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Found 1,512 Skills
Run and monitor existing (B2C/demandware/SFCC) jobs using the b2c cli, import/export site archives (IMPEX). Always reference when using the CLI to run jobs, import or export site archives, check job execution status, or trigger search indexing. For creating new jobs, use b2c-custom-job-steps skill instead.
Execute read-only T-SQL queries against Fabric Data Warehouse, Lakehouse SQL Endpoints, and Mirrored Databases via CLI. Default skill for any lakehouse data query (row counts, SELECT, filtering, aggregation) unless the user explicitly requests PySpark or Spark DataFrames. Use when the user wants to: (1) query warehouse/lakehouse data, (2) count rows or explore lakehouse tables, (3) discover schemas/columns, (4) generate T-SQL scripts, (5) monitor SQL performance, (6) export results to CSV/JSON. Triggers: "warehouse", "SQL query", "T-SQL", "query warehouse", "show warehouse tables", "show lakehouse tables", "query lakehouse", "lakehouse table", "how many rows", "count rows", "SQL endpoint", "describe warehouse schema", "generate T-SQL script", "warehouse performance", "export SQL data", "connect to warehouse", "lakehouse data", "explore lakehouse".
Use when migrating to another AI platform — exports all stored memories, context, preferences, and instructions so you can import them elsewhere
Use when the user needs project structure organization — monorepo patterns, feature-based architecture, naming conventions, barrel exports, or configuration placement. Trigger conditions: restructure project directories, set up monorepo, define naming conventions, create barrel exports, organize configuration files, plan migration from flat to feature-based structure, establish import ordering rules.
Use eth2-quickstart to autonomously deploy a hardened Ethereum node, install execution and consensus clients, configure validator metadata, expose RPC safely, and inspect node health with structured JSON output.
Customize Riverpod automatic retry on provider failure; retry function, per-provider and global retry, disabling retry, ProviderException, awaiting retries. Use when a provider can fail transiently and should retry, or when you need to disable or customize retry logic. Use this skill when the user asks about retry, failed providers, or exponential backoff in Riverpod.
Detect IBD-style Distribution Days for QQQ/SPY (close down at least 0.2% on higher volume), track 25-session expiration and 5% invalidation, count d5/d15/d25 clusters, classify market risk (NORMAL/CAUTION/HIGH/SEVERE), and emit TQQQ/QQQ exposure recommendations. Use after market close, before TQQQ exposure changes, or as input to FTD/market-state frameworks. Does not execute trades.
Manage multiple Alibaba Cloud accounts and batch-export Security Center (SAS) baseline and vulnerability reports via the aliyun CLI and Python scripts. Supports account list refresh, enable/disable, concurrent batch export of cloud platform configuration check (baselineCspm), system baseline risk (exportHcWarning), Linux/Windows/application/emergency vulnerability results across all managed accounts. Use this skill when users need to manage SAS multi-account settings, export baseline or vulnerability compliance data, or merge multi-account security reports into a single file.
Converts Notion databases and pages to structured Markdown format using Notion MCP. Use when working with Notion data visualization, documentation, or exporting Notion content.
Standard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.
AI agent-friendly CLI RSS/Atom feed viewer with discovery, search, and OPML import/export. Use when an agent needs to manage RSS feeds, read articles, or run feed discovery from the terminal. Triggered by: "read RSS feeds", "view RSS", "RSS reader CLI", "rss-viewer", "discover RSS feeds", "import OPML", "search feeds", or "discover-search feeds".
Integrate and operationalize the `cm-reporting` library in host React applications, including dependency setup, template delivery, component wiring, Snapshot import/export, Excel export, integrations callbacks, and legacy adapter flows. Use when users need to adopt this library, design production integration architecture, implement external pickers, troubleshoot runtime/export issues, or standardize delivery checklists.