Browse 5,831 Fullstack & Backend Engineering — Agentic Skills

Use when the user asks to "analyze competitors", "competitor SEO", "who ranks for", "competitive analysis", "what.

Analyze any company's competitive position in minutes.

Know what your competitors ship before their customers.

Pro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners, and compliance/health reports. Use only for aggregated tenant views. For one environment, one flow, run control, or root-cause debugging, use flowstudio-power-automate-mcp, flowstudio-power-automate-debug, or the server monitor-flow bundle. Requires FlowStudio for Teams or MCP Pro+.

Access 600+ apps and services through Composio's.

The philosophical layer for AI agents.

Pre-run prompt compression for iterative AI dev loops.

A utility skill to validate OpenClaw configuration files (`openclaw.json`, `.env`, `package.json`) and ensure.

Validate OpenClaw configuration fields against the official Zod schema.

Search and manage Confluence pages and spaces using confluence-cli.

Construction project management toolkit for AI agents.

Use the open-source @consensus-tools/consensus-tools engine to run multi-LLM policy-based decision workflows: post.

Generate high-quality content across multiple formats.

Faceless YouTube content automation pipeline.

Use when the user asks to "find content gaps", "what am I missing", "topics to cover", "content opportunities".

Full-stack content creation persona for OpenClaw agents.

Transform and repurpose content across multiple.

AI-powered content monitoring and summarization tool.

Research trending topics and generate platform-specific content.

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information.

Recover from context compaction by scanning memory files.

Manage AI agent context window consumption, prevent compaction death spirals, and enforce sub-agent spawn policies.

Keeps the conversation token-friendly by summarizing recent exchanges, surfacing pending actions, and delivering.

Auto-generate beautiful changelogs from git history, grouped by conventional commit types.