跳到正文
cccskills
免费在 GitHub 公开

roi-calculator

Calculate comprehensive ROI for AI implementation projects. Takes current costs, manual process time, team size, and hourly rates. Generates detailed roi-analysis.md with executive summary, cost-benefit tables, sensitivity analysis, break-even timeline, and comparison scenarios. Use when evaluating AI investments, building business cases, or justifying automation spend.

中文简介正在准备中。当前显示原文说明。

实测评分 未实测

查看安装方法

包含的文件(5)

  • SKILL.md2.1 KB
  • references/inputs.md1.9 KB
  • references/methodology.md3.4 KB
  • references/output-template.md8.0 KB
  • references/rules-and-protocol.md2.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

AI Implementation ROI Calculator

Gather inputs about current operations and produce a comprehensive roi-analysis.md with data-backed financial insights and a clear recommendation.

Contents

  • references/inputs.md — required and optional inputs, with defaults
  • references/methodology.md — all calculation formulas and sensitivity/comparison logic
  • references/output-template.md — full roi-analysis.md structure to fill in
  • references/rules-and-protocol.md — calculation rules, interaction protocol, quality checklist

Workflow

  1. Collect inputs. Gather every required cost, time, and labor input. If any required input is missing, ask for it in one organized message grouped by category. Do not guess. See references/inputs.md for the full input list and defaults.
  2. Apply defaults. For optional parameters the user omits, use the conservative defaults in references/inputs.md and note that defaults were applied.
  3. Calculate metrics. Compute time savings, cost savings, net monthly savings, ramp-up adjustment, payback period, 12-month ROI, NPV, and productivity gain using the formulas in references/methodology.md.
  4. Run sensitivity and comparison scenarios. Produce conservative/base/optimistic cases and at least three comparison scenarios per references/methodology.md.
  5. Generate the report. Write roi-analysis.md to the current working directory following references/output-template.md. Apply the formatting and calculation rules in references/rules-and-protocol.md.
  6. Verify and summarize. Run the quality checklist in references/rules-and-protocol.md, then report the top 3 findings and the saved file path.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Audit websites for accessibility issues and WCAG compliance. Use when checking accessibility, fixing a11y issues, or ensuring WCAG compliance.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Use to test whether an AI agent, prompt, or skill actually works before or after it ships — build a small eval set, score runs, and catch regressions when the prompt or model changes. Trigger when the user asks whether a prompt is good, wants to compare models or versions, sees inconsistent agent output, or is about to put an agent in front of customers.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Deploys swarms of sub-agents for massive parallel data processing tasks. Unlike agent-army (which is for code changes), this is for DATA tasks -- processing 1000 documents, analyzing datasets, bulk content generation. Configurable swarm size, task distribution, result aggregation, progress tracking, and error recovery.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Designs and deploys custom agent teams for specific business workflows. Interactive discovery of business processes, then generates complete team configurations with specialized agent roles, tool access, communication protocols, and handoff rules.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

Agent-to-Agent (A2A) communication protocol. Connect two or more Claude agents that pass messages, share context, delegate tasks, and collaborate. Implements structured handoffs, shared memory, and multi-agent conversations.

中文简介正在准备中。当前显示原文说明。

OneWave-AI/claude-skills3682026年10月20日 更新

查看 OneWave-AI 的全部技能

报告此技能的问题