2.7K skills · sorted by relevance
Capture and analyze network traffic to understand custom protocols, including message boundaries and field meanings. Use the findings to document formats, investigate communication problems, and validate behavior through replay and tests with unusual inputs.
Design and refine prompts for AI applications using examples, reusable templates, and structured outputs such as JSON. Test variations for accuracy, consistency, response time, and token usage to diagnose unreliable answers and formatting failures.
Design dbt data transformations with clearly organized models, data quality tests, documentation, and incremental processing that updates only part of a dataset. Use it to structure analytics tables and organize a dbt project.
Prevent recurring coding-agent mistakes by turning repository evidence into specific instructions, automated checks, regression tests, and failure records. Also checks whether guidance has become outdated and documents changes, verification results, and follow-up work in an adoption report.
Guide the design and review of software that handles personal data using GDPR engineering practices. Covers minimal data collection, access controls, logging, encryption, retention, deletion, and checks for code changes and infrastructure.
Research competitors’ paid ads on Meta and Google, then examine their messaging, formats, and landing pages. Produce a strategy report showing paths from ads to signups, gaps in competitors’ approaches, and ideas for campaigns to test.
Review AI prompts for harmful output risks, bias, privacy concerns, security weaknesses, and clarity. Receive an assessment, a revised prompt, and suggested tests with explanations of the principles behind each improvement.
Investigate business email compromise, where impersonated executives or vendors request payments or sensitive data. Check sender details, unusual communication patterns, mailbox changes, and payment approval procedures to develop detection rules and verification controls.
Turn cyber threat intelligence reports into a searchable library of attacker behaviors linked to MITRE ATT&CK techniques. Export structured STIX 2.1 data, a threat information exchange format, and create detection rule templates from documented activity.
Analyze malware communication with command servers to understand periodic check-ins, message formats, encoded data, and backup destinations. Produces a structured analysis report and network detection rules based on captured traffic and malware code.
Plan and evaluate free calculators, generators, or assessment tools for marketing. Compare ideas by audience needs, search demand, and development effort, then outline essential features, email signup options, promotion, and success metrics.
Improve AI instructions with examples, clear output formats, and comparison tests. Use reusable templates and system prompts, which set ongoing behavior, to address inconsistent answers and investigate unexpected agent behavior.
Design and refine prompts for LLM applications by organizing roles, context, instructions, constraints, and output formats. Develop representative examples, manage the information supplied to the model, and evaluate changes to improve how consistently responses match expectations.
Design and refine prompts for language model applications. Choose useful examples, create reusable templates and system instructions, and compare prompt variations using accuracy, consistency, response time, and token usage to guide improvements.
Design and implement machine learning systems for production use. Cover data preparation, training, prediction services, model comparisons, monitoring, and retraining, with attention to reliability, response time, resource costs, and both technical and business evaluation metrics.
Manage the limited information an LLM can process at once. Use importance-based summaries, selective trimming, token counting, and content placement to plan what stays in context and address information loss during long conversations.
Convert laboratory instrument files into Allotrope Simple Model (ASM) JSON, a standardized data format, or tabular CSV. Detect instrument types, validate converted data, and export Python parsing code for analysis workflows or handoff to data engineers.
Guide website and web app development through implementation, builds, testing, and visual checks in a real browser. The workflow covers responsive layouts, accessibility, reusable components, and screenshots, with production checks after deployment when applicable.
Write, review, or refactor React code using prioritized guidance for data fetching, bundle size, rendering, component structure, testing, and type safety. Start with high-impact issues such as sequential requests and unnecessary library loading.
Fix bugs reported in GitHub issues through a reproduce-first process. The workflow guides code changes, build checks, verification, regression tests that check for recurring failures, and review before considering the fix complete.
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.
Test marketing prompts against shared cases, score required content, prohibited phrases, and output format, and compare alternatives. Keep version history and diffs, use reusable templates, and check that prompt or model updates preserve output quality.
Design systems that collect, transform, and store data. Choose between scheduled and continuous processing, generate workflow configurations, validate data quality, and analyze performance using guidance for tools including Python, SQL, Spark, Airflow, dbt, and Kafka.
Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.