Technical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
SaaS业务财务分析助手：接收MRR、客户数、获客成本等原始数据，计算ARR、流失率、LTV、CAC、NRR等关键指标，对标行业基准，并生成结构化的健康报告与优先行动建议。当用户提供收入或客户数据，或询问涉及ARR、MRR、流失率、LTV、CAC、NRR等指标的业务健康状况时触发。
Install SaaS Analyzer
$ npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI saas-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/saas-analyzer .claude/skills/saas-analyzer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "saas-analyzer" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/saas-analyzer into .claude/skills/saas-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/saas-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI saas-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SKILLs/saas-analyzer .agents/skills/saas-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "saas-analyzer" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/saas-analyzer into .agents/skills/saas-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI saas-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SKILLs/saas-analyzer .cursor/skills/saas-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "saas-analyzer" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/saas-analyzer into .cursor/skills/saas-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rongxinzy/RongxinAI.git --path SKILLs/saas-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI saas-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SKILLs/saas-analyzer .gemini/skills/saas-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "saas-analyzer" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/saas-analyzer into .gemini/skills/saas-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rongxinzy/RongxinAI saas-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/SKILLs/saas-analyzer .github/skills/saas-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "saas-analyzer" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/saas-analyzer into .github/skills/saas-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rongxinzy/RongxinAI saas-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SKILLs/saas-analyzer .opencode/skills/saas-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "saas-analyzer" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/saas-analyzer into .opencode/skills/saas-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
saas-analyzer- GitHub stars
- 154
- Token cost
- ~803 tokens
- SKILL.md length
- 156 words
- Files
- 10 (incl. scripts, references, assets)
- Skills in repo
- 94
- Repo updated
- First seen
- Licence
- MIT
At a glance
SaaS业务财务分析助手：接收MRR、客户数、获客成本等原始数据，计算ARR、流失率、LTV、CAC、NRR等关键指标，对标行业基准，并生成结构化的健康报告与优先行动建议。当用户提供收入或客户数据，或询问涉及ARR、MRR、流失率、LTV、CAC、NRR等指标的业务健康状况时触发。
- Works in 3 steps: 指标计算器（scripts/metrics_calculator.py） → Quick Ratio… → 单位经济模型模拟器（scripts/unit_economics_simulato…
- Business, Finance & HR work in your project
- SKILL.md covers 第一步 — 收集输入信息, 第二步 — 计算指标, 第三步 — 对标每项指标 and 第四步 — 排列优先级并给出建议, plus 5 more sections
- Runs Python scripts from its folder; calls python
What it does
SaaS Analyzer is an agent skill from rongxinzy/RongxinAI. SaaS业务财务分析助手：接收MRR、客户数、获客成本等原始数据，计算ARR、流失率、LTV、CAC、NRR等关键指标，对标行业基准，并生成结构化的健康报告与优先行动建议。当用户提供收入或客户数据，或询问涉及ARR、MRR、流失率、LTV、CAC、NRR等指标的业务健康状况时触发。
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `assets/input-template.md`, `references/benchmarks.md` and `references/formulas.md`).
It sits in Business, Finance & HR. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is MIT.
When your agent uses it
- Business, Finance & HR work in your project
Example prompts
- “/saas-analyzer”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
SaaS Analyzer loads about 803 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 156 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its MIT licence (© rongxinzy). 156 words, ~803 tokens.
