Results for “job-description-parsing”

Helps software engineers with discrete job search tasks: job description analysis, CV tailoring, cover letter writing, offer evaluation, and follow-up emails.

Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure.

Assists with job applications: evaluating job postings, tailoring CVs, writing cover letters, and preparing for interviews. Triggers on keywords like: job posting, job application, CV, cover letter, resume, interview prep, job fit, career, application, apply, ansøgning, stilling

Scrapes Danish job sites for new positions matching your profile. Deduplicates across runs. Triggers on: job scrape, find jobs, search jobs, new jobs, job search, scrape jobs, /scrape

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.

Upwork proposal writer that decodes a job posting and produces a tailored, ready-to-send proposal. Use when the user pastes an Upwork job posting, asks to write or improve a proposal, wants to score a draft, asks 'should I apply to this', wants Connects/budget advice, or needs scripts for after a client replies. Triggers: 'write an Upwork proposal', 'decode this job posting', 'score my proposal', 'should I apply', 'how many Connects', 'client replied, what do I say'.

Turns messy business process descriptions into structured workflows, classifies each step for automation potential using a GREEN/YELLOW/RED framework, and produces a prioritized automation roadmap with time savings estimates.

Task Decomposition

Use this skill when creating or updating PR descriptions. Provides detailed guidelines for writing clear, comprehensive pull request descriptions with proper Summary and Testing sections.

Create a git branch following Sentry naming conventions, automatically deriving the branch type and description from current work context.

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.

Configure and manage - Parse pdf parser operations. Auto-activating skill for Business Automation. Triggers on: pdf parser, pdf parser Part of the Business Automation skill category. Use when working with pdf parser functionality. Trigger with phrases like "pdf parser", "pdf parser", "pdf".

Extract structured job listing data from Indeed search results, including job titles, companies, salaries, descriptions, benefits, and apply links.

Automatically generate clear, comprehensive documentation for codebases — including API references, inline docstrings, README files, and usage guides. Use when the user requests code documentation or provides relevant inputs for this workflow.

中文求职经历酥化技能：根据目标岗位把真实经历重组为清晰的岗位定位、简历要点、项目亮点和 HR 开场白；当用户输入“/asu”“我要酥化”或要求包装经历时使用。

Frame jobs, triggers, desired outcomes, anxieties, and product opportunities.

Configure and manage - Parse email parser operations. Auto-activating skill for Business Automation. Triggers on: email parser, email parser Part of the Business Automation skill category. Use when working with email parser functionality. Trigger with phrases like "email parser", "email parser", "email".

Decompose work into small, verifiable tasks with explicit acceptance criteria, ordered by dependencies and sliced vertically for reliable implementation.

Breaks natural-language problem descriptions into sub-tasks suitable for DAG nodes. The entry point of the meta-DAG. Identifies phases, dependencies, parallelization opportunities, and vague/pluripotent nodes that can't yet be specified. Uses domain meta-skills when available. Activate on "decompose task", "break down problem", "plan workflow", "what are the steps", "sub-tasks", "task breakdown". NOT for executing the decomposed tasks (use dag-runtime), building the DAG structure (use dag-planner), or matching skills to nodes (use dag-skills-matcher).

Guiding workflows by decomposing complex tasks (Epics) into Atomic Steps under 15 minutes each, with progress tracking and drift prevention. Use when complex decomposition is needed.

Writes inclusive job descriptions with role requirements, company culture, and compensation transparency

Live application prep for Heath Barnett. Given a role name or a job application URL, renders the real application form, reads every field including the bespoke custom questions, drafts each answer grounded in Heath's receipts and resume master, and returns a copy-paste breakdown plus the submit window in the hiring manager's timezone. Built for the hot window: Heath is at the keyboard, this gets him ready to paste and submit in minutes. Trigger on "prep [company/role]", "apply prep", "get me ready to apply to [company]", "prep my application for [role]", "extract the questions for [role]", "what does the [company] application ask", or Heath pasting an application URL with intent to apply. Never submits the form. Never fabricates. No em dashes.

Provides detailed, structured image descriptions covering objects, people, colors, text, and scene context, with an overview and interpretation.

Generates, formats, and validates technical documentation including docstrings, OpenAPI specs, JSDoc annotations, documentation sites, and user guides.

Tracks asynchronous and multi-step work by creating, listing, viewing, completing, editing, and deleting tasks stored as JSON files in a .dex directory.

Provides nine skills for Nature-journal-family academic publishing, covering figure creation, prose polishing, manuscript writing, citation formatting, data availability statements, paper reading, reviewer responses, paper-to-PPT conversion, and academic search via an MCP server.

Run a structured discovery interview and produce a complete, developer-ready Product Requirements Document. Load when the user asks to write a PRD, create product requirements, document a feature, define user stories with acceptance criteria, or turn a rough idea into a formal product requirements document. Also triggers on "document this feature", "write requirements for", "create a one-pager", "turn this into a PRD", "I need a PRD for", or any request to produce a structured product document for stakeholder alignment or engineering handoff. Supports Full PRD, Lean PRD, and One-Pager formats. Note: for executable feature specifications (FRs, NFRs, ACs as Given/When/Then consumable by AI coding agents), route to `feature-spec` instead — PRDs frame the product, feature-specs encode the implementable contract.

Draft a clear, complete, ready-to-send offer letter with compensation, terms, and contingencies — flagging every unconfirmed figure.

Create job stories using the 'When [situation], I want to [motivation], so I can [outcome]' format with detailed acceptance criteria, focusing on user situations and outcomes for JTBD-style backlog items.

Write construction bid proposals with scope and pricing. TRIGGERS - Use when user needs help with bid-proposal related tasks.

Short clarifying interview before starting non-trivial engineering work — surfaces the actual requirement, what's explicitly out of scope, and what proves it's done. Use before writing code when the task's requirement, scope, or definition of done isn't already unambiguous. Not for trivial or fully-specified changes — that's ceremony, not clarity.

Summarize text using extractive, abstractive, hierarchical, and multi-document techniques, producing concise outputs at configurable detail levels. Use when the user requests summarization or provides relevant inputs for this workflow.

Resume Tailor

Decompose tasks into structured, outcome-defined process entries with complexity triage. Load when user says "decompose this", "break this down", "what steps do I need", "plan this out", "what's the process for", "how do I approach this", or when any complex task needs structured execution planning. Includes a problem-understanding pass before complexity triage. Routes to `problem-to-plan` when the user needs planning deliverables (spec + plan + TODO). Does NOT replace brainstorming — brainstorming is design approval (upstream), this is execution planning (downstream).