Wallet tracking and monitoring on Binance Web3. Monitor token/trade activity for private groups or public Smart Money/KOL data. Four domains: (A) Discovery — consensus, pioneer, leaderboard diff, token buyer lookup, time-window summaries, similar wallets; (B) Evaluation — token risk (tokenRiskLevel ≥ 3), group rhythm, follow list assessment, token heat; (C) Replay — 4h summary, Accumulation/Distribution, sector rotation, anomaly orders, round-trip, first-mover/leader-follower, wake-up, bot-like; (D) Management — group create/rename, batch import, label update, link, follow list; (E) Real-time — WebSocket push for Smart Money, KOL, wallet-level, and address-level trade events. Trigger on: wallet tracker, monitoring, consensus, pioneer, accumulation, Distribution, Sector Rotation, Anomaly Large Order, round-trip, first-mover, wake-up, bot-like, token risk, token heat, group profile, similar wallets, group management, address import, follow list, real-time push, WebSocket — even without "tracker" explicitly.

On-chain trading signals and custom signal strategy management on Binance Web3. Three signal sources: smart money (wallet buy/sell events), platform strategies, and user-created strategies (meme / fomo). Four scenario domains: (A) Reports — daily report, monthly backtest review (BSC vs Solana, protocol comparison); (B) Signal discovery — feed, sort by maxGain or multi-strategy hit, token buyability ("can I still buy"); (C) Analysis — backtest interpretation, strategy comparison by golden/silver/bronze rate, indicator impact (KOL holdings, protocol, liquidity); (D) Management — create/update/delete strategies, enable/disable strategies, trigger/schedule backtests, query credits, auto-scan, copy strategies from the strategy hall. Trigger whenever the user mentions trading signals, smart money, custom signal strategies, backtesting, strategy management, daily or monthly reports, token buyability, or indicator impact analysis — even if they don't say "signal" or "strategy".

Development workflows for the playwright-cli repository. Use when the user asks about rolling dependencies, releasing, or other repo maintenance tasks.

Visualizes Azure infrastructure from ARM templates, Azure CLI, or descriptions. Use when user has Azure resources to diagram.

Visualizes AWS infrastructure from CLI output, CloudFormation, or descriptions. Use when user has AWS resources to diagram.

Generates architecture diagrams from code, infrastructure, or descriptions. Use when user asks to visualize, diagram, or document system architecture.

Generates architecture diagrams from Terraform code. Use when user has .tf files or asks to visualize Terraform infrastructure.

Use to design, understand, tune, or audit a non-trivial model workflow, including framework-undecided designs, partial implementations, and production reviews: model-node responsibilities, input/output completeness, data-flow correctness or redundancy, model-versus-Host/workflow ownership, topology, evidence, lifecycle, concurrency, or observed execution effects. The user need not say Prompt review or name Agently. Use agently-request for one request family and agently-triggerflow for already-decided executable orchestration details.

Create source-grounded paid-ad campaign concepts, messaging, copy, creative briefs, and production plans from a validated brand profile, campaign objective, platform requirements, and optional audit evidence. Triggers on: campaign brief, campaign concepts, create a campaign, ad concepts, ad copy, ad messaging, creative brief, headlines, descriptions.

Query the Pulumi Context API, a graph query interface over an organization's infrastructure in Pulumi Cloud. Use when a question is about relationships or reachability across resources and stacks: the impact of a change ("what breaks if I change this?", blast radius), what depends on a resource or a stack's outputs, which provider instances manage which resources and at what versions, orphaned or unreferenced resources, or references that cross stacks and cloud accounts, including resources Pulumi doesn't manage. Don't load it for finding a single resource by name, type, or property (Resource Search covers that), or for update history and failure debugging (use skill `pulumi-debug-failed-operation`).

cli reference to help with the development of constructor fabric gears framework. It helps with the development of the framework from its initialization, adding/removing gears, modifying configuration files, build and/or run project, lint the project and managing applications through its manifest. Always load this skill whenever you detect Gears.toml or you locate a reference to gears, cargo-gears, gears-toolkit, gears, plugins or packages that include the prefix cf- in its name.

Invoke when user asks to do something with Cypilot, or wants to analyze/validate artifacts, or create/generate/implement anything using Cypilot workflows, or plan phased execution. Core capabilities: workflow routing (plan/analyze/generate/auto-config); deterministic validation (structure, cross-refs, traceability, TOC); code↔artifact traceability with @cpt-* markers; spec coverage measurement; ID search/navigation; init/bootstrap; adapter + registry discovery; auto-configuration of brownfield projects (scan conventions, generate rules); kit management (install/update with file-level diff); TOC generation; agent integrations (Windsurf, Cursor, Claude, Copilot, OpenAI).

Use this skill whenever delegating work to subagents — whether a single Task call or a full team via TeamCreate. Guides delegation, task decomposition, agent selection, and coordination. Covers when to spawn architect (design decisions, trade-offs), researcher (explorations, technical investigation), developer (FEATURE specs and code), tech-writer (documentation), qa (post-implementation validation), and architecture-critic (stress-testing architect output). Trigger on any subagent spawn, team creation, multi-agent coordination, or parallel work request.

Review Rust changes against idiomatic Rust guidelines and ToolKit framework rules. PR mode posts inline comments on GitHub; local mode reviews a branch against main and writes a markdown report.

Use when reviewing the architecture & structure of Skylark code — a PR diff, the whole codebase, or one module. Hunts duplication, hard-to-test code, cleverness, deep nesting, files over 1k lines, weak seams (loose coupling + acyclic deps), and chances to do the same work in far fewer lines. Ambitious by design — for a crew with a high craft bar.

Ambient Memori long-term memory for Claude Code via local Bash. MUST TRIGGER on essentially every non-trivial user turn: run recall before drafting any substantive response, whether or not the user mentioned memory, a prior session, or past work. The default is to check memory first; do not wait to be asked. Always fire before external lookups (WebSearch/WebFetch) and before answering any question about preferences, prior decisions, constraints, project history, status, past work, or any non-trivial coding/research task. Skip only for trivial acknowledgements/closings, purely self-contained turns where prior context cannot possibly help, or when the user explicitly opts out. Use Advanced Augmentation after drafting the final response for every non-trivial turn, as the last memory step. Use recall.summary only for broad session summaries/orientation, compaction after context loss, feedback for memory quality, quota for limits, and signup only when explicitly requested.

Use when an MCP-connected agent should use Memori tools for targeted recall, summaries, post-compaction briefs, durable memory augmentation, quota checks, signup, feedback, preferences, prior context, or cross-session continuity.

Agent-native memory for OpenClaw that structures memory from agent trace, execution history, decisions, tool calls, and conversations into durable long-term memory primitives.

Build WPF applications with MahApps.Metro v2.4.x, MahApps.Metro.IconPacks, CommunityToolkit.Mvvm. Covers MetroWindow, theming, controls, dialogs (including MVVM DialogCoordinator), styles, and icon packs. Scoped to the AIPlanningPilot.Dashboard project.

Run one-shot multi-AI fleet dispatch with quintet — fan a single prompt to several coding-agent CLIs (claude/codex/gemini/copilot/qwen) in parallel, run a two-round cross-model debate, or get a multi-model code review, with circuit-breaker and fallback reliability. Use proactively when fanning a prompt out to several models, when running an AI debate, when seeking consensus, or for reviewing a diff across models. Trigger on "quintet fleet", "AI debate", "run a debate between models", "consult the models", "get consensus from the models", "multi-model review", "what do all the models think". Not for parallel file-editing work — use quintet-team-runtime.