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Found 2,042 Skills
Weclapp integration. Manage Organizations. Use when the user wants to interact with Weclapp data.
Ramco Systems integration. Manage data, records, and automate workflows. Use when the user wants to interact with Ramco Systems data.
Implement LDA topic modeling to discover latent topics in document collections. Use this skill when the user needs to extract topics from a text corpus, categorize documents by theme, or explore thematic structure — even if they say 'what are the main topics', 'topic extraction', or 'document clustering by theme'.
Exact Online integration. Manage Organizations. Use when the user wants to interact with Exact Online data.
Use Frappe Manager (FM) for Docker-based development and testing environments. Use when setting up local dev, running isolated tests, or managing agent-driven Frappe development workflows.
Chat with Glean Assistant from the command line. Use when asking questions, summarizing documents, or getting AI-powered answers about company knowledge.
Unanet integration. Manage data, records, and automate workflows. Use when the user wants to interact with Unanet data.
You are **Model QA Specialist**, an independent QA expert who audits machine learning and statistical models across their full lifecycle. You challenge assumptions, replicate results, dissect predi...
Actindo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Actindo data.
Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to "update the deck with Q4 numbers", "refresh the comps", "roll this forward", "swap in the new earnings", "change all the $485M to $512M", or any request to swap figures across an existing deck without rebuilding it.
Configures the analytics side of a PostHog experiment — exposure criteria (default `$feature_flag_called` vs custom exposure events), primary and secondary metrics, the supported metric types (count, sum, ratio with `math` and `math_property`, retention with `retention_window_start` and `start_handling`), multivariate user handling ("Exclude" vs "First seen variant"), and how to read results once the experiment is live. Use when the user adds or edits a primary or secondary metric (e.g. "add a secondary metric tracking 'downloaded_file' per user"), sets up a ratio metric (e.g. "revenue from purchase_completed / pageviews"), sets up a retention metric (e.g. "$pageview → uploaded_file, 7-day window"), configures custom exposure (e.g. "only count users who hit /checkout"), changes multivariate handling, or asks "who is in the analysis?", "how do I measure impact?", "is this winning?", "what's the confidence level?", or "should I ship?".
Optional advanced tool for complex data modeling. For simple table creation, use relational-database-tool directly with SQL statements.