{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_fixmyresume","slug":"fixmyresume","name":"FixMyResume","type":"product","url":"https://www.fixmyresume.xyz","page_url":"https://unfragile.ai/fixmyresume","categories":["text-writing"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_fixmyresume__cap_0","uri":"capability://data.processing.analysis.job.description.parsing.and.keyword.extraction","name":"job-description-parsing-and-keyword-extraction","description":"Parses unstructured job postings to extract required skills, responsibilities, qualifications, and industry keywords using NLP-based entity recognition and semantic analysis. The system likely tokenizes job descriptions, applies named entity recognition (NER) for role titles and company names, and uses TF-IDF or embedding-based similarity to identify domain-specific keywords that should appear in tailored resumes. This enables downstream matching against user resume content.","intents":["I want to automatically identify which skills and keywords from a job posting I should emphasize in my resume","I need to understand what qualifications a specific role is actually asking for beyond the marketing language","I want to extract structured data (skills, experience level, certifications) from messy job descriptions to guide my resume edits"],"best_for":["job seekers applying to 10+ positions who need rapid keyword alignment without manual parsing","career changers trying to map transferable skills to new industry terminology"],"limitations":["Accuracy degrades on non-standard job posting formats (PDFs, images, poorly formatted text) — requires clean text input","Cannot disambiguate context-dependent keywords (e.g., 'Python' as language vs. Python the snake) without additional domain signals","May miss implicit requirements (e.g., 'startup experience' implied by company stage rather than explicitly stated)","No real-time job market trend analysis — treats each posting independently without competitive salary or demand context"],"requires":["Job posting text in plain text or HTML format","Minimum 200 characters of job description content for reliable extraction","Internet connection for API calls to NLP/embedding models (if cloud-based)"],"input_types":["text (job posting copy)","URL (job posting link for web scraping)"],"output_types":["structured JSON with extracted skills, qualifications, responsibilities","keyword list ranked by relevance/frequency","semantic tags (e.g., 'required', 'nice-to-have', 'industry-specific')"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_1","uri":"capability://data.processing.analysis.resume.job.matching.and.gap.analysis","name":"resume-job-matching-and-gap-analysis","description":"Compares extracted resume content (skills, experience, certifications) against parsed job requirements using embedding-based similarity and rule-based matching to identify gaps and alignment scores. The system likely vectorizes both resume sections and job requirements using a shared embedding space, computes cosine similarity, and flags missing or underemphasized skills. This produces a structured gap report showing which resume sections need enhancement to match the target role.","intents":["I want to see exactly which skills from the job posting are missing or weak in my current resume","I need a match score or compatibility percentage to know if I'm qualified for this role","I want to understand which resume sections to prioritize editing for maximum job relevance"],"best_for":["job seekers who want data-driven guidance on which resume edits will have the highest impact","career changers validating whether their background aligns with target roles before applying"],"limitations":["Matching is semantic/keyword-based and cannot assess actual competency depth — a resume mentioning 'Python' scores the same whether the candidate has 1 month or 5 years of experience","Cannot weight skills by importance (e.g., treating 'leadership' and 'Microsoft Word' equally if both appear in job posting)","False negatives on implicit skills (e.g., 'project management' inferred from 'led cross-functional team' may not match explicit 'project management' keyword)","No ATS (Applicant Tracking System) compatibility scoring — only semantic matching, not format/parsing compatibility"],"requires":["Parsed job description (output from job-description-parsing capability)","Structured resume data (skills, experience, certifications extracted from resume text)","Embedding model with sufficient vocabulary coverage for technical and domain-specific terms"],"input_types":["structured resume data (JSON with skills, experience sections)","structured job requirements (JSON with extracted skills, qualifications)"],"output_types":["gap analysis report (missing skills, underemphasized areas)","match score (0-100% alignment percentage)","prioritized recommendations (ranked by impact)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_10","uri":"capability://memory.knowledge.user.account.and.data.persistence","name":"user-account-and-data-persistence","description":"Manages user authentication, profile data, and persistent storage of resumes, job postings, and application history across sessions. The system likely uses a standard authentication mechanism (email/password, OAuth, or SSO) and stores user data in a database with appropriate access controls. This enables users to access their resume library and application history from any device without re-entering data.","intents":["I want to create an account and save my resume and job applications so I can access them later","I need to access my resume library and application history from my phone or a different computer","I want to ensure my resume data is secure and not shared with other users"],"best_for":["job seekers who