Creator · sergebulaev
Last updated · Sep 3, 2026
Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team pos
Creator · sergebulaev
Last updated · Sep 3, 2026
Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team pos
Creator · sergebulaev
Last updated · Sep 3, 2026
Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team pos
Creator · sergebulaev
Last updated · Sep 3, 2026
Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team pos
Review then install
Install targets
Codex install prompt
Install the "linkedin-employee-advocacy" agent skill from https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-employee-advocacy. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"sergebulaev-linkedin-employee-advocacy","task":"Install linkedin-employee-advocacy","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Content automation
I need my agent to turn research and product updates into useful content drafts.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
652
75/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
652 GitHub stars
Repo activity
652 stars, 99 forks
Maintenance
4d since push
License
MIT
Install
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
Agent should check
Copy prompt
Task: Use linkedin-employee-advocacy in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install
Install command: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
LLM text format
/api/skills/sergebulaev-linkedin-employee-advocacy/install?format=text
Find alternatives
/api/skills/search?q=linkedin-employee-advocacy&limit=3
Agent prompt
Use linkedin-employee-advocacy for this task. Review https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install, then install with: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyRegistry metadata
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.
Manifest
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy
LLM text
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy?format=text
Install alias
/api/registry/install/sergebulaev-linkedin-employee-advocacy
Recommend
/api/registry/recommend?task=Use%20linkedin-employee-advocacy%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO652 GitHub stars
Stars/forks activity
INFO652 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Manage pipeline work
I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: linkedin-employee-advocacy description: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". ---
# LinkedIn Employee Advocacy
Stand up a marketing-team LinkedIn advocacy program that scales without killing authenticity. Employee posts get **8x more engagement** than brand-page posts — this skill operationalizes that advantage.
## When to use
- Marketing leader wants to get their team posting on LinkedIn - User is planning an advocacy program launch - Team is posting but output is inconsistent / off-brand / low-engagement - Need ROI measurement framework for an existing program - Requests: "how do I get the team posting", "launch advocacy", "scale LinkedIn across 10 people"
## Input
- Team size (5-50 typical) - Marketing goal (reach / pipeline / recruiting / thought leadership) - Current state (everyone silent / some active / inconsistent) - Brand guideline constraints
## Output
- **14-day launch plan** (if cold-starting) - **Operating model** (voice capture, ideation, approval, posting, measurement) - **Cadence targets** per team member (realistic, not punishing) - **KPI dashboard spec** (team reach, engagement, pipeline attribution) - **Governance playbook** (brand safety without blocking velocity)
## Four operating principles
1. **Scale authentically.** Individuals compose in their own voice, not corporate language. Corporate-tone team posts underperform authentic voice 3x. 2. **Maintain control.** Brand guidelines integrated into the workflow. Review step is **optional, not blocking** — high-trust roles bypass review entirely. 3. **Remove friction.** Per-post time budget: **5 minutes**. Anything more and the program dies in week 3. 4. **Prove ROI.** Track team reach, engagement, pipeline impact. Without attribution, the program gets cut at the first budget review.
## Benchmarks
- **Launch target:** team posting within **14 days** - **Active team size benchmark:** 8-11 members - **Output benchmark:** 70+ posts/week (at 8 members) or 3-5 posts/member/week - **Per-post time budget:** 5 minutes - **Team touchpoint math:** 11 people × 3 posts/week × 300 min impressions = **40,000 monthly touchpoints** baseline - **Employee vs. brand page:** 8x more engagement, 6-8x more reach on personal posts
## 14-day launch playbook
### Days 1-3: Voice capture - Short interview with each team member (5-10 min) to extract their actual voice - Identify their domain expertise and 2-3 content pillars - Set realistic individual cadence (some commit to 1/week, some 3/week — don't force uniformity)
### Days 4-7: First posts - Everyone ships their first post, drafted in their voice - Marketing reviews only for brand safety (never for style) - Celebrate every first post internally — social proof unlocks the next team member
### Days 8-10: Ideation pipeline - Set up a shared ideation source (newsletter digest, trending-topics feed, internal wins) - Each team member gets 5-10 topic suggestions per week - They pick, not assigned
### Days 11-14: Rhythm lock - Establish cadence: each team member publishes on fixed days/times - Set up KPI dashboard (see below) - Run first weekly review
## Governance: brand-safe without being blocked
**What marketing reviews:** - Factual claims about the company / products / customers - Confidential info - Legal/compliance issues (finance, health, regulated industries)
**What marketing does NOT review:** - Personal voice, tone, style - Opinions the team member has about their own work - Formatting, hashtags, emoji choices - Topic selection (within pillars)
