linkedin

REVIEW · 69
Registry indexed

Write LinkedIn posts and articles that earn attention without performing for it. Use for professional social posts, thought-leadership pieces, and career or company announcements. Enforces the EW anti-AI rules and the writer's voice profile.

Verified installs0
Stars28
Version1.0.0
Quality62/100 · Promising
Trust69/100 · Sandbox only
Audit79/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add Deupaxx/EveryDay-Writer --skill linkedin

Maintenance

fresh

2d since push

Risk

Needs review

Low GitHub adoption signal

GitHub quality

28

62/100 Quality · 77/100 Trust

Coverage tags

CodingGitHub automationproductivityagent-skill

Review notes

Low GitHub adoption signal · Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
62

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
69

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
79

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

28 GitHub stars

Repo activity

28 stars, 5 forks

Maintenance

2d since push

License

MIT

Install

npx skills add Deupaxx/EveryDay-Writer --skill linkedin

Install safety

standard package or runtime install path

Permission surface

network or browser access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 28 GitHub stars
  • Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Browser automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Navigate pages

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add Deupaxx/EveryDay-Writer --skill linkedin
Policy
review
Human review
yes

Trust and risk

Trust
69/100
Audit
79/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add Deupaxx/EveryDay-Writer --skill linkedin

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 28 GitHub stars

Agent safety v2

63/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Low GitHub adoption signal

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install deupaxx-linkedin

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use linkedin in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/deupaxx-linkedin/install
Install command: npx skills add Deupaxx/EveryDay-Writer --skill linkedin
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use linkedin for this task. Review https://www.openagentskill.com/api/skills/deupaxx-linkedin/install, then install with: npx skills add Deupaxx/EveryDay-Writer --skill linkedin

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

63/100

Browser automation

Platforms

Claude Code

Audit report

Needs review · 79/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Browser automation

Prototype with this skill first; keep a fallback candidate ready.

63
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Browser automation

Trust label

Prototype first

Install path

Command ready

Use when

  • Browser automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 62/100 quality profile
  • 4 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal

Implementation path

  1. 1Install it in a sandbox agent and run one Browser automation task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

69
OpenAgentSkill Trust Score

GitHub adoption

CHECK

28 GitHub stars

Stars/forks activity

CHECK

28 stars, 5 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 28 GitHub stars
  • Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

62
GitHub stars
28
Freshness
2d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: linkedin description: | Write LinkedIn posts and articles that earn attention without performing for it. Use for professional social posts, thought-leadership pieces, and career or company announcements. Enforces the EW anti-AI rules and the writer's voice profile. license: MIT metadata: version: "0.3.0" ---

# EW Skill — LinkedIn

**Dependency chain. Read these in order before writing anything:**

1. `core/anti-ai-rules.md` (read fully; Section 0 sets the standard, 0.1 sets precedence, 0.2 forbids fabrication, 9 and 10 stop over-correction) 2. `core/ai_slop_commandments.md` (mechanism reference and diagnostic checklist) 3. `core/voice-profile.md` (this writer's voice fingerprint; if `Completed: No`, stop and run onboarding) 4. Any `.md` files the user has dropped in `references/`

This chain applies on direct invocation (`/ew:linkedin`) exactly as it does on dispatch through `/ew`. Direct invocation skips routing, not constraints.

---

## WHAT THIS SKILL IS FOR

LinkedIn posts that earn attention without performing for it. Thought leadership that has actual thoughts. Professional writing that doesn't sound like a press release from a committee.

LinkedIn is the most AI-contaminated writing surface on the internet. The bar for standing out is not high — it's just not zero.

---

## THE PLATFORM REALITY

LinkedIn's algorithm rewards engagement velocity — comments and shares in the first 60 minutes matter most. But chasing the algorithm at the cost of your voice is the fastest way to sound like everyone else. The correct approach: write something worth reading, format it for the platform, ship it consistently. The algorithm follows quality over time.

**What LinkedIn readers do:** They scan. They stop at things that feel like they apply to their situation right now. They share things that make them look smart or thoughtful to their network. Write with that behavior in mind, not against it.

---

## HOOK ARCHITECTURE

The first 2–3 lines are what show before the "see more" cutoff. These are not the intro — they are the entire post compressed into its most compelling version. If the hook doesn't earn the click, nothing below it matters.

**Hook formulas that work on LinkedIn:**

**The Counterintuitive Statement:** "The best managers I've worked with were the ones who seemed least busy."

**The Specific Observation:** "I've read 40+ cold emails this month. Exactly 3 opened with something other than a compliment about my work."

**The Uncomfortable Admission:** "I spent 6 months optimizing a product feature nobody wanted. Here's what I missed."

**The Pattern Interrupt:** "Everyone says to post consistently. Nobody talks about the 18 months before anyone notices."

**What kills the hook on LinkedIn:** - Starting with your name or job title - Starting with "I'm excited to share..." - Starting with a compliment to someone else ("So proud of [Name]...") - Starting with a question that's too vague to create urgency - Starting with "As a [title], I've learned that..."

---

## POST STRUCTURE

LinkedIn prose needs white space to be readable on mobile. This is not optional — walls of text get scrolled past regardless of the quality inside them.

