Run LinkedIn DM outreach that gets replies without burning the account: the 200 character connection note, invite pacing and weekly limits, a first message that starts a conversation instead of a pitch, two follow ups with a clean exit, reply triage, and a simple tracking sheet. Use when planning or running a LinkedIn connection or message campaign, drafting connection notes or follow ups, or fixing low acceptance or reply rates.
./install.sh linkedin-dm-outreachname: "linkedin_dm_outreach" description: "Run LinkedIn DM outreach that gets replies without burning the account: the 200 character connection note, invite pacing and weekly limits, a first message that starts a conversation instead of a pitch, two follow ups with a clean exit, reply triage, and a simple tracking sheet. Use when planning or running a LinkedIn connection or message campaign, drafting connection notes or follow ups, or fixing low acceptance or reply rates." metadata: { "includeInPrompt": true }
Run a manual LinkedIn outreach sequence from research to clean exit, at a pace the account can survive. The sequence is: research and pre touch, a short personalized connection note, a first message that opens a real conversation, two follow ups, and a clean exit. Replies get triaged the same day. Everything is logged in one tracking sheet.
Evidence tiers apply throughout. Official means LinkedIn Help states it. Reported means practitioners and vendor guides agree in practice but LinkedIn does not publish the number. Opinion means this skill's own operating rule. Full figures and sources are in references/limits_and_safety.md.
LinkedIn forbids the shortcut version of this work. User Agreement Section 8.2 bans bots and unauthorized automated methods to add contacts or send messages, and the prohibited software rules ban tools that automate activity on the site. This skill is a human sends, agent drafts workflow: draft, check, track, and remind with the tools here, and a person reviews and sends every invite and message.
Full table in references/limits_and_safety.md. The working rules:
Formula: name, one specific hook, plain reason to connect. No pitch, no link, no request for a call. Draft it, then run it through the checker:
python3 scripts/outreach_tracker.py check-note "your note here"
Worked example, 143 characters, verified with the checker: "Hi Maya, saw your post on cutting onboarding time at Fieldset. We ran into the same wall last quarter. Would like to connect and compare notes." More examples and the bad note to avoid are in references/message_scripts.md.
On a free account, spend the 3 monthly notes on the warmest targets only: people who saw your comment, spoke at an event you attended, or came by referral. Everyone else gets a plain invite after a pre touch, or waits for next month's notes.
Send within 24 hours of acceptance. Goal is a conversation, not a pitch: one observation tied to the hook, one question they can answer from experience in under a minute. Aim for 300 to 600 characters. No calendar link, no deck, no feature list.
Worked example: "Thanks for connecting, Maya. Your post said onboarding drop off spikes in week two. Is that still where it breaks, or has it moved earlier?" Full templates are in the scripts reference.
If they message you first, drop the template and answer what they wrote.
InMail is a separate lane, not a louder first message. Use it only when there is no honest connection path. It costs a credit, reported subject cap 200 characters and body cap 2,000 characters, and you cannot send a second InMail until they reply. A reply, accept, or decline within 90 days returns the credit, so relevance decides whether InMail is cheap or wasted.
Sort replies into positive, curious or question, not now, objection, referral, negative, and opt out. Scripts and actions for each type are in references/reply_triage.md.
Two hard rules:
Use templates/tracking_sheet.md or the bundled tracker. One row per person, updated in place:
python3 scripts/outreach_tracker.py init campaign.csv python3 scripts/outreach_tracker.py add campaign.csv --name "Maya R" --company "Fieldset" --stage invited --note-used yes --touch-date 2026-10-26 --next-step "wait for accept" --next-date 2026-10-30 python3 scripts/outreach_tracker.py summary campaign.csv python3 scripts/outreach_tracker.py due campaign.csv --on 2026-10-30
Weekly 15 minute review: check acceptance rate, work the due list, clean pending invitations older than 3 to 4 weeks, count the free note budget for the month, and confirm every opt out row is fully closed.
A founder targets 60 ops leads over 4 weeks, all researched with a named hook. Pace is 15 invitations per weekday in week 1 (60 total is too many for week 1 alone, so the list is split: 40 invitations across weeks 1 and 2, 20 held for week 3 in case acceptance dips). Free account, so only 3 notes go out in the month, all to warm referrals. The other invites follow a comment pre touch.
Reading the numbers the way this skill teaches: if 40 invitations produce 16 accepts, acceptance is 40 percent, above the guardrail, so the held 20 can go out in week 3. If 16 accepts produce 5 first message replies, 2 follow up replies, 1 meeting, 2 not now replies with dates logged, and 1 opt out closed on the spot, the campaign is working. The fix list for the next round comes from the losses: which hook got ignored, which question got answers. Volume stays flat until reply quality, not just acceptance, holds for two rounds.
If instead the first 20 invitations produce 3 accepts (15 percent), the campaign stops. The list, the profile, or the hook is wrong. Sending the remaining 40 at that rate is exactly the ignored invitation pattern LinkedIn names as a restriction trigger.
When asked to plan a campaign, deliver: the target criteria and list size, the pacing plan with the limit tier for each number used, the note budget plan for the account type, drafts of the connection note, first message, both follow ups, and the exit, the reply triage plan, and the tracking sheet set up with the first rows logged.
When asked for a single draft, deliver just that draft, checked: note drafts with a character count against the right cap, message drafts short enough to read on a phone. State the evidence tier of any limit you cite.
When asked to review a running campaign, lead with the numbers from the tracker: sent, acceptance rate, reply rate by stage, pending age, opt outs closed. Then name the one fix that matters most. Do not recommend raising volume into a low acceptance rate.
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