**The review SLA:** <4 business hours. Anything longer and the post is dead (posts go stale in the news cycle).
## ROI measurement
### Per-person metrics (content quality) - Impressions per post - Engagement rate (reactions + comments + shares / impressions) - Comments (depth signal) - Profile views attributed to post
### Team-level metrics (program health) - Total team reach - Total team engagement - Individual contribution rank (leaderboard) - Active members / total members (participation rate)
### Business metrics (pipeline impact) - Inbound DMs sourced from LinkedIn content - Meetings booked from LinkedIn - Closed-won deals with LinkedIn as first-touch channel - Employee referrals sourced from LinkedIn (if recruiting is a goal)
## Anti-patterns
- **Copy-paste corporate posts across team accounts** — LinkedIn detects this, suppresses all of them - **Ghostwriting that erases the writer's voice** — reads as fake - **Mandatory posting cadence without individual calibration** — program dies in 6 weeks - **Approval loops >24h** — makes the program feel like work - **Measuring only vanity metrics** — program gets cut without pipeline attribution - **All-same pillars across team** — redundancy kills team reach (360Brew penalizes clustering)
## Resources
- `references/advocacy-principles.md` — the 4 operating principles with examples - `references/team-cadence-matrix.md` — realistic cadence by role + seniority - `references/governance-playbook.md` — what to review, what not to, SLA
## Related skills
- `linkedin-post-writer` — each team member uses this for individual drafts - `linkedin-profile-optimizer` — team profiles should match before the program launches (otherwise profile clicks convert poorly) - `linkedin-content-planner` — each team member gets their own pillar mix - `linkedin-thread-monitor` — track which team members' comments drive author replies - `linkedin-engager-analytics` — see who's engaging with each team member's posts - `linkedin-comment-drafter` — its **reshare mode** is how team members amplify a brand or colleague post to their own feed with a short take (`lib.repost(post_url, commentary)` on approval); the cleanest advocacy action after an original post
Source provenance
Decision snapshot
652 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-employee-advocacy, ready for a manual X post.
linkedin-employee-advocacy: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 1... 652 stars https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x
Listing + install path for linkedin-employee-advocacy: https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x Install: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to sergebulaev 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy/audit)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)sergebulaev
@sergebulaev
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsReview then install
Install targets
Codex install prompt
Install the "linkedin-employee-advocacy" agent skill from https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-employee-advocacy. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"sergebulaev-linkedin-employee-advocacy","task":"Install linkedin-employee-advocacy","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Content automation
I need my agent to turn research and product updates into useful content drafts.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
652
75/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
652 GitHub stars
Repo activity
652 stars, 99 forks
Maintenance
4d since push
License
MIT
Install
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
Agent should check
Copy prompt
Task: Use linkedin-employee-advocacy in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install
Install command: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
LLM text format
/api/skills/sergebulaev-linkedin-employee-advocacy/install?format=text
Find alternatives
/api/skills/search?q=linkedin-employee-advocacy&limit=3
Agent prompt
Use linkedin-employee-advocacy for this task. Review https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install, then install with: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyRegistry metadata
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.
