linkedin-reviewer
Skill0 starsChanged 7 months agoMITView on GitHub
Review and improve a product manager's LinkedIn profile using a simulated panel of three reviewers: Recruiter (discoverability and first impressions), Hiring Manager (scope, impact, story coherence), and Head of Product (strategic narrative and leadership trajectory). Each reviewer scores sections and gives specific, quoted feedback. Ends with a prioritized rewrite list and offers to rewrite any section on request. Use this skill whenever the user asks to review, improve, or rewrite their LinkedIn profile — especially for PM roles. Also triggers for: "LinkedIn profile", "review my LinkedIn", "help me improve my LinkedIn", "is my LinkedIn good", "LinkedIn headline", "LinkedIn about section", "optimize my LinkedIn for recruiters", or when the user pastes LinkedIn profile content and asks for feedback. Invoke immediately — don't ask clarifying questions first; gather context as part of the skill flow.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Bellistri-Nick/pm-skillsword for word, first seen Nov 15, 2026
Other versions1 project uses a version of this.
Word for word · 1
- Bellistri-Nick/pm-skills★ 0100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
9 rules. About 0 are common, 9 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈9
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 36
Ask for the following in a single prompt.
- Distinctive: line 52
Before running the panel, score each profile section independently.
- Distinctive: line 76
Their lens: Search and first impressions.
- Distinctive: line 182
After the list, say:
- Distinctive: line 187
If the user says yes, rewrite in their voice.
- Distinctive: line 211
If a section is genuinely strong, say so specifically.
- Distinctive: line 213
If something will actively hurt discoverability or credibility, say so plainly.
- Distinctive: line 214
Don't soften it to the point of uselessness.
- Distinctive: line 215
If the user asks for rewrites, write them.
≈ “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 Profile Review — Product Manager Panel
What this skill does
Runs a structured LinkedIn profile evaluation for product managers. You gather context, simulate three independent reviewers with distinct lenses, score each profile section, synthesize findings into a prioritized rewrite list, and offer to rewrite weak sections on the spot.
LinkedIn is not a resume. It's a discoverable, social artifact that gets scanned by recruiters using keyword search, skimmed by hiring managers who already Googled you, and read by potential collaborators deciding whether to connect. The review treats it as such.
Step 1: Gather context
Ask for the following in a single prompt. If anything is already in context, skip asking for it:
- Profile content — paste the full profile text (headline, about, each role, featured section, skills list) or describe what's there
- Target role — title and level (e.g., Staff PM, Group PM, Director of Product)
- Target companies or industries — e.g., AI startups, B2B SaaS, enterprise
- Current situation — actively job hunting, passively open, or just optimizing?
- Specific concerns — anything they already suspect is weak
Once you have this, proceed directly. Don't ask follow-up questions.
Step 2: Section-by-section scoring
Before running the panel, score each profile section independently. This gives the user a map of where to focus. Be brief — one sentence per section.
| Section | Score | One-line diagnosis |
| Headline | X/10 | [what's working or broken] |
| About / Summary | X/10 | [what's working or broken] |
| Experience — [most recent role] | X/10 | [what's working or broken] |
| Experience — [prior roles] | X/10 | [what's working or broken] |
| Featured | X/10 | [present / absent / strong / weak] |
| Skills | X/10 | [keyword coverage for target role] |
Step 3: Panel review
Evaluate through three distinct lenses. Each reviewer has real priorities and a real perspective — don't blend them. Be specific: quote actual phrases from the profile. Generic feedback without citing what's there is useless.
Reviewer 1: Recruiter
Their lens: Search and first impressions. Recruiters find candidates through keyword search and decide in 10 seconds whether to click through. They care about discoverability, clarity, and qualification signal.
Evaluate:
- Headline — Does it communicate role, level, and differentiation? Or is it just a job title? A recruiter searching "Staff PM AI" or "Group PM B2B SaaS" — does this profile surface?
- Keyword coverage — Do the right terms appear in the headline, about, and experience? For PM roles: product strategy, roadmap, cross-functional, OKRs, discovery, go-to-market, AI/ML (if relevant), 0→1, platform, etc.
- Profile completeness — Missing sections (no featured, sparse about, old roles with no bullets) hurt LinkedIn's search ranking and signal low effort.
- First impression — If you land on this profile cold, do you immediately understand who this person is and what they do?
- Role-to-role progression — Does the career arc look intentional from a quick scan?
