Results for “sign”

Generates a three-panel analysis for any ticker following Duan Yongping's seller-only options strategy: Sell Put at a willing-buy price, Covered Call for yield, and a VIX-based panic-buy signal.

Conversion Rate Optimization auditing for landing pages, signup flows, checkout funnels, forms, and CTAs. Identifies friction points, runs heuristic evaluations, produces prioritized recommendations using ICE/PIE frameworks. Use when the user asks about conversion optimization, funnel analysis, landing page audits, form optimization, CTA testing, or checkout improvement.

Query Codecov for flaky-test signal, failure history, and coverage data via the codecov-api wrapper. Use when asked about flaky tests, intermittent test failures, why a test is failing, coverage on a PR/file/branch, or whenever browser access to Codecov is blocked by the login wall.

Detect Cobalt Strike beacon network activity using TLS certificate signatures, JA3/JA3S/JARM fingerprints, HTTP C2 profile matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.

Detect compromised O365 and Google Workspace email accounts by analyzing inbox rule creation, suspicious sign-in locations, mail forwarding rules, and unusual API access patterns via Microsoft Graph and audit logs.

Detect Golden Ticket attacks in Active Directory by analyzing Kerberos TGT anomalies including mismatched encryption types, impossible ticket lifetimes, non-existent accounts, and forged PAC signatures in domain controller event logs.

Audits and fixes technical SEO, on-page metadata, structured data, Core Web Vitals, llms.txt, and AI-search optimization for ChatGPT, Perplexity, and AI Overviews, including E-E-A-T signals and programmatic SEO.

Daily customer health scoring across the active book of business. Pulls usage signals from PostHog and subscription state from Stripe, scores each active customer per the brand's customer-success playbook, updates the Notion customer DB, and Slack-alerts on at-risk transitions. Runs daily on cron schedule.

BISON v2.0 — Conviction Holder (Hardened). Top 10 assets by volume. All signals are score contributors — no hard gates. Scanner enters via create_position internally (Wolverine pattern). RatchetStop exits. Thesis exit REMOVED. v2.0: every hard gate converted to score contributor, ensureExecutionAsTaker=false, conviction-scaled margin 25-37%.

You are an expert in Svix, the enterprise webhook delivery platform. You help developers send reliable webhooks to customers with automatic retries, signature verification, delivery monitoring, endpoint management, and event type filtering — replacing custom webhook infrastructure with a purpose-built service used by companies like Clerk, Resend, and Liveblocks.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.

AI-native lead intelligence and outreach pipeline. Replaces Apollo, Clay, and ZoomInfo with agent-powered signal scoring, mutual ranking, warm path discovery, source-derived voice modeling, and channel-specific outreach across email, LinkedIn, and X. Use when the user wants to find, qualify, and reach high-value contacts.

Drafts a Receipt of Franchise Disclosure Document proving FTC Franchise Rule compliance under 16 C.F.R. § 436. Produces an execution-ready acknowledgment with franchisee identification, delivery date, FDD version, exhibit inventory, and dual signature blocks. Use when creating FDD receipts, franchise disclosure acknowledgments, or Item 19 FPR attestations.

The "Commerce" MCP tiles — Documenso e-signatures is the one MCP-drivable tile; the rest (cashback quests, coupons, gift cards, fraud queue, merch) are admin-portal pages, with the QuestX rewards engine reachable via the game-ops `quests` MCP. Use for contracts and commerce-program admin.

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Detects and fixes patterns including: inflated symbolism, promotional language, superficial analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Detects and fixes patterns including: inflated symbolism, promotional language, superficial analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Use to measure customer effort from behavioural signals instead of CES surveys, and to audit whether a composite effort score is honest. Trigger for "customer effort score", "behavioural CES", effort without survey, repeat contacts and channel switches, transfers and reopens, or "our CES doesn't match operational data".

Use to map support contacts onto the product lifecycle, interpret contact as a lifecycle signal, and avoid journey-map theatre. Trigger for "customer journey map support", "contact by lifecycle stage", onboarding support drivers, churn and support overlap, stage-specific contact reasons, or when journey mapping is worth doing.

Models cascading what-if scenarios across all business functions to prepare for compound adversity, using a structured six-step framework that maps variables, domain impacts, cascade effects, severity levels, early warning signals, and hedging strategies.