Manifest
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy
LLM text
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy?format=text
Install alias
/api/registry/install/sergebulaev-linkedin-employee-advocacy
Recommend
/api/registry/recommend?task=Use%20linkedin-employee-advocacy%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO652 GitHub stars
Stars/forks activity
INFO652 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Manage pipeline work
I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: linkedin-employee-advocacy description: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". ---
# LinkedIn Employee Advocacy
Stand up a marketing-team LinkedIn advocacy program that scales without killing authenticity. Employee posts get **8x more engagement** than brand-page posts — this skill operationalizes that advantage.
## When to use
- Marketing leader wants to get their team posting on LinkedIn - User is planning an advocacy program launch - Team is posting but output is inconsistent / off-brand / low-engagement - Need ROI measurement framework for an existing program - Requests: "how do I get the team posting", "launch advocacy", "scale LinkedIn across 10 people"
## Input
- Team size (5-50 typical) - Marketing goal (reach / pipeline / recruiting / thought leadership) - Current state (everyone silent / some active / inconsistent) - Brand guideline constraints
## Output
- **14-day launch plan** (if cold-starting) - **Operating model** (voice capture, ideation, approval, posting, measurement) - **Cadence targets** per team member (realistic, not punishing) - **KPI dashboard spec** (team reach, engagement, pipeline attribution) - **Governance playbook** (brand safety without blocking velocity)
## Four operating principles
1. **Scale authentically.** Individuals compose in their own voice, not corporate language. Corporate-tone team posts underperform authentic voice 3x. 2. **Maintain control.** Brand guidelines integrated into the workflow. Review step is **optional, not blocking** — high-trust roles bypass review entirely. 3. **Remove friction.** Per-post time budget: **5 minutes**. Anything more and the program dies in week 3. 4. **Prove ROI.** Track team reach, engagement, pipeline impact. Without attribution, the program gets cut at the first budget review.
## Benchmarks
- **Launch target:** team posting within **14 days** - **Active team size benchmark:** 8-11 members - **Output benchmark:** 70+ posts/week (at 8 members) or 3-5 posts/member/week - **Per-post time budget:** 5 minutes - **Team touchpoint math:** 11 people × 3 posts/week × 300 min impressions = **40,000 monthly touchpoints** baseline - **Employee vs. brand page:** 8x more engagement, 6-8x more reach on personal posts
## 14-day launch playbook
### Days 1-3: Voice capture - Short interview with each team member (5-10 min) to extract their actual voice - Identify their domain expertise and 2-3 content pillars - Set realistic individual cadence (some commit to 1/week, some 3/week — don't force uniformity)
### Days 4-7: First posts - Everyone ships their first post, drafted in their voice - Marketing reviews only for brand safety (never for style) - Celebrate every first post internally — social proof unlocks the next team member
### Days 8-10: Ideation pipeline - Set up a shared ideation source (newsletter digest, trending-topics feed, internal wins) - Each team member gets 5-10 topic suggestions per week - They pick, not assigned
### Days 11-14: Rhythm lock - Establish cadence: each team member publishes on fixed days/times - Set up KPI dashboard (see below) - Run first weekly review
## Governance: brand-safe without being blocked
**What marketing reviews:** - Factual claims about the company / products / customers - Confidential info - Legal/compliance issues (finance, health, regulated industries)
**What marketing does NOT review:** - Personal voice, tone, style - Opinions the team member has about their own work - Formatting, hashtags, emoji choices - Topic selection (within pillars)
