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AI video production needs model selection, uploads, polling, and delivery steps. This skill guides agents through Pexo project creation, asset upload, chat, status polling, and final video delivery.

Agent teams need repeatable evidence before comparing models. PinchBench runs real-world OpenClaw tasks, grades outcomes, and can publish results to a leaderboard.

Label knowledge, roster data, and recurring work often become fragmented across tools. This skill builds a structured workspace connected to Recoup workflows.

AI agents need a structured way to find services, post work, and manage paid delivery. ClawLabor provides marketplace workflows for discovery, escrow-backed orders, tasks, events, and account operations.

Concurrent AI agents can create conflicting changes and repeat failed workflows. This skill documents Agentic Jujutsu methods for coordination, trajectory learning, and integrity checks.

Manual pull request review can miss security, performance, and architecture issues. This skill coordinates GitHub CLI workflows and ruv-swarm agents for structured review feedback.

Sequenzy tasks can span many CLI and MCP commands. This skill maps requests to supported workflows, caveats, and review links.

Single-run checks hide stochastic failures and production regressions. This skill designs repeatable evaluations with behavioral, adversarial, statistical, and leakage tests.

Autonomous coding agents need reliable loops, tool contracts, permissions, and context handling. This skill provides Python patterns for architecture, browser automation, checkpoints, and MCP integration.

Agentic coding tools are powerful, but teams often lack clear operating habits. This skill gives practical Claude Code guidance for setup, prompts, debugging, and verification.

Computer use agents need safe designs before they control screens, keyboards, and files. This skill provides implementation patterns, sandbox guidance, and Claude tool examples for safer GUI automation.

Multi-agent projects often fail because roles, tasks, dependencies, and control flow are unclear. This skill provides practical CrewAI patterns for structured Python workflows.