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Found 74 Skills
Calculate network centrality metrics to identify important nodes in graphs. Use this skill when the user needs to find key influencers, critical infrastructure nodes, or central actors in a network — even if they say 'who is most important in this network', 'key nodes', or 'network influence measurement'.
Apply Actor-Network Theory (Latour, Callon) to trace how human and non-human actors (actants) form networks through translation processes. Use this skill when the user needs to map sociotechnical assemblages, analyze how innovations stabilize or fail through network-building, trace the four moments of translation (problematization, interessement, enrollment, mobilization), or when they ask 'how did this technology become accepted', 'who and what holds this network together', or 'why did this innovation fail to gain traction'.
Motoko language pitfalls and modern syntax for the Internet Computer. Covers persistent actor requirements, stable types, mo:core standard library, type system rules, and common compilation errors. Use when writing Motoko canister code, fixing Motoko compiler errors, or generating Motoko actors. Do NOT use for deployment, icp.yaml config, or CLI commands — use icp-cli instead. Do NOT use for upgrade persistence patterns — use stable-memory instead.
Diagnose why a product metric changed (dropped, spiked, or plateaued) by orchestrating breakdowns, actors, paths, lifecycle, retention, and annotations queries. Use when the user reports an anomaly, asks "why did X change?", or needs root-cause analysis for a trend, funnel, retention, stickiness, or lifecycle metric.
SOLID principles for Swift 6 and SwiftUI (iOS 26+). Files < 150 lines, protocols separated, @Observable, actors, Preview-driven development. Features Modular MANDATORY.
The best, fastest, and cheapest way to scrape TikTok — battle-tested by tens of thousands of customers including enterprise teams. Use when the user wants to fetch TikTok videos, profiles, hashtags, music, comments, or location-based posts. Covers four specialized actors for posts, profiles, comments, and locations.
Mitigation patterns for privileged-access and governance-adjacent DeFi failures, anchored on the public Drift Protocol incident analysis in Chainalysis’s blog—social engineering, Solana durable nonces, oracle and collateral abuse, multisig governance, and operational monitoring. Use when hardening signer processes, reviewing admin surfaces, or teaching post-incident lessons—not for designing exploits or attributing actors without evidence.
Design, implement, review, and migrate XState v5 state machines and statecharts in TypeScript using modern v5 patterns. Use this whenever the user mentions XState, actors, state machines, statecharts, guards, transitions, workflows, or Stately, or is modeling non-trivial UI/app/process logic in a codebase that uses XState. Prefer a short machine sketch before code when requirements are fuzzy. If the problem is too simple for a state machine, say so and recommend @xstate/store instead.
AI-simulated event storming workshop with multi-persona support. Use when discovering domain events, commands, actors, and bounded contexts. Supports three modes - full-simulation (5 persona agents debate), quick (single-pass analysis), and guided (interactive with user). Orchestrates persona agents and synthesizes results.
Use when analyzing revolutionary tactics that create or exploit societal disorder to seize power. Draws on Alinsky, Lenin, Mao, and historical case studies to explain how out-of-power actors disorganize, agitate, and consolidate during instability.
Use when PRFAQ, BRD, PRD, product brief, workflow, or equivalent initiative artifacts exist and you need to review them for planning gaps, unclear scope, weak priorities, missing actors, and backlog-blocking ambiguity before decomposing work. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
Collaborative domain modeling through pictographic stories. Use when gathering requirements, understanding business workflows, onboarding team members, or preparing for event storming. Follows Stefan Hofer & Henning Schwentner's methodology with actors, work objects, and activities.