Skills
18,283 skills, most installed first.
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prospectapolloioFull ICP-to-leads pipeline. Describe your ideal customer in plain English and get a ranked table of enriched decision-maker leads with emails and phone numbers.sequence-loadapolloioFind leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.react-native-ease-refactorappandflowScan for Animated/Reanimated code and migrate to EaseViewpdfappautomatonComprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.pptxappautomatonPresentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasksappwrite-dartappwriteAppwrite Dart SDK skill. Use when building Flutter apps (mobile, web, desktop) or server-side Dart applications with Appwrite. Covers client-side auth (email, OAuth), database queries, file uploads with native file handling, real-time subscriptions, and server-side admin via API keys for user management, database administration, storage, and functions.appwrite-dotnetappwriteAppwrite .NET SDK skill. Use when building server-side C# or .NET applications with Appwrite, including ASP.NET and Blazor integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.appwrite-goappwriteAppwrite Go SDK skill. Use when building server-side Go applications with Appwrite. Covers user management, database/table CRUD, file storage, and functions via API keys. Uses per-service packages and functional options pattern.appwrite-kotlinappwriteAppwrite Kotlin SDK skill. Use when building native Android apps or server-side Kotlin/JVM backends with Appwrite. Covers client-side auth (email, OAuth with Activity integration), database queries, file uploads, real-time subscriptions with coroutine support, and server-side admin via API keys for user management, database administration, storage, and functions.appwrite-phpappwriteAppwrite PHP SDK skill. Use when building server-side PHP applications with Appwrite, including Laravel and Symfony integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.appwrite-pythonappwriteAppwrite Python SDK skill. Use when building server-side Python applications with Appwrite, including Django, Flask, and FastAPI integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.appwrite-swiftappwriteAppwrite Swift SDK skill. Use when building native iOS, macOS, watchOS, or tvOS apps, or server-side Swift applications with Appwrite. Covers client-side auth (email, OAuth), database queries, file uploads, real-time subscriptions with async/await, and server-side admin via API keys for user management, database administration, storage, and functions.pi-history-ingestar9avIngest Pi coding agent session history into the Obsidian wiki. Use this skill when the user wants to mine their past Pi sessions for knowledge, import their ~/.pi/agent/sessions folder, extract insights from previous coding sessions, or says things like "process my Pi history", "add my Pi sessions to the wiki", "ingest ~/.pi", or "what have I worked on in Pi". Also triggers when the user mentions Pi sessions, Pi agent history, ~/.pi/agent/sessions, or Pi conversation logs.vault-skill-factoryar9avGenerate a portable, self-contained Agent Skill from mature, curated Obsidian wiki pages — turning a cluster of verified knowledge into a reusable "digital expert" (SKILL.md + references/). Use this skill when the user says "/vault-skill-factory", "make a skill from my wiki", "turn these pages into a skill", "generate an agent skill from my vault", "package my notes on X as a skill", "build a domain-expert skill from my wiki", or wants to distill recurring, mature wiki knowledge into a shareablewiki-importar9avImport a wiki knowledge graph into the current vault — either from a graph.json export file (stubs) or from an OKF (Open Knowledge Format) markdown bundle (full page bodies). Use this skill when the user says "import wiki", "import from export", "load graph.json", "import vault", "import OKF bundle", "import OKF", "load OKF", "import markdown bundle", "/wiki-import", or wants to transfer pages from one vault to another using the output of wiki-export.frontend-slides-editablearchlizhengUse when the user wants a single-file HTML presentation that stays editable in the browser after generation, or needs object-level layout editing, slide reordering, local save/export, or PPT/PDF-to-web conversion with continued editing.arcjetarcjetAdd Arcjet security protection to HTTP routes, AI agent tool calls, MCP servers, background jobs, and queue workers. Covers rate limiting, bot detection, email validation, prompt injection, sensitive information blocking (including Rampart NER), content moderation, capture/flush, remote Guard policies, typed inputs, and abuse prevention. Works in JavaScript/TypeScript, Python, and Go. HTTP frameworks share this skill. JS Guard adapters that ship on npm are per-adapter reference files loaded fromargos-cliargos-ciOperate Argos visual testing from the terminal with the `argos` CLI — inspect builds and snapshot diffs, submit reviews, request reviewers, post comments, inspect a test's flakiness and its recurring changes, ignore flaky test changes, configure a project and its contributors, manage a team's members, invites and email domains, manage automation rules, fetch