want persistent, cross-device access to their resume library and application history","users who value data privacy and want assurance that their resume information is secure"],"limitations":["Free tier likely has storage limits (e.g., 5-10 resumes, 50 job postings) — premium tier may be required for higher limits","No data export or portability — users cannot easily export their data to use with other tools","Account recovery may be limited (e.g., no backup email, no two-factor authentication on free tier)","Data retention policy may delete inactive accounts after 6-12 months","No end-to-end encryption — user data is stored on company servers and subject to company privacy policy"],"requires":["User account (email address or social login)","Database backend for storing user data (resumes, jobs, applications)","Authentication system (email/password, OAuth, or SSO)","Optional: encryption for sensitive data (resume content, contact info)"],"input_types":["user credentials (email, password)","resume data (structured or file upload)","job posting data (URL, text, or file)","application records (manual entry)"],"output_types":["user account (profile, authentication token)","stored data (resumes, jobs, applications accessible across sessions)","optional: data export (JSON or CSV format)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_2","uri":"capability://text.generation.language.ai.powered.resume.rewriting.and.enhancement","name":"ai-powered-resume-rewriting-and-enhancement","description":"Generates tailored resume content by using an LLM (likely GPT-3.5/4 or similar) to rewrite existing resume sections with job-specific language, stronger action verbs, and quantified achievements. The system takes original resume text, job requirements, and gap analysis as context, then prompts the LLM to enhance bullet points while maintaining authenticity. This likely uses few-shot prompting with examples of strong resume language and constraints to prevent over-optimization or hallucination of false credentials.","intents":["I want AI to rewrite my resume bullet points to match this specific job posting without losing my authentic voice","I need help converting vague accomplishments into quantified, impact-driven statements that resonate with recruiters","I want to generate multiple resume variations for different job types without manually rewriting each one"],"best_for":["job seekers who struggle with resume writing or lack confidence in their ability to articulate achievements","high-volume applicants who need to generate 20+ tailored resumes quickly across similar roles"],"limitations":["LLM-generated content can hallucinate or exaggerate achievements if not carefully constrained — may suggest metrics or accomplishments the user didn't actually achieve","Over-optimization for keywords can result in awkward phrasing or loss of authentic professional voice if prompts aren't well-tuned","No fact-checking or verification — system assumes user input is accurate and won't flag false claims","Requires careful prompt engineering to avoid generic, template-like output that doesn't differentiate the candidate","May struggle with domain-specific jargon or niche industries where training data is sparse"],"requires":["Access to LLM API (OpenAI, Anthropic, or similar) with sufficient rate limits for batch processing","Original resume text in structured format (sections: experience, skills, education)","Parsed job requirements and gap analysis from prior capabilities","API key and authentication for LLM provider"],"input_types":["text (original resume bullet points, job description)","structured data (gap analysis, target skills, role level)"],"output_types":["rewritten resume sections (enhanced bullet points with stronger language)","multiple variations (alternative phrasings for A/B testing)","confidence scores (LLM's assessment of how well rewrite matches job requirements)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_3","uri":"capability://automation.workflow.resume.formatting.and.ats.optimization","name":"resume-formatting-and-ats-optimization","description":"Applies formatting rules and structural adjustments to ensure resume compatibility with Applicant Tracking Systems (ATS) by standardizing section headers, removing graphics/tables, optimizing whitespace, and ensuring consistent font/spacing. The system likely applies a rule-based formatter that validates against known ATS parsing limitations (e.g., avoiding multi-column layouts, ensuring standard section names like 'Experience' rather than 'Work History'). This may include optional ATS compatibility scoring based on common parsing failure patterns.","intents":["I want to ensure my resume won't be rejected or misread by ATS software before it reaches a human recruiter","I need to know if my resume formatting is ATS-compatible and what changes to make if it isn't","I want to maintain visual appeal while ensuring my resume parses correctly through automated systems"],"best_for":["job seekers applying to large companies with automated resume screening (Fortune 500, tech companies)","candidates with visually designed resumes who need to balance aesthetics with ATS compatibility"],"limitations":["ATS compatibility is heuristic-based and not guaranteed — different ATS systems have different parsing rules, and no single format works for all","Formatting constraints may result in less visually appealing resumes compared to design-forward alternatives","Cannot test against actual ATS systems (would require access to proprietary ATS software) — recommendations are based on known best practices","May over-constrain formatting, removing beneficial visual hierarchy that human recruiters would appreciate","No support for non-English resumes or localized formatting conventions"],"requires":["Resume