Use when checking data pipeline health, workflow status, Maestro failures, or generating a daily pipeline report.
Orchestre un cycle complet validate-fix-validate sur le pipeline Argumentum, jusqu'a resolution ou limite d'iterations. Chef d'orchestre des corrections.
Monitor pipeline agent health, task update buffers, and live agent state. Use when checking agent health, investigating task progress, querying pipeline agents for diagnostic…
Pipeline Monitoring Setup - Auto-activating skill for Data Pipelines. Triggers on: pipeline monitoring setup, pipeline monitoring setup Part of the Data Pipelines skill category.
Run a team formation's multi-stage pipeline end-to-end with role switching, handoffs, validation, and rollback.
FASE 6 — BuildAgent. Genera el documento final .md del plan de negocio completo.
Use when before launching the DaDIA metabolomics pipeline or any multi-package workflow, when you have an R environment with potentially mixed or unknown package versions and need…
Root cause analysis for a CI/CD pipeline failure error group. Reads trace logs and preprocessed errors, investigates the root cause, and produces structured section files and…
Use when users want to install or set up the atelier-pipeline multi-agent orchestration system in their project.
Use when users want to remove the atelier-pipeline multi-agent orchestration system from their project.
Use when the user wants to update deal stages, values, or notes in their CRM pipeline, track pipeline velocity, or manage deal progression.
Content pipeline visualization — see all content at every stage from idea to published. Track ideas, drafts, in-review, scheduled, and published states.
Pipeline-facing Power BI ingestion adapter, wrapping scripts/powerbi_probe.py for two modes: `data` runs every dax-kind Binding Manifest binding via REST executeQueries…
Use when you have raw TOF-MS or IM-MS data in Agilent MassHunter (.d) or UIMF format with jagged peaks and low-abundance ions that require signal enhancement, but you need to…
Meta-/Umbrella-Skill für die Familie „Projekt-/Pipeline-Aufbau & -Umbau". Kennt alle Skills für Anlegen, Aufnehmen, Umbauen und Analysieren von Projekten und Pipelines und leitet…
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced X…
Use this agent when you need to track revenue, build financial forecasts, model P&L projections, or analyze revenue trends.
Builds revenue forecasts — cohort-based, pipeline-driven, or SaaS metric-driven models with top-down and bottom-up approaches, growth scenarios, and revenue composition analysis.
Aggregate per-unit @risk tags into task-level risk vector. Propagates blast via LCI callers tree (depth 3, log2 amplification, cap 3). Max across units for d/s/r.
Classify task: (task spec + touched files) -> risk vector + verdict + pipeline tier. Applies 8-check trivial-bypass pre-filter; on bypass returns smoke tier.
Backfill @risk tags across codebase. Enumerates untagged (or stale, or all with --force) symbols via LCI, drains hook queue, processes in 10-wide parallel batches invoking…
Tag one code unit with @risk vector. Reads unit body + imports + LCI 2-level call graph, asks haiku-4.5 for JSON risk vector, escalates to sonnet-4.6 when conf<0.7 or any axis=3,…
Replay .risk-pipeline/telemetry.jsonl to surface calibration drift: false-skip rate (low-scored tasks with post-deploy bugs), over-review rate (high-scored tasks reviewers pass…
Standard-Gerüst für rotierende Pipeline-Checks: Pro Lauf genau ein Ziel aus einer Menge (Projekte, Ordner, Repos) wählen — bevorzugt das am längsten ungeprüfte —, den Check…
Use when you have raw or minimally processed single-cell RNA-seq expression data loaded into an AnnData object (dense, sparse, or Dask-backed array as X), and you need to apply…
Builds production Scrapy spiders with custom Item Pipelines for data cleaning and storage. Uses scrapy.linkextractors.LinkExtractor for crawl scoping and ItemLoader with…
End-to-end single-cell RNA-seq workflow from 10X Genomics data to annotated cell types. Covers QC, normalization, clustering, marker detection, and cell type annotation — from…
Builds composable image transformation pipelines using the Sharp library with operations like resize(), composite(), and toFormat().