analytics, upload screenshots, and manage CI builds. Use whenever running `argos` commands or working with Argos builds, snapshots, flakineargos-pr-reviewargos-ciReview Argos visual regression builds as one input to a pull request review. Use when a PR has an Argos build link, an Argos status check, or a bot comment pointing to an Argos build, and you need to decide whether the visual diffs match the developer's intent before approving.arize-instrumentation-healtharize-aiAudits instrumentation health of existing Arize traces. Runs deterministic checks over a bounded span sample (orphaned/uncategorized/duplicate spans, flat structure, blank root I/O, unset status, missing token counts or children) and returns a ranked report. Use when the user asks why traces look empty/flat/broken, wants to verify instrumentation is healthy, find instrumentation issues, or why evals or token/cost dashboards show n/a or zero. To debug app behavior or errors, use arize-trace.arize-span-routingarize-aiUse when one Python service must send each agent's, tenant's, team's, or request's spans to its correct Arize space and project using application metadata. Covers dynamic OpenTelemetry routing for custom agent builders and multi-tenant applications, including register_with_routing, set_routing_context, multi-space tracing, and custom span routing.swiftui-design-principlesarjitj2Design principles for building polished, native-feeling SwiftUI apps and widgets. Use this skill when creating or modifying SwiftUI views, iOS widgets (WidgetKit), or any native Apple UI. Ensures proper spacing, typography, colors, and widget implementations that look and feel like quality apps rather than AI-generated slop.recallarjunkmrmSearch past Claude Code, Codex, pi and Grok sessions. Triggers: /recall, "search old conversations", "find a past session", "recall a previous conversation", "search session history", "what did we discuss", "remember when we"asoarnabbagxdOptimize an app's store listing for maximum visibility and downloads — keyword strategy, title and subtitle optimization, screenshots, preview videos, rating and review management, and A/B testing on the App Store (iOS) and Google Play (Android). Use when the user says "ASO", "app store optimization", "optimize my app listing", "improve app store ranking", "app store keywords", "app store screenshots", "app store rating", "Google Play optimization", "app visibility", "increase app downloads", "abrand-manifestoarnabbagxdWrite a brand manifesto — a bold, belief-driven declaration of what the brand stands for, fights against, and exists to change. Use when the user says "brand manifesto", "manifesto", "what we believe", "brand declaration", "brand belief statement", "rally the team around the brand", "inspire the team", "internal brand document", "culture document", "why we exist statement", "brand credo", "brand creed", or wants to write something that goes beyond a mission statement to express the brand's convibrand-measurementarnabbagxdDefine KPIs, metrics, and tracking systems to measure brand health, awareness, perception, and equity over time. Use when the user says "brand measurement", "brand metrics", "how do we measure the brand", "brand KPIs", "brand health tracking", "brand awareness metrics", "brand equity measurement", "is our brand working", "brand ROI", "brand performance", "brand tracking", "brand health score", "prove brand value", "brand dashboard", or needs to show stakeholders whether brand investment is delivbrand-partnershipsarnabbagxdBuild brand partnership strategy — co-branding campaigns, brand collaborations, licensing deals, partner brand alignment, and joint marketing. Use when the user says "brand partnership", "brand collab", "co-branding", "brand collaboration", "partnership marketing", "brand alliance", "co-branded product", "licensing deal", "partner with another brand", "brand collaboration strategy", "how do we partner with brands", "co-marketing partnership", "joint campaign", or wants to build credibility, reacd2c-marketingarnabbagxdBuild and execute marketing strategy for Direct-to-Consumer (DTC) brands — customer acquisition, retention, email flows, social proof, subscription models, and repeat purchase mechanics. Use when the user says "DTC marketing", "direct to consumer", "D2C strategy", "selling directly to customers", "cut out the middleman", "DTC brand", "e-commerce brand marketing", "how do we get direct customers", "DTC growth", "consumer brand marketing", "we sell direct", or is building a brand that sells its premail-marketingarnabbagxdBuild and run a full email marketing channel — list building, deliverability, segmentation, newsletter strategy, campaign types, A/B testing, and email design. Use when the user says "email marketing", "email strategy", "email list", "newsletter", "email campaigns", "email list building", "email deliverability", "email open rates", "email segmentation", "email design", "email calendar", "grow my email list", "email marketing plan", "broadcast emails", "email engagement", or wants to use email asgoogle-adsarnabbagxdPlan, build, and optimize Google Ads campaigns — Search, Shopping, Performance Max, Display, and YouTube — including keyword research, match types, bidding