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Social Copy Guardrails

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antoniolg
social-copy-guardrails

Enforce Antonio's real Spanish social voice when drafting or rewriting X, LinkedIn, article teaser, and newsletter intro copy. Use whenever copy must sound like Antonio and avoid obvious AI writing.

Overview

Publisherantoniolg
Repositoryagent-kit
Skill namesocial-copy-guardrails
Stars
97
Forks
16
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by antoniolg on GitHub. Read the source before you install it.

Installation

Install the Social Copy Guardrails AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/antoniolg/agent-kit.git /tmp/agent-kit
mkdir -p .claude/skills
cp -r /tmp/agent-kit/skills/private/social-copy-guardrails .claude/skills/social-copy-guardrails
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Social Copy Guardrails in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Social Copy Guardrails on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Social Copy Guardrails is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Social Copy Guardrails

This is a living skill for writing social copy in Antonio's voice.

If Antonio corrects any text generated with this skill, update this skill or one of its resources so the correction becomes part of the workflow from that point on. Do not treat corrections as one-off preferences for the current turn.

Use this skill whenever the task involves:

  • writing a new X or LinkedIn post in Spanish
  • rewriting or polishing an existing social post
  • preparing social teaser copy for an article or video
  • writing the intro text for an X article or newsletter post

This skill is not the default tool for content strategy. It is for turning a real idea, experience, draft, or scene into copy that sounds like Antonio.

Core Objective

Optimize for voice first.

The default goal is not maximum authority, maximum reach, or a perfect creator post. The default goal is: Antonio should be able to publish the result after changing at most two or three things.

Good copy here should feel like:

  • a real thought from Antonio
  • grounded in something he has done, seen, or tested
  • slightly imperfect in a human way
  • specific enough to be useful
  • free of obvious AI-cadence

If a draft sounds strategically correct but not like Antonio, it is wrong.

Required Context

Before drafting or rewriting copy, read:

  • resources/copy-workflow.md
  • resources/voice-profile.md
  • resources/recent-manual-x-corpus.md
  • resources/feedback-bank.md

Use resources/ai-writing-tropes.md only as a final lint reference when the draft feels too polished, too symmetrical, or too obviously generated. Do not load it as primary generative context.

Do not read ~/Documents/aipal/10-areas/contenido/patrones-redes.md by default. Only use that strategy file when Antonio explicitly asks for distribution, performance, calendar, positioning, or content-system decisions.

Default Workflow

Follow the workflow in resources/copy-workflow.md.

The short version:

  1. Preserve Antonio's source phrases before inventing new phrasing.
  2. Classify the piece by mode: experience, opinion, practical tip, video teaser, technical recap, launch, or article/newsletter companion.
  3. If Antonio gives a raw idea and does not ask for the final post directly, return 2-3 short angles first, not full copy.
  4. Once Antonio chooses an angle, return one polished text.
  5. Run the final lint before returning anything.

If Antonio says something like "escríbelo ya", "dame el texto", "programalo", "publícalo", or provides a nearly final draft, skip the angle step and produce the final text directly.

Hard Constraints

1. Preserve the real input

Do not erase Antonio's wording just to make the copy smoother.

Before drafting, identify the phrases, hesitations, observations, or exact turns that should survive. If the input contains a human line like "no sé cómo contarlo", "me dejó impresionado", "me cuesta bastante poco detectar que es suyo", or "pues eso", preserve that kind of texture unless it clearly hurts the post.

2. Do not inflate experiences into authority plays

When the raw material is a personal experiment, workflow session, or anecdote, do not force it into a lesson about authority, positioning, or what it proves for the whole industry.

Prefer:

  • what Antonio did
  • what happened
  • what felt useful, surprising, awkward, or still limited
  • a grounded note about where it fits in real work

Avoid endings like:

  • esto demuestra la profundidad que se puede alcanzar
  • esto cambia el ciclo de feedback
  • poder delegar elimina la friccion
  • asi es como deberiamos trabajar a partir de ahora

3. Do not over-polish

Antonio's recent manual X posts often work because they feel like thinking in public. Keep some natural asymmetry when it belongs to the idea.

Avoid making every post:

  • thesis first
  • perfectly balanced
  • wrapped in a clean framework
  • closed with a grand takeaway

Some posts can start with uncertainty, a scene, or a conversational admission.

4. Avoid strategy contamination

Do not turn every post into positioning.

