Loading...
Loading...
Found 1,832 Skills
Generate a weighted sales forecast with best/likely/worst scenarios, commit vs. upside breakdown, and gap analysis. Use when preparing a quarterly forecast call, assessing gap-to-quota from a pipeline CSV, deciding which deals to commit vs. call upside, or checking pipeline coverage against your number.
Use this skill when setting up CI/CD pipelines, configuring GitHub Actions, implementing deployment strategies, or automating build/test/deploy workflows. Triggers on GitHub Actions, CI pipeline, CD pipeline, deployment automation, blue-green deployment, canary release, rolling update, build matrix, artifacts, and any task requiring continuous integration or delivery setup.
Debugs errors and traces failures in AI agents and their tools. Use this skill when the user says: "the agent is failing", "tool call not working", "error in the pipeline", "debug this", "why is the agent doing X instead of Y", "trace the execution", "agent is stuck", "infinite loop", "model response won't parse", "context overflow". Identifies context errors, infinite loops, malformed tool calls, response parsing issues and subagent conflicts.
Coordinate multi-agent swarms for parallel and pipeline workflows. Use when coordinating multiple agents, running parallel reviews, building pipeline workflows, or implementing divide-and-conquer patterns with subagents.
Optimize CI/CD pipelines for speed, reliability, and efficiency. Use when improving build times, fixing pipeline failures, or enhancing deployment processes.
Comprehensive toolkit for validating, linting, and securing Azure DevOps Pipeline configurations.
Guide for creating GreptimeDB Pipeline, by which user can add a process layer to GreptimeDB between ingestion and storage, to transform data.
Use to enforce stage definitions, next-step requirements, and data completeness across the pipeline.
Jenkins Pipeline Intro - Auto-activating skill for DevOps Basics. Triggers on: jenkins pipeline intro, jenkins pipeline intro Part of the DevOps Basics skill category.
Sales strategy expertise for sales methodologies (MEDDIC, SPIN, Challenger), sales forecasting, account management, pipeline management, sales enablement, and revenue operations. Use when building sales processes, qualifying deals, managing pipelines, or improving close rates.
Goldsky Turbo pipeline YAML reference — the authoritative source for field names, required vs optional fields, and valid values. Use whenever the user asks about specific YAML fields: what does `start_at: earliest` vs `latest` do, what fields does a postgres/clickhouse/kafka sink require, what is the `from:` field in a sink, how does `checkpoint` work, what's the syntax for `batch_size` or `primary_key`. Also use for validation errors like 'unknown field' or 'missing required field'. For interactive pipeline building end-to-end, use /turbo-builder instead.
Design and architect Goldsky Turbo pipelines. Use this skill for 'should I use X or Y' decisions: kafka source vs dataset source, streaming vs job mode, which resource size (xs/s/m/l/xl/xxl) for my workload, postgres vs clickhouse vs kafka sink, fan-in vs fan-out data flow, one pipeline vs many, dynamic table vs SQL join, how to handle multi-chain deployments. Also use when the user asks 'what's the best way to...' for a pipeline design problem, or is unsure how to structure their pipeline before building it.