text in structured format (sections, bullet points)","Optional: original resume file (PDF, DOCX) for format analysis","Knowledge of common ATS parsing rules and limitations"],"input_types":["text (resume content)","file (PDF, DOCX, or plain text resume)"],"output_types":["formatted resume (plain text or DOCX with ATS-safe formatting)","ATS compatibility score (0-100%)","formatting recommendations (specific changes to improve compatibility)","warnings (elements that may cause parsing issues)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_4","uri":"capability://automation.workflow.multi.resume.variant.generation.and.management","name":"multi-resume-variant-generation-and-management","description":"Enables users to create and manage multiple tailored resume versions for different job types or companies by storing base resume data and generating variants through selective content rewriting and reordering. The system likely maintains a canonical resume in a structured format (JSON or database), then applies job-specific transformations (skill reordering, section emphasis, bullet point selection) to generate variants without duplicating base content. This supports batch generation for high-volume job applications.","intents":["I want to create 5 different resume versions optimized for different job types (e.g., backend engineer, DevOps, full-stack) without manually editing each one","I need to track which resume version I sent to which company to follow up appropriately","I want to generate resumes in bulk for a job search campaign without manually tailoring each application"],"best_for":["active job seekers applying to 20+ positions across similar roles who need rapid variant generation","career changers creating multiple resume versions to target different industries"],"limitations":["Variant generation is deterministic based on job matching — if two jobs have similar requirements, variants may be nearly identical","No version control or rollback — users cannot easily revert to previous resume versions if a variant performs poorly","Requires structured resume data (JSON or database format) — not compatible with unstructured resume files without parsing","Batch generation can be slow if using LLM-based rewriting for many variants (API rate limits, latency)","No A/B testing framework — users cannot measure which resume variants perform better with recruiters"],"requires":["Structured resume data (skills, experience, education in JSON or database format)","Job posting data for each target role","Storage backend for managing resume variants (database or file system)","LLM API access for content rewriting (if using AI-powered enhancement)"],"input_types":["structured resume data (JSON with sections, bullet points)","job posting data (multiple job descriptions)","user preferences (which sections to emphasize per role)"],"output_types":["multiple resume variants (one per job or job type)","variant metadata (job matched, skills emphasized, generation timestamp)","downloadable resume files (PDF, DOCX, plain text)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_5","uri":"capability://data.processing.analysis.resume.upload.and.parsing","name":"resume-upload-and-parsing","description":"Accepts resume files (PDF, DOCX, plain text) and extracts structured data (sections, bullet points, skills, experience, education) using document parsing and NLP-based section recognition. The system likely uses PDF/DOCX libraries to extract text, then applies rule-based or ML-based section detection to identify resume components (e.g., 'Experience', 'Skills', 'Education') and parse bullet points into structured records. This enables downstream capabilities to work with resume content without manual data entry.","intents":["I want to upload my existing resume and have the system automatically extract and structure my experience, skills, and education","I need to convert my resume from PDF/DOCX into a format the system can analyze and tailor","I want to avoid manually re-entering my resume information and instead let AI parse it automatically"],"best_for":["job seekers with existing resumes who want to quickly onboard without manual data entry","users with complex resume formats (multiple columns, graphics, non-standard layouts) who need automated parsing"],"limitations":["Parsing accuracy degrades on non-standard resume formats (creative designs, graphics-heavy layouts, multiple columns) — may miss or misclassify sections","Cannot extract implicit information (e.g., 'leadership' inferred from 'managed team of 5' may not be recognized as a skill)","Struggles with non-English resumes or localized formatting conventions","May misinterpret dates, company names, or job titles if formatting is inconsistent or ambiguous","No OCR for image-based resumes or scanned PDFs — requires text-based input","Loses visual formatting (colors, fonts, emphasis) during extraction — cannot preserve original design intent"],"requires":["Resume file in supported format (PDF, DOCX, plain text, or HTML)","File size under reasonable limit (typically <10MB)","Text-based resume (not image/scanned) for reliable parsing","PDF/DOCX parsing libraries (e.g., PyPDF2, python-docx, or cloud-based document parsing APIs)"],"input_types":["file (PDF, DOCX, TXT, HTML resume)"],"output_types":["structured resume data (JSON with sections: experience, skills, education, contact info)","parsed bullet points (individual achievement statements)","extracted metadata (job titles, company names, dates, locations)","parsing confidence scores (per section, indicating extraction reliability)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_6","uri":"capability://memory.knowledge.job.posting.import.and.storage","name":"job-posting-import-and-storage","description":"Allows