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Browse Secure Claude Skills

Search verified agent skills and review security grades before installing · full A–Z index

PapersALevanta papers científicos sobre metodologias de IA aplicadas à medicina publicados nos últimos 7 dias, sobre um tópico específico que o usuário fornece. Use esta skill SEMPRE que o usuário pedir "/papers", "papers da semana", "o que saiu essa semana sobre [tópico]", "varrer arxiv/pubmed/medrxiv", "levantamento semanal de papers", "novidades em IA médica", "papers recentes sobre [tema]", "o que foi publicado essa semana em IA médica", "semana de [tópico]", "últimos papers sobre IA em saúde". ...datapythongoVotes: 0GitHub stars: 2
Lab ExpARoda um experimento preditivo clinico de ponta a ponta no padrao do laboratorio, da auditoria de vazamento ate o zip e o repositorio privado. Comeca sempre pela auditoria que decide se o experimento faz sentido (momento da predicao, censura disfarcada de desfecho, variavel que sozinha da AUC alta demais), depois monta o pipeline com Boruta dentro do fold, sete modelos com regra de desempate declarada antes, limiar fora da amostra, IC por bootstrap e calibracao, e entrega notebook do Colab, no...datapythongoVotes: 0GitHub stars: 2
Fused RuntimeAWhat a Fused UDF can import and shell out to at run time — the Python packages and versions in the realtime and batch images, system binaries, DuckDB extensions, and how to get a package that isn't installed. Use before importing a library in a UDF, when a UDF fails with ModuleNotFoundError or a version-specific API error, or when choosing between libraries for a UDF.datapythongoVotes: 0GitHub stars: 5
Sql ReviewAProve an app's numbers against live Snowflake and leave a record a person signs. Builds or repairs the app's sql_review/ page files, checks objects, grants and DDL drift, runs every section as aggregates, has reviewer agents judge the logic, drops findings the evidence does not support, and writes the committed review log. Use when the user says "review the SQL", "are these numbers right", "trace the data", "audit the lineage", before a release or deploy, or from /review-app --sql. It spends ...datagobashVotes: 0GitHub stars: 3
Build AppAThe front door for building a Streamlit-in-Snowflake app from idea to opened PR, or resuming one mid-build. Orchestrates spec, data discovery, page design, scaffold, a parallel page build and review by subagents, and ship, with human checkpoints between them. Start here for any new app, to document an existing one, to add a page, or to act on feedback about a live app. Use when the user says "build an app", "new dashboard", "add a page", "spec this out", "pick up where we left off", "here's f...datagobashVotes: 0GitHub stars: 3
MlviewAAnalyze an ML or deep-learning workflow with the active host model and publish a source-linked interactive MLView artifact.datajavascriptpythonVotes: 0GitHub stars: 22
TableauALoad when the user asks about Tableau: find, build, copy, edit, redesign, or check a Tableau workbook, dashboard, view, or data source. Covers the tableau_* tools, the .twb builder with its design layer, data sources on SignalPilot connections, the design standard, and the render review.datapythongoVotes: 0GitHub stars: 485
XlsxAUse this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the...datapythonrustVotes: 0GitHub stars: 179,886
Retail Kpi KnowledgeARetail KPI / metric-contract reasoning layer for BI agents in the Seshat BI project. Use when an agent must reason about the BUSINESS MEANING of a retail KPI before any implementation — defining a KPI in business terms, classifying additivity (fully/semi/non-additive), identifying grain, listing required source fields, resolving ambiguity (gross vs net, VAT, returns, cost method, same-store), choosing an MVP KPI pack, reviewing a metric contract for completeness, or preparing a clean handoff ...datapythongoVotes: 0GitHub stars: 2
Bi Sql KnowledgeASQL reasoning, validation, reconciliation, transformation, diagnostics, and anti-pattern knowledge layer for Seshat BI agents. Use when a task involves reasoning about source SQL: source profiling, table grain, keys & uniqueness, joins & fan-out amplification, aggregation correctness, COUNT/NULL semantics, deduplication, validation queries, reconciliation queries, silver/gold transformation logic, window/date-time analytics, SQL anti-patterns, or basic SQL performance reasoning, or interpreta...datagoshellVotes: 0GitHub stars: 2
