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Calculate portfolio weights from a covariance matrix, which describes how asset returns move together, and expected returns using Conjugate Gradient. Save the weights with the solver used, numerical error, and timing so the calculation can be checked later.
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Keep comparison answers readable in a terminal about 100 columns wide. Limits Markdown tables to four columns with short phrases, and switches to lists or per-item headings when the content needs longer explanations.
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Create diagrams that explain systems, workflows, and data relationships using a consistent brand style. The skill guides diagram selection, layout, and readability, with HTML, SVG, and PNG output and support for importing existing diagram formats.
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Process 3D scan data with CloudCompare through text commands. Clean point clouds, collections of measured 3D points, extract ground surfaces, align scans, calculate distances, and convert or export point clouds and surface meshes in supported formats.
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Use SymPy to simplify expressions, solve equations, and calculate derivatives, integrals, and matrices with exact symbolic results. Specify assumptions, verify solutions, and turn mathematical expressions into numerical functions, source code, or LaTeX output.
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Prepare bulk RNA-seq sequencing files or quantification outputs for gene-level comparisons. Check sample information and data quality, configure processing workflows, and assemble validated count tables and metadata for downstream differential expression analysis with PyDESeq2.
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Test how agent workflows recover from repeatable simulated failures, including tool timeouts, worker restarts, and lost memory. Produces a fault matrix, event timeline, and verdict showing whether state, safety boundaries, and retry budgets were preserved.
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Export an approved fine-tuned model into a format suited to its hardware and runtime. Choose weight packaging and quantization, which reduces numerical precision, then compare outputs before and after export to check for regressions.
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Review a set of GitHub issues against their full discussions and current code. Produce a table separating completed work, small fixes, design work, and deferred items, with evidence, confidence levels, and next actions for each issue.
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Assess cybersecurity risks using NIST SP 800-30 Rev 1 by examining threats, weaknesses, likelihood, and business impact. Produce a ranked risk register, a structured record of risks and recommended responses, with a summary for leadership.
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Plan and conduct authorized security tests of AWS, Azure, and GCP environments. Check access permissions, credential exposure, cross-account access, and monitoring, then organize findings into a report with severity, business impact, and remediation guidance.
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Compare application pages, interactive components, API endpoints, and key user journeys with existing tests. Get a coverage matrix, an estimated coverage percentage, and a prioritized plan for missing tests with suggested templates and effort estimates.
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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.
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Prepare SaaS teams for SOC 2 audits by mapping evaluation criteria to controls, the measures used to manage risk. Build control matrices, track supporting evidence, identify gaps, and assess readiness for Type I or Type II.
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Run Playwright tests on BrowserStack to check behavior across browsers and devices. Configure cloud connections, compare results by browser, inspect session videos and logs, and set up a tunnel for testing local or restricted environments.
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Review completed AI work by scoring task difficulty and execution quality separately. A fixed scoring matrix, arguments for higher and lower ratings, and saved score history help examine weaknesses and detect repetitive scoring patterns across sessions.
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Create and apply brand guidelines for colors, fonts, logos, imagery, and writing tone. Review materials for consistency and produce practical references, including palette tables, typography specifications, tone examples, and a concise guide for collaborators.
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Structure responses to buyer questionnaires and proposal requests by classifying requirements, matching claims to verifiable evidence, and exposing gaps. Develop buyer-focused reasons to choose your offer and estimate win probability to support bid decisions.
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Review proposal responses for missing requirements, compare competing products, and plan proof-of-concept trials that test customer needs. Supports technical sales work from requirement discovery and demo preparation through evaluation scorecards and technical proposals.
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Trace failing cmux Swift package tests to the commits that introduced them by running older revisions in CI, the automated testing environment. It helps distinguish outdated expectations, code regressions, and intermittent failures, then guides focused fixes and verification.
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Test CodexBar against real provider services, check application settings, and verify menu contents. Use command-line checks and visual evidence to distinguish authentication problems, API mismatches, and display issues before a release.
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Choose a Google Cloud database by clarifying data needs, workload, and scale. The skill explains its recommendation and prepares validated Terraform configurations or provisioning scripts for review before infrastructure changes are made.
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Turn a research proposal into an experiment plan tied to specific paper claims. Define comparisons, evaluation measures, tests that remove individual components, run order, and compute estimates, with a written plan and tracker for execution.
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Run MNN checks and regression tests on a host computer or Android device, with stage summaries and failure logs. A separate workflow benchmarks LLM prompt processing and token generation on real iPhones and iPads, including branch comparisons.
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