py
- tests
- … and 1 more
Open the folder on GitHubat commit 8088e1a
Compare with similar skills
Shortform Production 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 |
|---|---|---|---|---|---|---|
| Shortform Production this skillericosiu/ai-marketing-skills | 3.6k | — | ~701 | Automated safety check: Pass | MIT | |
| User-Facing Text Cleanupguillaumemeyer/watermarks-remover | 24k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Story Multi-Perspective Reviewzenstory-ai/oh-story-claudecode | 7.4k | 3 repos | ~3k | Automated safety check: Pass | MIT | |
| Chinese Text Humanizerop7418/Humanizer-zh | 19k | — | ~2k | Automated safety check: Pass | MIT | |
| Baoyu TranslateJimLiu/baoyu-skills | 27k | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Natural Japanese Business Writingcoji/natural-japanese | 1.9k | — | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Story Multi-Perspective Review
zenstory-ai/oh-story-claudecode
Reviews Chinese web-novel text with several reviewer agents in parallel, falling back to a single-agent pass, and reports structure, character, prose and setting problems with fixes.
Chinese Text Humanizer
op7418/Humanizer-zh
Edits Chinese articles, comments and documents to remove filler, repetition and template phrasing while keeping the facts, the level of certainty and the author's voice.
Baoyu Translate
JimLiu/baoyu-skills
Translates articles and files in quick, normal or refined mode, with a custom glossary, saved preferences and a review-and-polish workflow for publication quality.
Natural Japanese Business Writing
coji/natural-japanese
Writes and edits Japanese business documents so they read clearly and naturally, removes AI-sounding phrasing and can score how AI-like a text reads.
Defensive Writing Editor
lennney/stop-that-shit
Cuts defensive disclaimers, stacked hedging and self-protective narration from proposals and summaries, keeping only limits that affect the reader's decision.
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Categories
Questions about Shortform Production
What does Shortform Production do?
Produce readable vertical shorts with evidence-based B-roll, three opening treatments, editorial review, and authorized Metricool API delivery. Shortform Production is an agent skill from ericosiu/ai-marketing-skills. Produce readable vertical shorts with evidence-based B-roll, three opening treatments, editorial review, and authorized Metricool API delivery.
When should I use Shortform Production?
Shortform Production fits situations like: shortform edits; hook experiments; scheduling approved clips.
How do I install Shortform Production in Claude Code?
Run `npx skills add ericosiu/ai-marketing-skills --skill shortform-production -a claude-code`. Or copy the skill folder (shortform-production in ericosiu/ai-marketing-skills) into .claude/skills/shortform-production in your project. Claude Code loads it when a task matches its description.
How do I install Shortform Production in Codex?
Run `npx skills add ericosiu/ai-marketing-skills --skill shortform-production -a codex`. Or copy the skill folder (shortform-production in ericosiu/ai-marketing-skills) into .agents/skills/shortform-production in your project. Codex loads it when a task matches its description.
Can I use Shortform Production 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 ericosiu/ai-marketing-skills --skill shortform-production -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shortform-production, .gemini/skills/shortform-production, .github/skills/shortform-production and .opencode/skills/shortform-production in your project.
What does Shortform Production need to run?
Going by SKILL.md and its folder, Shortform Production needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Shortform Production 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 Shortform Production 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Shortform Production use?
Shortform Production is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Shortform Production use?
About 701 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.4k tokens, read only when the agent opens those files.
What are the alternatives to Shortform Production?
Skills that share tags, products or a category with Shortform Production: User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars), Story Multi-Perspective Review (zenstory-ai/oh-story-claudecode, 7.4k stars), Chinese Text Humanizer (op7418/Humanizer-zh, 19k stars) and Baoyu Translate (JimLiu/baoyu-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Shortform Production?
ericosiu (a GitHub user) maintains it in ericosiu/ai-marketing-skills, which has 3,620 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on September 22, 2026.
Source: ericosiu/ai-marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.