Browse 5,831 Fullstack & Backend Engineering — Agentic Skills

Control the Windows PC from WSL2.

Real-time financial data API for AI agents.

A production-ready universal engine for Agentic.

Use the fizzy-cli tool to authenticate and manage Fizzy kanban.

Generic Multi-Agent Dispatcher (English): Turns the main agent into a pure dispatcher that delegates all work to 5.

Deployment workflows, CI/CD pipeline patterns, Docker containerization, health checks, rollback strategies, and production readiness checklists for web applications. Use when setting up CI/CD, containerizing an app, or checking production readiness before a release.

Structured project/task management for OpenClaw agents — markdown-first authoring, SQLite-backed querying.

This skill should be used when the user asks to "create a plugin", "scaffold a plugin", "understand plugin structure", "organize plugin components", "set up plugin.json", "use ${ANTIGRAVITY_PLUGIN_ROOT}", "add commands/agents/skills/hooks", "configure auto-discovery", or needs guidance on plugin directory layout, manifest configuration, component organization, file naming conventions, or Google Antigravity plugin architecture best practices.

Continuous financial news crawler for finviz.com with SQLite storage, article extraction, and query tool.

Search B2B leads and companies, find/validate emails via Generect Live API.

A high-performance automation agent that turns global trends into viral social media posts for X (Twitter)

Your personal board of AI advisors — the only skill that uses truly different AI models (not one model role-playing).

Multi-step deployment agent for full-stack.

Design and verify runtime output when creating or modifying Python, PowerShell, or Node.js scripts that process multiple files, records, or API requests. Use for batch scripts, bulk operations, silent long-running loops, progress reporting, per-item failures, final counts, stdout separation, or exit-status consistency. Not for UI progress bars, monitoring infrastructure, or progress updates in the AI conversation.

Use when an outage, production incident, or significant service degradation has occurred and the team needs a blameless post-mortem / RCA document in the Google SRE format. Triggers on phrases like "write a post-mortem", "incident review", "what went wrong", "outage report", "root cause analysis", "RCA", or "fishbone". Collects incident inputs from the user, uses a fishbone (Ishikawa) diagram to surface candidate causes, drills the strongest branches with 5 Whys, and produces typed act

Pretty print JSON with indentation".

Interactive crypto deep-research framework with human-AI collaboration for superior research outcomes.

**AI-powered email marketing for Kit (ConvertKit)**.

How to use the coala-client CLI for chat with LLMs, MCP servers, and skills.

Run AIMLAPI LLM and reasoning workflows through chat completions with retries, structured outputs, and explicit.

Interact with DWLF (dwlf.co.uk), a market analysis platform for crypto.

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP complian

Post or schedule video content to YouTube using the Publora API.