linkedin-skills is a collection of Claude Code and Codex skills for creating and managing LinkedIn content from a terminal. It helps users draft posts, comments, and replies, review their feeds, and plan a publishing cadence while requiring approval before publication. The catalogue entries are the project's skills, instructions, and plugin for using these workflows with coding agents.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sergebulaev/linkedin-skills --skill linkedin-post-writergit clone --depth 1 https://github.com/sergebulaev/linkedin-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sergebulaev/linkedin-skills/linkedin-post-writer)<a href="https://agentmods.dev/skills/sergebulaev/linkedin-skills/linkedin-post-writer"><img src="https://agentmods.dev/badge/skills/sergebulaev/linkedin-skills/linkedin-post-writer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sergebulaev/linkedin-skills/linkedin-post-writer"><img src="https://agentmods.dev/badge/skills/sergebulaev/linkedin-skills/linkedin-post-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00120 | $0.03706 |
| Opus 5.5 | $0.00048 | $0.01482 |
| Sonnet 5.5 | $0.00024 | $0.00741 |
| Haiku 4.5 | $0.00012 | $0.00371 |
Grade A, and why
linkedin-post-writer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 23d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Post Writer
Ship long-form LinkedIn posts using hook formulas that actually performed in 2025-2026 (verified engagement multipliers).
When to use
- User says "write me a LinkedIn post about X"
- User has a topic + a rough angle and needs a hook + structure
- User wants to pick from known-winning formats and fill in their voice
- User wants to audit + schedule in one flow
Formulas this skill can use
| Code | Formula | Reference eng | Best for |
|---|---|---|---|
| F1 | Platform Risk Anaphora | 4,240 | Category/platform posts, product-as-fix |
| F2 | R.I.P. Obituary | 3,822 | Era-ending claims, industry pivots |
| F3 | Year-over-Year Pivot | 494, 3.74x | Identity shifts, founder reflection |
| F4 | Time-Anchor Confession | 1,519+ | Vulnerability, voice reset, ICP re-targeting (2026: use with care, see caveats) |
| F5 | Self-Proving Meta | 1,082 / 435 comments | Commitment-based posts, tests in public |
| F6 | Comment-Gate Lead Magnet | 717-3,008 | List building (2026: use with care, real deliverable only, see caveats) |
| F7 | Odd-Precision Money Ledger | 1,755, 9.4x | Founder build-log, cost breakdowns (2026: strongest opener, number-first) |
| F8 | Paid-vs-Free Reversal | 550, 19.64x | Free framework give-away |
| F9 | Curiosity-Gap Teaser | 306, 4.25x | Emergent behavior, behind-the-scenes (2026: use with care, pay off in 2 lines) |
| F10 | Contrarian + Historical Receipts | 3,083 | Sacred-cow takes, AI/tech cycles |
| F11 | Emotional Cold-Open | high-reach* | Real story with emotional stakes (likes) |
| F12 | Permission Slip | comment-heavy* | Encouragement, reassurance (comments; 2026: use with care, needs a dated fact) |
| F13 | Bait-and-Switch Reversal | high-reach* | Policy/process change that's an upgrade (likes) |
| F14 | Named Gratitude / Tribute | repost-heavy* | Thanking mentors / team / departing colleague (reposts) |
| F15 | Explain-to-Kids | save-heavy* | Demystifying jargon (saves) |
| F16 | Status-Strip Humility | like-heavy* | Senior voice wanting warmth not distance (likes) |
| F17 | Controlled A/B Anecdote | structural† | One-variable comparison, delegation/AI takes (comments) |
| F18 | False-Binary Dissolve | structural† | "Both obvious answers fail" governance/strategy (comments/reposts; 2026: it is the post's one contrast) |
| F19 | Anecdote-Meets-Evidence Bridge | structural† | Personal noticing + a data stack (comments/saves) |
| F20 | Diverging-Curves Close | structural† | Two trajectories that diverge, quotable maxim (reposts) |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 23d ago Changed · +2 lines 4107d04639d3
- 1mo ago Changed 50dc3dbd5e63
- 1mo ago Changed f39e9ce09ac5
- 1mo ago Changed b962b61ddd9f
- 1mo ago Changed f928c631c75a
- 1mo ago Changed · +19 lines 14b5298191a9
- 1mo ago First seen · 109 lines · 120 tokens per session scan A d421c55b3bda
linkedin-post-writer is a skill published in the GitHub repository sergebulaev/linkedin-skills (5,223 stars, last pushed 5d ago), licensed MIT. It adds 120 tokens to every session and 3,706 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
linkedin-content-calendar-planner
Generate a 4-week LinkedIn content calendar tuned to the user's pillars, posting cadence, and audience. Returns a day-by-day plan with topic, format, hook angle, and CTA per post. Use when the user wants a system for the next month instead of inventing content every morning. Once the plan is confirmed it writes a…
linkedin-comment-opportunity-finder
Find the LinkedIn posts the user should comment on today to earn visibility, followers, and inbound. Pulls live candidates from the Taplio engagement feeds (the personalized selection, a curated creator feed for their niche, or a keyword search), scores each post on recency, audience overlap, engagement velocity, and…
linkedin-comment-reply-manager
Clear the comment inbox under the user's own LinkedIn posts. Pulls the comments that still need an answer (already answered, own, and hidden comments are filtered out), triages each one (question, pushback, lead signal, praise, spam), drafts a reply in the user's voice, and schedules the approved replies to post under…
linkedin-daily-engagement-routine
Run the user's daily 15-minute LinkedIn engagement session end to end : answer what is waiting under their own posts, pick today's 5 posts to comment on from the Taplio feeds, draft every reply and comment in their voice, get one batch approval, schedule everything, and close with the queue, yesterday's failures, and…
linkedin-engagement-watchlist-builder
Build the bench of creators the user should engage with every day. Samples the Taplio curated feeds that match their niche, the personalized selection, and a keyword search, clusters the live posts by author, and returns a ranked watchlist of 10 to 15 creators split into reach targets (bigger audiences, for…
linkedin-smart-comment-writer
Write a LinkedIn comment that gets noticed by the post author and the audience, save it as a Taplio comment draft, and, only on the user's explicit go, schedule it to post under their name. Avoids the generic great-post trap : 3 options on one angle (add, disagree, story, framework, question), ranked by likelihood of…