users to input job postings (via URL, copy-paste, or file upload) and stores them for later reference and matching against resume variants. The system likely validates input format, extracts metadata (job title, company, URL, posting date), and stores the posting in a database for retrieval and comparison. This enables users to track which jobs they've applied to and maintain a history of tailored resumes per job.","intents":["I want to save job postings I'm interested in and link them to the resume versions I created for each one","I need to keep a record of jobs I've applied to with the tailored resume I sent for each application","I want to compare multiple job postings to identify common skill requirements across roles"],"best_for":["active job seekers managing 10+ applications who need to track which resume they sent to which job","users who want to analyze patterns across multiple job postings (e.g., 'what skills are most in-demand?')"],"limitations":["Storage is limited by user account (free tier likely has storage caps, e.g., 50-100 job postings)","No real-time job market analysis — system stores individual postings but doesn't aggregate trends across the job market","Job posting URLs may become stale or inaccessible — no archival or snapshot functionality","Cannot automatically detect duplicate job postings (same role at same company posted multiple times)","No integration with job boards (LinkedIn, Indeed, etc.) — requires manual import"],"requires":["User account with storage backend (database or file system)","Job posting input (URL, plain text, or file)","Optional: web scraping capability for URL-based imports"],"input_types":["URL (job posting link)","text (copy-pasted job description)","file (PDF or text file with job posting)"],"output_types":["stored job posting record (metadata + full text)","job posting list (user's saved jobs with metadata)","job-resume linkage (which resume was sent for which job)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_7","uri":"capability://data.processing.analysis.skill.extraction.and.profiling","name":"skill-extraction-and-profiling","description":"Identifies and catalogs skills mentioned in resume and job postings, normalizing skill names (e.g., 'Python', 'python', 'Python 3.9' → 'Python') and categorizing them (technical, soft, domain-specific). The system likely uses a skill taxonomy or knowledge base (e.g., mapping variations to canonical skill names) combined with NLP-based extraction to identify skills even when phrased differently. This enables skill-based matching and gap analysis across multiple resumes and jobs.","intents":["I want to see a comprehensive list of all skills mentioned in my resume and identify gaps compared to job requirements","I need to understand which of my skills are most in-demand across the jobs I'm targeting","I want to normalize skill names so that 'REST APIs', 'HTTP services', and 'web services' are recognized as related skills"],"best_for":["job seekers who want data-driven insights into their skill profile and market demand","career changers analyzing which of their existing skills transfer to target roles"],"limitations":["Skill taxonomy is static and may not include emerging technologies or niche skills — new tools/frameworks may not be recognized","Cannot assess skill proficiency level (e.g., 'Python' could mean beginner or expert) — only presence/absence","May conflate unrelated skills with similar names (e.g., 'Java' the language vs. 'Java' the island)","Depends on quality of underlying skill taxonomy — if taxonomy is incomplete or outdated, extraction will be inaccurate","No context for skill relevance — treats all skills equally regardless of importance for target role"],"requires":["Skill taxonomy or knowledge base (mapping skill variations to canonical names)","Parsed resume and job posting data (text with skills mentioned)","NLP model for skill entity recognition (or rule-based extraction with skill dictionary)"],"input_types":["text (resume or job posting content)","structured data (parsed resume sections, job requirements)"],"output_types":["skill list (extracted skills with categories: technical, soft, domain-specific)","skill profile (user's skills with frequency/emphasis)","skill gaps (skills required by job but missing from resume)","skill demand analysis (which skills appear most frequently across target jobs)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_8","uri":"capability://automation.workflow.resume.download.and.export","name":"resume-download-and-export","description":"Generates downloadable resume files in multiple formats (PDF, DOCX, plain text) from the tailored resume data, applying formatting rules and optional styling. The system likely uses document generation libraries (e.g., python-docx, ReportLab, or cloud-based document APIs) to convert structured resume data into formatted files while preserving ATS compatibility. This enables users to download and submit tailored resumes to job applications.","intents":["I want to download my tailored resume as a PDF or Word document to submit to a job application","I need to export my resume in multiple formats for different submission methods (email, online form, LinkedIn)","I want to ensure my downloaded resume maintains ATS compatibility and formatting consistency"],"best_for":["job seekers who need to submit resumes in specific formats required by job applications","users who want to maintain consistent formatting across multiple resume variants"],"limitations":["PDF export may have font/encoding issues on some systems — consistency not guaranteed across platforms","DOCX export may lose some formatting when opened in different versions of Microsoft Word or Google Docs","File size can be large if resume includes embedded images or complex