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Found 378 Skills
Expert signal-based selling strategist for B2B outbound teams. Use when the user asks about buying signals, intent data, signal scoring, signal-based selling, website visitor tracking, job change signals, hiring signals, funding signals, competitor signals, tech stack changes, content engagement signals, multi-signal stacking, RB2B setup, Trigify setup, Common Room, Bombora, Koala, Warmly, 6sense, signal-to-action playbooks, or building signal-driven outbound campaigns. Also triggers on "buying signals", "intent data", "signal scoring", "signal-based", "website visitors", "job change", "hiring signal", "funding signal", "competitor signal", "tech change", "content engagement", "RB2B", "Trigify", "Common Room", "Bombora", "intent signals", "warm outbound", "signal stacking", "visitor tracking", "signal tools", "GTM plays". Do NOT use for general list building without signal context (use list-building skill) or email writing (use cold-email skill).
Expert GDScript best practices including static typing (var x: int, func returns void), signal architecture (signal up call down), unique node access (%NodeName, @onready), script structure (extends, class_name, signals, exports, methods), and performance patterns (dict.get with defaults, avoid get_node in loops). Use for code review, refactoring, or establishing project standards. Trigger keywords: static_typing, signal_architecture, unique_nodes, @onready, class_name, signal_up_call_down, gdscript_style_guide.
Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).
Detects market top probability using O'Neil Distribution Days, Minervini Leading Stock Deterioration, and Monty Defensive Sector Rotation. Generates a 0-100 composite score with risk zone classification. Use when user asks about market top risk, distribution days, defensive rotation, leadership breakdown, or whether to reduce equity exposure. Focuses on 2-8 week tactical timing signals for 10-20% corrections.
Use when the user needs to inspect Google Cloud (GCP) logs, metrics, and monitoring signals via gcloud for incident triage, debugging, or operational analysis. Supports Cloud Logging queries, Cloud Monitoring time-series reads, and environment checks for a target project.
Knowledge Blacksmith: Used to non-destructively merge and append new practical experience (new pitfalls encountered, new boundaries discovered, better solutions) into existing knowledge cards. The core principle is "extremely conservative minimally invasive surgery" - strictly prohibited from deleting or over-simplifying high-value experience (pain points, mistake records) in the original assets, and only upgrade old assets through Append and structured Merge. Trigger signals: `/asset-evolve`, `/asset-update`
Shell scripting and terminal integration patterns for building tools that integrate with Zsh, Bash, and Fish. Covers completion systems (compdef/compadd, complete/compgen, fish complete), ZLE widgets, hooks (precmd/preexec/chpwd, PROMPT_COMMAND), readline, bindkey, parameter expansion, ZDOTDIR loading order, event systems, abbreviations, POSIX shell scripting, terminal control codes (ANSI/CSI escape sequences), tput, stty, signal handling, process management (job control, traps), and shell plugin distribution patterns. Use when building shell plugins, writing completion scripts, implementing terminal UI with escape sequences, managing dotfiles, creating installation scripts, handling signals and process management, or integrating native binaries with shell wrappers.
Documentation and commit specialist. Runs after ralph subagents complete a Priority group. Reviews RALPH_DONE signals, updates progress.md and PRD task checkboxes, and makes one atomic git commit per completed user story. Also writes an implementation summary when the full PRD is done. Use after ralph subagents finish implementing — never during active development.
Systematically discover and define your Ideal Customer Profile with firmographic criteria, buyer personas, scoring matrices, anti-ICP signals, and validation methodology.
Real-time investment context from Primary Logic — LLM-ranked relevance and impact signals from podcasts, articles, X/Twitter, Kalshi, Polymarket, earnings calls, filings, and other monitored sources across public and private companies.
Use this skill whenever the user wants to find trading opportunities, detect arbitrage, analyze a market, perform edge detection, find mispricing, do probability analysis, evaluate orderbook depth, find momentum signals, or assess Polymarket market quality. Triggers: "find opportunities", "detect arbitrage", "analyze market", "edge detection", "mispricing", "probability analysis", "orderbook analysis", "momentum scanner", "market inefficiency", "price gap", "volume surge", "trading edge", "market analysis".
Analyse Datadog observability data including metrics, logs, monitors, incidents, SLOs, APM traces, RUM, security signals, and more. Use when asked to investigate infrastructure health, query metrics, search logs, check monitors, diagnose errors, or analyse any Datadog data.