Results for “analysis”

Work with Lapian Notes / 拉片笔记 (github.com/bkingfilm/lapian-notes) — a local- first React/Vite tool that turns a film into an editable shot-by-shot study notebook: local frame extraction, AI-assisted structure analysis (bring your own AI, no API key required), story-line swimlane timeline, structure tree, and audience-emotion curve. Use when the user asks about Lapian Notes, "拉片笔记", "拉片" (shot-by-shot film analysis) tooling, cloning/running this repo (npm run dev, run.bat/run.command), the AI-analysis-package (ZIP) round-trip workflow, or contributing a PR to lapian-notes. Not for generic video editing (use `opencut` for that) or generic film-analysis theory unrelated to this codebase.

High-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.

Analyzes the design language of Nintendo.com from 2001, documenting its brushed-periwinkle chrome interface, beveled metal plates, chamfered panel geometry, carbon-navy command layer, rationed warm accents, photographic hero fields, and box-art typography.

Reimplements DnaSP 6 for population genetics analysis of aligned DNA sequences, including nucleotide diversity, haplotype statistics, neutrality tests, linkage disequilibrium, recombination, mismatch distribution, InDel polymorphism, between-population divergence, outgroup-based tests, HKA test, McDonald-Kreitman.

Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.

Expert framework for assessing and achieving product-market fit. Combines PMF measurement methodologies, Sean Ellis survey, retention analysis, segment-specific PMF, and post-PMF scaling strategy. Use when determining if product has PMF, measuring user engagement, running PMF surveys, or deciding whether to scale or keep iterating.

QA a completed analysis for methodology, accuracy, and bias before it is shared, shipped, or acted on.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

Optimize conversion rates with funnel analysis, A/B testing, statistical significance, and compliance-safe experiments.

Guidance on security analysis, compliance auditing, and vulnerability assessment techniques relevant to legal and regulatory compliance tasks

This skill calculates key financial ratios and metrics from financial statement data for investment analysis

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.

Run structured What-If scenario analysis with 4-6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use for speculative questions about uncertain futures, strategic forks, contingency planning, or stress-testing decisions.

Generate professional clinical decision support documents for pharmaceutical and clinical research, including biomarker-stratified cohort analyses and evidence-based treatment recommendation reports with GRADE grading, statistical analysis, and publication-ready LaTeX/PDF output.

Analyze Microsoft Outlook PST and OST files for email forensic evidence including message content, headers, attachments, deleted items, and metadata using libpff, pst-utils, and forensic email analysis tools for legal investigations and incident response.

Drafts structured client memoranda translating legal analysis and strategic recommendations into plain language for non-lawyer audiences. Covers corporate governance, fiduciary duties, compliance, and transactional advice. Enforces standard memo architecture: heading block, executive summary, background, analysis, options, and recommendations. Use when preparing client-facing memos, opinion letters, or governance briefings.

Perform survival analysis and time-to-event modeling in Python using scikit-survival, including Cox models, random survival forests, gradient boosting, survival SVMs, and evaluation metrics like concordance index and Brier score.

Define roles and responsibilities using RACI matrix. Use for process improvement, organizational design, project management, and change initiatives.

Coordinate multiple agents for complex tasks. Use for multi-perspective analysis, comprehensive reviews, or tasks requiring different domain expertise.

4-phase systematic debugging methodology with root cause analysis and evidence-based verification. Use when debugging complex issues.

Builds a compact secret-safe repository pack for AI handoff, review, or large analysis; prefers Repomix when available.

Feature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.

Prepare for the CPA exam with section-order strategy, 18-month window tracking, score analysis, and state eligibility guidance.

Guidance on web content analysis, data extraction, and online research techniques for legal and regulatory information gathering

Write legal memoranda with analysis and conclusions. TRIGGERS - Use when user needs help with legal-memo related tasks.

Conduct time studies for process efficiency analysis. TRIGGERS - Use when user needs help with time-study related tasks.

Write policy briefs with analysis and recommendations. TRIGGERS - Use when user needs help with policy-brief related tasks.

Write legal memoranda with analysis and conclusions. TRIGGERS - Use when user needs help with legal-memo related tasks.

Conduct time studies for process efficiency analysis. TRIGGERS - Use when user needs help with time-study related tasks.

Write policy briefs with analysis and recommendations. TRIGGERS - Use when user needs help with policy-brief related tasks.

Run static analysis on a Stata .do or .ado file and report style and best-practice issues.

Provides a structured framework for analyzing cyber intrusions by examining four core features: Adversary, Capability, Infrastructure, and Victim. Covers implementing the Diamond Model programmatically to classify and correlate intrusion events, build activity threads, and generate pivot-ready intelligence.

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.

Comprehensive results analysis for empirical research: generate publication-quality descriptive statistics and balance tables, interpret regression coefficients with economic magnitude and effect sizes, assess identification assumption diagnostics, and produce structured results memos. Use when asked to create summary statistics, Table 1, balance tests, interpret results, assess economic significance, or write results narratives.

Use to analyse billing and pricing complaints, separating genuine pricing objections from billing defects and unclear communication. Trigger for "customers complaining about price", "billing complaint analysis", "why do customers dispute their invoice", "is our pricing a problem", unexpected-charge complaints, or a pricing decision that needs evidence from support.