Results for “resume-optimization”

Optimize a LinkedIn profile — headline, about, experience, and keywords — for recruiter search and credibility.

Create ATS-optimized resumes and CVs with proper structure, metrics, and industry targeting.

Write or tailor a resume to a specific target role with metric-driven impact bullets that pass ATS and recruiter skim.

Generates a modern, minimalist A4 single-page resume template optimized for printing or PDF export, with a two-column layout and clean typography.

基于 Modular RAG MCP Server 项目生成定制化简历项目经历。结合项目技术亮点与用户业务场景，按简历编写原则输出高质量项目描述（中英文）。Use when user says '写简历', 'resume', '简历', 'write resume', '项目经历', 'project experience', '简历项目', or asks to generate resume content based on this project.

Optimizes database queries and improves performance across PostgreSQL and MySQL systems by analyzing execution plans, designing index strategies, and tuning configurations.

基于 Modular RAG MCP Server 项目生成定制化简历项目经历。结合项目技术亮点与用户业务场景，按简历编写原则输出高质量项目描述（中英文）。Use when user says '写简历', 'resume', '简历', 'write resume', '项目经历', 'project experience', '简历项目', or asks to generate resume content based on this project.

基于 Modular RAG MCP Server 项目生成定制化简历项目经历。结合项目技术亮点与用户业务场景，按简历编写原则输出高质量项目描述（中英文）。Use when user says '写简历', 'resume', '简历', 'write resume', '项目经历', 'project experience', '简历项目', or asks to generate resume content based on this project.

Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances.

Reviews resumes for formatting, design, content, and job-specific fit; scores job postings for fit and interview odds; develops rubrics; extracts content from conversations; and audits the resume generation pipeline.

Diagnose and optimize existing slow SQL queries using execution plans, indexing strategies, query rewriting, and ORM tuning. Use when the user provides a query, performance symptom, or EXPLAIN plan; use sql-query-generation when creating a new query from requirements.

Resume Tailor

Provides end-to-end job search support through five specialized agents: story mining, job recommendation, resume optimization, mock interviews, and skill gap analysis, with scripts to generate resume files in multiple formats.

Optimize SQL queries, indexes, and database performance across MySQL, PostgreSQL, SQL Server, and Oracle with execution plan analysis and universal tuning techniques.

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

Convert a resume PDF to clean markdown for LLM parsing or candidate pipelines.

The instruction to profile before optimizing survives because intuition about

Professional CV and resume builder transforming career narratives into ATS-optimized, multi-format resumes. Integrates with career-biographer for data and competitive-cartographer for positioning. Generates PDF, DOCX, LaTeX, JSON Resume, HTML, and Markdown. Activate on 'resume', 'CV', 'ATS optimization', 'job application'. NOT for cover letters, portfolio websites (use web-design-expert), LinkedIn optimization, or interview preparation.

Optimize context usage for the session by reducing bloat, improving token efficiency, and focusing on relevant areas. Use when context is growing large, responses are slow, or switching between unrelated tasks. Covers context analysis, compacting, targeted pruning, MCP-first strategies, and focused scoping by area.

Optimize the cited draft against Semrush ContentShake AI scores. Calls .claude/skills/optimize-content/scripts/contentshake_optimize.py for SEO + Quality scoring + recommendations, then judgment-rewrites the additions in brand voice. Iterates until both scores ≥ 8 or voice drift triggers a rollback. No Chrome MCP, no TipTap injection — pure API.

Optimizes SQL queries with execution plan analysis, index suggestions, and query rewriting

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Improve existing content and close the learning loop without cannibalizing new-content work.

Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.

Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.

Optimize PostgreSQL queries, configure replication, and implement advanced database features with EXPLAIN analysis, JSONB operations, extension usage, and VACUUM tuning.

Iteratively improves a compiled LaTeX paper through two rounds of external LLM review, fix implementation, and recompilation.

Use the status-briefing skill to run `pk-reconcile session-start`, then

Conversion rate optimization for marketing pages and lead-capture forms. Use when the user wants to improve conversions on a homepage, landing page, pricing page, feature page, blog CTA, contact form, demo form, or campaign page. For product onboarding use user-onboarding; for lifecycle email use marketing-automation; for pricing and paywalls use pricing-strategy; for A/B testing use ab-test-setup.

Screens resumes with skill matching, experience evaluation, and bias-free candidate ranking

中文可编辑简历制作技能：根据用户经历选择或复刻模板，生成可编辑 HTML 简历并提供 PDF 导出；当用户输入“/resume”或要求制作、修改、复刻简历文件时使用。

Optimize non-signup forms such as lead capture, contact, demo request, application, survey, quote, and checkout forms to maximize completion while preserving data usefulness.

Optimize a complete candidate context package by deduplicating, filtering, ordering, and allocating its token budget. Use when retrieved or assembled material is noisy or exceeds the useful context budget; use context-ranking for scoring chunks and context-compression for shrinking selected content.