**The review SLA:** <4 business hours. Anything longer and the post is dead (posts go stale in the news cycle).
## ROI measurement
### Per-person metrics (content quality) - Impressions per post - Engagement rate (reactions + comments + shares / impressions) - Comments (depth signal) - Profile views attributed to post
### Team-level metrics (program health) - Total team reach - Total team engagement - Individual contribution rank (leaderboard) - Active members / total members (participation rate)
### Business metrics (pipeline impact) - Inbound DMs sourced from LinkedIn content - Meetings booked from LinkedIn - Closed-won deals with LinkedIn as first-touch channel - Employee referrals sourced from LinkedIn (if recruiting is a goal)
## Anti-patterns
- **Copy-paste corporate posts across team accounts** — LinkedIn detects this, suppresses all of them - **Ghostwriting that erases the writer's voice** — reads as fake - **Mandatory posting cadence without individual calibration** — program dies in 6 weeks - **Approval loops >24h** — makes the program feel like work - **Measuring only vanity metrics** — program gets cut without pipeline attribution - **All-same pillars across team** — redundancy kills team reach (360Brew penalizes clustering)
## Resources
- `references/advocacy-principles.md` — the 4 operating principles with examples - `references/team-cadence-matrix.md` — realistic cadence by role + seniority - `references/governance-playbook.md` — what to review, what not to, SLA
## Related skills
- `linkedin-post-writer` — each team member uses this for individual drafts - `linkedin-profile-optimizer` — team profiles should match before the program launches (otherwise profile clicks convert poorly) - `linkedin-content-planner` — each team member gets their own pillar mix - `linkedin-thread-monitor` — track which team members' comments drive author replies - `linkedin-engager-analytics` — see who's engaging with each team member's posts - `linkedin-comment-drafter` — its **reshare mode** is how team members amplify a brand or colleague post to their own feed with a short take (`lib.repost(post_url, commentary)` on approval); the cleanest advocacy action after an original post
Source provenance
Decision snapshot
652 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-employee-advocacy, ready for a manual X post.
linkedin-employee-advocacy: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 1... 652 stars https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x
Listing + install path for linkedin-employee-advocacy: https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x Install: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to sergebulaev 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy/audit)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)sergebulaev
@sergebulaev
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsReview then install
Install targets
Codex install prompt
Install the "linkedin-employee-advocacy" agent skill from https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-employee-advocacy. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"sergebulaev-linkedin-employee-advocacy","task":"Install linkedin-employee-advocacy","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Content automation
I need my agent to turn research and product updates into useful content drafts.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
652
75/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
652 GitHub stars
Repo activity
652 stars, 99 forks
Maintenance
4d since push
License
MIT
Install
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
Agent should check
Copy prompt
Task: Use linkedin-employee-advocacy in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install
Install command: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
LLM text format
/api/skills/sergebulaev-linkedin-employee-advocacy/install?format=text
Find alternatives
/api/skills/search?q=linkedin-employee-advocacy&limit=3
Agent prompt
Use linkedin-employee-advocacy for this task. Review https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install, then install with: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyRegistry metadata
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.
Manifest
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy
LLM text
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy?format=text
Install alias
/api/registry/install/sergebulaev-linkedin-employee-advocacy
Recommend
/api/registry/recommend?task=Use%20linkedin-employee-advocacy%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO652 GitHub stars
Stars/forks activity
INFO652 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Manage pipeline work
I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: linkedin-employee-advocacy description: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". ---
# LinkedIn Employee Advocacy
Stand up a marketing-team LinkedIn advocacy program that scales without killing authenticity. Employee posts get **8x more engagement** than brand-page posts — this skill operationalizes that advantage.
## When to use
- Marketing leader wants to get their team posting on LinkedIn - User is planning an advocacy program launch - Team is posting but output is inconsistent / off-brand / low-engagement - Need ROI measurement framework for an existing program - Requests: "how do I get the team posting", "launch advocacy", "scale LinkedIn across 10 people"
## Input
- Team size (5-50 typical) - Marketing goal (reach / pipeline / recruiting / thought leadership) - Current state (everyone silent / some active / inconsistent) - Brand guideline constraints
## Output
- **14-day launch plan** (if cold-starting) - **Operating model** (voice capture, ideation, approval, posting, measurement) - **Cadence targets** per team member (realistic, not punishing) - **KPI dashboard spec** (team reach, engagement, pipeline attribution) - **Governance playbook** (brand safety without blocking velocity)
## Four operating principles
1. **Scale authentically.** Individuals compose in their own voice, not corporate language. Corporate-tone team posts underperform authentic voice 3x. 2. **Maintain control.** Brand guidelines integrated into the workflow. Review step is **optional, not blocking** — high-trust roles bypass review entirely. 3. **Remove friction.** Per-post time budget: **5 minutes**. Anything more and the program dies in week 3. 4. **Prove ROI.** Track team reach, engagement, pipeline impact. Without attribution, the program gets cut at the first budget review.