Provides a complete workflow for implementing verified email retrieval on Android Credential Manager API. Use this skill to integrate a secure, OTP-less email verification flow into an Android app. This skill solves the problem of high-friction sign-up processes by leveraging cryptographically verified credentials from trusted providers like Google.

Search Fab's public free catalog (including Quixel Megascans) and directly import eligible assets without adding them to the account library, or discover/import the signed-in Epic account's owned Fab library. Use for free Fab/Quixel searches, owned-library questions, compatibility checks, and Fab imports. No purchasing or entitlement claiming.

Builds distinctive, production-grade UI by committing to one of 12 named visual directions, implementing a real typography scale, spacing system, and one signature flourish, then gating the result through a measurable anti-slop checklist and contrast/touch-target verification.

A protocol risk analyst and yield reality checker for decentralized finance. Evaluates protocol safety before deposit. Calculates real yield after gas, emissions, impermanent loss, and token depreciation. Identifies common rug-risk patterns in tokenomics, liquidity, and governance. Advisory only—no wallet access, no private key handling, no transaction signing, no on-chain execution.

Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.

Implements Children's Online Privacy Protection Act (COPPA) compliance under 16 CFR Part 312. Covers verifiable parental consent methods including signed forms, credit card verification, government ID, knowledge-based authentication, and video call. Includes FTC safe harbor programs and enforcement actions. Keywords: COPPA, FTC, children, parental consent, safe harbor, verifiable consent.

Multi-signal trend forecasting for autonomous agents. Combines prediction market odds, Twitter/X social sentiment, news velocity, and stock market data into a unified trend analysis with confidence scoring. Powered by AIsa — one API key, five data streams. Use when: the user needs X/Twitter research, monitoring, posting, or engagement workflows.

Comprehensive results analysis for empirical research: generate publication-quality descriptive statistics and balance tables, interpret regression coefficients with economic magnitude and effect sizes, assess identification assumption diagnostics, and produce structured results memos. Use when asked to create summary statistics, Table 1, balance tests, interpret results, assess economic significance, or write results narratives.

Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.

Acorn CLI commands for WordPress automation — lando acorn make:command, artisan-style commands, Command::class, $signature, $description, handle() method, command arguments and options, output formatting, dependency injection in commands, calling other commands, AppServiceProvider registration, wp acorn schedule:run, scheduled commands, data import scripts, maintenance commands, theme automation tasks, lando acorn list

Recommends confirmatory testing with corticotropin stimulation test in patients presenting with clinical symptoms or signs suggesting PAI (e.g., fatigue, hypotension, hyponatremia, hyperpigmentation) when the patient's condition permits safe testing. Use when a clinician identifies suggestive features and circumstances allow outpatient stimulation testing without imminent need for emergency glucocorticoids.

Query the openFDA API for drugs, medical devices, adverse event reports, recalls, regulatory submissions (510k, PMA), and substance identification (UNII). Use when searching FDA safety data, pharmacovigilance and adverse-event signals, device clearances, drug labels, or recall records for regulatory data analysis and safety research. Part of the AlterLab Academic Skills suite.

Detects all languages used on a webpage — both declared (html@lang, hreflang, nested lang=, meta content-language) and actually present in the body text using Google CLD3 WASM. Reconciles the two signal sets and flags mismatches for i18n audits, hreflang validation, and multilingual content verification.

Analyzes DeFi protocol risk before deposit, decomposes headline APY into sustainable yield, emissions, and drag factors, and flags common rug-risk patterns in tokenomics, liquidity, and governance. Advisory only—no wallet access, no private key handling, no transaction signing, no on-chain execution.

Document architectural decisions in standardized ADR format. This skill should be used when making significant technical decisions, choosing between approaches, establishing patterns, or when other skills (create-plan, implement-plan, brainstorm) identify decisions that need documentation. Triggers on "document decision", "create ADR", "architectural decision", or automatically when invoked by other skills during planning and implementation.

One-time setup that makes fb.ai cold email actually sendable — add a sending domain, get the DNS records published, verify, add a sender signature, and get it confirmed. Has two unavoidable human waits (DNS, Postmark email); the skill stops and hands back at each. Run once per brand, then re-run to resume.

Analyze betting market sentiment including line movement, sharp vs public money, steam moves, reverse line movement, and market signals. Use when reading line movement to determine where the smart money is going. Also trigger for 'line movement', 'sharp money', 'public money', 'steam move', 'reverse line movement', 'RLM', 'where the money is', or 'wiseguy action'.