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Install in OpenClaw
/install afrexai-spend-intelligence
Description
Analyze company spend data to identify waste, benchmark costs by industry, optimize vendor contracts, and forecast cash flow with a prioritized action plan.
README (SKILL.md)
Spend Intelligence Framework
You are a spend intelligence analyst. When activated, walk the user through analyzing their company's spending patterns to find waste, optimize vendor contracts, and forecast cash needs.
What This Skill Does
Turns raw transaction data into actionable cost reduction — the same capability Rakuten just shipped for consumers (Feb 2026), but built for B2B operations teams.
Process
Step 1: Categorize Spending
Ask for or ingest transaction data. Classify into:
- Fixed: rent, salaries, insurance, SaaS subscriptions
- Variable: marketing, travel, contractors, cloud compute
- Discretionary: events, perks, one-time purchases
- Revenue-generating: sales tools, ad spend, commissions
Step 2: Identify Waste Patterns
Flag these automatically:
| Pattern | Signal | Typical Savings |
|---|---|---|
| Duplicate SaaS | 2+ tools same category | 30-50% of duplicates |
| Zombie subscriptions | No logins >60 days | 100% recovery |
| Price creep | YoY increase >10% | 15-25% via renegotiation |
| Vendor concentration | >30% spend with 1 vendor | Risk reduction + leverage |
| Timing waste | Late payment penalties | 2-5% of affected invoices |
| Overprovision | Cloud/seats usage \x3C40% | 40-60% right-sizing |
Step 3: Benchmark Against Industry
Compare spend ratios to 2026 benchmarks:
SaaS Companies (15-100 employees)
- Engineering tools: 8-12% of revenue
- Sales/marketing: 15-25% of revenue
- G&A overhead: 10-15% of revenue
- Cloud infrastructure: 5-10% of revenue
Professional Services
- Labor: 55-65% of revenue
- Technology: 8-12% of revenue
- Facilities: 5-8% of revenue
- Business development: 10-15% of revenue
Manufacturing
- Raw materials: 40-55% of revenue
- Labor: 20-30% of revenue
- Equipment/maintenance: 5-10% of revenue
- Logistics: 8-12% of revenue
Step 4: Generate Action Plan
For each finding, produce:
- What: specific line item or category
- Current cost: monthly/annual
- Target cost: after optimization
- Action: renegotiate / cancel / consolidate / right-size / switch
- Timeline: immediate / 30 days / 90 days
- Owner: who executes
Step 5: Cash Flow Forecast
Using cleaned spend data, project:
- Monthly burn rate (trailing 3-month average)
- Runway at current rate
- Runway after optimizations
- Seasonal adjustments (Q4 spike, Q1 renewals)
Output Format
## Spend Intelligence Report — [Company Name]
### Summary
- Total monthly spend: $XX,XXX
- Identified savings: $X,XXX/mo ($XX,XXX/yr)
- Savings as % of spend: XX%
- Priority actions: X items
### Top 5 Actions (by impact)
1. [Action] — saves $X,XXX/mo
2. ...
### Category Breakdown
[Table of categories with spend, benchmark, variance]
### 90-Day Optimization Calendar
[Week-by-week action items]
Rules
- Use actual numbers, not ranges, when data is provided
- Flag anything that looks like fraud or unauthorized spend
- Compare against industry benchmarks, not gut feel
- Prioritize by dollar impact, not number of findings
- Include implementation difficulty (easy/medium/hard) for each action
Take Your Spend Analysis Further
This framework gives you the methodology. For industry-specific cost benchmarks, vendor negotiation playbooks, and AI agent deployment guides tailored to your vertical:
- AI Revenue Leak Calculator — Find exactly where you're losing money to manual processes
- Industry Context Packs — Pre-built AI agent configurations for Fintech, Healthcare, SaaS, Manufacturing, and 6 more verticals ($47/pack)
- Agent Setup Wizard — Get your AI agent configured in 5 minutes
Bundles: Pick 3 for $97 | All 10 for $197 | Everything Bundle $247
Usage Guidance
This skill appears to do what it says, but it will need transaction data to be useful — and transaction data is very sensitive. Before using it: (1) Confirm what exact file formats and columns the skill needs and avoid uploading raw bank login credentials, PDF bank statements with full account numbers, or unredacted invoices. (2) Prefer sanitized CSV/exports with payee names anonymized if possible and test with a small sample dataset first. (3) Do not paste API keys, passwords, or full financial credentials into chat; if connector access is required, use read-only, scoped credentials that you can revoke. (4) Ask the publisher for a privacy/data-retention statement and confirm where outputs are sent or stored. (5) Note the README links to paid bundles on afrexai-cto.github.io — the publisher is not clearly identified; if you plan to rely on this commercially, prefer a skill from a known vendor or ask the author for provenance. If you want, provide a small anonymized sample of your transaction CSV and ask the skill to show its analysis process on that sample before sharing broader data.
Capability Analysis
Type: OpenClaw Skill
Name: afrexai-spend-intelligence
Version: 1.0.0
The skill bundle provides a framework for spend intelligence analysis, including categorization, waste identification, benchmarking, and action plan generation. All instructions in SKILL.md and content in README.md align with this stated purpose. While both files contain external links to `afrexai-cto.github.io` for additional resources, these are presented as informational/marketing for the user and do not contain explicit instructions for the AI agent to perform network requests, download, or execute content from these URLs. There is no evidence of malicious intent, data exfiltration, or harmful prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description (spend analysis, vendor optimization, cash-forecasting) align with the SKILL.md steps (categorize transactions, flag patterns, benchmark, action plan). No unexpected binaries, env vars, or installs are requested.
Instruction Scope
The runtime instructions correctly describe categorization, pattern detection, benchmarking, and action-plan generation. However, they are open-ended about data collection: 'Ask for or ingest transaction data' gives broad discretion to request or accept sensitive financial exports, and there is no guidance on accepted file formats, redaction, or limits on what to collect or transmit. That vagueness increases privacy risk but is coherent with the skill's purpose.
Install Mechanism
Instruction-only skill with no install spec and no code files. This minimizes disk persistence and supply-chain risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does not request unrelated secrets. This is proportionate to a data-analysis assistant that operates on user-provided data.
Persistence & Privilege
always is false and the skill does not request persistent installation or system-wide configuration changes. It does not declare elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install afrexai-spend-intelligence - After installation, invoke the skill by name or use
/afrexai-spend-intelligence - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
afrexai-spend-intelligence 1.0.0 — Initial Release
- Guides users through a multi-step process to analyze, categorize, and optimize company spending.
- Automatically flags waste patterns such as duplicate SaaS, zombie subscriptions, and overprovisioned resources.
- Benchmarks spending categories against 2026 industry standards for SaaS, Professional Services, and Manufacturing.
- Generates prioritized, actionable cost-reduction plans with savings projections, assigned owners, and timelines.
- Provides cash flow forecasts showing current and optimized runway.
- Includes links to advanced AI spend analysis tools and industry-specific packs for further optimization.
Metadata
Frequently Asked Questions
What is Spend Intelligence?
Analyze company spend data to identify waste, benchmark costs by industry, optimize vendor contracts, and forecast cash flow with a prioritized action plan. It is an AI Agent Skill for Claude Code / OpenClaw, with 496 downloads so far.
How do I install Spend Intelligence?
Run "/install afrexai-spend-intelligence" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Spend Intelligence free?
Yes, Spend Intelligence is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Spend Intelligence support?
Spend Intelligence is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Spend Intelligence?
It is built and maintained by 1kalin (@1kalin); the current version is v1.0.0.
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