Agentic Development skills behind the JS Mastery workflow
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Updated
Aug 9, 2026 - JavaScript
Agentic Development skills behind the JS Mastery workflow
Open-source, self-hosted AI-assisted operations for Kubernetes and Linux. Start here for source, architecture, deployment, and contributions.
Python Expert Agent tool for OpenCode
Spec-first workflow engine for Claude Code: /cc-spec → /cc-plan → /cc-implement, with automatic stack profiles, token-efficiency rules, write-guarding hooks, and shared team memory.
A markdown editor for macOS built for working alongside AI. Three-way merge, per-hunk diff, git gutter, auto-save. Free and open source.
Evidence-based practices for LLM-assisted development. Install scripts, Claude Code configuration, and a research-backed best practices guide with 34 verified citations.
A working reference for running AI agents with Kanban discipline. Operating model, knowledge system, persona files, and board CLI extracted from a production multi-agent delivery system.
Harness engineering framework for generating repository-local AI engineering harnesses with governance, context routing, and validation.
Codex-native harness for review-first AI development: planning, evidence, recovery, field-readiness simulation, and release gates.
One development workflow for coding agents, without the agent sprawl.
Skill-first toolkit for offline Azure RBAC built-in role matching.
Configurable workflow harness for Codex and LLM coding agents: repo-aware setup, AI agent instructions, slice manifests, MCP/GitNexus routing, tracker integration, and verification gates for reliable agentic software development.
Tool-neutral, simple workflow layer for agentic, spec-driven software development. 🪄✨
🕹️ AppMod Lab: Getting started with SQUAD multi-agent framework — TaskFlow API
CRUD app built end-to-end by a team of Claude Code agents driven from Linear tickets — remote agents implement, test, and gate every PR on GitHub Actions. Includes a case study with per-feature costs, served by the app itself at /blog.
Agent-native Obsidian plugin template with end-to-end testing in real Obsidian instances.
面向 AI Agent 的工程治理工具,为单仓库和多仓库项目生成统一规则、技术约束与验证机制。
Next.js 16 + Supabase starter wired end-to-end for Claude Code — ADR governance, deterministic gates, design-system tooling, and a full .claude/ agent/skill/hook/MCP setup.
A lean agentic-development workflow around Markdown issues, tickets, specs, and ADRs, packaged as an installable skill.
Agent-maintained browser CV ingestion, fidelity normalization, ATS editing, and export prototype.
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