# Send UK Resume Analyzer & Optimizer to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "resume-optimizer-uk", "name": "UK Resume Analyzer & Optimizer", "source": "tencent", "type": "skill", "category": "效率提升", "sourceUrl": "https://clawhub.ai/phonedog/resume-optimizer-uk", "canonicalUrl": "https://clawhub.ai/phonedog/resume-optimizer-uk", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/resume-optimizer-uk", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=resume-optimizer-uk", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/analyze_resume.py", "scripts/generate_optimized.py", "scripts/parse_resume.py", "references/ats_keywords.md", "references/resume_templates.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "resume-optimizer-uk", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-01T14:43:01.840Z", "expiresAt": "2026-05-08T14:43:01.840Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=resume-optimizer-uk", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=resume-optimizer-uk", "contentDisposition": "attachment; filename=\"resume-optimizer-uk-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "resume-optimizer-uk" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/resume-optimizer-uk" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/resume-optimizer-uk", "downloadUrl": "https://openagent3.xyz/downloads/resume-optimizer-uk", "agentUrl": "https://openagent3.xyz/skills/resume-optimizer-uk/agent", "manifestUrl": "https://openagent3.xyz/skills/resume-optimizer-uk/agent.json", "briefUrl": "https://openagent3.xyz/skills/resume-optimizer-uk/agent.md" } } ``` ## Documentation ### Resume Analyzer Analyze resumes against job descriptions and generate optimized versions with detailed annotations. ### When to Use User provides a resume file (.docx) and wants analysis User provides both resume and JD for matching analysis User wants ATS optimization suggestions User wants quantified achievements and stronger bullet points User wants an optimized version with explanations ### Step 1: Load & Parse Resume Use scripts/parse_resume.py to extract content from .docx: python scripts/parse_resume.py --output parsed_resume.json ### Step 2: Five-Dimension Analysis Run analysis script with JD (if provided): python scripts/analyze_resume.py parsed_resume.json [--jd job_description.txt] --output analysis_report.json The analysis covers: JD Match Score (0-100): Keyword overlap, skills alignment Quantification Score (0-100): Presence of metrics, numbers, percentages Structure Logic (0-100): Section order, readability, hierarchy Language Professionalism (0-100): Action verbs, clarity, conciseness ATS-Friendliness (0-100): Format, keywords, standard sections ### Step 3: Interactive Q&A Present the 5-dimension report and ask follow-up questions: Questions to ask (user can select or type): Which role at [Company X] had the biggest impact? What were the measurable results? Any specific project with quantifiable outcomes (revenue, users, efficiency)? Tools/technologies used that aren't mentioned? Any awards, recognition, or leadership experiences to highlight? Education details: GPA, relevant coursework, projects? Store answers in supplemental_data.json. ### Step 4: Generate Optimized Version python scripts/generate_optimized.py \\ parsed_resume.json \\ analysis_report.json \\ supplemental_data.json \\ --output optimized_resume.docx \\ --backup original_backup.docx Output files: original_backup.docx: Clean copy of original optimized_resume.docx: Optimized version with Word comments explaining every change ### Step 5: Summary Output Present to user: Original vs Optimized comparison (key changes) Score improvements (Before → After for each dimension) File locations ### CAR Method for Bullet Points Transform vague descriptions into CAR format: Context: What was the situation? Action: What did YOU specifically do? Result: What was the measurable outcome? Example transformation: ❌ "Responsible for managing team and improving processes" ✅ "Led 8-person logistics team (Context), implemented new WSSI forecasting system (Action), reducing stockouts by 35% and saving £120K annually (Result)" ### ATS Optimization Rules Use standard section headers: Experience, Education, Skills (not fancy variations) Include full keywords from JD: If JD says "Supply Chain Optimization", use exact phrase Avoid tables, headers/footers, graphics: ATS may not parse them File format: .docx preferred over PDF for ATS ### Quantification Guidelines Always seek numbers: Revenue: £X, $X, % growth Scale: X team members, X regions, X SKUs Efficiency: X% faster, X% cost reduction, X hours saved Impact: X customers, X users, X% satisfaction improvement ### Reference Materials ATS Keywords: See references/ats_keywords.md for industry-specific keyword lists Resume Templates: See references/resume_templates.md for UK professional format examples Action Verbs: See references/action_verbs.md for strong starters ### Output Format The optimized resume should: Maintain user's original structure (unless severely flawed) Add quantifiable metrics where possible Use CAR format for bullet points Include all JD keywords naturally Have Word comments on EVERY change explaining the rationale Comment format in Word: Location: [Section - Bullet Point] Change: [Original → Modified] Reason: [Why this improves the resume] Evidence: [Based on user's answer / JD requirement / Best practice] ## Trust - Source: tencent - Verification: Indexed source record - Publisher: phonedog - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-01T14:43:01.840Z - Expires at: 2026-05-08T14:43:01.840Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/resume-optimizer-uk) - [Send to Agent page](https://openagent3.xyz/skills/resume-optimizer-uk/agent) - [JSON manifest](https://openagent3.xyz/skills/resume-optimizer-uk/agent.json) - [Markdown brief](https://openagent3.xyz/skills/resume-optimizer-uk/agent.md) - [Download page](https://openagent3.xyz/downloads/resume-optimizer-uk)