Search: "give"

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.

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

Entry point and router for every Expo or EAS task. Load this skill first — before writing code and before choosing another expo-* / eas-* skill — when the request, PRD, or spec mentions Expo, EAS, Expo Go, or an expo-* package, or the project has an `expo` dependency in `package.json`. Within that gate it also covers app specs and designs to implement (tabs, stacks, maps, lists, navigation, building from a screenshot), and phrasings like 'implement a mobile app', 'make my app look native', 'add navigation', 'fetch some data', 'upgrade my SDK', 'add Expo to my existing native app', 'ship to the App Store', or 'I'm new to Expo, where do I start'. A fully specified request (SDK pinned, libraries named, layout given) still routes through here — the shared setup rules still apply. Do NOT load it when neither signal is present: a bare React Native project with no `expo` dependency is not Expo work. Detects the real goal, routes to the right expo-* / eas-* skill, and owns the shared setup rules.

Writes, reviews, and debugs property-based tests — Hypothesis, fast-check, proptest, jqwik, rapid, and Echidna or Medusa for Solidity invariants. Use whenever tests should cover a whole input domain instead of a hand-picked list of examples: encode/decode and serialize/deserialize pairs, parsers, canonicalizers and normalizers, validators, numeric and Decimal types, comparators and sort order, data structures, and smart-contract state invariants. Also use when adding cases to an existing @given, fast-check, or proptest suite, when judging whether existing property tests assert anything real, and when a generator has shrunk a counterexample and you need to tell a wrong property from a genuine bug. Not for coverage-guided binary fuzzing (libFuzzer, AFL), mutation-testing campaigns, static analysis, benchmarking, or end-to-end UI tests.

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.

The Linux for AI Agents — A local OS that gives any LLM persistent memory, autonomy, and time-awareness. Own the state. Rent the intelligence.

EGC gives every AI coding agent the same brain. Shared memory, skills, and live context across Cursor, Claude Code, Copilot, Aider, and 20+ AI coding tools with zero configuration. Every tab, terminal, and AI stays automatically synchronized. One brain. Everywhere.

A Chrome extension that reads the LinkedIn job posting you're viewing and gives you one-click searches for the people behind it: recruiters, the hiring team, past interns, and people posting about the role. It does not scrape people results or automate LinkedIn. It only reads the posting on scree...

How to launch a new campaign safely 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 to create, launch, set up or draft a campaign, ad group, ad set or ad on any of those platforms, or asks what a launch needs before it can go live. It gives the pre-flight checks, the resolver calls that must run before any write, the create tool and minimum budget per platform, what the proposal must show, and how to read a launch back and verify it.

How to improve an existing ad account 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 to cut wasted spend, add negative keywords, reallocate or raise budgets, change a bid strategy, fix placements or audiences, pause what is not working, or asks "what should I do about this account". It gives the order to work in, which diagnosis tool feeds which change, how to size a change, how to phrase the proposal, and what to leave alone.

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.