Download SKILL.mdSave it as
.claude/skills/saas-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.- name
- saas-analyzer
- description
- SaaS业务财务分析助手：接收MRR、客户数、获客成本等原始数据，计算ARR、流失率、LTV、CAC、NRR等关键指标，对标行业基准，并生成结构化的健康报告与优先行动建议。当用户提供收入或客户数据，或询问涉及ARR、MRR、流失率、LTV、CAC、NRR等指标的业务健康状况时触发。
- license
- MIT
- metadata.version
- 1.0.0
- metadata.author
- Abbas Mir
- metadata.category
- finance
- metadata.updated
- 2026-03-08
SaaS 指标教练
扮演一位资深 SaaS 首席财务官顾问。接收原始业务数据，计算关键健康指标，对标行业基准，并用通俗易懂的语言给出按优先级排序的可执行建议。
第一步 — 收集输入信息
如果用户尚未提供，请在一次请求中统一询问以下信息：
- 收入：当前 MRR、上月 MRR、扩展 MRR、流失 MRR
- 客户：活跃客户总数、本月新增客户数、本月流失客户数
- 成本：销售和营销支出、毛利率 %
可以在数据不完整的情况下工作。需明确说明哪些数据缺失，以及做了哪些假设。
第二步 — 计算指标
使用用户输入的数据运行 scripts/metrics_calculator.py。如果脚本不可用，则使用 references/formulas.md 中的公式进行计算。
始终尝试计算以下指标：ARR、MRR 月环比增长率、月流失率、CAC、LTV、LTV:CAC 比率、CAC 回本周期、NRR。
额外分析工具：
- 当有扩展/流失 MRR 数据时，使用
scripts/quick_ratio_calculator.py - 使用
scripts/unit_economics_simulator.py进行前瞻性预测
第三步 — 对标每项指标
加载 references/benchmarks.md。对每项指标展示：
- 计算值
- 用户所在细分市场和阶段对应的基准范围
- 简明的状态标签：健康 / 关注 / 危急
根据用户的目标市场（企业级 / 中端市场 / 中小企业 / PLG 产品驱动增长）和公司阶段（早期 / 成长期 / 规模化）匹配基准档位。如果不确定，需主动询问。
第四步 — 排列优先级并给出建议
找出处于"关注"或"危急"状态的前 2-3 项指标。对每项说明：
- 正在发生什么（一句话，通俗表述）
- 对业务的影响
- 本月可采取的两到三项具体行动
按影响程度排序——优先解决最具破坏性的问题。
第五步 — 输出格式
始终使用以下固定结构：
# SaaS 健康报告 — [年月]
## 指标一览
| 指标 | 你的数值 | 基准范围 | 状态 |
|------|----------|----------|------|
## 整体概况
[2-3 句话的通俗总结]
## 优先问题
### 1. [指标名称]
正在发生什么：...
为什么重要：...
本月改进措施：...
### 2. [指标名称]
...
## 表现良好的方面
[1-2 个真实的优势，不要凑数]
## 90 天聚焦目标
[锁定一个核心指标 + 具体的数值目标]示例
示例 1 — 部分数据
输入："MRR 是 $80k，我们有 200 个客户，每月大概有 3 个取消。"
预期输出：计算出 ARPA（$400）、月流失率（1.5%）、ARR（$960k）、LTV 估算值。标注 CAC 和增长率数据缺失。针对影响最大的缺失数据提出一个聚焦的追问。
示例 2 — 危急场景
输入："MRR $22k（上月 $23.5k），80 个客户，流失 9 个，新增 6 个，广告花了 $15k，毛利率 65%。"
预期输出：标注月环比增长为负（-6.4%）、流失率危急（11.25%）、LTV:CAC 为 0.64:1 均为"危急"。建议在进一步增加获客投入之前，将降低流失率作为最高优先级行动。
核心原则
- 直言不讳。如果某项指标表现差，就直说。
- 展示数值前，先用一句话解释每个指标的含义。
- 优先问题最多列三项。超过三项会让人无所适从。
- 场景决定基准。5% 的流失率对企业级 SaaS 来说是灾难性的，但对中小企业/PLG 模式来说很正常。给出评分前务必确认用户的目标市场。
参考文件
references/formulas.md— 所有指标公式及计算示例references/benchmarks.md— 按阶段和市场细分的行业基准范围assets/input-template.md— 可分享给用户的空白输入模板scripts/metrics_calculator.py— 核心指标计算器（ARR、MRR、流失率、CAC、LTV、NRR）scripts/quick_ratio_calculator.py— 增长效率指标（Quick Ratio）scripts/unit_economics_simulator.py— 12 个月前瞻性预测
工具
1. 指标计算器（scripts/metrics_calculator.py）
从原始业务数据计算核心 SaaS 指标。
# 交互模式
python scripts/metrics_calculator.py
# 命令行模式
python scripts/metrics_calculator.py --mrr 50000 --customers 100 --churned 5 --json2. Quick Ratio 计算器（scripts/quick_ratio_calculator.py）
增长效率指标：（新增 MRR + 扩展 MRR）/（流失 MRR + 收缩 MRR）
python scripts/quick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --contraction 500
python scripts/quick_ratio_calculator.py --new-mrr 10000 --expansion 2000 --churned 3000 --json基准参考：
- < 1.0 = 危急（流失速度超过增长速度）
- 1-2 = 关注（增长边际化）
- 2-4 = 健康（效率良好）
- > 4 = 优秀（增长强劲）
3. 单位经济模型模拟器（scripts/unit_economics_simulator.py）
基于增长/流失假设，预测未来 12 个月的指标走势。
python scripts/unit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000
python scripts/unit_economics_simulator.py --mrr 50000 --growth 10 --churn 3 --cac 2000 --json适用场景：
- "如果我们每月增长 X% 会怎样？"
- 资金跑道预测
- 情景规划（乐观/基准/悲观）
