「analysis」の検索結果

Manage software composition analysis — SBOMs, vulnerability triage, and remediation of third-party dependencies.

日本語の概要は準備中です。原文の説明を表示しています。

Evaluating diagnostic tests — sensitivity, specificity, ROC analysis, likelihood ratios, and study design.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze text data with NLP — preprocessing, embeddings, topic modeling, sentiment, classification, and evaluation. Use when turning unstructured text into structured insight.

日本語の概要は準備中です。原文の説明を表示しています。

Copy-number variant analysis — detection from sequencing/arrays, segmentation, and clinical interpretation.

日本語の概要は準備中です。原文の説明を表示しています。

Estimate causal effects from observational and experimental data — DAGs, confounding control, quasi-experimental designs, and sensitivity analysis. Use when you need "what causes what," not just correlation.

日本語の概要は準備中です。原文の説明を表示しています。

Heterogeneous and homogeneous catalysis — mechanisms, kinetics, catalyst characterization, and deactivation analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Plan a structured career change with skill-gap analysis, bridge roles, and a de-risked transition timeline.

日本語の概要は準備中です。原文の説明を表示しています。

Designing and analyzing cognitive tasks — Stroop, n-back, task-switching, and process-pure measurement.

日本語の概要は準備中です。原文の説明を表示しています。

Using CMIP6 climate model output — finding data, multi-model means, scenario logic, and bias-aware analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Working with observational climate data — reanalyses, station records, anomalies, trends, and honest uncertainty.

日本語の概要は準備中です。原文の説明を表示しています。

Statistical methods for biology and medicine — study design, hypothesis testing, regression, and survival analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Bayesian data analysis — priors, likelihoods, posterior computation, model comparison, and honest reporting.

日本語の概要は準備中です。原文の説明を表示しています。

Write complete business plans — executive summary, market analysis, financials, and investor-ready narratives.

日本語の概要は準備中です。原文の説明を表示しています。

Battery science fundamentals — cell components, electrochemistry metrics, testing protocols, and degradation analysis.

日本語の概要は準備中です。原文の説明を表示しています。

Analyzing behavioral experiment data — RT/accuracy preprocessing, mixed-effects models, and robust inference.

日本語の概要は準備中です。原文の説明を表示しています。

End-to-end bioinformatics analysis — sequence QC, alignment, and omics pipelines for research data.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive social media operations for B2B SaaS brand building and engagement. Use this skill to develop LinkedIn strategy, decide whether to run a LinkedIn newsletter and how to scope it, capture consented registrations from LinkedIn Events, check LinkedIn Live eligibility, manage Twitter/X presence, create YouTube content, engage on Reddit communities, decide whether and how to answer on Quora, build community, develop influencer and creator partnerships, vet a creator before paying them, start or fix a B2B podcast, book podcast guests and guest appearances, judge whether a podcast is worth appearing on when you cannot audit its numbers, write show notes and transcripts, run social listening (what are people saying about us, share of voice, brand monitoring, validated sentiment, alert thresholds, routing signals to the right owner), and execute organic social campaigns. Also triggers on: LinkedIn, LinkedIn newsletter, LinkedIn Events, LinkedIn Live, event registration form, subscribe to our newsletter on LinkedIn, marketing consent checkbox, Notify Employees, Twitter/X, YouTube, Reddit, community, influencer, creator partnerships, influencer vetting, engagement rate, fake followers, engagement pods, FTC disclosure, sponsored post disclosure, media kit, social media strategy, organic social, employee advocacy, podcast, podcast strategy, podcast guesting, how do I know if this podcast has real listeners, the host says they get 50k downloads, is this podcast worth going on, podcast RSS feed research, IAB podcast measurement certification, Listen Score, Apple Podcasts reviews, show notes, audiogram, episode transcript, social media account access, who has admin on our LinkedIn page, the person who ran our social accounts left, locked out of our company account, social media offboarding, YouTube channel owner, Slack primary owner, social account MFA, social media approval workflow, pause all scheduled posts, social listening, what are people saying about us, brand monitoring, brand mentions, share of voice, social share of voice vs competitors, sentiment analysis, is our sentiment dashboard accurate, listening query, boolean query, mention alerts, spike alert, CrowdTangle replacement, Reddit API access, which platforms can our listening tool see, someone on Reddit asked for a tool like ours, comment mining, voice of customer from social.

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Downloads a competitor's live ad creatives — the actual MP4s and JPEGs — from the Meta Ad Library into a local swipe folder, through the Novoads API. One sweep per competitor, priced by a live estimate before anything is charged, media pulled the moment the response lands because the CDN links expire, and every ad carried with its permanent Ad Library URL, the page running it, and how many audiences the creative is running against, closing with the three most established and why. Use when asked to spy on competitors, find what ads a brand is running, pull a competitor's video or static creatives, build or refresh a swipe file, check who is outspending you on Meta, or source a reference ad to recreate. It finds, ranks and files ads; it does not rebuild them — a static becomes your own ads, or a reusable template, via clone-image-ad. It writes no craft analysis and no creative brief. A sweep that finds nothing is a result, never an apology.

日本語の概要は準備中です。原文の説明を表示しています。

Post-mortem analysis of a PhysicsIntern workspace run (Claude Code, Pi, Codex, or OpenCode host). Reconstructs the trajectory from the session record — JSONL file(s) for Claude/Pi/Codex, the SQLite store for OpenCode — audits methodology adherence against the workspace's own CLAUDE.md / AGENTS.md and skill/agent prompts, checks commit discipline and flag dispositions, and assesses substantive quality. Produces a thorough evidence-anchored markdown report. Use after a workspace has been worked on to identify what went well, where the methodology slipped, and what prompts to improve.

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Audit essays, reports, literature reviews, dissertations, proposals, and source-backed assignments for high-score academic quality. Use when the user asks whether a paper can get a high grade, wants teacher/rubric feedback addressed, needs a pre-submission review, or needs checks for strict rubric compliance, academic standards, prompt/rubric alignment, argument quality, comparative analysis, evidence hierarchy, table/figure integration, citation specificity, conclusion strength, academic language, source-claim integrity, or evidence boundaries.

日本語の概要は準備中です。原文の説明を表示しています。

This skill provides expert-level guidance for debugging and fixing bugs in VS Code extensions. Use when investigating runtime errors, fixing memory leaks, resolving WebView issues, debugging activation problems, fixing TypeScript type errors, or troubleshooting extension communication failures. Covers systematic debugging workflows, common bug patterns, root cause analysis, and prevention strategies.

日本語の概要は準備中です。原文の説明を表示しています。

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

日本語の概要は準備中です。原文の説明を表示しています。

Performs fast first-pass triage of an unknown file to decide depth of analysis: file type identification, hashing, reputation lookup, packing/entropy check, and string review. Activates for requests to triage, classify, or do initial assessment of an unknown or suspicious file.

日本語の概要は準備中です。原文の説明を表示しています。

Reverse engineers malware written in less-common compiled languages (Nim, Crystal, V, Zig, D) by detecting language-specific runtime signatures, name-mangling, and runtime strings to orient analysis. Activates for requests to reverse Nim malware, identify the source language of an exotic binary, or analyze Crystal/V/Zig/D compiled samples.

日本語の概要は準備中です。原文の説明を表示しています。