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Found 137 Skills
This skill should be used when the user asks for markup detection, detect manipulation, image tampering, deepfake detection, document integrity, hidden markup, metadata forensics, EXIF analysis, content authenticity, synthetic media, altered image, C2PA, or provenance verification across documents, images, and video. Guides workflow-level assessment of visual tampering indicators (splicing, cloning, inconsistent lighting or shadows, compression artifacts), metadata and provenance checks (EXIF, hashes, source chain), document revision and hidden markup (tracked changes, comments, invisible text), synthetic-media and deepfake red flags, watermarking and content-credentials concepts, and structured reporting with confidence levels and explicit limitations—not training detection models (ml-research-engineer-safeguards), cryptographic watermark design (cryptographer-specialist), full digital forensics lab attribution or legal conclusions, or blockchain-only tracing unless the user scopes on-chain context.
Analyzes structured and unstructured threat intelligence feeds to extract actionable indicators, adversary tactics, and campaign context. Use when ingesting commercial or open-source CTI feeds, evaluating feed quality, normalizing data into STIX 2.1 format, or enriching existing IOCs with campaign attribution. Activates for requests involving ThreatConnect, Recorded Future, Mandiant Advantage, MISP, AlienVault OTX, or automated feed aggregation pipelines.
Complete skill for the Analyzify Shopify analytics and tracking app. Covers all Analyzify MCP features and workflows. Trigger when the user wants to: check store info, view workspace details, query Google Analytics 4 data, run GA4 reports, check GA4 traffic, query Google Search Console data, view search performance, top queries, query Google Ads campaigns and performance, view ad spend and ROAS, access Shopify store data via Admin API, list products, collections, orders, query historical analytics reports, campaign attribution, traffic trends, check connected accounts, view API key capabilities, or any Analyzify-related task. Covers questions like: "what is my store", "what is my space ID", "show my GA4 traffic", "top search queries this week", "how are my Google Ads performing", "list my products", "show campaign attribution", "compare organic vs paid traffic", "what accounts are connected", "what plan am I on", "show my store dashboard", "daily sessions this month". All operations use MCP tools: execute_graphql, execute_report_graphql, introspect_schema, introspect_report_schema.
Complete Polymarket playbook covering research and trading on the world's largest prediction market. Use this for ANY Polymarket task. Research triggers: finding events ("what's happening in politics", "show me election odds", "NBA finals odds", "BTC to 200k markets", "IPL / FIFA / UFC / F1 betting markets"), listing markets with filters, searching by keyword, reading orderbooks, mid prices, spreads, last trade prices, recent trades, open interest, volume, liquidity, and any user's positions/portfolio/PnL by address. Trading triggers: place a bet on YES or NO, buy/sell outcomes, limit orders (GTC/GTD), market orders (FOK/FAK), batch orders, cancel one/many/all orders, check and set on-chain USDC.e and CTF approvals, neg-risk (multi-outcome) markets, tick size handling (0.01/0.001/0.0001), and builder-code attribution. Covers all routes under /agent/polymarket/* (events, markets, search, orderbook, price, prices, spread, last-trade-price, trades, market/:id/open-interest|volume|liquidity|trades, user/:address/positions|trades|portfolio|pnl, order, order/market, orders, order/:id, order/:id/scoring, approvals, builder/*). Use when the user mentions Polymarket, prediction markets, event betting, binary outcomes, probability markets, YES/NO tokens, conditional tokens, or politics/sports/crypto/culture odds. Prerequisite: openfin-setup for trading.
Adversarial due-diligence on a benchmark you envy — a founder, KOL, company, or product whose claimed success you suspect is inflated. Inline four-phase orchestration — fan-out collection, adversarial verification grading every claim L1-L4 to split marketing bubble from real signal, attribution weighting (product vs timing vs IP vs luck, what's replicable), then mapping the validated playbook onto the user's own resources. Use whenever the user wants to 尽调/对标/拆解 a competitor or role-model, 抄/偷师 someone's playbook, suspects 水分/泡沫 in their claims (Product Hunt
When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program — including reward structure, mechanics, fraud prevention, deep link setup, and viral coefficient measurement. Use when the user mentions "referral program", "invite a friend", "refer and earn", "share to earn", "viral loop", "viral coefficient", "K-factor", "double-sided rewards", "give X get X", "referral rewards", "invite link", "share sheet", "Branch referrals", "in-app invites", or "how to make my app go viral". For deep link infrastructure that referrals depend on, see attribution-setup. For organic content-driven virality (UGC, creator), see creator-ugc-marketing.
Retargeting and remarketing strategy — website visitor retargeting, cart abandonment recovery, dynamic product ads, cross-channel retargeting, audience segmentation, frequency capping, attribution, pixel setup, in-app retargeting. Use when website visitors leave without converting, cart abandonment rates are too high, retargeting ads aren't profitable, you're unsure which retargeting platform to use, or past visitors never come back. Do NOT use for AdRoll-specific config (use /sales-adroll), Remerge-specific config (use /sales-remerge), email marketing (use /sales-email-marketing), B2B account-based advertising (use /sales-b2b-advertising), or general paid ads strategy (use /paid-ads).
Intelligent loading performance analysis with automated workflows for TTFB investigation (DNS/connection/server breakdown), render-blocking detection, script performance deep dive (first vs third-party attribution), font optimization, and resource hints validation. Includes decision trees that automatically analyze TTFB sub-parts when slow, detect script loading anti-patterns (async/defer/preload conflicts), identify render-blocking resources, and validate resource hints usage. Features workflows for complete loading audit (6 phases), backend performance investigation, and priority optimization. Cross-skill integration with Core Web Vitals (LCP resource loading), Interaction (script execution blocking), and Media (lazy loading strategy). Use when the user asks about TTFB, FCP, render-blocking, slow loading, font performance, script optimization, or resource hints. Compatible with Chrome DevTools MCP.
Parse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers.
Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss. Use when conversions are under-reported, when platform-reported purchases do not match real orders, when asked about Conversions API / Events API / offline conversions / CAPI, click id passthrough (fbclid, ttclid, gclid, msclkid), or when ad optimization has degraded after tracking changes.
Trace cryptocurrency addresses and transactions on public blockchains. Use when following a Bitcoin or Ethereum wallet, investigating crypto payments, clustering addresses, identifying exchanges or mixers, or attributing on-chain activity.
Creates Friday OpenEd Weekly digest newsletters consolidating the week's content. This skill should be used when creating the weekly newsletter, Friday digest, or compiling weekly content. Not for daily newsletters.