focused-fix
CommandDeep-dive feature repair — systematically fix an entire feature/module across all its files and dependencies. Usage: /focused-fix…
/cs-grill-linkedin — Interrogate a LinkedIn plan one forcing question at a time, each with a recommended answer anchored in the plugin's canon. Refuses to start the work until the objective, the audience, the hours, the proof, and the exclusion list survive the questions.
$ npx -y skills add alirezarezvani/claude-skills --agent claude-code
disable-model-invocation: true name: "cs-grill-linkedin" description: "/cs-grill-linkedin — Interrogate a LinkedIn plan one forcing question at a time, each with a recommended answer anchored in the plugin's canon. Refuses to start the work until the objective, the audience, the hours, the proof, and the exclusion list survive the questions." argument-hint: "[the LinkedIn plan or ambition you want pressure-tested]"
**Command:** `/cs-grill-linkedin [your plan]`
Most LinkedIn plans fail on inputs, not execution. This walks the five questions that decide whether any of the tools can run honestly. One question per turn, each with a recommended answer and the canon it comes from. Never bundle.
**Q1 — What has to be true in 90 days for this to have been worth it?** *Recommended: one observable outcome another person could verify — an inbound conversation, an offer, a hire. Not a follower count.* Canon: [`objective_to_pillars.md`](../skills/linkedin-strategy/references/objective_to_pillars.md). Follower count moves for reasons unrelated to the objective; optimising the number you can see instead of the outcome you want is the most common way a LinkedIn strategy fails while appearing to work.
**Q2 — Who is this for, specifically enough that someone is excluded?** *Recommended: role + company stage + the problem they have this quarter.* Canon: same document, and `positioning_brief.py` refuses "business leaders" at exit 3. An audience that excludes nobody cannot guide a single editorial decision.
**Q3 — How many minutes a week will you protect, measured from a bad week?** *Recommended: the honest number, not the aspirational one. Below 90, the answer is a comment-only week.* Canon: [`cadence_and_consistency.md`](../skills/linkedin-strategy/references/cadence_and_consistency.md). A cadence abandoned in week five is worse than one never started, because the abandonment is visible.
**Q4 — What proof already exists?** *Recommended: name shipped work, a measurement, a repo, a hire, a talk. If none exists, the first pillar is process, not results.* Canon: [`policy_and_account_safety.md`](../skills/linkedin-skills/references/policy_and_account_safety.md) — the fabrication refusal. A pillar with no proof is a claim you would have to invent evidence for.
**Q5 — What will you not post about?** *Recommended: two topics, including the trending one you have no edge on.* Canon: `objective_to_pillars.md`. A positioning that excludes nothing is availability, and the exclusion list is what settles the "should I comment on this news cycle" question in advance.
weak answer in the brief so it is visible later rather than arguing it now.
[`/cs-linkedin-plan`](cs-linkedin-plan.md).
them, and offer the profile lane instead, which needs neither.
411 production-ready skills for Claude Code and 12 other coding agents, covering engineering, product, marketing, compliance, finance and the C-suite. We test whether each skill loads when you ask in plain words, and publish the results.
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