Total 54,172 skills, AI & Machine Learning has 9012 skills
Showing 12 of 9012 skills
Orchestrate continual learning by delegating transcript mining and AGENTS.md updates to `agents-memory-updater`.
How to work in a Codebase Wiki project (the `codebase-wiki` starter pack): an agent-authored, source-grounded wiki of the surrounding codebase. Read when the project has a `wiki/` knowledge base with `architecture/`, `modules/`, `flows/`, `concepts/`, and `guides/` sections plus `wiki/OVERVIEW.md`, or when asked to generate or refresh a wiki of this codebase. Carries the per-folder rules and freshness + log discipline, summarizes the audience/depth knobs and source-reference convention, and bundles the full generate/refresh procedure in `references/`. Complements the platform `open-knowledge` skill; does not replace it.
Reference-product ecommerce image workflow for generating a compact set of product-faithful main, feature, and lifestyle images from real product reference photos. V1 requires uploaded product imagery and intentionally defers brief-only concept generation and platform-specific batch exports.
Documenting agents. Applicable when creating or editing skills, or modifying AGENTS.md or CLAUDE.md.
通过 Comet Creator 创建或升级 Comet Classic workflow Skill。不用于一般 Skill 的编写、整理或评审。
Divergent conversation before any artifact exists — open questions one at a time, alternatives including building nothing, converging on a routing decision and a handoff brief for the next skill. Runs before om-spec-writing and om-prepare-issue. Use when the user says "should we build this", "let's think this through", "I have an idea", "is this worth doing".
Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_prep_search, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → prep_search → index → query).
Spawn a full Claude session in a tmux window to work a task, or hand this conversation to one.
Dispatch independent tasks to concurrent subagents. Use when two or more failures or tasks are independent, sharing no files or state, and can be worked simultaneously.
Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a *specific* Agent via the Conversation API. For general data questions or finding data across your workspace, use databricks-data-discovery (Genie One) instead.
Full ceremony mode for the whole suite. Run /deep before risky or ambiguous work; /deep off returns to fast-first.
Internal support skill, the relentless interview loop other skills delegate to. Use only when another skill or the user explicitly triggers it, never on your own.