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MCP server · Agents

AI Driven Development

A quality methodology for AI-assisted software development. Six layers, adopted incrementally.

44Fair

Scored 14 days ago · breakdown

About AI Driven Development

AI Driven Development is an MCP server in the Agents category: a quality methodology for AI-assisted software development. Six layers, adopted incrementally.

The repository has 1 stars and 0 forks.

Install

From source
git clone https://github.com/CodeAlive-AI/ai-driven-development

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README


Installation

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

# Install all 19 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.


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) — single command, handles JSON/YAML/TOML config differences
hooks-management Manage hooks and automation for Claude Code, Codex CLI, and OpenCode
settings-management Configure settings for Claude Code (JSON), Codex CLI (TOML), and OpenCode (JSON/JSONC)
subagents-management Create and manage subagents across Claude Code, Codex CLI, and OpenCode
skills-management Organise, discover, and share skills for coding agents
plugins-management Package and publish plugins for Claude Code and OpenCode (validate, scaffold, submit to Anthropic's directory)
optimizing-claude-code Audit repos and optimise CLAUDE.md for agent work

Engineering practices (4)

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

Skill What It Does
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
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

Research & docs (3)

Skill What It Does
semantic-scholar-deep Deep research over the Semantic Scholar Graph API — backward references, recommendations, batch lookup (up to 500 IDs), multi-hop citation-graph BFS, snippet search. Ships with an optional paired subagent for token-isolated literature reviews
fetch-url-as-markdown URL → clean Markdown via local trafilatura (real-browser UA, anti-stub guards, structured exit codes), with Exa MCP as a fallback for JS-rendered or anti-bot pages. Drop-in replacement for built-in WebFetch
ubiquitous-language Domain thesaurus manager — DDD naming consistency, thesaurus generation, naming audit

Multi-agent orchestration (1)

Skill What It Does
agents-consilium Query Codex CLI and Gemini CLI in parallel for independent expert opinions on architecture, code reviews, and investigations. Different models bring different angles: more original ideas in brainstorming, broader coverage in code review

macOS & system health (1)

Skill What It Does
maintaining-macos-health Disk cleanup + dev-machine optimisation + proactive health alerting. Triage flow for kernel panic / watchdog timeout / vm-compressor-space-shortage / Jetsam events. Tiered cleanup playbook (zero-risk → discuss-first), Mole-style safety guards, and a noise-resistant LaunchAgent alerter (3 CRITICAL-only triggers, hysteresis, calibration window). Apple Silicon focus

Niche utilities (3)

Skill What It Does
clipboard Copy text to macOS clipboard with optional rich formatting (HTML + plain text). Slack/LinkedIn-aware — uses HTML rich text instead of mrkdwn, and warns about <table> not rendering in chat targets
repo-explorer Explores repositories by delegating to Claude Code CLI. Saves context for the calling agent and speeds up codebase understanding
windows-qa-engineer Manual QA copilot for Windows 11 desktop apps (WinForms / WPF / UWP). Uses Microsoft UFO (UIA / Win32) + FastMCP mount() composition + MCP protocol

Hooks (1)

Standalone agent-safety tooling that doesn't fit the skill format — typically because it has to live inside an agent's hook protocol or run as a compiled binary.

Hook What It Does Install
balanced-safety-hooks bash-guard — Claude Code PreToolUse:Bash safety hook in Go. Real Bash AST parsing via mvdan.cc/sh (heredocs, single-quoted prose, sudo/env/xargs/bash -c/eval/ssh/pipe-to-shell). Catastrophic-path matrix with safe-path carve-outs. Default rule set uses ask, not deny — agents trivially bypass deny by rephrasing. Covers rm/unlink/shred, ORM migrations, infra (kubectl/gcloud/helm/docker/terraform/git push -f), PaaS CLIs (railway/fly/heroku), DB clients (psql/redis-cli), and cloud control-plane API mutations curl -fsSL https://raw.githubusercontent.com/CodeAlive-AI/ai-driven-development/main/hooks/balanced-safety-hooks/install-prebuilt.sh | sh

Working principles

This collection is built on four principles that show up across all skills:

  1. Cross-agent first. Skills follow the Agent Skills open standard so they work in Claude Code, Cursor, Codex, Gemini, OpenCode, Antigravity, Copilot CLI — anywhere npx skills add reaches.
  2. Low false-positive friction. Tools that interrupt your workflow (the bash-guard hook, agent prompts) are tuned for high signal: only ask when the action is genuinely destructive, not when there's a fuzzy keyword match.
  3. Disciplined defaults. Skills like bug-fix-protocol and fpf-problem-solving codify practices that pay off when the agent goes off the happy path — multi-step protocols rather than one-shot prompts.
  4. Token-cheap. Skill descriptions are kept tight so they don't dominate context. The semantic-scholar-deep skill goes further with an optional paired subagent for token-isolated research.

Repository structure

ai-driven-development/
├── .claude-plugin/
│   ├── marketplace.json         ← lists this repo as a single plugin (source: "./")
│   └── plugin.json               ← umbrella plugin manifest
├── skills/                       ← canonical agent-skills layout
│   ├── agents-consilium/
│   ├── bug-fix-protocol/
│   ├── clipboard/
│   ├── fetch-url-as-markdown/
│   ├── fpf-problem-solving/
│   ├── hooks-management/
│   ├── investigating-repository-history/
│   ├── maintaining-macos-health/
│   ├── mcp-management/
│   ├── optimizing-claude-code/
│   ├── plugins-management/
│   ├── prompt-engineering/
│   ├── repo-explorer/
│   ├── semantic-scholar-deep/
│   ├── settings-management/
│   ├── skills-management/
│   ├── subagents-management/
│   ├── ubiquitous-language/
│   └── windows-qa-engineer/
├── hooks/
│   └── balanced-safety-hooks/    ← bash-guard (Go, pre-built binaries via release)
├── README.md (+ ru/zh/pt-BR translations)
├── CLAUDE.md
└── LICENSE

The same skills/ directory is read by both npx skills add (the cross-agent CLI) and Claude Code's plugin install — no symlinks, no duplication. The .claude-plugin/marketplace.json declares this repo itself as a single plugin via source: "./".


Contributing

Each skill lives in skills/<skill-name>/ with a SKILL.md (agent-facing contract) and an optional README.md (human-facing entry). Most skills also have references/, scripts/, or assets/ directories for supporting material.

When adding a skill or materially changing one, refresh:

  • The skill's own SKILL.md and README.md
  • The relevant section table above
  • .claude-plugin/plugin.json and .claude-plugin/marketplace.json version (semver — minor bump for new skills, major for breaking interface changes)

See CLAUDE.md for the full development guide.


Heritage

This collection is the consolidation of nine previously-separate CodeAlive-AI repositories:

  • agents-reflection-skills (the 7 meta-skills, the marketplace base)
  • prompt-engineering-skill
  • fpf-problem-solving-skill
  • clipboard-skill
  • claude-repo-explorer-skill
  • windows-qa-engineer-skill
  • ai-driven-development (the original — bug-fix protocol)
  • awesome-agent-skills (5 skills + the bash-guard hook)

The 7 meta-skills' commit history lives on in this repo (consolidated via git mv). The other source repos retain their own histories at their original URLs and will be archived with pointer READMEs shortly.


License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About AI Driven Development

How do I install AI Driven Development?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is AI Driven Development safe to use with an AI agent?

Its trust score is 44 out of 100 (fair). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is AI Driven Development still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.