strategy, Quality Score, ad extensions, conversion tracking, and ROAS optimization. Use when the user says "Google Ads", "Google advertising", "Google campaign", "search ads", "Google Shopping", "Performance Max", "PMax", "Google Display", "YouTube ads", "keyword targeting", "Google Ads strategy", "Google Ads optimization", "Google Ads accouninfluencer-marketingarnabbagxdBuild an influencer marketing strategy — finding influencers, briefing, contracts, deliverables, performance tracking, micro vs macro strategy, outreach, and FTC compliance. Use when the user says "influencer marketing", "influencer strategy", "work with influencers", "influencer outreach", "influencer brief", "find influencers", "micro influencer", "macro influencer", "nano influencer", "creator marketing", "brand ambassador", "influencer campaign", "influencer collaboration", "seed influencersramsartivillaRun accessibility and visual design review on components. Use when reviewing UI code for WCAG compliance and design issues.asb-carol-dealbreakersasmartbearFacilitates the fourth step of a proven ideal-customer (ICP) method: refining classified weaknesses into deal-breakers — the circumstances that disqualify the product outright, no matter how well everything else fits — and mapping the anti-market segments who therefore will never buy. Takes the weaknesses from a strengths chart (W1, W2, …) plus a keystones file (K1, K2, …), walks the weaknesses one at a time, records deal-breakers with their anti-market segments in DEALBREAKERS.md (D1, D2, …), tasb-carol-defineasmartbearFacilitates the final step of a proven ideal-customer (ICP) method: synthesizing the working files — strengths and weaknesses, honed keystones, deal-breakers, and inciting events — into CAROL.md, the crisp definition of the ideal customer. The definition leads the file, behavioral and attitudinal, never demographic unless genuinely determinative; every marker must clear the bar that Marketing can target it, Sales can qualify against it, and Product can build features to thrill it. Brief referencasb-carol-inciting-eventsasmartbearFacilitates the fifth step of a proven ideal-customer (ICP) method: mapping inciting events — the specific trigger moments that move a perfect-fit customer from could-buy-someday to buying-today. Takes a keystones file (K1, K2, … with market segments) and, when available, customer-interview findings; walks the keystones one at a time, harvesting real trigger stories from interview evidence (marked observed) and working backward through brainstorm lenses — crises, seasonal cycles, strategic windoasb-carol-keystonesasmartbearFacilitates the third step of a proven ideal-customer (ICP) method: refining classified strengths into keystones — the specific characteristics, behaviors, or circumstances that make a customer NEED an extreme version of a strength, badly enough to drive the purchase alone. Takes a strengths chart (S1, S2, … — file or pasted), walks the strengths one at a time asking who requires an extreme version of each, gates every candidate on naming a real market segment that typifies it (no segment = tablasb-carol-observationsasmartbearFacilitates the first step of a proven ideal-customer (ICP) method: gathering raw, honest, specific observations about what a company and product actually are — before any judgment about strengths or weaknesses. Walks the user through twelve unsparing question categories (what customers praise, the complaint with no defense, what separates your most profitable customers, and more) — or processes a team's write-storm notes one observation at a time — and records the results in OBSERVATIONS.md (nuasb-carol-strengthsasmartbearFacilitates the second step of a proven ideal-customer (ICP) method: distilling raw company observations into the few deep-truth attributes that matter, then classifying each as a strength, a weakness, or deliberately both. Takes an observations list (O1, O2, … — file or pasted), proposes attributes one at a time with their supporting observations, kills generic ones with the Opposite Test ('we love our customers' dies), classifies each with a concrete rubric (a third of the market sees it that asb-interview-debriefasmartbearFacilitates the learning step of a proven customer-interview method — the recording half: turning raw material from ONE customer conversation (transcript, notes, memory dump) into a brief per-person debrief file, mapped against the numbered interview-question list (Q1, Q2, … with H-number tags). One concise answer per question actually asked, key phrases kept verbatim, unasked questions honestly skipped, a one-line commentary only where in-the-moment context helps later analysis, and an addenda asb-interview-goalsasmartbearFacilitates the first step of a proven customer-interview method: deciding exactly what you're trying to learn, written as numbered goal questions (G1, G2, …) that your hypotheses and interview questions will later be designed to answer. Interviews the user about their business — new idea or established company, B2B or B2C — then drafts a tailored goal-question list, critiques and revises it with them, and preserves the result in a GOALS.md file. Load when the user wants to interview