Hooks & Settings for Claude Code
Master Claude Code's settings hierarchy and hook framework to automate workflows and silence repetitive prompts.
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160 skills found
Master Claude Code's settings hierarchy and hook framework to automate workflows and silence repetitive prompts.
Master the Grok Build CLI with professional workflows, safety protocols, and structured plan-mode discipline.
Establish a disciplined, issue-driven agentic operating model with automated tracking and strategic human-in-the-loop.
by Shippers
Instantly diagnose and fix why your AI agent skills aren't triggering when they should.
by Corey Jacobs
Five compact skills for artifact intake, preflight review, test planning, session handoff, and local tool-candidate inspection.
by Corey Jacobs
Convert a repeatable workflow into a reusable agent skill or staged skillchain candidate.
by Corey Jacobs
Run a buyer-readiness check before publishing an AI agent skill package.
by Kaymue
Build production multi-agent systems. 12 patterns, 8 anti-patterns, debugging workflow, cost control. LangGraph + AutoGen + CrewAI.
by Shandra
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
by Joker
DevOps maturity routing, CI/CD tool decision, container orchestration, monitoring/alerting, GitOps workflow.
by Joker
Workflow type routing (text2img/img2img/video), node selection tree, VRAM optimization, quality gates.
Hardens AI prompts and agent workflows against logic errors, tool-misuse, and prompt injection.
by magia c'c
CLI-driven browser automation for AI agents to handle JS-rendering, sessions, and complex web workflows.
by Timoranjes
Teaches AI coding agents the discipline of context engineering — designing what information the agent sees, when, and in what format — to dramatically reduce token waste, prevent session amnesia, and
by Timoranjes
Teaches AI coding agents to self-detect context rot (regression loops, instruction drift, hallucination drift, lost-in-the-middle) during long sessions and execute a structured checkpoint/recovery pro
by Timoranjes
Teaches AI coding agents to systematically verify their own work before declaring "done." Implements a structured five-check verification gauntlet (build/test/lint/git-diff/runtime) that the agent run