skeeled Integration
Bring Skima Intelligence to skeeled
Skima AI delivers explainable AI match scores, reasons, and shortlist feedback loops directly within skeeled's workflow. No system switching or workflow disruption.
What You'll See in skeeled ATS with Skima AI
When you integrate Skima AI with skeeled ATS, your recruiting team gains AI-driven candidate intelligence directly within skeeled's workflows.
AI Match Scores (0-100) are attached to each candidate application.
Bullet points explaining why the candidate matches the JD.
"Skima Screened" Tag for instant filtering.
Shortlist page for hiring managers (Approve/Skip + optional note).
Activity notes capturing AI reasons and manager feedback for audit trail.
AI-ranked top candidates as new applications arrive. This ensures your team focuses on the most qualified candidates first.
Why skeeled Recruiting Teams Pick Skima AI
Skeeled users integrate Skima AI because it enhances their platform's existing predictive capabilities, while staying within Skeeled's intuitive interface.
Stay in One System
All Skima AI scores, reasoning, and feedback appear directly in skeeled alongside native screening tools.
Simplified Manager Collaboration
Share shortlist links for feedback; Skima AI syncs all actions to skeeled's activity timeline.
Always-Fresh Rankings
New applicants are instantly scored via skeeled's API for real-time ranking updates.
Candidate Rediscovery
Skima AI revives qualified candidates from your skeeled database for new roles.
What Skima AI Writes Back to skeeled ATS
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Candidate Comment/Note | SKIMA Match Score | Number (0–100) | 82 |
| Candidate Comment/Note | SKIMA Reasons | Long text (3–5 bullets) | "5 yrs sales; CRM expert; team lead" |
| Candidate Comment/Note | Shortlist Link | URL | https://…/shortlist/xyz |
| Candidate Tag | SKIMA Screened | Custom tag | SKIMA Screened |
| (Optional) Candidate Comment/Note | HM Feedback | Enum | 👍 / 👎 / Maybe |
| (Optional) Candidate Comment/Note | HM Comment | Short text | Ready for phone screen; ask about remote preference |
| (Optional) Candidate Stage | Stage Move | Stage change | Move to "Shortlist Ready" |
Note: skeeled's API supports activity comments, custom tags, and candidate status/stage updates. Skima AI leverages these native fields to write back comprehensive scoring and feedback without requiring custom field extensions
How Does the Shortlist Loop Work?
Skima AI accelerates hiring collaboration inside skeeled by creating a feedback loop, ensuring hiring managers and recruiters are aligned.
Recruiter Shares Shortlist
Generates a secure no-login link shared via comment or email with hiring managers.
Manager Gives Feedback
Managers rate 👍, 👎, or "Maybe" and add optional notes for context.
Skima AI Updates skeeled
Feedback and notes sync automatically to skeeled with timestamps and manager names.
Recruiter Acts on Insights
Recruiters view AI rankings with feedback to advance candidates confidently through skeeled workflows.
The result is Real-time collaboration, faster decisions, transparent reasoning, and a complete audit trail —all within skeeled's native interface.
Field Map for skeeled ATS Integration
A clear data flow map helps skeeled recruiting teams and IT admins understand exactly what Skima AI pulls in and pushes back
Skima AI securely retrieves the following data from skeeled to power AI-driven candidate scoring and rediscovery:
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Candidate Data: Name, contact info, location, LinkedIn URL, and custom tags.
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Application Data: Resume, screening responses, timestamp, and source.
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Job Details: Title, description, skills, department, location, and experience level.
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Application Status: Workflow stage, tags, and manager notes.
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Historical Data: Past applications, stages, assessments, and feedback.
After scoring and ranking candidate applications against job requirements, Skima AI writes structured results back into skeeled using native comment, tag, and stage management:
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Candidate Comment: "Skima AI Match Score [0–100]" with rationale and confidence level.
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Candidate Comment: "Skima AI Reasons" explaining skills, experience, and cultural fit.
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Candidate Tag: "SKIMA Screened" for quick filtering and tracking.
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Candidate Comment: "Skima Shortlist Link: [URL]", providing a secure manager voting interface.
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Candidate Comment: "HM Feedback [👍/👎/Maybe] + note" capturing decisions.
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(Optional) Stage Change: Auto-move candidates to the next workflow stage.
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(Optional) Candidate Comment: Skima AI Evidence summary for detailed documentation and compliance auditing.
