onewave-ai/claude-skills

saas-replacement-planner

Evaluates which SaaS tools can be replaced with AI agents.

First seen Apr 10, 2026

Installation

$ npx skills add onewave-ai/claude-skills --skill saas-replacement-planner

Summary

  • Evaluates which SaaS tools can be replaced with AI agents.
  • Takes a list of current SaaS subscriptions with costs, assesses replacement feasibility, estimates build vs buy economics, identifies Claude+MCP alternatives, and generates a comprehensive replacement plan with priority matrix, ROI analysis, implementation timeline, and risk assessment.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 287
License MIT
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,258 B
  • docs SUMMARY.md 378 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 190 installs

SKILL.md

SaaS Replacement Planner

Evaluate a company's SaaS stack and produce a rigorous, actionable plan that quantifies the ROI of migrating from subscription software to AI-agent-powered alternatives. Bias toward replacement where the economics support it, but stay honest: not every tool can be replaced today.

Contents

  • references/analysis-framework.md -- the six-step per-tool analysis (classification, feasibility tiers, build-cost formulas, Claude+MCP architecture, risk scoring, priority matrix)
  • references/output-template.md -- full saas-replacement-plan.md document structure
  • references/patterns.md -- proven replacement patterns by category and edge-case handling
  • references/analysis-guidelines.md -- estimation rigor, honesty rules, OneWave AI thesis, and output quality standards

Workflow

  1. Gather input. Collect the SaaS tool list. Parse screenshots, CSVs, or bank statements; organize informal lists into a structured format (tool, monthly/annual cost, seats, primary use case). Ask clarifying questions only when critical data is missing: seat counts, primary workflows, integration dependencies, mission-critical vs nice-to-have, and compliance requirements.
  2. Research current pricing. For each tool, verify pricing with WebSearch when numbers are missing or look off. Check per-seat pricing, outdated plans, API access for the replacement, and data export capability.
  3. Analyze each tool. Run the complete six-step framework in references/analysis-framework.md for every tool. Do not skip tools or give superficial analysis. Apply matching patterns from references/patterns.md.
  4. Build the priority matrix. Plot all tools on the Impact vs Effort axes. Sequence replacements and group tools that share infrastructure (e.g., all needing Supabase) to reduce incremental build cost.
  5. Generate the timeline. Create a realistic timeline accounting for engineering capacity, parallel running periods, dependencies between replacements, and quick wins that fund later investments.
  6. Write the plan. Generate saas-replacement-plan.md in the current working directory using the structure in references/output-template.md. Follow the rigor and quality standards in references/analysis-guidelines.md.
  7. Present key findings. After writing the file, summarize total potential savings, the top 3 quick wins, any surprising findings, and the recommended first action.

Core Principle

Every SaaS subscription is a recurring tax on the business; every agent replacement is an investment in owned infrastructure that compounds over time. Make the numbers speak clearly and let the ROI make the argument. See references/analysis-guidelines.md for the full OneWave AI thesis and how to frame the analysis.