## Benchmarks
- **Launch target:** team posting within **14 days** - **Active team size benchmark:** 8-11 members - **Output benchmark:** 70+ posts/week (at 8 members) or 3-5 posts/member/week - **Per-post time budget:** 5 minutes - **Team touchpoint math:** 11 people × 3 posts/week × 300 min impressions = **40,000 monthly touchpoints** baseline - **Employee vs. brand page:** 8x more engagement, 6-8x more reach on personal posts
## 14-day launch playbook
### Days 1-3: Voice capture - Short interview with each team member (5-10 min) to extract their actual voice - Identify their domain expertise and 2-3 content pillars - Set realistic individual cadence (some commit to 1/week, some 3/week — don't force uniformity)
### Days 4-7: First posts - Everyone ships their first post, drafted in their voice - Marketing reviews only for brand safety (never for style) - Celebrate every first post internally — social proof unlocks the next team member
### Days 8-10: Ideation pipeline - Set up a shared ideation source (newsletter digest, trending-topics feed, internal wins) - Each team member gets 5-10 topic suggestions per week - They pick, not assigned
### Days 11-14: Rhythm lock - Establish cadence: each team member publishes on fixed days/times - Set up KPI dashboard (see below) - Run first weekly review
## Governance: brand-safe without being blocked
**What marketing reviews:** - Factual claims about the company / products / customers - Confidential info - Legal/compliance issues (finance, health, regulated industries)
**What marketing does NOT review:** - Personal voice, tone, style - Opinions the team member has about their own work - Formatting, hashtags, emoji choices - Topic selection (within pillars)
**The review SLA:** <4 business hours. Anything longer and the post is dead (posts go stale in the news cycle).
## ROI measurement
### Per-person metrics (content quality) - Impressions per post - Engagement rate (reactions + comments + shares / impressions) - Comments (depth signal) - Profile views attributed to post
### Team-level metrics (program health) - Total team reach - Total team engagement - Individual contribution rank (leaderboard) - Active members / total members (participation rate)
### Business metrics (pipeline impact) - Inbound DMs sourced from LinkedIn content - Meetings booked from LinkedIn - Closed-won deals with LinkedIn as first-touch channel - Employee referrals sourced from LinkedIn (if recruiting is a goal)
## Anti-patterns
- **Copy-paste corporate posts across team accounts** — LinkedIn detects this, suppresses all of them - **Ghostwriting that erases the writer's voice** — reads as fake - **Mandatory posting cadence without individual calibration** — program dies in 6 weeks - **Approval loops >24h** — makes the program feel like work - **Measuring only vanity metrics** — program gets cut without pipeline attribution - **All-same pillars across team** — redundancy kills team reach (360Brew penalizes clustering)
## Resources
- `references/advocacy-principles.md` — the 4 operating principles with examples - `references/team-cadence-matrix.md` — realistic cadence by role + seniority - `references/governance-playbook.md` — what to review, what not to, SLA
## Related skills
- `linkedin-post-writer` — each team member uses this for individual drafts - `linkedin-profile-optimizer` — team profiles should match before the program launches (otherwise profile clicks convert poorly) - `linkedin-content-planner` — each team member gets their own pillar mix - `linkedin-thread-monitor` — track which team members' comments drive author replies - `linkedin-engager-analytics` — see who's engaging with each team member's posts - `linkedin-comment-drafter` — its **reshare mode** is how team members amplify a brand or colleague post to their own feed with a short take (`lib.repost(post_url, commentary)` on approval); the cleanest advocacy action after an original post
Source provenance
Decision snapshot
652 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-employee-advocacy, ready for a manual X post.
linkedin-employee-advocacy: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 1... 652 stars https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x
Listing + install path for linkedin-employee-advocacy: https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x Install: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to sergebulaev 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy/audit)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)sergebulaev
@sergebulaev
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsReview then install
Install targets
Codex install prompt
Install the "linkedin-employee-advocacy" agent skill from https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-employee-advocacy. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"sergebulaev-linkedin-employee-advocacy","task":"Install linkedin-employee-advocacy","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
SEO, content operations, lead generation, CRM, email automation, analytics, and growth workflows.