Score (1–10) and 3–5 specific findings. Name the single biggest search/discovery risk.
Reviewer 2: Hiring Manager (Senior PM / Director of Product)
Their lens: Story coherence and PM credibility. The hiring manager already found this person interesting enough to look deeper. Now they're asking: does this person actually think like a PM? Do they own outcomes or describe tasks?
Evaluate:
- Outcomes vs. outputs — Are bullets written around impact, or around activities? "Led migration to new data pipeline" tells nothing. "Led migration that cut data latency by 60% and unblocked the ML roadmap" tells a story.
- Scope and ownership — Is it clear what this person actually owned vs. contributed to? Are team sizes, revenue scope, or user scale present where relevant?
- Cross-functional signal — Is there evidence of working across engineering, design, data, and go-to-market? Or does it read like solo work?
- About section narrative — Does it explain why this person does product and what they're distinctively good at? Or is it a resume summary dressed up as prose?
- Credibility of claims — Do the metrics feel real and earned, or do they feel sprinkled in for cover? ("Improved NPS by 12 points" — did they own the metric or just work on a team that moved it?)
Score (1–10) and 3–5 specific findings. Pick the weakest bullet in the entire profile and rewrite it on the spot.
Reviewer 3: Head of Product
Their lens: Career narrative and leadership trajectory. This is the person who decides whether to fight for a candidate in debrief. They want to see someone building toward something — a clear POV, expanding scope, and the signal that this person will eventually be a product leader, not just a strong IC.
Evaluate:
- Strategic narrative — Does the About section communicate a clear product philosophy or point of view? Or is it generic ("I love building products that delight users")?
- Scope progression — Does each role represent meaningfully larger or more complex ownership than the last? (Users, revenue, team influence, org scope)
- Leadership signal — Is there evidence of setting direction, not just executing it? Words like "defined," "established," "built the team," "shaped the roadmap" matter. Words like "supported," "assisted," "helped" do not.
- AI/emerging tech depth (for AI-focused roles) — Is there genuine depth in how AI is described, or is it name-dropped for keyword coverage? "Used AI to improve X" is thin. "Defined the evaluation framework for AI output quality across three product surfaces" is specific.
- Where this is heading — Based on the arc, does this person look like they're building toward a VP or Director role? Is anything holding the story back?
Score (1–10) and 3–5 specific findings. One honest observation about what's missing to get to the next career level.
Step 4: Panel scorecard
| Reviewer | Score | Top concern |
| Recruiter | X/10 | [one-liner] |
| Hiring Manager | X/10 | [one-liner] |
| Head of Product | X/10 | [one-liner] |
| Overall | X/10 | [synthesis] |
Step 5: Top 5 rewrites — ordered by impact
Synthesize the panel into a prioritized action list. Lead with the highest-leverage changes first. Each item should be specific (reference the exact section), actionable (say what to do), and honest about stakes.
1. [Title of edit] What's wrong: [specific issue with a quote or reference] What to do: [concrete action] Why it matters: [consequence of not fixing it]
...through 5.
Step 6: Offer rewrites
After the list, say:
"Want me to rewrite any of these? I can take on the headline, about section, individual experience bullets, or the full profile. Just say which one."
If the user says yes, rewrite in their voice. Default voice for this skill:
- Decisive and active — "Built" not "Was responsible for building"
- Outcome-first — Lead with the impact, follow with the method
- Specific — Real numbers, real scope, real decisions
- Lean — Cut filler verbs (spearheaded, leveraged, synergized, drove)
- Human — Sound like a person, not a job description
LinkedIn headline rewrites should be under 220 characters and include: role,
level signal, one differentiator, and relevant keywords. Example structure:
[Role] @ [Company] | [Differentiator] | [2-3 keywords]
About section rewrites should open with the "so what" — the distinctive thing about this person — not with a chronological career summary. No "I'm passionate about..." openers. Lead with the claim, then support it.
Tone guidance
This is not a LinkedIn optimization gimmick session. The goal is a profile that makes a qualified PM look as qualified as they actually are — nothing more, nothing less.
- If a section is genuinely strong, say so specifically. ("The scope progression across your last three roles is unusually clear — it reads as intentional.")
- If something will actively hurt discoverability or credibility, say so plainly. Don't soften it to the point of uselessness.
- If the user asks for rewrites, write them. Don't describe what a rewrite would look like — produce the actual thing.
- Match the candor of someone who has reviewed hundreds of PM profiles and actually wants this person to get the job.
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