Gigs Hub · Skills Network · freelancing has levels
How to get a strong AI Skills Network Readiness Report
What to complete on your profile before running the report, what the AI evaluates, and how to improve your score. Each run typically costs 10 AI credits.
6 min read
The AI Skills Network Readiness Report is the final step before clients can discover you on the Skills Network. The AI reads your saved profile, portfolio, certifications, and track record — not just checklist boxes. A complete profile with real evidence produces a stronger level, score, and matching recommendations.
Before you run the report
Finish Step 1 to 100%, submit for admin review, and wait for certification. The report unlocks after approval — you will receive complimentary AI credits in your approval email. Run the report from Profile → Overview when your profile is as rich as possible.
What the AI weighs most
The evaluator is strict: a strong Dynamic or Demer signal requires evidence, not just self-declared skills. Focus on these areas first.
1. Proof of work (highest impact for new freelancers)
- Work sample link — a public case study URL (Google Doc, Notion, live demo) with clear outcomes.
- Portfolio tab — add 1–2 projects with titles, descriptions, and what you delivered.
- Personal portfolio URL (optional) — supports your brand; the case study link is what Step 1 requires.
- Resume/CV — should align with your skills and experience (verified during admin review).
The AI uses your case study URL, portfolio projects, and portfolio URL as evidence. Without these, it will flag gaps even if your skills list looks good.
2. Skills and specializations
- List at least five specific, hireable skills (e.g. “Django REST APIs”, “PostgreSQL”, “React”).
- Add at least two specializations (e.g. SaaS, FinTech APIs, E-commerce).
- Make sure skills match your title, bio, case study, and resume.
3. Bio and title
- Title — at least 8 characters, role-focused (e.g. “Full-stack SaaS Engineer”).
- Bio — minimum 80 characters for Step 1; aim for 150–300+ explaining who you help, problems you solve, your stack, and project types you want.
4. Professional identity and pricing
- Display name — single Skills Network display name (e.g. Alex).
- Experience level — set honestly; it feeds your AI band.
- Profile photo, location, languages, hourly rate, and minimum project fee — complete and consistent.
- Partner certification link (optional) — especially for Dynamic and Demer levels.
Skills Network readiness checklist weights
| Requirement | Weight | What to do |
|---|---|---|
| Government ID verified | 20% | Upload in Documents; admin verifies on approval |
| AI Report completed | 20% | Run after certification |
| Bio (80+ characters) | 12% | Write a specific, client-focused bio |
| Skills (5+) | 10% | Use relevant, specific skills |
| Resume verified | 10% | Upload on Public profile |
| Address proof verified | 10% | Documents tab |
| Display name & title | 8% each | Professional and consistent |
| Specializations (2+) | 6% | Clear niche tags |
| Portfolio case study | 6% | Work sample link or Portfolio tab project |
| Pricing set | 6% | Hourly rate + minimum project fee |
| Languages (1+) | 4% | Language + proficiency |
You need 100% readiness, a completed report, and availability set to visible to be publicly listed.
Playbook before your first run
- Write one strong case study link — problem → your role → stack → outcome (add metrics if you can).
- Add a Portfolio project that mirrors the case study.
- Align title, bio, skills, specializations, and case study around the same story.
- Upload ID, address proof, and resume so admin verification is clean.
- Set rates that match your experience level.
- Use your complimentary credits for the first run; read gaps and recommendations, improve your profile, then retake if needed.
What a strong result looks like
- Level signal aligns with how you create value (Native / Dynamic / Demer) — backed by evidence.
- Score: higher 0–100 with high confidence.
- Summary: cites real evidence — portfolio, skills depth, certifications.
- Strengths: specific; gaps: few and actionable.
- Recommendations: things you can fix directly on your profile.
Common mistakes to avoid
Listing skills with no work sample; generic bios; private or broken case study links; mismatch between experience level and pricing; running the report before your profile is rich (wastes credits); forgetting to set availability to visible after the report.
Bottom line
Focus on one credible work sample, aligned skills and bio, and complete verification — then run the report after admin certification. The AI rewards evidence and consistency, not just checking boxes.
FAQ
Common questions
What is the AI Skills Network Readiness Report?+
It is the final step before clients can discover you on the Gigs Hub Skills Network. The AI evaluates your saved profile, portfolio, certifications, and track record to produce a level signal, score, confidence, and recommendations.
When can I run the readiness report?+
After you finish Step 1 to 100%, submit for admin review, and receive certification. The report unlocks after approval, and complimentary AI credits are typically included in your approval email.
What improves my readiness report the most?+
Proof of work has the highest impact for new freelancers: a public case study link, portfolio projects, and alignment between title, bio, skills, and resume. The AI rewards evidence and consistency, not checklist boxes alone.
How much does the readiness report cost?+
Each readiness check uses AI credits from your wallet (typically 10 credits). Use complimentary credits for your first run after certification when possible.