© rongxinzy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 9 other files (scripts, references, assets) in SKILLs/saas-analyzer of rongxinzy/RongxinAI.
- SKILL.md
- LICENSE
- assets/input-template.md
- references/benchmarks.md
- references/formulas.md
- scripts/metrics_calculator.py
- scripts/quick_ratio_calculator.py
- scripts/unit_economics_simulator.py
- zhiyuan/icon.png
- zhiyuan/metadata.yaml
Open the folder on GitHubat commit 9c64865
Compare with similar skills
SaaS Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| SaaS Analyzer this skillrongxinzy/RongxinAI | 154 | — | ~803 | Automated safety check: Pass | MIT | |
| Technical Analysttradermonty/claude-trading-skills | 3k | 4 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Theme Detectortradermonty/claude-trading-skills | 3k | 2 repos | ~4.9k | Automated safety check: Pass | MIT | |
| Creating Financial ModelsChen-zexi/open-ptc-agent | 729 | 3 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Stock APIzhangxiangliang/stock-api | 2k | — | ~507 | Automated safety check: Pass | MIT | |
| Itr Walakaranb192/itr-wala | 871 | — | ~3.6k | Automated safety check: Pass | MIT |
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Categories
Questions about SaaS Analyzer
What does SaaS Analyzer do?
SaaS业务财务分析助手：接收MRR、客户数、获客成本等原始数据，计算ARR、流失率、LTV、CAC、NRR等关键指标，对标行业基准，并生成结构化的健康报告与优先行动建议。当用户提供收入或客户数据，或询问涉及ARR、MRR、流失率、LTV、CAC、NRR等指标的业务健康状况时触发。. SaaS Analyzer is an agent skill from rongxinzy/RongxinAI.
When should I use SaaS Analyzer?
SaaS Analyzer fits situations like: business, Finance & HR work in your project.
How do I install SaaS Analyzer in Claude Code?
Run `npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a claude-code`. Or copy the skill folder (SKILLs/saas-analyzer in rongxinzy/RongxinAI) into .claude/skills/saas-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install SaaS Analyzer in Codex?
Run `npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a codex`. Or copy the skill folder (SKILLs/saas-analyzer in rongxinzy/RongxinAI) into .agents/skills/saas-analyzer in your project. Codex loads it when a task matches its description.
Can I use SaaS Analyzer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rongxinzy/RongxinAI --skill saas-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/saas-analyzer, .gemini/skills/saas-analyzer, .github/skills/saas-analyzer and .opencode/skills/saas-analyzer in your project.
What does SaaS Analyzer need to run?
Going by SKILL.md and its folder, SaaS Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does SaaS Analyzer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is SaaS Analyzer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does SaaS Analyzer use?
SaaS Analyzer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does SaaS Analyzer use?
About 803 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.3k tokens, read only when the agent opens those files.
What are the alternatives to SaaS Analyzer?
Skills that share tags, products or a category with SaaS Analyzer: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains SaaS Analyzer?
rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.
Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.