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Prepare for engineering interviews with structured practice in algorithms, system design, and questions about past experience. Develop explanations of your reasoning, analyze solution efficiency, discuss design tradeoffs, and organize concrete stories about your work.
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Analyze meeting transcripts to understand speaking habits, interruptions, conflict avoidance, and listening patterns. Get specific examples with timestamps and practical suggestions, then compare meetings over time to track changes in communication and facilitation.
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Audit recovered bug reproduction tests before writing a fix or reviewing a pull request. Check that assertions reflect intended behavior, establish a valid failure on unfixed code, and verify the same test passes after the fix.
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Review an existing bug-fix pull request using validated reproduction tests and the complete code diff. Assess root-cause coverage, scope, and regressions, then document behavioral evidence and follow the workflow's branch and approval rules.
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Build a developer profile from past sessions or a questionnaire, then generate files and settings that personalize Claude's responses. Choose which outputs to create and compare changes when refreshing an existing profile.
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Guide an AI agent through code changes with explicit assumptions, simple implementations, focused edits, and testable goals. Use it for bug fixes, features, refactoring, or reviews to reduce guesswork and unnecessary changes.
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Upgrade an existing .NET 8 project to .NET 9 by addressing build errors and compatibility changes. Update related packages, containers, and build pipelines, then verify the migration with clean builds and tests.
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Move existing .NET 9 projects to .NET 10 by updating project settings and dependencies, fixing build errors, and reviewing behavior changes. Includes CI and Docker updates, followed by builds, tests, and security checks.
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Review test files or suites for missing checks, hidden exceptions, unreliable timing, shared state, and maintenance problems. Get a severity-ranked report with specific locations, explanations, and concrete suggestions for improving the tests.
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Calculate change risk for a specific .NET method, class, or file by combining code complexity with measured test coverage. Get ranked results and recommendations on where to add tests or simplify logic.
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Upgrade an existing .NET 10 project to .NET 11 by updating framework targets and packages, fixing compatibility issues, reviewing runtime behavior changes, and verifying builds, tests, and deployment configuration.
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Find changes in observable behavior that existing tests could miss. Map public results to test assertions, identify gaps in boundaries, permissions, and calculations, and propose focused tests, with optional verification when requested.
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Optimize .NET loops with SIMD, which processes multiple values in one operation, or review existing SIMD code. Check behavioral equivalence, memory safety, platform fallbacks, and benchmarks to establish whether the optimization is correct and worthwhile.
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Map a single-page application's backend API from its public JavaScript files, including routes loaded later. Compare unauthenticated responses with a protected endpoint to investigate missing authentication and access control using minimal evidence.
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Review a git diff or selected files with parallel agents to find behavior regressions, security risks, reliability problems, and compatibility or test gaps. Receive filtered, evidence-backed findings and prioritized recommendations without changing files.
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Generate developer behavioral profile and create Claude-discoverable artifacts
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Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
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Authoring and running behavioral evals for a shopping or merchant agent, covering the case shape, authoring rules, code graders and judges, the run pattern, and poisoned fixtures. Load when writing eval cases or rubrics or deciding how a suite runs.
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Synthesize qualitative and quantitative user research into structured insights and opportunity areas. Use when analyzing interview notes, survey responses, support tickets, or behavioral data to identify themes, build personas, or prioritize opportunities.
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Use when the user asks to "build email segments from my list", "make engaged / lapsed / RFM segments", "set up cart-abandoner or lifecycle-stage audiences", or "build a suppression list of unsubscribes and bounces"; turns the user's OWN list/CRM/GA4/ecommerce export into behavioral, attribute, and lifecycle-stage segments plus a suppression list, with per-segment sizes labeled Measured/Estimated, informing the SEND E (Engagement/targeting) dimension. Not for scoring EQS or running vetoes — use email-quality-auditor; not for authentication or spam-content checks — use deliverability-qa. 邮件列表分群/生命周期分群/抑制名单/流失召回
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Design products and pricing around validated willingness to pay, from Ramanujam & Tacke's "Monetizing Innovation". Use when the user mentions "pricing", "how much should we charge", "willingness to pay", "pricing page", "packaging", "freemium vs free trial", "are we leaving money on the table", "nobody buys at this price", "price increase", or "good-better-best". Also trigger when designing or auditing pricing and packaging, validating willingness to pay before building, segmenting customers by value, or choosing between subscription, usage-based, and freemium models. Covers price-before-product, willingness-to-pay talks, the four failures (feature shock, minivation, hidden gem, undead), leader/filler/killer packaging, and behavioral pricing. For offers and guarantees, see hundred-million-offers. For what customers value, see jobs-to-be-done.
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Code review behavioral standards. Reference during code review to ensure consistent quality checks from a QA perspective.
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Applies decision science and cognitive bias research to marketing and product decisions — how people actually choose under uncertainty, and how framing, defaults, sequencing, and social context change behavior. Use this to diagnose why a well-argued offer is not converting, to structure choices and pricing presentation, to design an experience around how attention and memory work, or to pressure-test whether a persuasion tactic is legitimate or manipulative.
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Expert malware analyst specializing in defensive malware research, threat intelligence, and incident response. Masters sandbox analysis, behavioral analysis, and malware family identification. Handles static/dynamic analysis, unpacking, and IOC extraction. Use PROACTIVELY for malware triage, threat hunting, incident response, or security research.
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