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Grok Bot+18 agentsResumeProof Match
Evidence-backed resume–JD matching, truthful rewrites, and approval-gated delivery.
$6.66
ResumeProof Match
Example session with this skill installed
Compare my current resume with this Growth Marketing Manager JD. Show which must-have requirements are supported, need confirmation, or are missing; explain every conclusion with evidence from my resume; recommend only truthful edits; and stop for my approval before generating any PDF or DOCX.
- Read your context and instructions
- Compiled the resumeproof match
Recommendation: Apply after two checks
The resume shows strong campaign ownership and measurable optimization work. The main uncertainty is not keyword coverage: it is whether partner activation and English collaboration can be supported by specific examples. I would verify those two points before finalizing the tailored resume.
Three separate signals
| Signal | Score | What it means |
|---|---|---|
| Role fit | 82/100 | Most core responsibilities are supported; one must-have needs confirmation. |
| Evidence coverage | 76/100 | Several strong outcomes exist, but partner-management evidence is still thin. |
| Document readiness | 68/100 | The facts are useful, but the current bullets do not make ownership and causality easy to scan. |
Requirement-level evidence map
| JD requirement | Status | Resume evidence | Decision |
|---|---|---|---|
| Own campaigns end to end | Supported | Managed channel brief, budget, launch schedule, and post-campaign review for paid media programs. | Keep and move higher. |
| Optimize CPA and conversion funnels | Supported | Used audience and creative A/B tests to reduce registration cost by 28%. | Rewrite to connect action and result. |
| Use analytics and tracking | Supported | Worked with GA4, UTM conventions, and weekly registration/deposit analysis. | Add the decision enabled by the analysis. |
| Activate affiliates or partners | Needs confirmation | Resume names media channels but does not show partner recruitment, enablement, or retention. | Ask for a concrete example; do not imply ownership yet. |
| Work comfortably in English | Needs confirmation | Cross-regional work is visible, but English as a working language is not explicitly evidenced. | Confirm before adding. |
Proposed edit
Original
Adjusted campaign mix through audience and creative A/B tests, reducing registration cost by 28%.
Suggested version
Owned audience and creative A/B tests across paid campaigns, reallocating budget to the strongest combinations and reducing registration cost by 28%.
Why this change
The result was already credible, but the original did not show who made the decision or how the test changed allocation. The revision makes ownership, method, and outcome visible without adding a new claim.
Do not add yet
- Affiliate recruitment or retention ownership
- English fluency as a confirmed qualification
- Any metric that does not appear in the evidence ledger
Next step
Please confirm the two unresolved items above and review the complete text draft. I will not generate formatted files until you approve the full text.
Connects securely to your tools. The creator never sees your data.
About this skill
ResumeProof Match is an end-to-end, evidence-first workflow for AI agents. It turns a resume and a target job description into an explainable application decision, a truthful tailored draft, and versioned final files that have been checked against the text the user actually approved.
What it does
- Classifies JD requirements as must-have, nice-to-have, or must-not.
- Builds a claim-to-source evidence ledger from the resume and supporting material.
- Maps every requirement to confirmed, needs-confirmation, or unsupported evidence.
- Keeps role fit, evidence coverage, and document readiness as separate signals.
- Produces a gap report, hard-gate recommendation, and evidence-backed edits.
- Requires approval of the complete text before any formatted resume is generated.
- Binds QA and delivery records to exact file hashes, preventing stale approvals or checks from being reused.
Why it is different
Keyword overlap alone cannot tell whether a candidate truly meets a requirement. ResumeProof Match preserves the original JD wording, points to the exact resume evidence behind each conclusion, and refuses to invent missing experience, tools, metrics, dates, titles, or language ability. Its score is an explainable rubric, not a fabricated ATS probability.
How the workflow runs
- Ingest a resume, JD, and optional supporting evidence.
- Build and confirm the evidence ledger.
- Review requirement-level matches, conflicts, gaps, and the apply / verify first / skip recommendation.
- Review proposed edits with the original text, revised version, and reason.
- Approve the complete plain-text resume.
- Generate, inspect, QA, and deliver versioned PDF or editable files.
Portable by design
The deterministic helper uses the Python standard library for workspace setup, scoring, approval records, QA binding, and versioned delivery. Optional PDF text inspection can use pypdf or pdftotext. No account, database, vector store, or hosted backend is required for the skill itself.
Use cases
- Decide whether a role is worth applying for.
- Find real qualification gaps before rewriting.
- Tailor a resume without hallucinating achievements.
- Maintain a review-first resume workflow across multiple applications.
- Produce auditable final files that match the approved text.
Live web app: https://resumeproof.szw19990924.chatgpt.site/match/new Source and documentation: https://github.com/caihhhhhh/resume-proof-match
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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Requires
Python
Node.js