claude-usage-analyst
An agent skill by daymade, from daymade/claude-code-skills. Tags: analysis, analytics, claude-code, cost-optimization, usage.
What it does
Analyze Claude Code and Claude Desktop Code token usage, cost, quota burn, model mix, cache read/write, and 5-hour block consumption using ccusage evidence. Use when the user asks why Claude quota was exhausted, whether a model such as fable/opus/sonnet is unusually expensive, how many tokens were spent today or historically, or needs a human-friendly explanation of local Claude Code CLI/Desktop usage.
Install
With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:
npx skills add daymade/claude-code-skills --skill claude-usage-analyst
Or copy the skill folder into Claude Code's skills directory by hand (~/.claude/skills for every project, or .claude/skills inside one):
git clone --depth 1 https://github.com/daymade/claude-code-skills
cp -r claude-code-skills/daymade-claude-code/claude-usage-analyst ~/.claude/skills/claude-usage-analyst
Safety box score
Not rated yet. A safety box score grades what a skill and its scripts can reach on the machine of whoever installs it, across eight categories from shell execution to secrets access. Anyone can request one from this page; it is saved for everyone. How the score works.
Source
- Repository
- daymade/claude-code-skills (all skills from this repository)
- Path
- daymade-claude-code/claude-usage-analyst/SKILL.md
- Branch
- main
- Updated
- 2026-09-20
Related skills
- agents-optimize — Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization.
- aws-billing-and-cost-management — Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer.
- tibo-reset-codex — 查询 ChatGPT/Codex 重置公告及多个 Pro 账号的剩余额度、备用 Full reset;复用 Google 登录逐个核实并恢复网页账号,换算北京时间。区分 Tibo 官宣、未官宣的平台静默重置、banked reset 与账户级周期重置。Use when.
- ab-testing — When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
- ads — When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.
- ai-seo — When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers.