ai-firstify
The ai-firstify skill analyzes, audits, or restructures projects according to AI-first design principles through three modes: Audit performs read-only analysis across seven dimensions with scored recommendations; Re-Engineer executes active transformations across seven phases after initial audit; Bootstrap guides new project setup through discovery questions and architecture recommendations. Use when asked to review, improve, or start AI-first projects.
git clone --depth 1 https://github.com/techwolf-ai/ai-first-toolkit /tmp/ai-firstify && cp -r /tmp/ai-firstify/plugins/ai-firstify/skills/ai-firstify ~/.claude/skills/ai-firstifySKILL.md
# AI-Firstify Analyze and re-engineer projects to align with AI-first design principles. ## Trigger Use this skill when asked to: - **Audit mode** (read-only): "review", "audit", "analyze", "check", "assess" - **Re-Engineer mode** (active changes): "ai-firstify", "fix", "improve", "re-engineer", "transform" - **Bootstrap mode** (new project): "start", "new project", "bootstrap", "set up", "build from scratch" ## Mode 1: Audit (Read-Only Analysis) Perform a comprehensive read-only analysis across 7 dimensions. Output a scored report with recommendations. Do NOT modify any files. Read **references/mode-audit.md** for the full audit procedure and dimension checklist. ## Mode 2: Re-Engineer (Active Transformation) First, perform the full audit (Mode 1). Then actively fix issues in 7 phases: foundation, de-agentification, skill extraction, complexity reduction, context hygiene, safety hardening, workflow optimization. Read **references/mode-reengineer.md** for the full re-engineering procedure. ## Mode 3: Bootstrap (New Project Setup) Guide the user through setting up a new AI-first project from scratch. Interactive: ask discovery questions, recommend architecture, scaffold, and test. Read **references/mode-bootstrap.md** for the full bootstrap procedure. ## Reference Files Domain knowledge (load on demand per dimension): - **references/principles.md**: All 9 AI-first design principles in depth - **references/patterns.md**: All 7 design patterns with implementation guidance - **references/anti-patterns.md**: Common mistakes with detection patterns and fixes - **references/skill-architecture.md**: How to structure skills, sub-agents, and workflows - **references/project-structure.md**: Ideal project layouts, CLAUDE.md templates, .gitignore - **references/assessment-rubric.md**: Scoring criteria and report template Load the relevant reference file for the dimension you are currently analyzing. Do not load all references at once. Use progressive disclosure. ## Tools - **scripts/validate-report.sh**: Validates that a generated assessment report has all required sections, dimensions, and scores
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Build an MCP server end to end, tailored to how it will be used. Use when asked to build an MCP, create an MCP server, wrap an API as a tool, make a tool for Claude, expose a service to an agent, build a Claude connector, or turn a service into MCP tools. Asks up front who the server is for (just me, my org, or public) and what it wraps, then walks through analyze, build, deploy, scale, and distribute with steps tailored to that answer. Builds on the example-skills:mcp-builder skill for implementation depth.
Entry point for the TechWolf content-studio plugin. Use to understand the workflow, pick the right content skill, or start setup for a new author/repository.
Synthesised view of account health and activity for managers overseeing customer-facing teams (Sales, CS, Professional Services, Presales). Scans project channels, email threads, and Notion pages to surface status, risks, and upcoming milestones, without requiring the manager to trawl through individual channels. Supports proactive account management.
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