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Found 313 Skills
Trades Operations vertical skill for the Customware SPA. Defines the section layout, config schema, and mapping rules for transforming a DOMAIN.md into a trades operations tool. Use this skill when the Builder Agent classifies a customer's domain as construction, field service, or trades project tracking. Trigger signals: estimates, job specs, scope items, square footage, field scheduling, subtrade payments, trade invoices, customer invoices, project stages, crew tracking.
Early rug-risk triage for token launches and small DeFi deployments from public data—liquidity lock and pool events, dev and sniper wallet clustering, contract authority and transfer-risk checks, coordinated exits, and evidence-backed risk scores. Use when the user asks for rug pull detection, pump-and-dump signals, launch red flags, LP removal forensics, or cross-chain profit exit tracing—not for front-running trades, harassing teams, or certifying scams without on-chain proof.
Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.
Invoke for ANY personal Bible devotion or scripture meditation request. This is a daily quiet time (QT) guide — use it whenever the user wants spiritual reflection on a Bible passage, NOT academic analysis. Common signals: asking for today's reading, wanting guided devotion, seeking stillness with scripture, mentioning a personal reading plan, or using terms like 靈修、靈糧、默想、嗎哪、 QT、quiet time、devotional. Even short or casual requests like just saying "QT" or "今天讀什麼" should trigger this skill. Delivers a first-century Jewish perspective devotional for mainstream Christians. Depends on bible-buddy skill. EXCLUDE: theological scholarship, academic exegesis, verse-by-verse analysis, sermon/teaching prep, translation comparison, comparative religion essays, or original-language research tasks — those belong to bible-buddy or bible-fact-check.
Beat Editor for aibtc.news: review and approve/reject signals on assigned beat, file editorial reviews, manage beat cap via displacement, earn per-review sats
Signal-gated HODLMM yield allocator. Reads aibtc.news signals and Quantum Readiness Index alongside live HODLMM APR to compute a risk-adjusted yield score, then executes a Bitflow swap to prepare wallet for HODLMM deposit when conditions align.
Ultra-compressed PR review comments. One issue per line: Location • Problem • Fix. Remove preambles, prioritize signals. Supports Japanese. Trigger with "PR review please", "code review", "/review", "/genshijin-review". Candidate for automatic activation during pull request reviews.
Identify early warning signals of potential PR crises through pattern recognition, escalation triggers, and risk assessment
Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet + Cost-Aware TP + Dev/Bundler Safety + Session Risk Control. Triggers when the user mentions smart money strategy, signal strategy, copy trading, whale tracking, KOL copy trading, on-chain signal trading, co-riding addresses, take profit / stop loss, risk preference, or wants to automatically buy/sell based on smart money signals. Runtime file: bot.py (includes Web Dashboard http://localhost:3248) Config file: config.py (hot-reload)
Triage mixed game demo and playtest feedback into a prioritized fix brief, weighted evidence summary, and next artifact recommendation. Use when a team has playtest notes, Steam Playtest responses, creator or streamer demo reactions, survey comments, wishlist/context signals, bug lists, or performance findings and needs to decide what to fix first before the next build, festival, or launch beat, even if they only say "sort our playtest feedback", "what should we fix before Next Fest", "players are confused", "streamers bounced off the demo", or "turn these demo notes into priorities".
Produces a private strategic preparation document for the user before a meeting that matters. Captures stakes, stakeholder positions and reads, ranked desired outcomes, key messages, anticipated questions with prepared responses, risks and tensions, specific asks, and success signals. Distinct from meeting-agenda because this artifact is not shared with attendees; it is the user's personal tactical prep for meetings where positioning matters.
Research Google Trends search-intent signals for topic discovery, keyword momentum, regional interest, and rising queries without treating search trends as the same thing as platform content heat or marketplace demand.