job application fit reviewer
An objective audit tool that maps career materials to job descriptions to identify evidence gaps and role fit.
$5
Works with the AI Agents you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+21 moreClaude CodeCursorCodex CLIMuseDots
Manus
Grok
Grok Bot+18 agentsjob application fit reviewer
Example session with this skill installed
Review my resume and this Senior DevOps Engineer job description. Tell me if I'm a good fit and what's missing from my profile to get an interview. [Job Text] [Resume Text]
- Read your context and instructions
- Compiled the job application fit
I have completed a rigorous audit of your resume against the Senior DevOps Engineer requirements.
Role Fit Assessment
- Role Fit Score: 68%
Justification: You meet all technical "must-haves" for CI/CD and Kubernetes. However, the role requires "5+ years of AWS cost optimization" and your materials only mention AWS deployment without cost-related metrics or duration.
Requirement vs. Evidence Mapping
| Requirement (from Step 1) | Evidence in Materials? | Exact Quote/Location | Strength of Evidence |
|---|---|---|---|
| Kubernetes Orchestration | Yes | "Managed 50+ node EKS clusters" | Strong |
| Python/Go Scripting | Yes | "Automated tasks using Python" | Moderate |
| AWS Cost Optimization | No | N/A | Absent |
| Terraform/IaC | Yes | "Built stacks via Terraform" | Strong |
Positioning Consistency Analysis
The documents are largely consistent, positioning you as a technical individual contributor. However, your resume title says "DevOps Engineer" while your summary claims "Lead Infrastructure Architect," creating a slight mismatch in seniority expectations.
Weak Claims & Evidence Strength
- "Expert in Python scripting" - Weak. Needs specific examples of what you automated and the time saved.
- "Improved deployment frequency" - Moderate. Suggest adding the % improvement or deployments per day.
Missing Proof & Application Gaps
- Missing Proof: Evidence of AWS cost-management tools (CloudHealth, Trusted Advisor) or specific FinOps outcomes.
- Application Gaps: No mention of the required "On-call rotation experience" in the resume.
Prioritized Corrections
Critical: Add a bullet point to the AWS section specifically detailing cost-saving initiatives to address the 68% fit score.
2. High: Align the resume title and summary to a single professional identity (Senior DevOps Engineer).
3. Medium: Quantify the "Python scripting" claim with a specific project.
Highest-Value Next Action
Highest-Value Next Action: Improve the Resume by adding a dedicated bullet point under your most recent role that quantifies AWS cost savings and mentions specific FinOps tools.
Next steps
- Update your resume with the prioritized corrections.
- Re-run this check to see your updated Role Fit Score.
- Draft a cover letter specifically addressing the AWS cost management gap.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Applying for jobs feels like shouting into a void because your resume and cover letter often fail to explicitly map your experience to specific job requirements. Gaps in evidence or inconsistent positioning across documents lead to immediate rejection by both ATS and human recruiters.
What it does
- Deconstructs job descriptions into a structured matrix of must-have skills, preferred qualifications, and core responsibilities.
- Maps your career materials against those requirements to identify exactly where your evidence is strong, moderate, or absent.
- Calculates a Role Fit Score based on how well your documented experience meets the employer's stated needs.
- Audits your application for positioning consistency and flags weak, vague, or unsupported claims that need quantification.
- Produces a prioritized action plan to bridge evidence gaps and fix the most critical application weaknesses first.
Why this beats prompting it yourself
General prompts often hallucinate achievements or give generic "looks good" advice. This skill uses a rigid step-by-step mapping process that forces the AI to stay grounded in the provided text, ensuring you get a cold, objective audit of your actual evidence rather than a flattering but useless summary.
Use cases
- Pre-submission audit to verify a resume actually addresses the specific "must-haves" of a high-value job post.
- Cross-checking a LinkedIn profile against a resume to ensure professional identity and narrative consistency.
- Identifying which specific bullets in a resume need quantified metrics to move from "weak" to "strong" evidence.
- Determining whether a cover letter is actually adding value or just repeating resume bullet points without new context.
Known limitations
This skill requires both a job description and at least one career document to function. It will not invent data, search the internet for company info, or submit applications for you.
Requires both a job description and career materials. Cannot access external URLs or private job boards. Will not fabricate achievements or metrics not found in the input.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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