Detect 500+ types of hardcoded secrets (API keys, credentials, tokens) before they leak into git. Wraps GitGuardian's ggshield CLI.

Use this skill if your uncertainty with a package's API is > 5% to create a deterministic, versioned mirror of the package repo with a built-in coordinate system, installed as an additional skill.

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Plan A/B tests with proper methodology — hypothesis, sample size, duration, variant design, statistical significance.

When the user wants to set up, improve, or audit analytics tracking and measurement.

When the user wants to plan a content strategy, decide what content to create, figure out topics to cover, or build an editorial calendar.

Audit and optimise signup flows for higher conversion.

When the user wants to create social media content for any platform.

Crisis response and intensive problem-solving with multiple agents.

Web-first, publishable OpenClaw skill for OpenAI OAuth account switching. Use when you need a reusable public-track workflow for first-run takeover, environment discovery, doctor checks, runtime inspection, slot management, dry-run validation, controlled switch experiments, rollback planning, and release-safe packaging without bundling live auth snapshots, logs, callbacks, or other machine-specific runtime data.

The only agent framework that improves itself while you sleep. Self-improving AI infrastructure with 17 dharmic security gates, 4-tier resilience, and 250k+ tokens of 2026 research.

OpenClaw-only sidecar for the original follow-builders skill. Use when the user wants to take over scheduling and delivery without modifying the upstream skill, configure digest delivery, inspect takeover status, or roll back to the original cron.

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Connect OpenClaw to Interactive Brokers via IB Gateway Docker. Live portfolio data, real-time quotes, historical K-lines, technical analysis, and Telegram alerts — all read-only safe. Use when users ask about IBKR integration, portfolio monitoring, stock analysis, or automated trading alerts.

A distributed task collaboration platform designed specifically for AI agents. Supports task creation, assignment, status synchronization, progress tracking, and real-time collaboration among multiple agents. Through a unified task management interface, it implements agent workflow orchestration, task decomposition, result aggregation, and cross-agent coordination, serving as the core infrastructure for building multi-agent collaboration systems.

EVE — Persistent AI Research Supervisor Agent. Three modes: Auto, Semi-Manual, Manual. Full research lifecycle from search to publication-ready LaTeX paper.

Diagnoses and auto-heals BlueBubbles ↔ OpenClaw iMessage connectivity. Use when: iMessages stop arriving after a gateway restart, webhook connection is broken, or user reports messages not coming through. Runs a 4-step diagnostic and auto-fixes webhook backoff, stale registrations, and gateway issues.

Expert Senior Django Architect specializing in high-performance, containerized, async-capable architectures. Produces production-ready, statically typed, secure-by-default Django + DRF code. Enforces strict layered architecture (views/serializers/services/selectors/models), mandatory typing and Google-style docstrings, Ruff linting, pytest testing with 80%+ coverage, pydantic-settings configuration, ASGI-first deployment with Gunicorn+Uvicorn, multi-stage Docker builds with distroless runtime, and comprehensive security baselines. All code must be complete with zero placeholders.

Senior Python Developer operating in strict mode. Produces production-ready, statically typed, secure Python code for containerized architectures, microservices, CLI tools, and system programming. Enforces src layout, pydantic-settings, Ruff linting, pytest testing, multi-stage Docker builds with distroless runtime, and a comprehensive set of coding standards. Reasoning is output in Russian; code and comments in English. Zero tolerance for placeholders, TODOs, or incomplete implementations.

Trade and monitor Hyperliquid perpetual futures. Check balances, view positions with P&L, place/cancel orders, execute market trades. Use when the user asks about Hyperliquid trading, portfolio status, crypto positions, or wants to execute trades on Hyperliquid.

memoclaw

Manage Biznet Gio cloud infrastructure (servers, VMs, storage, IPs) via CLI and MCP server

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Answers questions based on the content of uploaded documents (PDF, DOCX, TXT), supporting individual files or entire folders.

URL shortener, QR code generator, and link analytics API. Create short links, generate QR codes, and track click analytics.

saved-markdown

Analyze, clean up, and organize Apple Photos libraries. Find and report junk photos (screenshots, low-quality, burst leftovers, duplicates), analyze storage usage, generate photo timeline recaps, plan smart exports, analyze Live Photos, check iCloud sync, audit shared libraries, detect similar photos, curate seasonal highlights, and score face quality. All analysis operations are READ-ONLY on the database (safe). macOS only. Requires Python 3.9+ (stdlib only) and access to the Apple Photos SQLite database. Trigger on: Photos cleanup, photo storage, duplicate photos, junk photos, screenshot cleanup, Photos analysis, photo timeline, photo export, Photos library stats, burst cleanup, storage hogs, photo organization, Live Photos, iCloud sync, shared library, similar photos, seasonal highlights, face quality, portraits.

Safety guardrails for autonomous agents. Intercepts destructive actions, requires structured approval before irreversible operations, with CLI-backed cryptographic audit trails and policy enforcement. Your lobster has claws. Keel is the rubber band.

Integración con MemPalace para gestión de memoria semántica persistente. Use when you need to search, add, or query memories stored in a MemPalace palace. Supports semantic search, knowledge graph queries, and memory management via ChromaDB-based storage.

Perform 12-Factor App compliance analysis on any codebase. Use when evaluating application architecture, auditing SaaS applications, or reviewing cloud-native applications against the original 12-Factor methodology.

Extract architectural decisions from conversations. Identifies problem-solution pairs, trade-off discussions, and explicit choices. Use when analyzing session transcripts for ADR generation.

Generate Architectural Decision Records (ADRs) following the MADR template with systematic completeness checking.

> Reference: [12-Factor Agents](https://github.com/humanlayer/12-factor-agents)

Turn a set of local paths (or a beagle project's conventional knowledge locations) into a cited, structured extraction of insights, context, decisions, and raw detail.

Reviews axum web framework code for routing patterns, extractor usage, middleware, state management, and error handling. Use when reviewing Rust code that uses axum, tower, or hyper for HTTP services. Covers axum 0.7+ patterns including State, Path, Query, Json extractors.

Reviews BubbleTea TUI code for proper Elm architecture, model/update/view patterns, and Lipgloss styling. Use when reviewing terminal UI code using charmbracelet/bubbletea.

commit and push all local changes to remote repo

create a pull request with standardized description template

Guides architectural decisions for Deep Agents applications. Use when deciding between Deep Agents vs alternatives, choosing backend strategies, designing subagent systems, or selecting middleware approaches.

Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.

Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.

Core technical documentation writing principles for voice, tone, structure, and LLM-friendly patterns. Use when writing or reviewing any documentation.

Generate first-draft technical documentation from code analysis

Reviews Elixir code for idiomatic patterns, OTP basics, and documentation. Use when reviewing .ex/.exs files, checking pattern matching, GenServer usage, or module documentation.

Reviews Elixir documentation for completeness, quality, and ExDoc best practices. Use when auditing @moduledoc, @doc, @spec coverage, doctest correctness, and cross-reference usage in .ex files.

Guides writing Elixir documentation with @moduledoc, @doc, @typedoc, doctests, cross-references, and metadata. Use when adding or improving documentation in .ex files.

Verify documentation coverage and generate missing docs interactively

Configures ExDoc for Elixir projects including mix.exs setup, extras, groups, cheatsheets, and livebooks. Use when setting up or modifying ExDoc documentation generation.

Explanation documentation patterns for understanding-oriented content - conceptual guides that explain why things work the way they do

Reviews FastAPI code for routing patterns, dependency injection, validation, and async handlers. Use when reviewing FastAPI apps, checking APIRouter setup, Depends() usage, or response models.