Scenario
Content automation
I need my agent to turn research and product updates into useful content drafts.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Maintenance
fresh
4d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
652
75/100 Quality · 84/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
652 GitHub stars
Repo activity
652 stars, 99 forks
Maintenance
4d since push
License
MIT
Install
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Install safety
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
Agent should check
Copy prompt
Task: Use linkedin-employee-advocacy in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20linkedin-employee-advocacy%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install
Install command: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/sergebulaev-linkedin-employee-advocacy/install
LLM text format
/api/skills/sergebulaev-linkedin-employee-advocacy/install?format=text
Find alternatives
/api/skills/search?q=linkedin-employee-advocacy&limit=3
Agent prompt
Use linkedin-employee-advocacy for this task. Review https://www.openagentskill.com/api/skills/sergebulaev-linkedin-employee-advocacy/install, then install with: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacyRegistry metadata
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.
Manifest
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy
LLM text
/api/registry/manifest/sergebulaev-linkedin-employee-advocacy?format=text
Install alias
/api/registry/install/sergebulaev-linkedin-employee-advocacy
Recommend
/api/registry/recommend?task=Use%20linkedin-employee-advocacy%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO652 GitHub stars
Stars/forks activity
INFO652 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS4d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Publish consistently
I need my agent to turn research and product updates into useful content drafts.
Manage pipeline work
I need my agent to enrich leads, update CRM records, and prepare sales follow-ups.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: linkedin-employee-advocacy description: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 14-day launch playbook, brand-guideline governance, per-post time budget, cadence benchmarks, and team ROI (reach, engagement, pipeline). Triggers on "employee advocacy", "get the team posting", "scale LinkedIn across team", "advocacy ROI". ---
# LinkedIn Employee Advocacy
Stand up a marketing-team LinkedIn advocacy program that scales without killing authenticity. Employee posts get **8x more engagement** than brand-page posts — this skill operationalizes that advantage.
## When to use
- Marketing leader wants to get their team posting on LinkedIn - User is planning an advocacy program launch - Team is posting but output is inconsistent / off-brand / low-engagement - Need ROI measurement framework for an existing program - Requests: "how do I get the team posting", "launch advocacy", "scale LinkedIn across 10 people"
## Input
- Team size (5-50 typical) - Marketing goal (reach / pipeline / recruiting / thought leadership) - Current state (everyone silent / some active / inconsistent) - Brand guideline constraints
## Output
- **14-day launch plan** (if cold-starting) - **Operating model** (voice capture, ideation, approval, posting, measurement) - **Cadence targets** per team member (realistic, not punishing) - **KPI dashboard spec** (team reach, engagement, pipeline attribution) - **Governance playbook** (brand safety without blocking velocity)
## Four operating principles
1. **Scale authentically.** Individuals compose in their own voice, not corporate language. Corporate-tone team posts underperform authentic voice 3x. 2. **Maintain control.** Brand guidelines integrated into the workflow. Review step is **optional, not blocking** — high-trust roles bypass review entirely. 3. **Remove friction.** Per-post time budget: **5 minutes**. Anything more and the program dies in week 3. 4. **Prove ROI.** Track team reach, engagement, pipeline impact. Without attribution, the program gets cut at the first budget review.