customers, asb-interview-hypothesesasmartbearFacilitates the second step of a proven customer-interview method: recording the user's current best guesses — hypotheses — as numbered, falsifiable statements (H1, H2, …), each mapped to the goal questions it addresses, so interviews can confirm or contradict them instead of confirmation bias quietly filtering what's heard. Takes a GOALS.md goal-question list as input (file or pasted), elicits what the user believes goal by goal, sharpens vague beliefs into testable claims, prunes to hypothesesasb-interview-learningasmartbearFacilitates the learning step of a proven customer-interview method — the synthesis half: reads a directory of per-interview debrief files against the working HYPOTHESES.md and QUESTIONS.md and proposes evidence-cited updates ONE at a time — double down, tune numbers, mark disproved, park heard-once observations in a 'That's funny' watch section, add new hypotheses with new questions — applying each agreed change directly to the files with a change log, and ending with a stop-or-continue-or-re-aasb-interview-questionsasmartbearFacilitates the third step of a proven customer-interview method: translating hypotheses into open-ended, unbiased interview questions — each a miniature experiment designed to test one hypothesis without leading the witness. Two modes: given a single hypothesis, it grills the question into shape and outputs the final question in chat; given a HYPOTHESES.md file, it iterates the whole list, grouping related hypotheses, and maintains a QUESTIONS.md file (numbered Q1, Q2, … mapped to H-numbers) asasb-interview-reportasmartbearFacilitates the final step of a proven customer-interview method: distilling everything a round of interviews produced (GOALS.md, HYPOTHESES.md, QUESTIONS.md, and a directory of per-interview debriefs) into a single FINAL-REPORT.md the whole company can use. Top: a summary as brief as possible without losing salient information. Below: numbered findings (F1, F2, …) tagged validated / disproved / directional / watch / untested, every one citing debriefs and quoting customers verbatim, plus per-arasb-needs-stackasmartbearBuilds a customer Needs Stack — the ladder in which every need is a means to the end one level up (buy infrastructure → set up a WordPress site → have a personal website → get a book deal). Anchors the level the user's product satisfies, phrased as the customer's own goal in the customer's own words, then walks downward (the steps the product makes obsolete) and upward (what the customer really wants), crystallizing every level — specific wording, a true means-to-an-end link, named real-world ocasb-positioningasmartbearConverts marketing copy — headlines, ads, homepage claims, pitches, positioning statements — into value-first, vivid language: reframes save-time/save-money pitches as create-more-value pitches in the currency the customer measures value, fits each claim to the right level of the customer's needs (features at your level, the promise one level up, aspirations referenced but never promised, obviated steps bragged about), keeps every claim consistent with the declared pricing strategy (More for Morasb-problemasmartbearScores whether a business idea can become a viable business, walking the path from 'The Problem' to 'Viable Business Model': one specific target market is Fermi-scored on seven multiplying criteria (Plausible, Self-Aware, Lucrative, Liquid, Eager ×2, Enduring), every optimistic number is challenged unless evidence backs it, and when the verdict is bad, narrower niches are re-scored side by side. Load when the user asks whether their startup or product idea is viable, whether a market really exisasb-rude-qaasmartbearInterrogates a user's decision, plan, pitch, positioning, target market, pricing, or still-forming idea with sharp, unsparing questions — extended when useful to hostile or even unfair framings — until the plan sharpens into defensible decisions, or the user concludes it isn't a good idea after all. Acts as the constructive devil's advocate that the user cannot be for themselves. Load when the user wants to stress-test, attack, pressure-test, find holes in, or play devil's advocate against sometasb-votersasmartbearDistills a person's or company's strengths, experiences, and obsessions down to their one or two VOTERS — the decisive, idiosyncratically extreme traits that win the contest because customers who value them accept every other trade-off. Runs each candidate through a hard gauntlet: extremity earned through obsession (not mere competence), rarity among peers, decisiveness (name the weaknesses it overpowers), and reverberation (it must force decisions in product, pricing, and market). Caps the answasb-who-measmartbearInterrogates the user to discover who they actually are — what drives them, what drains them, and the natural strengths they can't see because they come so easily — using proven self-discovery prompts (even-as-a-kid, lost-in-the-work, pit-of-my-stomach dread), the anti-questions, and outside-in questions given as homework to people who know them (perfect scenario, personal hell, invisible strengths). Presses every self-flattering label into concrete episodes, welcomes socially unacceptable motiv