Focused Signals scout for PostHog projects moving data through pipelines. Watches the three delivery surfaces — CDP destinations and transformations (hog functions), batch…
Resolves scope-aware absolute file paths for Superpipelines artifacts across local, project, and user scopes.
Sklearn Pipeline Builder - Auto-activating skill for ML Training. Triggers on: sklearn pipeline builder, sklearn pipeline builder Part of the ML Training skill category.
Use when you have raw mass spectrometry spectra (in MGF, mzML, or similar formats) that must undergo standardized preprocessing before library matching, similarity searching, or…
Constructs and executes SDXL image generation pipelines using diffusers library and ComfyUI API. Supports LoRA loading, ControlNet conditioning, and batch prompt scheduling.
Node.js stream pipeline management with automatic cleanup. pump/pipeline error propagation, transform stream chains, backpressure handling, and preventing stream leaks when one…
\"Backfill @risk tags across codebase. Invokes risk-tag-sweep skill with supplied flags. Use --scope to narrow, --force to re-tag, --dry-run to preview. Resumable via --resume.\
Debugs Tekton pipeline failures by querying TaskRun and PipelineRun status via kubectl and the Tekton Results API.
Analyzes Tekton Pipeline and Task resource definitions using the Tekton Results API. Recommends CPU/memory request adjustments based on historical TaskRun metrics from Prometheus.
Assembles Tekton CI/CD pipelines from reusable Task and ClusterTask definitions using tkn CLI and Tekton Hub catalog.
Use when you have raw IMC (protein imaging) and SIMS (metabolite imaging) data from tissue regions that require spatial co-registration, single-cell-level intensity…
教學影片 render + publish 跨平台 pipeline 共用規則 — 5 階段管線(工作目錄→對話⇆預覽→後製→發佈,對話⇆預覽 內部 iterative)/ 雙 mp4(16:9 + 9:16)/ 字幕用 Remotion 元件 / BGM/縮圖/配音 全 Remotion 自動 / YT 章節 / 全平台 public 預設 /…
Solo-Selbstständige: ordnet Leads, Angebote, Abschlusswahrscheinlichkeit und Monatsziel; mit Abfrage von Tätigkeit, Status, Belegen, Fristen, Geldfolge und konkretem nächstem…
Move a file from the user's device to durable storage and a processed state, with validation, progress, and recovery at every stage.
Vertex Ai Pipeline Creator - Auto-activating skill for GCP Skills. Triggers on: vertex ai pipeline creator, vertex ai pipeline creator Part of the GCP Skills skill category.
10 data wrangling skills. Trigger: messy data, format conversion, missing values, data reshaping. Design: pipeline-oriented recipes for common data cleaning and transformation…
This skill empowers Claude to build AutoML pipelines using the automl-pipeline-builder plugin. It is triggered when the user requests the creation of an automated machine learning…
Fix a dbt Core task in an Orchestra Pipeline once the failure has been identified as a dbt code/config issue.
This skill builds notification pipelines for user engagement and retention. Use when asked to set up email notifications, push notifications, or in-app messaging.
This skill should be used when users need to create or fix Redpanda Connect pipeline configurations. Trigger when users mention "config", "pipeline", "YAML", "create a config",…
This skill builds data pipelines according to the approved design, implementing extraction, transformation, and loading logic.
Measure source-to-sink latency, throughput and replication lag against SLAs using live warehouse health metrics.
Decide WHICH role to spawn / pause / kill based on backlog state, not gut feel. Open this skill EVERY TIME you observe — vel team < 50% target, OR any role queue = 0, OR Scout…
Load and validate project input data from external files before downstream tasks consume it. Use this skill whenever the user mentions data ingestion, input validation, schema…
Automatically fix minor structural errors in pipeline task arguments or malformed headers to prevent workflow halts.
Guidance for implementing PyTorch pipeline parallelism for distributed model training. This skill should be used when tasks involve implementing pipeline parallelism, distributed…
Design a high-level data pipeline for source-to-target data flows
Use when building or hardening a GitHub Actions pipeline for a
Build natural language processing pipelines for text analysis and understanding
Track build success rates and identify flaky tests from CI logs