## Benchmarks
- **Launch target:** team posting within **14 days** - **Active team size benchmark:** 8-11 members - **Output benchmark:** 70+ posts/week (at 8 members) or 3-5 posts/member/week - **Per-post time budget:** 5 minutes - **Team touchpoint math:** 11 people × 3 posts/week × 300 min impressions = **40,000 monthly touchpoints** baseline - **Employee vs. brand page:** 8x more engagement, 6-8x more reach on personal posts
## 14-day launch playbook
### Days 1-3: Voice capture - Short interview with each team member (5-10 min) to extract their actual voice - Identify their domain expertise and 2-3 content pillars - Set realistic individual cadence (some commit to 1/week, some 3/week — don't force uniformity)
### Days 4-7: First posts - Everyone ships their first post, drafted in their voice - Marketing reviews only for brand safety (never for style) - Celebrate every first post internally — social proof unlocks the next team member
### Days 8-10: Ideation pipeline - Set up a shared ideation source (newsletter digest, trending-topics feed, internal wins) - Each team member gets 5-10 topic suggestions per week - They pick, not assigned
### Days 11-14: Rhythm lock - Establish cadence: each team member publishes on fixed days/times - Set up KPI dashboard (see below) - Run first weekly review
## Governance: brand-safe without being blocked
**What marketing reviews:** - Factual claims about the company / products / customers - Confidential info - Legal/compliance issues (finance, health, regulated industries)
**What marketing does NOT review:** - Personal voice, tone, style - Opinions the team member has about their own work - Formatting, hashtags, emoji choices - Topic selection (within pillars)
**The review SLA:** <4 business hours. Anything longer and the post is dead (posts go stale in the news cycle).
## ROI measurement
### Per-person metrics (content quality) - Impressions per post - Engagement rate (reactions + comments + shares / impressions) - Comments (depth signal) - Profile views attributed to post
### Team-level metrics (program health) - Total team reach - Total team engagement - Individual contribution rank (leaderboard) - Active members / total members (participation rate)
### Business metrics (pipeline impact) - Inbound DMs sourced from LinkedIn content - Meetings booked from LinkedIn - Closed-won deals with LinkedIn as first-touch channel - Employee referrals sourced from LinkedIn (if recruiting is a goal)
## Anti-patterns
- **Copy-paste corporate posts across team accounts** — LinkedIn detects this, suppresses all of them - **Ghostwriting that erases the writer's voice** — reads as fake - **Mandatory posting cadence without individual calibration** — program dies in 6 weeks - **Approval loops >24h** — makes the program feel like work - **Measuring only vanity metrics** — program gets cut without pipeline attribution - **All-same pillars across team** — redundancy kills team reach (360Brew penalizes clustering)
## Resources
- `references/advocacy-principles.md` — the 4 operating principles with examples - `references/team-cadence-matrix.md` — realistic cadence by role + seniority - `references/governance-playbook.md` — what to review, what not to, SLA
## Related skills
- `linkedin-post-writer` — each team member uses this for individual drafts - `linkedin-profile-optimizer` — team profiles should match before the program launches (otherwise profile clicks convert poorly) - `linkedin-content-planner` — each team member gets their own pillar mix - `linkedin-thread-monitor` — track which team members' comments drive author replies - `linkedin-engager-analytics` — see who's engaging with each team member's posts - `linkedin-comment-drafter` — its **reshare mode** is how team members amplify a brand or colleague post to their own feed with a short take (`lib.repost(post_url, commentary)` on approval); the cleanest advocacy action after an original post
Source provenance
Decision snapshot
652 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for linkedin-employee-advocacy, ready for a manual X post.
linkedin-employee-advocacy: Stand up and run a LinkedIn employee advocacy program for a marketing or sales team. Covers 1... 652 stars https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x
Listing + install path for linkedin-employee-advocacy: https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=x Install: npx skills add sergebulaev/linkedin-skills --skill linkedin-employee-advocacy
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to sergebulaev 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy/audit)
[](https://www.openagentskill.com/skills/sergebulaev-linkedin-employee-advocacy?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)sergebulaev
@sergebulaev
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsPermission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness