linkedin-objection-handler
Skill9 starsChanged 4 months agoMITView on GitHub
Read pushback from a prospect and write an answer-first reframe that addresses the real concern and advances toward a call. Use when a reply contains an objection (price, timing, trust, fit, "we already do this").
In this repository28 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
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 27
Never discount to win. Price objections get reframed against the cost of the status quo, not knocked down.
- Distinctive: line 30
No em-dashes. Reads like a peer who respects the prospect's pushback.
- Distinctive: line 31
If the reply has run hot and is ready to book, hand it to /linkedin-reply-triager.
≈ “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
LinkedIn Objection Handler
An objection is a question wearing a no. This skill answers it directly, reframes to the cost of staying still, and moves the thread one step toward a call.
Inputs
- The objection as the prospect wrote it, plus your honest answer to it: $ARGUMENTS
- The brief (offer, pains, proof, voice profile) loads automatically.
Do this
- Name the real concern underneath the words. Most objections are one of five: price, timing, trust, fit, or "we already do this". Say which one this is and why.
- Answer it first and directly. No dodging, no pivot before the answer lands. Use the operator's honest answer from the input as the spine.
- Reframe to the cost of the status quo. What does doing nothing keep costing them, in their own metric (leads, pipeline, hours, missed revenue)?
- Advance to a call. Offer a small, specific next step (a short call, a look at their numbers). Keep it conditional and low-pressure.
- Match the tone to the thread's warmth: cold gets shorter and lighter, warm can carry more substance.
Output
The reframe message, ready to paste, tier-matched to the thread's warmth. Then a one-line note stating the concern you actually addressed (price / timing / trust / fit / already-do-this).
Rules
- Answer-first, always. Never evade the objection or change the subject before it is handled.
- Never discount to win. Price objections get reframed against the cost of the status quo, not knocked down.
- Advance to a call, do not hard-close in the text. Sending happens later, through the connected CLI/MCP layer, capped at 20 actions/day for new accounts.
- Draft only. Claude drafts, the operator approves, and only then sends.
- No em-dashes. Reads like a peer who respects the prospect's pushback.
- If the reply has run hot and is ready to book, hand it to /linkedin-reply-triager. Run /linkedin-humanizer on the draft before sending.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

