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-repurpose — Split an article, talk transcript, README, or write-up into standalone LinkedIn units, score each on whether it survives without its context, and skip anything already in the reuse ledger so the same idea never goes out twice.
$ 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-repurposeContext preview
What this command does when you run it.
/cs:linkedin-repurpose — Split an article, talk transcript, README, or write-up into standalone LinkedIn units, score each on whether it survives without its context, and skip anything already in the reuse ledger so the same idea never goes out twice.
name: "cs-linkedin-repurpose" description: "/cs:linkedin-repurpose — Split an article, talk transcript, README, or write-up into standalone LinkedIn units, score each on whether it survives without its context, and skip anything already in the reuse ledger so the same idea never goes out twice." argument-hint: "[path to the source: article, transcript, README, notes]"
**Command:** `/cs:linkedin-repurpose [path to source]`
1. **Scored standalone units** — length, dangling references, evidence, substance. A unit opening with "This meant that…" is disqualified regardless of its score, because it refers to something the reader never saw. 2. **A suggested format** per unit. 3. **Ledger-aware output** — anything already posted is skipped, with its date available on request. 4. **The named gap you have to fill** — the first-person sentence only you can write.
# Split and see what is available python3 ../skills/linkedin-content/scripts/repurpose_splitter.py \ --input talk.md --ledger .linkedin-ledger.json --output human # After publishing unit 2, record it python3 ../skills/linkedin-content/scripts/repurpose_splitter.py \ --input talk.md --ledger .linkedin-ledger.json --record 2 --posted-on 2026-08-25 # Then lint the drafted post python3 ../skills/linkedin-content/scripts/post_linter.py --input draft.md --output human
Commit the ledger alongside the source. It is project state, not a cache.
you would do differently. That sentence is the only genuinely new thing in a repurposed post.
named third party. The pattern is publishable; the customer is not.
payload, the ledger is telling you to go do something new.
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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>
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