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Compute relative and absolute binding free energies with the Open Free Energy toolkit — the rigorous alchemical alternative to docking scores when a congeneric series needs reliable potency ranking. Use this skill to plan a perturbation network over a ligand set, choose atom mappings, run hybrid-topology or separated-topology protocols, and analyse the result — per-edge ΔΔG with uncertainty, cycle-closure error, and mean unsigned error against measured affinities. Also trigger on OpenFE, alchemical transformation, thermodynamic cycle, RBFE, ABFE, SepTop, lambda window, MBAR, cycle closure, or perturbation map.

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当用户想判断一个问题是否能用监督学习解决,或试图把业务问题转化为AI问题时调用。 用户在问"AI能不能做X"、"这算不算机器学习问题"、"我们的业务场景适合用AI吗"时使用。 不适用于: 纯数据分析洞察、无明确输入输出的探索性问题、聚类等非监督学习场景。

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Use when debugging with LLDB on macOS, FreeBSD, or Linux-clang, mapping GDB commands to LLDB, Xcode or VS Code integration, LLDB Python scripting, or debugging Swift and Objective-C.

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Use when reducing header bloat and compilation cascades with Include What You Use, interpreting IWYU reports, mapping files, forward declarations, or CMake integration.

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Use when loading core files in GDB or LLDB, enabling core dump generation via ulimit or coredumpctl, mapping symbols with debuginfod, or extracting backtraces from production segfaults.

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Use when building static archives with ar, stripping or converting binaries, mapping crash addresses with addr2line, or demangling C++ symbols. Not for ELF analysis: use elf-inspection.

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Use when the user asks to set up the agent environment. Covers credentials, placeholders, tool access checks, a uv venv, a pack install, or a role-model mapping file. Not for unattended runs.

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Design or implement the smallest complete executable evidence for a governed Proto UI behavior. Use for conformance cases, regression tests, cross-layer verification, test-entity mappings, failure-path coverage, or validation-plan design. Do not use tests to decide unsettled semantics.

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Read project data documentation (data dictionaries, dbt manifests, model docs, column descriptions, lineage, metric definitions) before writing analytics SQL. Use for mapping business and product terms to concrete models and columns.

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Read project data documentation (data dictionaries, dbt manifests, model docs, column descriptions, lineage, metric definitions) before writing analytics SQL. Use for mapping business and product terms to concrete models and columns.

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Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, Google Cloud migration, migrate from OpenAI to Bedrock, move off OpenAI, switch from ChatGPT API to AWS, migrate from Gemini to Bedrock, migrate LangChain to Bedrock, migrate LangGraph to AWS, migrate agentic workloads to AWS, move AI workloads to AWS, migrate my AI app to AWS. Runs a 6-phase process: discover GCP resources from Terraform files, app code, or billing exports, clarify migration requirements, design AWS architecture, estimate costs, generate migration artifacts, and collect optional feedback. Clarify must finish before Design, Estimate, or Generate. Includes AI provider migration guidance (for example, OpenAI to Amazon Bedrock) by selecting closest-fit Bedrock model families for required modality, latency/quality targets, context windows, and cost constraints. Model mapping is compatibility-guided, not 1:1 parity; validate prompts, tool-calling behavior, and eval metrics before cutover. Do not use for: Azure or on-premises migrations to AWS, AWS-to-GCP reverse migration, general AWS architecture advice without migration intent, GCP-to-GCP refactoring, or multi-cloud deployments that do not involve migrating off GCP.

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Design the technical architecture for a NowStack Mobile app from .agents/plan/PRD.md, mapping the product onto the FIXED boilerplate stack (Convex schema + functions, Expo Router screens, Better Auth, Apple IAP/Stripe, R2), then save .agents/plan/ARCHITECTURE.md. Use for "design the architecture", "ns architecture", "plan the schema and screens", or as the second planning step after ns-prd and before ns-tasks. Not a blank-slate stack design — the stack is set; this maps features onto it.

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Set up Convex authentication and authorization. Use for Convex Auth, Better Auth, Clerk, Auth0, JWT providers, auth.config.ts, protected functions, and user mapping.

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Deep-dive ONE competitor's organic footprint — exact ranking keywords and URLs, content themes, backlink profile, and exploitable gaps — with findings written into brand/competitors.md. Use this skill when the user names a competitor and wants to know what to learn from them, counter, or outrank, including head-to-head comparisons against the user's own domain. For market-level mapping first, use openseo-competitive-landscape. Triggers: "analyze competitor", "competitor keywords", "competitor backlinks", "beat <competitor>", "competitor seo teardown".

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Cluster keywords by search intent and map each cluster to an existing or proposed page, with cannibalization detection from Search Console. Use this skill when the user has a keyword list (saved set, brand/keyword-plan.md, GSC export, or seed topic) and needs page targets, content briefs, or a site map for SEO pages — especially before seo-content or seo-machine page generation. Triggers: "cluster keywords", "keyword mapping", "map keywords to pages", "keyword cannibalization", "which page should target".

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Use when creating nonlinear outlines, generating mindmap diagrams for article structure, mapping a knowledge domain visually, or bridging raw ideas into structured options for the user to select from.

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Helps developers integrate, debug, and resolve Play Engage SDK implementation issues. Use when adding Engage SDK support, generating publishing code, mapping data classes to entities, or fixing SDK-related errors.

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This skill should be used when the user needs to analyze a Cyclr export, parse Cyclr JSON files, migrate from Cyclr to Prismatic, convert Cyclr cycles to CNI flows, map Cyclr steps to Prismatic equivalents, or interpret Cyclr connector settings, field mappings, and cycle parameters. Relevant when the user says "analyze Cyclr export", "migrate from Cyclr", "parse Cyclr JSON", "convert Cyclr cycle to Prismatic", or "what does this Cyclr step map to".

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Core knowledge for migrating integrations from other platforms (Boomi, Cyclr) to Prismatic Code Native Integrations. Provides the standard integration schema, schema-to-spec mapping, confidence scoring, and migration-aware code generation patterns. Use when the user says "migrate", "convert from Boomi/Cyclr", "parse this export".

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Implement or update iOS SwiftUI UI from Figma designs; also use for implementation plans, token mapping, or asset export for that UI.

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Find and position a viable niche market for a one-person company by combining market mapping and customer segmentation. Use when Codex needs to explain niche concepts when needed, check founder-resource prerequisites, ask one question at a time, generate multiple niche options, and write user-confirmed positioning outputs into `opc-doc/`.

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Discover what Cowork can do for YOUR specific role and tasks, for mapping your daily work to Cowork capabilities. Use when exploring what Cowork offers, for planning your Cowork adoption, during onboarding and role discovery, when figuring out where to start, or when the user says "what can cowork do", "what is cowork", "show me cowork features", "how can cowork help me", "what should I use cowork for", or "cowork capabilities".

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Use this skill when writing Phase 1b verification architecture documents. Provides purity boundary mapping, proof obligation design, and tier assignment guidance.

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Use when documenting a named campaign across time and victims, the user asks to start or update a campaign record, or another skill identified a multi-incident cluster that warrants formal tracking. Provides the template (timeline, attribution, victimology, attack chain, Diamond Model mapping, IOC clusters) and the lifecycle from active to historical.

日本語の概要は準備中です。原文の説明を表示しています。