agentsclimarketplace

Financial analyzer

Skill elisaterumi-ai/agent-skills-in-practice/examples/financial-analyzer

Analyzes financial data and generates insights. Use when working with financial reports.From its SKILL.md

Install
npx -y skills add elisaterumi-ai/agent-skills-in-practice --skill financial-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

0.4 KB, 67 tokens by cl100k_base, as published. Nobody here has run it

Instructions

  1. Identify key metrics (revenue, costs, profit)
  2. Analyze trends
  3. Highlight risks or opportunities
  4. Provide insights

Output Format

Summary

Key Metrics

  • Metric 1

Insights

  • Insight 1

Recommendations

  • Action 1

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most finance skills give in 67 tokens

Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07

  • Extract date vendor amount and descriptionin 15 of 469, across 3 files
  • Scan folder for invoice filesin 14 of 469, across 2 files
  • Rename files to standard formatin 14 of 469, across 2 files
  • Show organization plan before movingin 14 of 469, across 2 files
  • Generate summary CSVin 14 of 469, across 2 files
  • Organize files by categoryin 13 of 469, across 1 file
  • Preserve original filesin 13 of 469, across 1 file
  • Flag files missing critical infoin 13 of 469, across 1 file
  • Produce the requested output filein 9 of 469, across 4 files
  • Build best, base, and worst case scenariosin 9 of 469, across 5 files
  • Implement backoff if rate limit errors occurin 8 of 469, across 3 files
  • Determine the weighted average cost of capitalin 8 of 469, across 4 files

Said here and by no other author read

  • identify key metrics
  • analyze trends
  • highlight risks or opportunities
  • provide insights
  • produce a summary section
  • list key metrics

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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