Linkedin High Intent

High-Intent Leads from a LinkedIn Post

The premise: people who comment or react on a relevant post are 5-10× more likely to accept a connection or reply than cold outreach. This skill turns a single post URL into a filtered, ICP-matched outreach campaign.

Required prerequisites — check before you start

1. linkupapi MCP connected. Verify with linkupapi_list_accounts.
   • If the list is empty, tell the user they have two options to connect a LinkedIn account, then stop and wait:
     • Hosted UI — open https://app.linkupapi.com/account-connection (fastest, handles checkpoints in-browser).
     • MCP login — run linkupapi_login directly (platform=linkedin, with email+password OR a login_token). On checkpoint_required → run linkupapi_checkpoint.
2. Pick the sending account before Stage 1. After confirming at least one status = connected account exists, present the connected accounts via AskUserQuestion (single-select). Each option label is the account display name; description shows email + country. The chosen account_id is used for every subsequent tool call in this run.
3. A LinkedIn post URL the user wants to mine.

Daily LinkedIn safety caps (MANDATORY — enforced before any tool call)

LinkedIn rate-limits per account. This skill respects:

• 20 connection requests / day (invites)
• 100 profile gets / day (linkedin_profiles get)
• 15 searches / day (search_people / search_companies)

Before Stage 1, run linkupapi_get_logs filtered to the last 24h on the chosen account. Count today's:

• linkedin_network/invite calls
• linkedin_profiles/get calls
• linkedin_profiles/search_* calls

Compute remaining budget per category. Never override the caps — trim the run or stop. Surface remaining budget in the Stage 0 echo so the user sees it before confirming.

If linkupapi_get_logs is unavailable or empty, fall back to scanning ./campaigns/*.md and ./enrichments/*.md for today's date and counting entries.

Stage 0 — Collect post URL + ICP

Use AskUserQuestion (single batched form):

1. Post URL — free-text (full LinkedIn post URL, must contain /posts/ or /feed/update/)
2. ICP — same shape as linkedin-outreach Stage 0: titles, sectors, sizes, geo. If the user has a saved ICP file (./icp/*.json), offer to reuse it.
3. Engagement type:
   • Commenters only (highest intent — recommended)
   • Reactors only (broader funnel)
   • Both
4. Volume cap — max invites this run. Hard ceiling = today's remaining 20-invite budget. Default = min(10, remaining_invites).
5. Note style — same options as linkedin-outreach: no note / personalized / custom. Recommended here: personalized note referencing the post (accept rate is much higher when you reference the engagement).

Echo the brief with daily-cap math:

Post:                {url}
ICP:                 {summary}
Engagement:          commenters + reactors
Volume cap:          10 (today: 8 invites used / 12 remaining)
Profile budget:      45 used / 55 remaining today
Note style:          short personalized

Wait for "yes" before continuing.

Stage 1 — Pull engagers from the post

Tool: linkedin_content. Load schema with ToolSearch query="select:mcp__linkupapi__linkedin_content" to confirm action names. Likely:

• get_post_reactions for reactors
• get_post_comments for commenters

{"account_id": "...", "action": "get_post_reactions", "params": {"post_url": "<url>", "limit": 100}}

Run the chosen action(s). Merge results, dedupe by profile_url. Drop:

• LinkedIn Member anonymized entries (URL contains headless)
• The post author themselves
• Profiles with missing profile_url

Not counted against the 15-search cap.

Stage 2 — Pre-filter on visible signal (no enrichment yet)

Each engager comes back with name, headline, sometimes current_company. Score each against the ICP using ONLY visible fields:

• ✅ Clear match — headline mentions target role/industry → enqueue for enrichment
• ❌ Clear mismatch → drop without burning a profile-get
• ⚠️ Ambiguous → enqueue if remaining profile-get budget allows

Surface the triage:

Engagers found:                47
Clear matches (will enrich):   12
Ambiguous (will enrich):        8
Clear non-matches (dropped):   27
Profile budget:                55 remaining → fits all 20.

Stop here and ask if user wants to drop ambiguous to save budget when budget is tight.

Stage 3 — Enrich matched profiles

Tool: linkedin_profiles get, sequential with 1-2s sleep between calls.

HARD CAP: do NOT exceed today's remaining profile-get budget. If 12 strong matches but only 5 budget left, enrich the 5 strongest by visible signal (headline match + current_company match) and write the rest to a "deferred to tomorrow" list in the campaign log.

For each enriched profile, verify CURRENT role (experience[0]) actually matches the ICP. Drop people whose recent job changed (false positives).

Stage 4 — Score and select for outreach

Final scoring per prospect:

• Strong match (current role + industry + size all align) → high priority
• Partial match (2 of 3) → medium
• Weak match (1 of 3) → drop unless volume target is underfilled

Select up to min(volume_cap, remaining_invite_budget, len(strong_matches + medium_matches)).

Show the final shortlist to the user (table: name, headline, company, match score, post engagement type) before sending. Wait for "yes".

Stage 5 — Launch invites (cap-aware)

For each selected prospect:

1. linkedin_network/check_invitation → skip if PENDING / CONNECTED
2. Generate the personalized note (if user opted in). Reference the post:

   "Hi {first_name}, saw your {comment|reaction} on {post_topic_short} — same space we're operating in. Would love to connect." Keep ≤250 chars. No links.

3. linkedin_network/invite with identifier=<handle> and message=<note>
4. Sleep 1-2s between invites
5. STOP the moment today's 20-invite budget is exhausted

Report partial completion if cap hits before the volume target.

Stage 6 — Persist & report (mandatory)

Write ./campaigns/{YYYY-MM-DD}-high-intent-{post-slug}.md:

1. Source post URL + author + topic
2. ICP definition
3. Engagement counts (commenters / reactors / merged / deduped)
4. Triage breakdown (matches / ambiguous / drops)
5. Enrichment results (confirmed / false positives)
6. Invites sent table: # | Name | Company | Engagement type | Note sent | invitation_urn
7. Daily caps remaining after this run
8. Deferred prospects list (for tomorrow)

Concise on-screen summary. Include account_id and daily-cap usage.

De-dup with previous campaigns

Before Stage 5, glob ./campaigns/*.md and ./enrichments/*.md for any profile_url / invitation_urn already in the new shortlist. Drop those silently and surface the dedup count in the report.

Common pitfalls

• Old posts: if the post is >30 days old, many commenters have changed jobs. Stage 3 enrichment is critical.
• Author = ICP: don't invite the post author themselves.
• Same-company clustering: if 5 of 10 matches are from the same target account, surface this — could trigger LinkedIn anti-spam.
• Note that mentions the post: the note is the entire reason this skill out-converts cold outreach. Don't default to "no note" here unless user insists.
• Burning profile budget on non-matches: Stage 2 visible-signal filter is essential.

Tool quick reference