Marketing Content Linkedin Post
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Install
$ agentstack add skill-b2bforce-b2bforce-marketing-content-linkedin-post ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-b2bforce-b2bforce-marketing-content-linkedin-post) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
LinkedIn Post Generation
Draft pipeline for a content idea of type linkedin_post.
When to Use
- Idea with
content_type: linkedin_post - User wants LinkedIn-native copy (not cross-posted blog summary)
Prerequisites
- Content idea file + firm/service/ICP/persona context
- Current agent/LLM session
- Do NOT run Exa reference search (skipped for this type)
Prompt layering
- Base writer (style only)
- Quality layer
- LinkedIn format layer →
references/format-requirements.md
Optional: workspace/firm/content-guidelines/linkedin-post.md
Follow the shared draft gate and writing quality rules in docs/content-generation.md. Use buyer_question, unique_angle, proof_source, next_action, and research_mode from the idea; do not write from title + description only.
Output format (critical)
- Plain text — NOT Markdown headers
- One sentence per line
- 150–250 words optimal; max ~300 words / 3000 chars
- 0–2 emojis if brand-appropriate
- 2–3 hashtags at end
- Engagement question at end
- No bullet lists (hurts engagement)
- First-person voice (I, we, you)
Stage → framework (from format prompt)
| Stage | Framework | |-------|-----------| | Problem | Story Hook, Poll | | Concept | Category, This-vs-That | | Education | Framework, How-To | | Decision | Comparison, Data | | Vendor | CSR, Behind-the-Scenes |
Output path
workspace/marketing/content/drafts/linkedin/{slug}.md
Frontmatter: idea, content_type, buying_stage, service, icp, persona, generated_at. Body = plain text only. Title in frontmatter for filing.
Run scripts/validate-content-draft.sh {output}. Update idea frontmatter to status: generated after the draft validates.
Related Skills
marketing-content-x-post — different length/platform rules
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: b2bforce
- Source: b2bforce/b2bforce
- License: MIT
- Homepage: https://www.b2bforce.ai/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.