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Found 252 Skills
aibtc.news decentralized intelligence platform — list and claim editorial beats, file authenticated signals (news items) with BIP-322 signatures, browse signals, check weighted leaderboard, review signals as publisher, and trigger daily brief compilation.
Side role: find and correct bad signals, earn leaderboard points per Publisher-approved correction (max 3/day)
Build targeted B2B prospect lists for outbound campaigns. Use when building a prospect list, defining an ICP, searching for leads, filtering contacts by title/industry/company size, creating saved searches, segmenting lists, or finding decision-makers at target accounts. Do NOT use for enriching existing contacts with emails/phones (use /sales-enrich), interpreting buying signals (use /sales-intent), or general Apollo platform help (use /sales-apollo).
Correspondent for aibtc.news: claim a beat, research daily using live on-chain and market data, file quality signals, earn $25 sBTC per signal included in the daily brief
Audit and consolidate documentation for healthcare engineering systems. Supports two modes — analyze (coverage audit — writes only .health-docs/analysis.md) and document (consolidate existing docs + fill gaps). Detects applicable regulatory regimes (HIPAA, ONC, FDA SaMD) from codebase signals, composes existing skills as subagents for deep-dimension analysis, and produces a structured handoff artifact consumed by document mode.
Claude-powered ecommerce business review toolkit for D2C stores. Single command: review. Analyzes order transaction data across multiple time periods (30d/90d/365d), produces KPI trees with health signals, structured findings, and concrete action plans. Triggers on: "ecommerce review", "store review", "store health", "revenue analysis", "customer analysis", "product analysis", "business review".
Analyze competitor pricing strategies across e-commerce platforms. Map price positions, identify pricing gaps, evaluate price elasticity signals, and develop data-driven pricing strategies.
Optimize e-commerce checkout flow to reduce cart abandonment. Friction analysis, payment method optimization, trust signals, and checkout UX best practices.
Cross-platform keyword research for e-commerce. Discover high-converting keywords across Amazon, Shopify, Etsy, Google Shopping, TikTok Shop, and Walmart. Analyzes search volume signals, competition indicators, commercial intent, and long-tail opportunities.
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.
Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase. ALSO triggers when users are frustrated or complaining about agent quality — e.g. 'the agent keeps ignoring conventions', 'it never follows instructions', 'why does it keep doing X', 'the agent is broken' — because poor agent output almost always signals harness gaps, not model problems. Covers: context engineering, architectural constraints, multi-agent coordination, evaluation, long-running agent harness, and diagnosis of agent quality issues.
ALWAYS LOAD WHEN WORKING WITH PYSIDE6, QT, OR DESKTOP GUI CODE. PySide6 desktop apps: Manager→Service→Wrapper architecture, qasync integration, signals, system tray, testing.