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

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.

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.

Engineering discipline for multi-agent work — lock intent before building, write zero-context plans, and prove claims with fresh evidence before declaring done. Trigger when starting a multi-step task, writing an implementation plan, or about to claim work is complete/fixed/passing (especially after a quintet fleet/team run, where provider output may be hallucinated). Not for trivial single-action edits.

Orchestrate multiple coding-agent CLIs (codex/gemini/copilot/claude) headlessly — each in its own git worktree, driven non-interactively, then merged. Use when fanning real implementation or review work out to several model CLIs in parallel without a tmux REPL, when you need worktree isolation so agents don't collide, or when distributing token cost onto external providers. Trigger on "run codex/gemini/copilot in parallel", "headless multi-agent", "git worktree per agent", "non-interactive CLI agents", "offload work to other model CLIs", "parallel build with isolated worktrees". For interactive tmux worker teams use quintet-team-runtime instead; for one-shot opinions use quintet-fleet-dispatch.

Orchestrate multiple coding-agent CLIs (Claude Code, OpenAI Codex, Google Gemini, GitHub Copilot, Qwen Code) as one fleet through the quintet entry point. Use proactively when running several of these AI CLIs at once, when spinning up a multi-agent CLI worker team in tmux, for fanning a single prompt out to many models, or when debating or reviewing across models. Trigger on "quintet", "run codex and gemini and copilot", "orchestrate CLI agents", "ask all the models", "AI debate", "multi-model review". Not for single-model edits or generic multi-agent frameworks unrelated to the quintet CLIs.

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.

Operate persistent quintet worker teams — spawn coding-agent CLIs (claude/codex/gemini/copilot/qwen) as long-lived tmux workers, distribute scoped subtasks, monitor, and shut down. Use proactively when running a multi-agent CLI team in tmux, when distributing work across AI workers, for building or refactoring in parallel, or when recovering a stuck or orphaned quintet team. Trigger on "quintet team", "tmux worker team", "parallel AI workers", "spawn agent workers", "run codex and gemini in parallel to build", "distribute subtasks across models". Not for one-shot multi-model questions — use quintet-fleet-dispatch.

Convert one or more standalone HTML pages, static templates, or design-tool exports into an Astro site while preserving visual and behavioral fidelity. Use for new or existing Astro projects, single-page or multi-route migrations, legacy CSS and asset preservation, vanilla JavaScript migration, evidence-based component extraction, and post-parity optimization.

Convert one or more standalone HTML pages, static templates, or design-tool exports into an Astro site while preserving visual and behavioral fidelity. Use for new or existing Astro projects, single-page or multi-route migrations, legacy CSS and asset preservation, vanilla JavaScript migration, evidence-based component extraction, and post-parity optimization.

Propose a new change with all artifacts generated in one step. Use when the user wants to quickly describe what they want to build and get a complete proposal with design, specs, and tasks ready for implementation.

Update an OpenSpec change by revising its existing planning artifacts and keeping them coherent with one another. Use when the user wants to revise a change's plan, fold new decisions into it, or reconcile its artifacts after an edit. Never edits code.

Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.

Verify implementation matches change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving.

Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.

Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browser_use, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle hooks, MCP server setup, or monitoring/observability with Laminar or OpenLIT. Also trigger for questions about browser-use installation, prompting strategies, or sensitive data handling. Do NOT use this for Cloud API/SDK usage or pricing — use the cloud skill instead. Do NOT use this for directly automating a browser via CLI commands — use the browser-use skill instead.

Documentation reference for using Browser Use Cloud — the hosted API and SDK for browser automation. Use this skill whenever the user needs help with the Cloud REST API (v2, v3, or v4), browser-use-sdk (Python or TypeScript), X-Browser-Use-API-Key authentication, cloud sessions, browser profiles, profile sync, CDP WebSocket connections, stealth browsers, residential proxies, CAPTCHA handling, webhooks, workspaces, skills marketplace, liveUrl streaming, pricing, or integration patterns (chat UI, subagent, adding browser tools to existing agents). Also trigger for questions about n8n/Make/Zapier integration, Playwright/ Puppeteer/Selenium on cloud infrastructure, or 1Password vault integration. Do NOT use this for the open-source Python library (Agent, Browser, Tools config) — use the open-source skill instead.

Create cross-platform agent skills from workflow descriptions. Activates when users ask to create an agent, automate a repetitive workflow, create a custom skill, or need advanced agent creation. Triggers on phrases like create agent for, automate workflow, create skill for, every day I have to, daily I need to, turn process into agent, need to automate, create a cross-platform skill, validate this skill, export this skill, migrate this skill, audit this skill, is this skill safe, vet a skill before installing, what does this skill access. Supports single skills, multi-agent suites, transcript processing, template-based creation, interactive configuration, cross-platform export, spec validation, and security auditing of third-party skills before install.

Provides comprehensive technical analysis for stocks and ETFs using RSI, MACD, Bollinger Bands, and other indicators. Activates when user requests stock analysis, technical indicators, trading signals, or market data for specific ticker symbols.