clear-memory
Reset your LinkedIn content memory back to defaults. Usage: /clear-memory
@sarveshtaleleInstall SkillContent
Skill
/feedback
Save positive feedback to memory for reinforcement learning. Usage: /feedback <what worked well about this content>
Claude Code
$ npx -y skills add sarveshtalele/linkedin-content-skill --skill feedback --agent claude-code
Codex
$ npx skills add sarveshtalele/linkedin-content-skill --skill feedback -a codex -y
Cursor
$ npx skills add sarveshtalele/linkedin-content-skill --skill feedback -a cursor -y
Gemini CLI
$ npx skills add sarveshtalele/linkedin-content-skill --skill feedback -a gemini-cli -y
GitHub Copilot
$ npx skills add sarveshtalele/linkedin-content-skill --skill feedback -a github-copilot -y
OpenCode
$ npx skills add sarveshtalele/linkedin-content-skill --skill feedback -a opencode -y
Windsurf
$ npx skills add sarveshtalele/linkedin-content-skill --skill feedback -a windsurf -y
SKILL.md
feedback.SKILL.mddescription: Save positive feedback to memory for reinforcement learning. Usage: /feedback <what worked well about this content> allowed-tools: Bash
You are saving successful content patterns to the LinkedIn skill's reinforcement learning memory.
Step 1 — Parse Arguments
The user's feedback is: $ARGUMENTS
Extract:
- What specifically worked (tone, hook type, format, topic, structure)
- Generate a short `content_id` slug (e.g. "contrarian-ai-hook", "storytelling-carousel")
- Identify relevant tags (e.g. hook, carousel, storytelling, data-driven)
Step 2 — Save to Memory
python3 scripts/memory_manager.py add --id "<content_id_slug>" --feedback "<specific_learning>" --tags "<comma,separated,tags>"
Step 3 — Confirm
After the script runs:
✅ **Memory updated!** Saved: *"<what was saved>"*
Future posts, carousels, and calendars will now reflect this preference automatically.
> 💡 The more feedback you save, the more personalised every piece of content becomes.
Ships withlinkedin-content-skill
A production-ready Claude Code skill that turns your AI assistant into a personal LinkedIn Content Strategist.
107 skills
Stars on GitHub
Momentum
- stars in total
- 10
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@zarazhangruiInstall SkillQuestions about feedback.
- Which coding agents can use feedback?
- feedback installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.