**The standard structure:**

**Line 1–2:** Hook (hard stop before the "see more" cutoff) **Line 3–4:** The setup — what situation or observation you're building from **Body:** The core idea, broken into single-sentence or two-sentence paragraphs with line breaks between each **Final line:** The sharpest point, a specific takeaway, or a genuine question that invites a specific type of response

**Line break rules:** - One idea per paragraph - Max 2–3 sentences before a break - No bullet walls — if you use bullets, max 4, keep them short, don't bold the first word of each one - Em-dashes sparingly — 1 per post maximum

---

## TONE: PROFESSIONAL AUTHENTICITY

LinkedIn has two failure modes: corporate stiffness and performed vulnerability. Both are unreadable.

**Corporate stiffness sounds like:** "Leveraging synergistic frameworks to drive stakeholder alignment across cross-functional teams has been a key component of our success trajectory." This is how no human speaks. Delete it.

**Performed vulnerability sounds like:** "I'll be honest — I've struggled with this too. And if you're reading this, I bet you have as well. We're all in this together." This is emotional manipulation dressed as relatability. It's the false vulnerability pattern from `anti-ai-rules.md`. Don't do it.

**Professional authenticity sounds like:** A specific thing you observed, learned, or got wrong, stated plainly, with enough detail that it's clearly real and not a writing exercise.

The test: could this sentence have been written by a thousand different people on LinkedIn? If yes, rewrite it until it couldn't.

---

## THE INSIGHT REQUIREMENT

Every LinkedIn post must have a point that is non-obvious enough to be worth the reader's 45 seconds.

**The three-second test:** Read your opening line. Does the reader's next thought need to be "I want to know more about this" — or could they reasonably think "I already know this" or "so what"? If it's the latter, the insight isn't sharp enough.

**Specificity over generality:** ❌ "Leadership is about showing up for your team." ✅ "The best thing I did for my team last quarter was cancel the weekly status meeting and replace it with a shared async doc. Morale went up. I heard more, not less."

Specific experiences carry proof. Platitudes carry nothing.

---

## WHAT LINKEDIN IS NOT FOR

- Thought experiments with no real position ("Curious what you all think about AI... the answer might surprise you!") - Humblebrag announcements dressed as lessons ("Humbled and grateful to have been recognized by Forbes 30 Under 30... here's what I learned from the process") - Corporate announcements that belong in a press release - Hot takes without substance — having an opinion is not the same as having a point

---

## CALL TO ACTION

Not every post needs one. When you use one, make it specific enough to be answerable.

❌ "What do you think? Share your thoughts below!" ✅ "What's the one system that's actually worked for your team?"

A vague CTA signals the writer doesn't know what they want from the reader. A specific CTA signals the writer knows exactly what conversation they want to start.

---

## POST-GENERATION REVIEW

After producing any draft, stop. Re-read `core/anti-ai-rules.md` Sections 1–7 with the draft in front of you. Go line by line through the pre-publish checklist in Section 7. Fix every failure before presenting the output.

LinkedIn is the most AI-contaminated surface this system writes for. The review pass is not optional here — it is where the differentiation actually happens.

## PRE-POST CHECKLIST

- [ ] Does the hook work as a standalone — does it earn the "see more" click? - [ ] Is there white space — is this readable on mobile? - [ ] Is there a specific insight, not just a topic? - [ ] Is the tone authentic or is it corporate/performed? - [ ] Does the post end on the sharpest point? - [ ] Have you run Sections 1–7 of `core/anti-ai-rules.md`? - [ ] Is there any "I'm excited/humbled/grateful" opening? Delete it. - [ ] Is there any bold-first bullet formatting? Restructure it. - [ ] Could this sentence have been written by anyone? Rewrite it until it couldn't.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 20, 2026
Published
Aug 20, 2026

Decision snapshot

Fallback candidate

63
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

79
Needs review
Security
86/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for linkedin, ready for a manual X post.

Curator note
A practical pick for a repeatable workflow:

linkedin: Write LinkedIn posts and articles that earn attention without performing for it. Use for professional social posts, thought...

28 stars

https://www.openagentskill.com/skills/deupaxx-linkedin?ref=x
Open X draft
Optional reply with install command
Listing + install path for linkedin:
https://www.openagentskill.com/skills/deupaxx-linkedin?ref=x

Install: npx skills add Deupaxx/EveryDay-Writer --skill linkedin

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
Deupaxx
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to Deupaxx but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/deupaxx-linkedin?metric=listed&label=Listed)](https://www.openagentskill.com/skills/deupaxx-linkedin)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/deupaxx-linkedin?metric=trust&label=Trust)](https://www.openagentskill.com/skills/deupaxx-linkedin)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/deupaxx-linkedin?metric=audit&label=Audit)](https://www.openagentskill.com/skills/deupaxx-linkedin/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/deupaxx-linkedin?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/deupaxx-linkedin)

Author

D

Deupaxx

@deupaxx

Platform fit

Health signals

GitHub stars
28
Quality score
34/100
Last GitHub push
Aug 20, 2026
Framework hints
Unknown
OpenAgentSkill views
4
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

69
  • GitHub adoption28 GitHub starsCHECK
  • Stars/forks activity28 stars, 5 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS