Search: "plain"

Explain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions, handling multi-output explanations, and producing local or global SHAP visualizations.

Run and control a user's app on a remote iOS/Android simulator hosted on EAS cloud. Read before running any `eas simulator:*` commands - it has the current syntax for this experimental API. Use whenever the user needs a simulator they can't run locally - 'run my app on a cloud simulator', 'use eas simulator to run/install/screenshot my app', 'I'm on Linux/Cursor and need an iOS device', 'no sim on this box / headless CI', 'let an agent click through my app and screenshot it', 'test my dev build on a remote sim with live reload', 'stream a sim to my browser' - even when they don't say 'EAS Simulator' or 'cloud'. On a host WITHOUT a local simulator (Linux, CI, cloud sandbox) it's the default; on macOS, do NOT auto-trigger for a plain 'run on the simulator' - use it only for a cloud/remote/shareable sim, an iOS version they lack, or an agent-driven session. NOT for local sims (expo run:ios, Xcode, Android Studio), EAS Build/Update, web preview, or physical devices.

Configure and use EAS Update for over-the-air JavaScript and asset updates with expo-updates and EAS CLI. Use when setting up OTA updates, running eas update:configure or eas update, publishing to preview/staging/production channels, explaining branches/channels/runtime versions, testing updates, or debugging why an installed build still shows old code. Load for TestFlight, preview, or production updates that do not appear, including questions about cold launches or reopening the app. Not for update health metrics; use eas-update-insights for adoption, crashes, and rollout monitoring.

After you give a substantive answer or draft that the user may act on — advice or recommendations, drafted artifacts such as goals, plans, pitches, proposals, or emails, estimates or projections, analysis or interpretation of data, factual claims they may rely on, or a multi-step argument — invoke this skill BEFORE finalizing your reply and then, if it applies, append 2-3 short follow-up questions, each tied to something specific in what you just produced, that help the user check key facts, probe the reasoning or assumptions, and notice missing context. Do this at most once per conversation. Skip it when the user asked a trivial how-to or simple lookup, wants a purely educational explanation, asked you only to format, convert, or assemble a file from content they provided, is writing code they will run, is doing creative writing or casual chat, or already asked you to double-check, cite, or review — the skill file explains these boundaries and the exact output format.

Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.

Automate Plain tasks via Rube MCP (Composio). Always search tools first for current schemas.

turn old phones into ai agents - give it a goal in plain english. it reads the screen, thinks about what to do, taps and types via adb, and repeats until the job is done.

Multi-AI documentation for OpenClaw: architecture, security audits, deployment guide

Local-first, open-source AI testing for the web. Rides the coding-agent CLI you already have (Claude Code / OpenAI Codex — subscription or API key) to drive your real Chrome via Playwright MCP. Clean runs crystallize into plain @playwright/test specs that run in CI with no AI. ✦ AI optimize pass · 🛡️ security mode for IDOR / authz.

Use this skill when an operator wants to record, review, or change a client's affiliate strategy and KPI targets so reports can be judged against the client's own plan. Capture is conversational: the operator pastes an existing brief, deck, or email, or just describes the client in their own words, and this skill drafts the strategy and KPI files, reads them back in plain English, and saves them only after the operator confirms. Thereafter it edits them through chat. Trigger on: "set up a strategy for Acme", "record Acme's KPIs", "onboard a new client", "what are we aiming for with Acme?", "raise Acme's Q3 revenue target to 400k", "Acme prefers premium partners, no coupon sites", "save this client brief".

How to run a performance review across ad accounts with Adako, the MCP server and REST API that connects this assistant to Google Ads, Meta Ads, ChatGPT Ads, TikTok Ads and LinkedIn Ads. Use it whenever the user asks how campaigns did, what a period cost and returned, why results changed, which campaigns are wasting money, how one week compares with the last, or asks for a weekly or monthly account review across one or several accounts. It gives the order of calls per platform, the metric each objective is judged on, how to fan out across accounts, how to explain a change instead of guessing at it, and how to present the numbers.

How to run a performance review across ad accounts with Adako, the MCP server and REST API that connects this assistant to Google Ads, Meta Ads, ChatGPT Ads, TikTok Ads and LinkedIn Ads. Use it whenever the user asks how campaigns did, what a period cost and returned, why results changed, which campaigns are wasting money, how one week compares with the last, or asks for a weekly or monthly account review across one or several accounts. It gives the order of calls per platform, the metric each objective is judged on, how to fan out across accounts, how to explain a change instead of guessing at it, and how to present the numbers.