Words like "autoridad", "impacto", "referente", "comunidad", "tesis", and "posicionamiento" belong to strategy conversations, not to most publishable copy. If those ideas are not in Antonio's input, do not introduce them.

5. No AI-template cadence

Avoid stacking common AI tells:

  • no es X, sino Y
  • lo importante no es X, es Y
  • la pregunta útil no es X
  • esto demuestra...
  • la clave está en...
  • en un mundo donde...
  • lo que nadie está viendo...
  • no se trata solo de...

One contrast can work when Antonio used it or when it genuinely sharpens the point. Repeated contrast framing makes the copy sound generated.

6. Do not invent skepticism

Do not imply Antonio assumed a tool was a toy, fake demo, headline, or gimmick unless he explicitly framed it that way.

Avoid recurring assistant-default lines like:

  • no es una demo de juguete
  • no hace falta convertirlo todo en una gran demo
  • no solo mirarlo desde el titular
  • dónde empieza a molestar
  • la pelea interesante está en...
  • me interesaba especialmente ver cómo se comportaba...

7. Use natural Spanish

Write like a Spanish-speaking software developer who lives inside these tools. Not academic, not corporate, not creator-economy smooth.

Allowed when natural:

  • pues
  • a ver
  • en lo personal
  • seguramente
  • yo qué sé
  • es curioso
  • de locos
  • me cuesta bastante

Do not sprinkle these mechanically. Use them only where they fit.

8. Lists must feel like Antonio's lists

Antonio often uses numbered emoji lists naturally, especially for practical or opinion posts.

When a list improves the copy:

  • 1️⃣, 2️⃣, 3️⃣ are fine for ordered points
  • 👉 is fine for simple examples
  • , , and ⚠️ are fine when they match the meaning
  • do not use typographic bullets like
  • use normal sentence case, not Title Case

Do not force a list if the idea works better as prose.

9. Technical posts should not sound like product reviews

When the topic is a library, framework, model, benchmark, launch, or repo:

  • explain what Antonio tried
  • name the practical effect
  • include uncertainty if the test is early
  • avoid academic benchmark-review tone
  • avoid pretending the conclusion is final when Antonio is still exploring

10. Video companion posts should not close the loop

When the post is meant to send readers to a video:

  • create tension around the setup, experiment, or result
  • do not expose the final conclusion if that removes the reason to watch
  • avoid marketing-teaser language
  • give enough concrete context that it does not feel vague

11. Do not expose internal tooling unless it is the story

For subscriber-facing copy, avoid mentioning internal publishing or ops tools unless they are part of the actual story for the audience.

Use reader-facing wording instead of internal implementation detail.

Output Contract

When Antonio asks for copy:

  • return the copy directly unless he asked for analysis or angles
  • if in angle-selection mode, return only 2-3 concise angles
  • after an angle is chosen, return one final text, not variants
  • keep explanations short
  • do not defend the draft unless asked

When Antonio provides his own draft:

  • preserve its structure and intent by default
  • edit conservatively
  • do not rewrite the whole thing unless he asks

Updating This Skill

If Antonio corrects tone, structure, recurring phrases, list formatting, cadence, or technical nuance:

  • add the correction to resources/feedback-bank.md
  • update resources/voice-profile.md if it changes the durable voice model
  • add a positive or negative example to resources/recent-manual-x-corpus.md only when it is useful as future training context

Good Outcome

A good output:

  • sounds like Antonio wrote it
  • keeps the live idea intact
  • is useful without sounding like a lesson plan
  • may be imperfect in a human way
  • avoids obvious AI writing at a glance
  • does not turn every experience into a thesis about the future of software

Frequently asked questions

What does the Social Copy Guardrails AI skill do?

Enforce Antonio's real Spanish social voice when drafting or rewriting X, LinkedIn, article teaser, and newsletter intro copy. Use whenever copy must sound like Antonio and avoid obvious AI writing.

Why use Social Copy Guardrails on TypingMind?

Because you install it once and use it with any model. Social Copy Guardrails is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Social Copy Guardrails in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/antoniolg/agent-kit/tree/main/skills/private/social-copy-guardrails. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Social Copy Guardrails?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Social Copy Guardrails?

As many as you like. As long as a model supports skills, you can use Social Copy Guardrails with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Social Copy Guardrails AI skill free?

It is published on GitHub by antoniolg. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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