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Found 6,868 Skills
AWS-curated copy-paste prompts for AI coding agents (MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly detection, GPU quota requests, EKS deployment, Well-Architected review, etc.) plus downloadable installable agents (Multi-Account Transition Advisor, Bill Shock Preventer, Service Quota Agent, Bedrock Model Availability Agent, AWS DB Advisor). Use when the user asks for a prompt to do X on AWS, wants an installable agent for multi-account / cost monitoring / quota management / Bedrock model availability / database selection, or asks how to use AWS prompts. For migration intent (GCP to AWS, OpenAI/Gemini to Bedrock), route to the migration-to-aws skill. Do not use for: factual AWS Activate / programs / credits questions, learn articles, sample architectures, or for prompts that are not in the bundled `references/prompt-library/` tree.
Decide whether to fine-tune at all, and route to the right method (SFT, DPO/ORPO/KTO, GRPO/RLVR, continued pretraining) and base model. Use when starting any fine-tuning effort, when unsure whether RAG or prompting would suffice, or when choosing between preference-optimization and reinforcement methods.
Configure GitHub for Cyrus — gh CLI login and git config for PRs, with optional webhook setup to enable @mention responses in PR comments, automated rebases and merges, and auto-fixing based on CI failures (coming soon).
Guided workflow to eliminate copy-paste duplication detected by jscpd. Refactor clones using extract function, module, constant, or base class strategies.
Diagnose what state one open PR is actually in — unfinished plan steps, missing review, unresolved conversations, red CI, base conflicts, missing QA evidence, merge-ready — then run the matching chain of om-* skills in order and publish a status report. Use for "finish PR 123", "what is left on PR 123", "drive PR 123 to the end".
Collect posts by location from Instagram — posts, media, engagement, author, location. Use when the user wants to research content tied to a place or run location-based campaigns.
Turn a novel into a fully playable game on the selected target platform. Orchestrates the whole adaptation pipeline — requirements intake, gameable deconstruction, concept selection, world and visual design, target-runtime build, and evidence-based QA — for a novel in any language. Use for novel to game, story to game, book to game, adapt this novel into a game, turn this book into a playable prototype, make an interactive story or text adventure from this novel. NovelToGame Main Entry. Convert original novels, split libraries, or oh-story writing projects in any language into games that are based on the original works and fully playable on the target platform. Orchestrate gameable deconstruction, concept selection, game and visual design, target runtime environment construction, and evidence-based quality verification. Suitable for requirements such as novel-to-game conversion, turning a book into a game, adapting a novel into an interactive novel/interactive narrative/text adventure game, etc.
Use when exploring or modifying a codebase and you need a cheap structural map of files, directories, imports, exports, or direct members before reading full source.
Use this skill when the user needs NetSuite-based finance analysis, Director of Financial Analysis support, period-close guidance, variance review, reconciliation review, cash reporting, or executive-ready financial narrative generation. Apply it to requests involving income statements, balance sheets, cash flow, budget versus actuals, AR or AP aging, month-end close, SOX-oriented finance checks, journal entry review, and board or CFO reporting. Prefer it when the request clearly involves NetSuite financial data interpretation or finance operations, but do not use it for general NetSuite development or non-finance administration tasks.
Write, edit, review, or audit user-facing documentation for the eve repository. Use for changes under docs/, documentation tied to eve APIs or CLI behavior, docs work based on Slack or support feedback, and requests to make eve docs clearer, more natural, or less AI-patterned while verifying claims against current source, tests, CLI help, public releases, and repository conventions.
Own rendered visuals and visual redesign from supplied content or values: plot, beautify, lay out, generate, reconstruct, and QA paper figures, visual tables, method/architecture diagrams, icons, palettes, reference-guided layout control, and editable SVG/PDF/PPTX. Use for result-table layout, color/readability improvement, visual table redesign without changing numbers, 绘图美化, 排版, 配色, architecture diagrams, GPT Image 2 generation, reference-driven composition, explicit pure SVG, and editable reconstruction. Visual beautification remains here even for experiment results. Do not choose datasets/baselines/metrics, design evidence semantics, invent content, review the paper, rewrite prose, or convert PDFs into writing exemplars.
Use this skill when testing a RevenueCat Android integration. Covers the RevenueCat Test Store (test_ API key prefix, in dialog Success/Fail/Cancel choice), mockk based unit testing with an interface wrapper around Purchases, and a GitHub Actions CI pattern. Avoids Google Play sandbox for day to day test iteration.