Search: "poses"

Predicts protein-small-molecule binding poses with DiffDock and DiffDock-L from PDB or sequence plus SMILES/SDF/MOL2. Covers batch docking, pose triage, confidence interpretation, and validation. Use for molecular docking and virtual-screening pose generation, not binding-affinity prediction.

Stop and check this skill before finishing any reply to a question about how to use Claude or a Claude product — it recommends matching courses, tutorials, and use cases from Claude Academy (academy.claude.com), Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting started with", "what can Claude do", "teach me", "learn to use"; questions about artifacts, projects, skills, plugins, connectors, MCP; requests about rolling Claude out to a team, class, or organization; and any ask for training materials, onboarding content, or learning resources. Use it when the user is learning how to use a feature or product — not when they are mid-task and just want the task done. This skill composes with other skills: after consulting product documentation to answer how a Claude feature works, also check here for a matching course or tutorial — a docs-grounded answer and an Academy recommendation belong together. Only recommend on a strong match; never invent Academy content.

A JetBrains IDE plugin that exposes an MCP (Model Context Protocol) server, giving AI coding assistants full programmatic control over the debugger. Set breakpoints, step through code, inspect variables, and evaluate expressions—all driven autonomously by your AI assistant.

MCP governance server in Go for the Agentic Wiki — knowledge that composes, not that you query

Use this skill when an agency operator wants to work through a brand's pending Awin publisher applications and approve or decline them in one assisted batch. The pending queue is read from the Awin API; the approve or decline click is carried out in the operator's own authenticated Awin session through Claude-in-Chrome, because Awin exposes no public approve/decline endpoint. Decisions follow the brand's recorded strategy only, and the whole batch runs against a single explicit human confirmation. Trigger on: "approve pending Awin publishers for Acme", "work through Acme's Awin application queue", "auto-approve Awin applicants for [brand]", "clear the Awin pending publishers for Acme".

Use this skill to triage inbound customer and user feedback for affiliate-mcp in prepare-and-approve mode: read new and updated GitHub issues and the support inbox, draft grounded replies from the repo's own docs, propose triage labels, and escalate anything ambiguous, tense, or money-related to the operator. It drafts replies and proposes labels; it never posts a public comment or sends an email itself. Trigger on: "triage the support queue", "draft replies to new issues", "any new user feedback?", "handle customer service", "what did users report today?".

Use this skill when a publisher or agency wants to actually apply to a batch of Awin brand programmes they have not yet joined. The joinable set is read from the Awin API; applying is a click Awin exposes no API for, so it is carried out in the operator's own authenticated Awin session through Claude-in-Chrome. For every programme the skill surfaces the advertiser's terms for review, lets the operator drop rows, and submits only after one explicit batch confirmation that stands as informed acceptance of the terms shown. Trigger on: "apply to these Awin brands", "join these Awin programmes for me", "submit my Awin applications", "apply to my Awin shortlist", "join [brand] on Awin".