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Agent Skills für Datenverarbeitung, Visualisierung und Analytik durchsuchen

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23.476 Ergebnisse

deep-research

Quelleaffaan-m/ECC/skills/deep-research/SKILL.md
Aktualisiert

Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, or do competitive analysis, technology evaluation, market sizing, or due diligence on a company.

Sprache des Skill-Inhalts: Englisch

social-media-dashboard

Quellenexu-io/open-design/design-templates/social-media-dashboard/SKILL.md
Aktualisiert

Creator-facing social media analytics dashboard in a single HTML file. A platform switcher (X / LinkedIn / YouTube / Instagram), a row of KPI cards (followers, engagement rate, likes, reposts), a follower-growth chart, a "top post this week" preview, and a trending topics / top comments side panel. Use when the brief mentions a "social media dashboard", "creator analytics", "social analytics", or names specific platforms (X, Twitter, LinkedIn, YouTube, Instagram, TikTok) together with metrics like followers, engagement, likes, reposts.

Sprache des Skill-Inhalts: Englisch

social-media-dashboard

Quellenexu-io/open-design/plugins/_official/examples/social-media-dashboard/SKILL.md
Aktualisiert

Creator-facing social media analytics dashboard in a single HTML file. A platform switcher (X / LinkedIn / YouTube / Instagram), a row of KPI cards (followers, engagement rate, likes, reposts), a follower-growth chart, a "top post this week" preview, and a trending topics / top comments side panel. Use when the brief mentions a "social media dashboard", "creator analytics", "social analytics", or names specific platforms (X, Twitter, LinkedIn, YouTube, Instagram, TikTok) together with metrics like followers, engagement, likes, reposts.

Sprache des Skill-Inhalts: Englisch

relsa-severity-assessment

QuelleK-Dense-AI/scientific-agent-skills/skills/relsa-severity-assessment/SKILL.md
Aktualisiert

Supports multivariate severity assessment and exploratory endpoint-time score forecasting for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinical or nesting scores, biomarkers, activity, heart rate, burrowing, wheel running — into one severity score per animal per day, when asking which animals are at risk of reaching a humane endpoint at a specified future observation time, when defining attention/danger zones or thresholds on a severity scale by kernel density estimation, or when reporting severity for a 3Rs, refinement, animal-welfare, or EU Directive 2010/63/EU severity-assessment context. Covers directionality ("turned" variables), baseline normalization, reference sets, RELSA weights, ARIMA prediction intervals, and RMSE/PICP/MPIW evaluation.

Sprache des Skill-Inhalts: Englisch

seaborn

QuelleK-Dense-AI/scientific-agent-skills/skills/seaborn/SKILL.md
Aktualisiert

Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical comparisons, regression displays, pair plots, and heatmaps. Supports function and objects interfaces with explicit aggregation, uncertainty, and missing-data handling. Best suited to static exploratory plots; plotly covers interactive figures and scientific-visualization covers publication styling.

Sprache des Skill-Inhalts: Englisch

statistical-analysis

QuelleK-Dense-AI/scientific-agent-skills/skills/statistical-analysis/SKILL.md
Aktualisiert

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.

Sprache des Skill-Inhalts: Englisch

statistical-power

QuelleK-Dense-AI/scientific-agent-skills/skills/statistical-power/SKILL.md
Aktualisiert

Calculates sample sizes and statistical power for study planning. Applies when someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for complex designs — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Also handles requests that only mention an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.

Sprache des Skill-Inhalts: Englisch

creating-box-plot-insights

QuellePostHog/posthog/products/product_analytics/skills/creating-box-plot-insights/SKILL.md
Aktualisiert

Creates product analytics or SQL-backed box plot insights in PostHog. Use when a user asks to create, build, or save a box plot, visualize a numeric distribution, compare quartiles or medians across dates or groups, or turn SQL results into a box plot. Chooses between a standard Trends box plot and a SQL insight, validates the distribution data, saves the insight, and verifies it.

Sprache des Skill-Inhalts: Englisch

analyzing-disk-image-with-autopsy

Quellemukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-disk-image-with-autopsy/SKILL.md
Aktualisiert

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

Sprache des Skill-Inhalts: Englisch

analyzing-threat-landscape-with-misp

Quellemukul975/Anthropic-Cybersecurity-Skills/skills/analyzing-threat-landscape-with-misp/SKILL.md
Aktualisiert

Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events.

Sprache des Skill-Inhalts: Englisch

datacommons-client

Quelledavila7/claude-code-templates/cli-tool/components/skills/scientific/datacommons-client/SKILL.md
Aktualisiert

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

Sprache des Skill-Inhalts: Englisch