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Found 384 Skills
Analyzes events through futures lens using scenario planning, trend analysis, weak signals, drivers of change, and forecasting methods (exploratory, normative, backcasting). Provides insights on possible futures, emerging trends, disruptive forces, strategic foresight, and alternative scenarios. Use when: Strategic planning, emerging trends, technology assessment, long-term planning, uncertainty navigation. Evaluates: Trends, weak signals, drivers of change, plausible futures, strategic options, uncertainty ranges.
Analyze insider trading patterns to surface companies with significant, meaningful insider buying activity. Use when the user asks to review insider trading activity, find stocks insiders are buying, analyze SEC Form 4 filings, detect insider buying clusters, assess management confidence through insider purchases, or identify bullish insider signals in a sector or industry.
Generate audio tones, noise, DTMF signals, and simple sound effects programmatically. Export to WAV or MP3 format.
Orchestrate jobs via depth propagation, parallel decomposition, relations, and control signals
When the user wants to layer sales onto a PLG motion, build PQL scoring, design sales handoffs from product usage signals, or plan a hybrid PLG + sales model. Also use when the user says "product-led sales," "PQL," "PQA," "when to add sales to PLG," or "enterprise PLG." For broader PLG strategy, see plg-strategy. For expansion revenue, see expansion-revenue.
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`
Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items. Use when processing interview recordings or transcripts, synthesizing discovery interviews, or creating interview summaries.
What is smart money buying or selling right now? Net accumulation signals, live DEX trades, and current SM portfolios.
Symbolicate the .NET runtime frames in an Android tombstone file. Extracts BuildIds and PC offsets from the native backtrace, downloads debug symbols from the Microsoft symbol server, and runs llvm-symbolizer to produce function names with source file and line numbers. USE FOR triaging a .NET MAUI or Mono Android app crash from a tombstone, resolving native backtrace frames in libmonosgen-2.0.so or libcoreclr.so to .NET runtime source code, or investigating SIGABRT, SIGSEGV, or other native signals originating from the .NET runtime on Android. DO NOT USE FOR pure Java/Kotlin crashes, managed .NET exceptions that are already captured in logcat, or iOS crash logs. INVOKES Symbolicate-Tombstone.ps1 script, llvm-symbolizer, Microsoft symbol server.
Full token research workflow using Messari x402 API. Fetches asset fundamentals, price history, sentiment signals, and news, then synthesizes a research brief via Messari AI. Total cost ~$1.00–$1.50 USDC per run.
Research Solana/crypto startup opportunities using builder project history, crypto archives, investor theses, and market signals. Answers questions conversationally by default; runs the full 8-step deep research workflow on explicit opt-in ("vet this idea", "deep dive").
Side role: find and correct bad signals, earn leaderboard points per Publisher-approved correction (max 3/day)