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OpenClaw plugin that connects an AI agent to the HashBox iOS app via Firebase webhook for push notifications.

Generate daily/weekly/monthly health summaries with nutrition totals, target comparisons, and trends.

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Control Athom Homey smart home devices via local (LAN/VPN) or cloud APIs. List/control devices, trigger flows, query zones. Works with Homey Pro, Cloud, and Bridge.

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Analyzes system state (memory, tools, events) and generates strategic innovation proposals to break evolution stagnation plateaus.

Generate Instagram marketing content from product URLs. Extract product information and create engaging Instagram posts with image suggestions, captions, and hashtags optimized for engagement. Use when user provides a product URL from e-commerce sites like Amazon, Shopify, Taobao, etc. and wants Instagram marketing content such as Image/text post ideas, engaging captions with CTAs, hashtag strategy, or Story/reels content suggestions.

Design and verify API contracts for backward compatibility. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

Triage production bugs fast with repro isolation and risk-first fixes. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

Track and reduce flaky tests with deterministic isolation. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

Map unfamiliar codebases into modules, owners, and entrypoints. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

Create precise incident timelines from logs and notes. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

Assess migration risk and design staged rollouts. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

Calibrate assistant personality to voice, boundaries, and audience context. Use when handling personality work that needs repeatable steps, quality gates, and practical outputs.

Plan low-risk refactors with seams, tests, and rollback points. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

Find missing tests by failure mode and business impact. Use when handling development work that needs repeatable steps, quality gates, and practical outputs.

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Generate AI videos using Kling 2.6 (via Kie.ai).

Call 100+ LLM providers through LiteLLM's unified API. Use when you need to call a different model than your primary (e.g., use GPT-4 for code review while running on Claude), compare outputs from multiple models, route to cheaper models for simple tasks, or access models your runtime doesn't natively support.

Fitness accountability for the Lofy AI assistant — workout logging from natural language, meal tracking with calorie/protein estimates, PR detection with Epley formula, gym reminders based on weekly targets, and progress reports. Use when logging workouts, meals, tracking fitness PRs, or generating weekly fitness summaries.

Lybic Sandbox is a cloud sandbox built for agents and automation workflows. Think of it as a disposable cloud computer you can spin up on demand. Agents can perform GUI actions like seeing the screen, clicking, typing, and handling pop ups, which makes it a great fit for legacy apps and complex flows where APIs are missing or incomplete. It is designed for control and observability. You can monitor execution in real time, stop it when needed, and use logs and replay to debug, reproduce runs, and evaluate reliability. For long running tasks, iterative experimentation, or sensitive environments, sandboxed execution helps reduce risk and operational overhead.