Planning, sales, accounting, legal, and project management (3.8K skills)
Supports medical device quality investigations through CAPA, a process for corrective and preventive action. Helps identify root causes, plan actions, verify results, and report overdue cases, recurrence rates, and other program metrics.
Routes regulatory and quality management requests to one of 15 specialist skills. Helps HealthTech and MedTech teams select the right workflow for audits, medical device regulations, information security, privacy, or AI compliance.
Organize EU AI Act compliance work with references to Articles and Annexes. Classify AI systems by risk, plan conformity assessments that check regulatory requirements, prepare technical documentation checklists, and map obligations and deadlines to organizational roles.
Supports medical device risk management from planning through post-market review using ISO 14971:2019. Helps identify hazards, evaluate risks, select and verify controls, assess remaining risks, and maintain records as new information arrives.
Review code for privacy risks, prepare data protection impact assessments, and track personal data requests and deadlines. The skill supports GDPR and German privacy compliance work, with final compliance decisions referred to a data protection officer or legal counsel.
Prepare internal audit materials for ISO/IEC 42001:2023, the AI management system standard. Identify gaps, link AI risks to controls, and build a 12-month audit plan with coverage priorities and auditor independence checks.
Manage complex software and SaaS projects by assessing schedules, budgets, quality, risks, and team capacity. Compare priorities across projects, identify resource constraints, and turn portfolio analysis into executive reports with recommendations for decisions and follow-up.
Manage Jira issues, build JQL searches, and design project workflows and reports. Use bundled scripts to generate search queries and check workflow designs, with guidance on which operations require Jira’s interface or API.
Analyze sprint history to forecast delivery ranges, score team health, and track retrospective actions. Python tools turn structured sprint data into reports that support planning, highlight recurring problems, and show whether improvement efforts are progressing.
Design or review SaaS pricing by choosing what customers pay for, defining plan features, and assessing price points. Create pricing page outlines, customer research questions, and price increase plans with communication templates and risk scenarios.
Route product questions to a specialist for prioritization, research, analytics, experiments, or implementation. Support recurring discovery by tracking interviews and assumption tests, checking how customer needs connect to proposed solutions, and returning results with a concise digest.
Evaluate product ideas before committing development resources. Organize customer needs, rank uncertain assumptions, and plan interviews or prototype tests in a short discovery cycle that ends with evidence for proceeding, changing direction, or stopping.
Compare competing products using pricing pages, reviews, hiring information, and other market signals. Produce evidence-backed scores across 12 dimensions, pricing and usability analyses, and a prioritized action plan with a presentation outline for stakeholders.
Draft and edit internal updates, newsletters, FAQs, and incident reports using the appropriate reference format. Turn supplied notes or information retrieved through connected tools into concise communications tailored to the audience and reporting period.
Create roadmap updates, release notes, and feature announcements tailored to executives, engineering teams, or customers. Choose a suitable roadmap format and generate changelogs from Git history, making progress, user value, dependencies, and next actions clear.
Turn feature requests and customer interviews into product plans. Rank features with RICE, a scoring method for reach, impact, confidence, and effort, extract research findings, and draft requirements and roadmaps that reflect team capacity.
Build quarterly product plans by translating company goals into product and team OKRs, meaning objectives with measurable results. Generate linked goal hierarchies, check alignment across teams, and review how responsibilities are distributed.
Coordinate project delivery by routing requests to eight specialist skills or running a verified delivery workflow. Use live Jira data for progress analysis and completion forecasts, with recorded evidence and checks before tasks are closed.
Direct finance questions to the appropriate specialist skill: financial statement analysis or SaaS operating metrics. It helps choose the right workflow for valuation, budgets, recurring revenue, churn, and customer acquisition costs.
Analyze financial statements, compare budgets with actual results, and forecast revenue and cash flow. Estimate company value using DCF, which discounts future cash flows, and produce reports with scenario comparisons and sensitivity tables for business decisions.
Assess a SaaS business using revenue, customer, and cost figures. Calculate recurring revenue, churn, and customer economics, compare results with relevant benchmarks, and identify priority actions plus a measurable 90-day focus.
Research a listed company's business quality and valuation using official filings, comparisons with similar companies, and historical performance. Produce an evidence-backed report and scorecard, with separate modes for accounting concerns and companies preparing for an IPO.
Suggest or assess company, brand, and product names that reflect a founder's cultural roots and suit their target markets. Compare meanings, pronunciation, spelling, distinctiveness, and professional tone, with clear follow-up checks before committing to a name.
Design interview processes for specific roles and experience levels, with round objectives, timing, suggested questions, and scoring criteria. Help interviewers align their judgments and review potential bias before using the process.