How do I install the Teqfocus Linkedin Dashboard skill?

Run npx skillmds@latest add teqfocusadmin/teqfocus-linkedin-dashboard in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Teqfocus Linkedin Dashboard safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Teqfocus Linkedin Dashboard?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Teqfocus Linkedin Dashboard free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Teqfocus Linkedin Dashboard?

TeqfocusAdmin (@teqfocusadmin) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Teqfocus Linkedin Dashboard by teqfocusadmin

Name: Teqfocus Linkedin Dashboard
Rating: 4.2 (5 reviews)
Author: TeqfocusAdmin

Teqfocus Linkedin Dashboard

Turn a LinkedIn analytics export (xlsx/csv from company page or personal profile) into an interactive dashboard plus 5 data-backed recommendations for the Teqfocus content engine. Use this skill whenever the user uploads LinkedIn analytics data, asks "how is our LinkedIn performing", "analyze our post data", "build a content dashboard", "what's working on LinkedIn", or wants monthly/quarterly content performance review. Different from analytics-tracking (measurement strategy) — this skill builds the actual analysis artifact from real export data.

TeqfocusAdmin Updated Sep 22, 2026

File contents

Teqfocus LinkedIn Dashboard

LinkedIn export in → interactive dashboard + 5 recommendations out. The recommendations feed directly back into the content engine: what to post more of, what to kill, when to post, which persona is responding.

Prerequisites: Read /mnt/skills/user/teqfocus-gtm/SKILL.md first. For dashboard construction, read /mnt/skills/public/xlsx/SKILL.md (parsing the export) and the frontend-design skill (dashboard build).

Inputs

LinkedIn analytics export: content export (per-post metrics), follower export, and/or visitor export — company page or personal profile
Optional: the post texts themselves (paste or scrape) — enables hook-type and pillar analysis, which is where the best recommendations come from
Ask which profile the export belongs to (company / Avi / Jas) — benchmarks differ

Analysis layers

Clean and parse the export (LinkedIn exports have header junk rows — strip before parsing)
Per-post metrics: impressions, engagement rate, CTR, reactions/comments/reposts split
Pattern extraction (needs post texts): performance by hook type, format (text/carousel/image/video/document), length band, topic pillar, CTA presence, day-of-week × time
Trend: 4-week rolling engagement rate, follower growth vs. posting cadence
Outliers: top 10% and bottom 10% — what the winners share, what the losers share

Dashboard build

Single self-contained HTML (or React artifact) with: KPI cards (median engagement rate, total impressions, follower delta, posting cadence) → engagement trend chart → format performance comparison → day/time heatmap → top/bottom post table. Teqfocus brand tokens from teqfocus-design. Every chart answers a decision, not decorates a report.

The 5 recommendations (mandatory, always exactly 5)

Each recommendation: claim → the data behind it (specific numbers from the export) → the action → which skill executes it. Example shape:

"Carousels earn 2.4× the median engagement of text posts (n=9 vs n=31). Shift from 1 to 3 carousels per month. Route: linkedin-campaigns."

Rules: every number traces to the export — nothing estimated. If sample size is under 5 posts for a pattern, flag it "directional — small n". Never recommend on data the export doesn't contain.

Handoff

Recommendations feed: teqfocus-content-matrix (topic weighting), linkedin-campaigns (format shifts), teqfocus-post-scorer (updated baseline — hand it the same export), content-strategist (calendar cadence).

---name: teqfocus-linkedin-dashboarddescription: Turn a LinkedIn analytics export (xlsx/csv from company page or personal profile) into an interactive dashboard plus 5 data-backed recommendations for the Teqfocus content engine. Use this skill whenever the user uploads LinkedIn analytics data, asks "how is our LinkedIn performing", "analyze our post data", "build a content dashboard", "what's working on LinkedIn", or wants monthly/quarterly content performance review. Different from analytics-tracking (measurement strategy) — this skill builds the actual analysis artifact from real export data.---# Teqfocus LinkedIn DashboardLinkedIn export in → interactive dashboard + 5 recommendations out. The recommendations feed directly back into the content engine: what to post more of, what to kill, when to post, which persona is responding.**Prerequisites:** Read `/mnt/skills/user/teqfocus-gtm/SKILL.md` first. For dashboard construction, read `/mnt/skills/public/xlsx/SKILL.md` (parsing the export) and the frontend-design skill (dashboard build).## Inputs- LinkedIn analytics export: content export (per-post metrics), follower export, and/or visitor export — company page or personal profile- Optional: the post texts themselves (paste or scrape) — enables hook-type and pillar analysis, which is where the best recommendations come from- Ask which profile the export belongs to (company / Avi / Jas) — benchmarks differ## Analysis layers1. **Clean and parse** the export (LinkedIn exports have header junk rows — strip before parsing)2. **Per-post metrics**: impressions, engagement rate, CTR, reactions/comments/reposts split3. **Pattern extraction** (needs post texts): performance by hook type, format (text/carousel/image/video/document), length band, topic pillar, CTA presence, day-of-week × time4. **Trend**: 4-week rolling engagement rate, follower growth vs. posting cadence5. **Outliers**: top 10% and bottom 10% — what the winners share, what the losers share## Dashboard buildSingle self-contained HTML (or React artifact) with: KPI cards (median engagement rate, total impressions, follower delta, posting cadence) → engagement trend chart → format performance comparison → day/time heatmap → top/bottom post table. Teqfocus brand tokens from teqfocus-design. Every chart answers a decision, not decorates a report.## The 5 recommendations (mandatory, always exactly 5)Each recommendation: **claim → the data behind it (specific numbers from the export) → the action → which skill executes it**. Example shape:> "Carousels earn 2.4× the median engagement of text posts (n=9 vs n=31). Shift from 1 to 3 carousels per month. Route: linkedin-campaigns."Rules: every number traces to the export — nothing estimated. If sample size is under 5 posts for a pattern, flag it "directional — small n". Never recommend on data the export doesn't contain.## HandoffRecommendations feed: teqfocus-content-matrix (topic weighting), linkedin-campaigns (format shifts), teqfocus-post-scorer (updated baseline — hand it the same export), content-strategist (calendar cadence).

Frequently asked questions