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Found 1,832 Skills
Implementing multi-layer security scanning (container, SAST, DAST, SCA, secrets), SBOM generation, and risk-based vulnerability prioritization in CI/CD pipelines. Use when building DevSecOps workflows, ensuring compliance, or establishing security gates for container deployments.
Set up GitHub Actions CI/CD to automatically regenerate putior workflow diagrams on push. Covers workflow YAML creation, R script for diagram generation with sentinel markers, auto-commit of updated diagrams, and README sentinel integration for in-place diagram updates. Use when workflow diagrams should always reflect the current state of the code, when multiple contributors may change workflow-affecting code, or when replacing manual diagram regeneration with an automated CI/CD pipeline.
Laserfocus platform help — Salesforce overlay with Stacks, table views, bulk editing, precache technology, and task management. Use when reps find native Salesforce UI too complex for daily pipeline work, Salesforce data entry is slow and reps skip updates, evaluating Laserfocus vs Scratchpad vs Weflow vs Dooly for Salesforce overlay, need a lightweight Salesforce alternative without replacing the CRM, or Laserfocus Stacks or Field Groups not working as expected. Do NOT use for general CRM selection (use /sales-crm-selection) or conversation intelligence / call recording (use /sales-note-taker).
Iterate on RAG systems with structured evals instead of eyeballing. This skill should be used when the user is tuning a RAG pipeline — changing retrieval prompts, swapping models, adjusting chunking, or debugging poor answers — and wants a cheap, ranked set of experiments with cost tracking and structured feedback on the stack. Also use when the user asks "how do I know if my RAG is working?", "this RAG eval is burning money", or "what should I try next on retrieval?".
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.
Automates the full code release pipeline — branch, commit, push, PR, wait for CI, merge, version bump, release, cleanup.
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.
Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
Write SQL, TypeScript, and dynamic table transforms for Goldsky Turbo pipelines. Use this skill for: decoding EVM event logs with _gs_log_decode (requires ABI) or transaction inputs with _gs_tx_decode, filtering and casting blockchain data in SQL, combining multiple decoded event types into one table with UNION ALL, writing TypeScript/WASM transforms using the invoke(data) function signature, setting up dynamic lookup tables to filter transfers by a wallet list you update at runtime (dynamic_table_check), chaining SQL and TypeScript steps together, or debugging null values in decoded fields. For full pipeline YAML structure, use /turbo-pipelines instead. For building an entire pipeline end-to-end, use /turbo-builder instead.
Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.
Provides expert guidance for troubleshooting Cloud Composer (Apache Airflow) and Orchestration pipelines. Use this skill when the user asks to generate Root Cause Analysis (RCA), troubleshoot or fix a failed pipeline, DAG in Composer environment and generate RCA report.
This skill should be used when the user asks to "create a workflow", "run a workflow", "design a task pipeline", "execute a workflow", "resume a workflow", or "plan a multi-step automation". Creates and executes custom, repeatable workflows with multiple steps that can each use different AI models and run in parallel waves. Triggers on: 'create workflow', 'run workflow', 'execute workflow', 'workflow plan', 'workflow run', 'resume workflow', 'multi-step workflow', 'task pipeline', 'automation'.