linkedin-experience-bullet
Skill0 starsChanged 39 days agoMITView on GitHub
Rewrite one experience entry into four proof bullets. Use for a single role, not a full profile audit. Use linkedin-profile-optimizer for the whole profile.
In this repository44 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- docs/llms.txtllms.txt
- llms.txtllms.txt
- linkedin-marketingSkill
- agent-instagram-deskSkill
- agent-whatsapp-deskSkill
- agent-x-deskSkill
- agent-youtube-deskSkill
- linkedin-analytics-reviewSkill
- linkedin-approval-gateSkill
- linkedin-carousel-writerSkill
- linkedin-case-receiptSkill
- linkedin-comment-drafterSkill
- linkedin-connection-noteSkill
- linkedin-content-plannerSkill
- linkedin-correctionSkill
- linkedin-cta-labSkill
- linkedin-employee-advocacySkill
- linkedin-engager-analyticsSkill
- linkedin-event-noteSkill
- linkedin-feature-pickerSkill
- linkedin-first-commentSkill
- linkedin-headline-labSkill
- linkedin-hook-extractorSkill
- linkedin-hook-labSkill
- linkedin-humanizerSkill
- linkedin-interviewerSkill
- linkedin-ist-windowSkill
- linkedin-job-answersSkill
- linkedin-job-fitSkill
- linkedin-job-intakeSkill
- linkedin-job-logSkill
- linkedin-job-noteSkill
- linkedin-newsletterSkill
- linkedin-poll-writerSkill
- linkedin-post-writerSkill
- linkedin-profile-optimizerSkill
- linkedin-quote-commentSkill
- linkedin-reply-handlerSkill
- linkedin-repurposerSkill
- linkedin-series-builderSkill
- linkedin-silence-auditSkill
- linkedin-thread-monitorSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Write four bullets under 200 characters each.
- Distinctive: line 14
Do not publish. Profile edits are pasted by the user.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Experience bullets
Four lines. Each is a verb, an object, and a result the user stated.
Steps
- Require the role and the raw notes. Do not import numbers from memory.
- Write four bullets under 200 characters each. No "responsible for".
- Flag any result that was not in the notes.
- Do not publish. Profile edits are pasted by the user.
Related
linkedin-approval-gatelinkedin-humanizer../../references/voice-rules.md
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

