Results for “job-stories”

Browse Hacker News feeds and stories from the command line, including top, new, best, ask, show, jobs, story details with comments, and search.

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

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.

Create user stories using Mike Cohn format with Gherkin acceptance criteria, translating user needs into development-ready work with clear outcomes and testable conditions.

AI-powered career biographer that conducts empathetic interviews, extracts structured career narratives, and transforms professional stories into portfolios, CVs, and personal brand assets. This skill should be used when users want to document their career journey, create professional portfolios, generate CVs, or craft compelling career narratives.

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.

Analyze customer needs by identifying the 'job' they hire a product to do, covering job statements, forces of progress, and competitive landscapes.

Maps where a movement leader's content and relationships live, producing a fragmentation report from existing research files.

Create comprehensive test scenarios from user stories with test objectives, starting conditions, user roles, step-by-step actions, and expected outcomes.

Search jobs, manage applications, and run the employer job lifecycle on the WorkorAI talent marketplace with white-box candidate match explanations.

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.

Resume Tailor

Use to CREATE or REVIEW a Job to be Done (JTBD) in Alan Klement's demand-side, progress-based sense — a job is the progress a customer is trying to make, never a task or feature. Trigger whenever someone wants to write or draft a JTBD, job statement, or job story; figure out the real motivation, struggle, or progress behind a feature, request, or product; understand why customers switch, adopt, or churn; turn interview notes or research into jobs; or pressure-test, sharpen, or rewrite existing JTBDs into proper jobs. Also trigger on "grill my JTBD", "is this a real job or just a task/feature", "what's the actual job here", "why would they switch". In an A-Team target repo, jobs are durable artifacts — this skill writes docs/product/jtbd/NN-<slug>.md per CONTRACT.md and never deletes or silently rewrites a job. Do NOT use for writing PRDs, roadmaps, tickets, or acceptance criteria (those consume a finished JTBD), or for implementation user stories.

Chains architecture review, implementation, and pull request creation to take a story from design through to a convention-compliant PR.

Extract candidate name, contact details, work history, and skills from resumes.

Breaks applications or features into thin vertical user-story slices with clear acceptance criteria and user-observable value, suitable for backlog planning and feature decomposition.

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

Transform any repository's commit history and structure into a comprehensive technical summary and narrative story.

Creates a new recurring workstream (loop) in a file-based knowledge base: scaffolds the domain folder, runs a real test cycle, and records the result in the timeline and log.

Build and maintain one coherent company story across all audiences — employees, investors, customers, candidates, and partners. Detects narrative contradictions and ensures the same truth is framed for each audience's needs.

Uncover customer jobs, pains, and gains in a structured JTBD format to clarify unmet needs, reposition products, or improve discovery and messaging.

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'.

Generate user stories following the 3 C's (Card, Conversation, Confirmation) and INVEST criteria, with descriptions, design links, and acceptance criteria.

HR hiring. Searches .harness/shared/HR-Resource candidates, installs selected worker skills into .claude and .codex, and records roster wiring.

Analyzes requirements and produces four artifact files: requirements.md, user-stories.md, acceptance-criteria.md, and business-rules.md, with optional loading from SRS workflow artifacts.

Helps users report issues with GTM skills — incorrect advice, broken activation, missing context, or unexpected behavior. Guides through gathering the right details (skill name, prompt used, actual vs expected output, context files present) and generates a properly formatted GitHub issue. Use when users say: 'this skill gave wrong advice', 'report a bug', 'file an issue', 'skill isn't working', 'wrong output', 'skill didn't activate', 'bad recommendation', 'incorrect behavior', or 'something is broken'.

Daily inbound freelance-job discovery across the markets and platforms the brand chose — scrapes job posts via Claude in Chrome (Freelancer.com API where available), scores each for service fit, deduplicates, and drops matches into a Notion opportunities DB. Runs daily on cron schedule.

Map user Jobs-to-Be-Done with functional, emotional, and social dimensions plus outcome expectations to reframe product decisions around user motivations.

Analyzes requirements and produces four artifact files: requirements, user stories, acceptance criteria, and business rules, with optional SRS workflow integration.

Strategic thought-leadership book collaborator for founders, experts, and operators turning voice notes, fragments, and positioning into structured first-person chapters.

Break large user stories or epics into smaller, independently deliverable stories using systematic splitting patterns.

Write a roadmap narrative that connects customer problems, company goals, bets, and sequencing.