Bi Python KnowledgeAPython/pandas reasoning and review layer for BI and data agents in the Seshat BI project. Use when an agent must reason about dataframe work — profiling a source, judging dtypes/schema, cleaning and standardizing, merging without fan-out, aggregating at a declared grain, parsing dates, validating/reconciling against SQL and readiness, diagnosing performance/memory, or reviewing a Python pipeline. This is a reasoning layer, not an executor and not a Python tutorial. It does not run pipelines, ...datapythonsqlVotes: 0GitHub stars: 2
Bi Dax KnowledgeADAX knowledge base for teaching a BI agent to reason about, generate, review, and performance-tune DAX for Power BI / tabular models. Use when the task involves writing or auditing DAX measures, building time-intelligence / segmentation / ranking / customer / currency calculations, reviewing a semantic model, diagnosing physical or virtual filter propagation, calculation-group precedence, semi-additive totals, blank/zero semantics, or explaining DAX concepts and pitfalls. Covers core concepts...datagoperformanceVotes: 0GitHub stars: 2
Bi Bigdata KnowledgeABig-data / distributed-compute reasoning and review layer for BI and data agents in the Seshat BI project. Use when data is too large for single-node pandas and the agent must reason about distributed or larger-than-memory processing — choosing an engine (Spark / Dask / Polars / DuckDB / warehouse), controlling partitioning and shuffle, avoiding skew and fan-out, aggregating at a declared grain at scale, choosing file formats (Parquet / Delta / Iceberg), incremental/idempotent processing, val...datapythonsqlVotes: 0GitHub stars: 2
Bi Analyst KnowledgeAAnalyst-judgment layer for Seshat BI Stage-6 design. Use when turning approved metric contracts + a committed source-profile into a decision-driven report: deriving ranked decision-questions, choosing an analytical framing (trend/anomaly, period variance, contribution & mix-shift, concentration/Pareto, rate decomposition, segment behavior, benchmark/threshold, signal-vs-noise statistical guardrails), and ordering pages into a story (overview, what changed, why/where, action), building grounde...datagosqlVotes: 0GitHub stars: 2
Powerbi Dashboard DesignAThe Power BI VISUAL/DESIGN layer of the Tower BI Readiness System. Use when someone asks about dashboard design, page layout, a background/canvas asset, a theme/colors choice, a screenshot critique, a mobile layout, or a Power BI handoff in the Seshat BI repo. This skill ROUTES a design request into exactly ONE of four surfaces (report visuals, external background/canvas, theme JSON, implementation handoff) and opens the matching workflow. It is a router and a vocabulary, not a builder: it ne...datagosqlVotes: 0GitHub stars: 2
Kpi Contract BuilderAHelp a human turn a named-but-planned retail KPI into a governed, owner-ready project metric-contract by driving the shipped kpi_contracts engine (spec 124). On first contact, when no approved decisions exist yet, it assesses source answerability, lists the exact Decision Store decisions to get approved via business-knowledge-interview, and renders a preview with per-field provenance -- writing no YAML. Once the approved kpi_definition / policy_ruling decisions, a named eligible owner, and co...datagosqlVotes: 0GitHub stars: 2
Evident ChartsAUse when creating, revising, or reviewing explanatory data charts for a blog, report, paper, slide, newsletter, or social post. Includes matplotlib, seaborn, pandas .plot, ggplot2, Plotly, Altair/Vega-Lite, D3, and PNG/SVG charts. Also use for "critique this chart", "why does this plot look bad", or "make this figure better" with a chart image. Not for unrelated coding, software architecture diagrams, or non-data illustrations.datapythonVotes: 0GitHub stars: 57
Exploratory Data AnalysisAInspect a scientific data file and report its structure and quality. Use when triaging an unknown table, array, sequence or image file.datapythongoVotes: 0GitHub stars: 9
SiemARouting agent for SIEM & SOAR technologies. Cross-platform expertise in log management, event correlation, detection engineering, normalization, SIGMA rules, and security orchestration. WHEN: \"SIEM comparison\", \"which SIEM\", \"log management\", \"detection engineering\", \"SIGMA rules\", \"security analytics\", \"correlation rules\", \"SOAR platform\", \"security automation\", \"alert triage\". Do NOT use for platform-specific questions -- use the `splunk`, `sentinel`, `elastic-security`,...datagoshellVotes: 0GitHub stars: 4
SynapseAAzure Synapse Analytics expert. Deep expertise in dedicated SQL pools, serverless SQL pools, Spark pools, Synapse Pipelines, data integration, and query optimization. WHEN: \"Synapse\", \"Azure Synapse\", \"Synapse Analytics\", \"dedicated SQL pool\", \"serverless SQL pool\", \"Synapse Spark\", \"Synapse Pipeline\", \"Synapse Link\", \"PolyBase\", \"CETAS\", \"distribution Synapse\", \"Synapse workspace\".datapythongoVotes: 0GitHub stars: 4