ai-driven-development

AI-Driven Development

Practices, protocols, and skills for AI-driven software development

An umbrella collection of 23 skills + 1 hook that work across Claude Code, Codex CLI, OpenCode, Cursor, Gemini CLI, Antigravity, and any other agent that supports the Agent Skills standard.

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Related Projects

• Apple App Store Reviewer — moved to Vibe Stack in full; install this skill from CodeAlive-AI/vibe-stack.
• Vibe Stack — an opinionated AI-native development stack with one verified default per layer, covering web apps, agent apps, deployment, persistence, error tracking, and observability.

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Installation

Via Skills CLI (recommended — works in 12+ agents):

# Install all 23 skills
npx skills add CodeAlive-AI/ai-driven-development

# Or pick a single skill
npx skills add CodeAlive-AI/ai-driven-development --skill prompt-engineering

Via Claude Code plugin marketplace:

/plugin marketplace add CodeAlive-AI/ai-driven-development
/plugin install ai-driven-development@ai-driven-development
# Restart Claude Code for changes to take effect

The Bash safety hook (bash-guard) ships separately — see hooks/balanced-safety-hooks/ for its install one-liner.

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What's Included

Agent reflection & meta (7)

Meta-skills that let AI coding agents configure themselves. No more editing config files — just tell your agent what you need.

Skill	What It Does
mcp-management	Install and manage MCP servers across 10+ coding agents (Claude Code, Cursor, VS Code, Gemini CLI, Codex, Goose, Copilot CLI, OpenCode, Zed, Devin) — single command, handles JSON/YAML/TOML config differences
hooks-management	Manage hooks and automation for Claude Code, Codex CLI, OpenCode, and Devin CLI/Desktop
settings-management	Configure settings for Claude Code (JSON), Codex CLI (TOML), OpenCode (JSON/JSONC), and Devin CLI/Desktop (JSON)
skills-management	Organise, discover, share, and train skills for coding agents — SkillOpt-style optimisation loop with bounded edits, held-out validation gate, rejected-edit buffer, epoch-wise slow/meta update, plus trigger / transfer / diff / edit-log tooling
plugins-management	Package and publish plugins for Claude Code, OpenCode, and Devin CLI/Desktop (validate, scaffold, submit to Anthropic's directory)
agentic-readiness	Audit and improve repositories for Codex/Codex App, Claude Code, and OpenCode, including AGENTS.md/CLAUDE.md discovery and routing
installing-cli-tools	Install, upgrade, authenticate, verify, and roll back developer CLIs while keeping tokens and API keys out of chat, logs, shell history, startup files, and repositories

Engineering practices (8)

Disciplined approaches that improve how agents and humans collaborate on code.

Skill	What It Does
code-that-fits-in-your-head	Keep agent-authored systems understandable and maintainable by resisting accidental complexity, Big Balls of Mud, and technical-debt accumulation. Supports large changes when architecture, acceptance criteria, verification, and recovery are explicit; uses structural heuristics without universal formatting or task-size limits
prompt-engineering	Universal prompt-engineering toolkit. 14 reference docs covering Claude / GPT / Gemini family-specific guidance, prompting techniques, evaluation & red-teaming, common failure modes (hallucinations, security, structure, debt)
fpf-problem-solving	First Principles Framework — a transdisciplinary "operating system for thought". Decompose cross-domain problems, audit conclusions, and reason rigorously about complex systems. Based on Anatoly Levenchuk's FPF
bug-fix-protocol	8-step bug-fix protocol. Treats every production bug as two failures (the code defect + the testing system that allowed it through) and enforces a step-8 audit that closes the gap
plan-mode	Planning gate for any project change. Investigate context → analyse the task → surface ambiguities, contradictions, risks, and blockers → ask focused questions → produce an evidence-based, step-by-step plan → implement only after explicit approval, then validate. Compact always-on SKILL.md + full PROTOCOL.md
investigating-repository-history	Reconstruct historical intent before risky edits. Local git blame/log + GitHub PR/review evidence (via gh, never direct API), with squash/rebase/cherry-pick/rename/revert anomaly handling, decision-atom extraction, and confidence-scored output — produces a cited history note instead of guessing
refactoring-csharp	One-shot Roslyn contract for renaming C# symbols from file + 1-based line + oldName, with dry-run preview, safe file moves for supported named types, and explicit error codes
repo-activity-summary	Summarize what a repository has been doing from local git log — technologies, work types, churn hotspots, contributor patterns, velocity, and health signals. Stdlib-only Python, no network or API keys. Benchmarked at −42% cost / −37% wall clock versus the same agent answering the same question unaided, at equal factual accuracy; flags its own low-confidence classification instead of asserting it

AI infrastructure (1)

Skill	What It Does