formatting","No support for advanced resume designs (graphics, custom fonts, multi-column layouts) — export is optimized for ATS compatibility, not visual appeal","Downloaded files are static — changes to resume in the app don't automatically update downloaded files"],"requires":["Structured resume data (JSON or database format)","Document generation library (python-docx, ReportLab, or cloud API)","Formatting rules and templates for consistent output","File storage or streaming capability for download delivery"],"input_types":["structured resume data (JSON with sections, bullet points, formatting preferences)"],"output_types":["PDF file (formatted resume)","DOCX file (editable Word document)","TXT file (plain text resume)","optional: HTML file (web-viewable resume)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_fixmyresume__cap_9","uri":"capability://memory.knowledge.job.application.tracking.and.history","name":"job-application-tracking-and-history","description":"Maintains a record of job applications submitted, including job posting, resume version used, submission date, and optional follow-up notes. The system likely stores application records in a database linked to job postings and resume variants, enabling users to track application status and maintain follow-up reminders. This provides a centralized view of the user's job search progress and history.","intents":["I want to keep track of all the jobs I've applied to and which resume version I sent for each one","I need reminders to follow up with companies after submitting my application","I want to see my job search progress and identify which applications have received responses"],"best_for":["active job seekers managing 10+ concurrent applications who need to track follow-ups","users who want to analyze their job search effectiveness (e.g., application-to-interview conversion rate)"],"limitations":["No integration with email or ATS systems — users must manually log applications or rely on manual entry","Follow-up reminders are passive (notifications) — no active outreach or email integration","Cannot track application status beyond user's manual updates (e.g., 'rejected', 'interview scheduled') — no integration with job board or company systems","Limited to free tier storage caps — users with 100+ applications may hit storage limits","No analytics or insights beyond basic tracking (e.g., no conversion rate analysis, no salary/location trends)"],"requires":["User account with database backend for storing application records","Linked job posting and resume variant data","Optional: email or notification system for follow-up reminders"],"input_types":["job posting data (linked from saved jobs)","resume variant data (linked from generated resumes)","user input (submission date, follow-up notes, status updates)"],"output_types":["application record (job, resume, submission date, status, notes)","application list (all submitted applications with metadata)","follow-up reminders (upcoming follow-up dates)","application statistics (total submitted, pending responses, etc.)"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Job posting text in plain text or HTML format","Minimum 200 characters of job description content for reliable extraction","Internet connection for API calls to NLP/embedding models (if cloud-based)","Parsed job description (output from job-description-parsing capability)","Structured resume data (skills, experience, certifications extracted from resume text)","Embedding model with sufficient vocabulary coverage for technical and domain-specific terms","User account (email address or social login)","Database backend for storing user data (resumes, jobs, applications)","Authentication system (email/password, OAuth, or SSO)","Optional: encryption for sensitive data (resume content, contact info)"],"failure_modes":["Accuracy degrades on non-standard job posting formats (PDFs, images, poorly formatted text) — requires clean text input","Cannot disambiguate context-dependent keywords (e.g., 'Python' as language vs. Python the snake) without additional domain signals","May miss implicit requirements (e.g., 'startup experience' implied by company stage rather than explicitly stated)","No real-time job market trend analysis — treats each posting independently without competitive salary or demand context","Matching is semantic/keyword-based and cannot assess actual competency depth — a resume mentioning 'Python' scores the same whether the candidate has 1 month or 5 years of experience","Cannot weight skills by importance (e.g., treating 'leadership' and 'Microsoft Word' equally if both appear in job posting)","False negatives on implicit skills (e.g., 'project management' inferred from 'led cross-functional team' may not match explicit 'project management' keyword)","No ATS (Applicant Tracking System) compatibility scoring — only semantic matching, not format/parsing compatibility","Free tier likely has storage limits (e.g., 5-10 resumes, 50 job postings) — premium tier may be required for higher limits","No data export or portability — users cannot easily export their data to use with other tools","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.72,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.892Z","last_scraped_at":"2026-04-05T13:23:42.561Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=fixmyresume","compare_url":"https://unfragile.ai/compare?artifact=fixmyresume"}},"signature":"D+Mvk9j8CbT3pZIIYvfZf4WmhCld36KD+MhtMnJWynYdFho87Gszl31VUDhOH3ME4NfyRpnT9tg3P8PGdVNIAQ==","signedAt":"2026-06-20T04:26:19.182Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/fixmyresume","artifact":"https://unfragile.ai/fixmyresume","verify":"https://unfragile.ai/api/v1/verify?slug=fixmyresume","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}