This bidirectional data sync ensures hiring managers always see real-time AI insights and manager feedback within skeeled's natural candidate management flow
Set up Your skeeled Integration
Skima AI + skeeled integration is straightforward, secure, and requires minimal IT effort.
Below are the 5 easy steps to set up your skeeled integration:
Generate an API token in skeeled with permissions to read candidates, jobs, applications, and write comments, tags, and stages. Store securely.
Provide Skima AI with your API endpoint for polling every 10–15 minutes or enable webhooks for real-time syncing.
Add the "SKIMA Screened" tag, custom stages like "AI Reviewed," and grant Skima AI permission to update candidate records.
Run tests on 2–3 jobs, verify scores in comments, shortlist voting, and decision sync back to skeeled.
Activate on 3–5 roles, track performance metrics, and review ROI in 15- and 30-day checkpoints.
Security &
Responsible AI
for skeeled
Integrations
Trust and compliance are essential when integrating Skima AI with skeeled ATS. Our approach keeps candidate data secure, ensures AI decisions are transparent, and complies with skeeled's security standards
- Skima AI provides match scores and reasoning based on resume data and job requirements, never auto-rejecting candidates. Hiring managers make final hiring decisions.
- All AI analysis, match scores, and comments are logged in skeeled, ensuring a complete audit trail.
- Candidate data in transit between skeeled and Skima AI is encrypted (TLS 1.2+). GDPR-ready data protection standards are upheld throughout the integration.
- Only authorised team members can view Skima AI scores and shortlist links. Redaction modes can conceal sensitive data from specific users.
- Encryption in transit and at rest, Data Processing Agreements available, SOC 2 Type II certification, and GDPR-compliant data handling are in place.
Skima AI combines explainable, evidence-based candidate scoring with strict security practices, ensuring your skeeled integrations remain compliant, auditable, fair, and free from bias while respecting candidate privacy.
Customer Snapshot: 30-Day Pilot with skeeled ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
FAQs
Everything you need to know about the skeeled Integrations
Does Skima AI integrate with skeeled ATS? How does it work?
Yes, Skima AI connects via skeeled's REST API to pull candidate applications and job data, score candidates against job requirements, and write back match scores, reasoning, and hiring manager feedback as comments and tags within skeeled's candidate records.
What data does Skima AI pull from skeeled?
Skima AI retrieves candidate name, email, phone, location, LinkedIn profile, resume, application responses, job title/description, required skills, current application stage, tags, and past applications for rediscovery across multiple roles.
Where do Skima AI match scores appear in skeeled?
Match scores and AI reasoning appear as comments on the candidate record, in the candidate's activity timeline. Hiring managers see scores alongside all other candidate notes and interactions within skeeled's native interface.
How long does the skeeled integration setup take?
skeeled integration setup takes 60–90 minutes, including API credential generation, webhook/polling configuration, custom tag and stage setup, and validation on 2–3 pilot job postings.
Does Skima AI require webhooks to work with skeeled?
Webhooks optimize real-time updates, but Skima AI can work with skeeled's safe 10–15 minute polling if webhooks aren't available. Check with your skeeled admin for webhook support.
Can hiring manager feedback stay inside skeeled?
Yes. Hiring manager votes (👍/👎/Maybe) and comments are automatically written back to skeeled as candidate comments, keeping all feedback within the platform's timeline and activity log.
What if our team has limited API permissions in skeeled?
Skima AI requires read access to candidates, applications, and job postings, plus write access to candidate comments and tags. If permissions are restricted, work with your skeeled admin to grant Skima AI the necessary scopes.
Does Skima AI support skeeled's custom workflows and stages?
Yes. Skima AI is designed to work with skeeled's flexible workflow stages. You can configure Skima AI to move candidates to any custom stage (e.g., "Shortlist Ready," "Interview Stage") based on score thresholds or manager approval.
Can Skima AI automatically move candidates through skeeled stages?
Stage moves are optional and configurable. Most teams prefer recruiter-controlled progression, though automated moves to specific stages (e.g., "Skima Screened," "Shortlist Ready") can be enabled for streamlined workflows.
How often are Skima AI match scores refreshed in skeeled?
Match scores are updated when new applications arrive or candidate information changes. Skima AI polls skeeled every 10–15 minutes by default, or updates in real-time if webhooks are configured for new application events.