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6 posts

Hooks, Skills, Plugins: The Three-Layer Extension System of Mature Coding Agents

Hooks govern control flow, skills inject knowledge, and plugins package both. looplane now has opt-in deny-only project hooks, a bounded SKILL.md loader, exact enabled_skills selection, plugin manifests/install/list, and external-runtime projection. Input rewriting, full lifecycle coverage, remote registries, and a mature marketplace remain open.

Looplane Skills, Blocking Hooks, and Plugin Packages

Looplane treats skills as bounded repository-local guidance, hooks as opt-in host commands that can only deny, and local plugin manifests as packages for skills and hooks; their authority is deliberately different.

Kiro (AWS) Complete Analysis: The Spec-Driven Agentic IDE

Kiro has five tiers: Free 50 credits, Pro $20/1,000, Pro+ $40/2,000, Pro Max $100/5,000, and Power $200/10,000, with add-on credits at $0.04. Auto mode mixes models to cut cost (the same task costs 1.3x credits via Sonnet), and the spec-driven flow turns vibe coding into traceable, structured development.

The OpenClaw Agent Loop: Serialization, Writer Claims, and the Fence That Stops a Stale Turn From Committing

The agent loop is a serialized per-session run. The part worth studying is how it handles concurrency: an admitted run records an activeWriterRunId claim, every transcript write supplies expectedWriterRunId, and the commit transaction verifies the match — so a superseded run cannot commit stale data.

Claude Code Plugins & Marketplaces: Packaging Skills, Hooks, and MCP into One Installable Unit

Plugins add distribution, not new capabilities: they collect skills, agents, hooks, and MCP settings scattered across .claude/ into one manifest-backed directory that marketplaces can install, update, and version-pin. This post covers plugin structure, the minimal build flow, publishing a marketplace, and dependency version constraints.

Claude Code Hooks: A Complete Guide to Event-Driven AI Control

Hooks are Claude Code's event system. They trigger shell commands, HTTP requests, MCP tools, or LLM evaluations automatically before/after tool execution, when a prompt is submitted, or when a task ends. Use them to block dangerous operations, run automated reviews, inject context, or write audit logs.