How do I install the Create Linkedin Content skill?

Run npx skillmds@latest add robomotionio/create-linkedin-content in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Create Linkedin Content safe to use?

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Which AI agents work with Create Linkedin Content?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Create Linkedin Content free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Create Linkedin Content?

robomotionio (@robomotionio) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Create Linkedin Content by robomotionio

Name: Create Linkedin Content
Author: robomotionio

Create Linkedin Content

Draft 2–5 voice-tuned LinkedIn post variants from a free-form brief, each with a distinct framing, applying LinkedIn-native conventions (arrow bullets, a "why this matters" beat, 150–500 words, 0–2 hashtags) and self-checking against a personal voice guide before returning. The agent does the drafting; a bundled deterministic linter enforces banned-phrase / length / arrow-bullet / "why this matters" rules. Invoked standalone or by social-kit.

robomotionio 5198bcf 4 files · 8.1 KB Updated Sep 17, 2026

File contents

Create LinkedIn Content

The drafting is yours (the agent is the model). This skill is mostly instructions plus a tiny deterministic linter (lint_post.py) enforcing the LinkedIn format conventions.

When to use

"Write LinkedIn posts about [topic/launch]."
After a build/launch/insight when you want several framings to choose from.
As the LinkedIn arm of social-kit. Pairs with generate-voice-guide and graphics-studio.

How to draft

Resolve the voice guide: explicit path → stored config / Memory → default location → else prompt to generate one (generate-voice-guide) or proceed with a warned generic default. Never silently skip it — generic, AI-sounding posts are the failure mode.
Parse the brief; decide variant count by richness (LinkedIn skews toward 3).
Draft each variant under a distinct framing (builder-story, product-launch, problem-first, ecosystem-map, contrarian-insight, workflow-tutorial), applying LinkedIn defaults: 150–500 words, → arrow bullets for any list, a "why this matters" beat, 0–2 hashtags, a "link in comments"-style CTA. Quote the brief's specifics verbatim. Avoid "I'm humbled" / "Grateful for…" performative openers.
Self-check each variant with the linter, then your own voice-match + press-release-tone judgement. Rewrite ≤2× or drop.
Save one file per variant (linkedin-<letter>-<framing>.md) with frontmatter (platform: linkedin, framing, status: draft) and the post body.

Linter

python3 ${SKILL_DIR}/scripts/lint_post.py --file ${WORKSPACE}/linkedin-a-builder-story.md \
  --voice-guide ${WORKSPACE}/voice-linkedin.md

Flag	Meaning
`--file`	Post file (default stdin; frontmatter is stripped).
`--banned`	Comma-separated extra banned phrases.
`--voice-guide`	Voice-guide file; pulls its "Banned phrases" section.
`--word-min` / `--word-max`	LinkedIn word band (default 150 / 500).
`--max-hashtags`	Hashtag ceiling (default 2).

Emits JSON: {word_count, length_ok, banned_hits, has_arrow_bullets, has_why_this_matters, hashtag_count, hashtags_ok, has_concrete_token, pass}. pass requires no banned hits, in-band length, a "why this matters" beat, and ≤2 hashtags → otherwise rewrite or drop. has_arrow_bullets=false is a nudge to use → for any list.

python3 ${SKILL_DIR}/scripts/lint_post.py --help lists all flags.

Outputs

One markdown file per variant + a short summary of the framings used.

Credentials / env

Required: none. The agent is the drafting engine; no script needs a key.
Optional: none. No paid service is applicable — this is pure LLM drafting with no external-data step. A missing voice guide degrades gracefully (prompt or warned-generic).

Notes & edge cases

Arrow bullets are a LinkedIn signal; prefer them for any list.
Quote the brief's specifics verbatim (numbers, tool names, prices) — paraphrasing kills it.
Prefer fewer strong variants over many watered-down ones.
Mirrors create-x-content; the difference is the LinkedIn defaults above.

---name: create-linkedin-contentdescription: Draft 2–5 voice-tuned LinkedIn post variants from a free-form brief, each with a distinct framing, applying LinkedIn-native conventions (arrow bullets, a "why this matters" beat, 150–500 words, 0–2 hashtags) and self-checking against a personal voice guide before returning. The agent does the drafting; a bundled deterministic linter enforces banned-phrase / length / arrow-bullet / "why this matters" rules. Invoked standalone or by social-kit.---# Create LinkedIn ContentThe drafting is **yours** (the agent is the model). This skill is mostly instructions plusa tiny deterministic linter (`lint_post.py`) enforcing the LinkedIn format conventions.## When to use- "Write LinkedIn posts about [topic/launch]."- After a build/launch/insight when you want several framings to choose from.- As the LinkedIn arm of `social-kit`. Pairs with `generate-voice-guide` and `graphics-studio`.## How to draft1. **Resolve the voice guide**: explicit path → stored config / Memory → default location → else prompt to generate one (`generate-voice-guide`) or proceed with a *warned* generic default. Never silently skip it — generic, AI-sounding posts are the failure mode.2. **Parse the brief; decide variant count** by richness (LinkedIn skews toward 3).3. **Draft each variant** under a distinct framing (builder-story, product-launch, problem-first, ecosystem-map, contrarian-insight, workflow-tutorial), applying LinkedIn defaults: 150–500 words, `→` arrow bullets for any list, a "why this matters" beat, 0–2 hashtags, a "link in comments"-style CTA. Quote the brief's specifics verbatim. Avoid "I'm humbled" / "Grateful for…" performative openers.4. **Self-check each variant** with the linter, then your own voice-match + press-release-tone judgement. Rewrite ≤2× or drop.5. **Save one file per variant** (`linkedin-<letter>-<framing>.md`) with frontmatter (`platform: linkedin`, `framing`, `status: draft`) and the post body.## Linter```bashpython3 ${SKILL_DIR}/scripts/lint_post.py --file ${WORKSPACE}/linkedin-a-builder-story.md \ --voice-guide ${WORKSPACE}/voice-linkedin.md```| Flag | Meaning ||---|---|| `--file` | Post file (default stdin; frontmatter is stripped). || `--banned` | Comma-separated extra banned phrases. || `--voice-guide` | Voice-guide file; pulls its "Banned phrases" section. || `--word-min` / `--word-max` | LinkedIn word band (default 150 / 500). || `--max-hashtags` | Hashtag ceiling (default 2). |Emits JSON: `{word_count, length_ok, banned_hits, has_arrow_bullets,has_why_this_matters, hashtag_count, hashtags_ok, has_concrete_token, pass}`. `pass`requires no banned hits, in-band length, a "why this matters" beat, and ≤2 hashtags →otherwise rewrite or drop. `has_arrow_bullets=false` is a nudge to use `→` for any list.`python3 ${SKILL_DIR}/scripts/lint_post.py --help` lists all flags.## OutputsOne markdown file per variant + a short summary of the framings used.## Credentials / env- **Required:** none. The agent is the drafting engine; no script needs a key.- **Optional:** none. **No paid service is applicable** — this is pure LLM drafting with no external-data step. A missing voice guide degrades gracefully (prompt or warned-generic).## Notes & edge cases- Arrow bullets are a LinkedIn signal; prefer them for any list.- Quote the brief's specifics verbatim (numbers, tool names, prices) — paraphrasing kills it.- Prefer fewer strong variants over many watered-down ones.- Mirrors `create-x-content`; the difference is the LinkedIn defaults above.

Frequently asked questions