focused-fix
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
/cs:linkedin-outreach — Build a weekly commenting roster inside a real time budget, and write one outreach message at a time that refuses to be a template. Caps volume against LinkedIn's observed invitation limits and refuses automation-shaped plans. Nothing is ever sent.
$ npx -y skills add alirezarezvani/claude-skills --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/cs-linkedin-outreachContext preview
What this command does when you run it.
/cs:linkedin-outreach — Build a weekly commenting roster inside a real time budget, and write one outreach message at a time that refuses to be a template. Caps volume against LinkedIn's observed invitation limits and refuses automation-shaped plans. Nothing is ever sent.
name: "cs-linkedin-outreach" description: "/cs:linkedin-outreach — Build a weekly commenting roster inside a real time budget, and write one outreach message at a time that refuses to be a template. Caps volume against LinkedIn's observed invitation limits and refuses automation-shaped plans. Nothing is ever sent." argument-hint: "[who you want to reach, and how much time you have]"
**Command:** `/cs:linkedin-outreach [who, and how much time]`
**Nothing here is sent.** No credentials, no API calls. Automated connecting, messaging, commenting, liking, and sharing are prohibited by LinkedIn's User Agreement §8.2.
1. **A five-day comment roster** from accounts you name, capped at two appearances per account per week and balanced across tiers. 2. **A volume verdict** — safe, tight, over a cap, or refused as an automation plan. 3. **One assembled message** with the person-specific line enforced and the 200/300-character cap checked. 4. **The follow-up rule**, stated once.
# 1. Roster (tiers: huge | larger | peer | smaller) python3 ../skills/linkedin-engagement/scripts/comment_target_planner.py \ --account "Priya Raman:5:4:larger" --account "Tomas Lind:5:3:peer" \ --minutes-per-day 18 --output human # 2. Volume check BEFORE writing anything python3 ../skills/linkedin-engagement/scripts/outreach_volume_guard.py \ --invites 20 --pending 5 --minutes 120 --acceptance 0.42 --output human # exit 4 = refused as an automation plan. Do not build a smaller version of it silently. # 3. One message, for one person python3 ../skills/linkedin-engagement/scripts/outreach_message_builder.py \ --type connection --recipient "Priya" --specific-line "..." --reason "..." --output human
§8.2 regardless of who pressed the key.
rule names, and it is recognisable anyway.
reaffirms, say the risk is theirs and decline to build it.
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Repo: alirezarezvani/claude-skills
Deep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix <feature-path>
Clean up merged branches locally and on remote, keeping only main, dev, and gh-pages.
Stage, commit, and push the current branch following git governance rules.
Comprehensive audit pipeline for skills, plugins, agents, and commands. Validates structure, quality, security, marketplace compliance, cross-platform…