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Money Report

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iamzifei
money-report

Generate a deliverable markdown report by merging all /money-save snapshots for a project. Produces a shareable, dated document at ~/.smtm/reports/{project}/. Useful for sharing progress with co-founders, advisors, investors, or for personal review weeks/months later. Use when the user wants to package up accumulated state into a readable artifact. Triggered by: 'package this up', 'make me a report', 'export for partner', 'give me the deliverable', '出报告', '打包', '整理一份', '给合伙人看的'.

Overview

Publisheriamzifei
Repositoryshow-me-the-money
Skill namemoney-report
Stars
1K
Forks
159
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by iamzifei on GitHub. Read the source before you install it.

Installation

Install the Money Report AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/iamzifei/show-me-the-money/tree/master/skills/money-report
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/iamzifei/show-me-the-money.git /tmp/show-me-the-money
mkdir -p .claude/skills
cp -r /tmp/show-me-the-money/skills/money-report .claude/skills/money-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Money Report in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Money Report on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Money Report is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/money-report — Deliverable Business Report

Your job is to merge all /money-save snapshots from a project's session directory into one coherent, shareable markdown report.

The report is not your synthesis from conversation memory. You only read the snapshot files in ~/.smtm/sessions/{project}/ and combine them by date, deduplicating where conclusions repeat or got revised. This is the report's credibility — it's a curated record of the user's confirmed state, not AI-generated narrative.


Why this exists

Snapshots solve the cross-session memory problem, but they're scattered across many files. When the user wants to:

  • Send their commercial partner the current state of a business
  • Review with an advisor what's been validated and what's been ruled out
  • Look back in 6 months at how their thinking evolved
  • Hand off context to a contractor or co-founder

…they need one file, not a folder of timestamped fragments. That's the report.


Triggers

CommandBehavior
/money-reportMerge all snapshots in the current project into a report
/money-report --since YYYY-MM-DDOnly include snapshots newer than the given date
/money-report --slug <project>Specify a non-default project
/money-report --slug <project> --since YYYY-MM-DDCombined

Natural-language equivalents (any of these → run /money-report):

  • English: "package this up", "make me a report", "export for my partner", "give me the deliverable", "summarize the journey"
  • 中文: "出报告", "打包", "整理一份", "给合伙人看的", "做个总结发出去"

Workflow

Step 1 — Verify there's enough material

Find all *.md files in ~/.smtm/sessions/{project}/.

Snapshot countBehavior
0"No snapshots saved for {project}. Run /money-save after a few diagnostic conversations, then come back."
1"Only 1 snapshot for {project}. A single snapshot doesn't need a merge — read it directly at ~/.smtm/sessions/{project}/{filename}.md. Force a report anyway?" — wait for user confirmation.
≥2Proceed

If --since is set, filter first. If the filtered set has <2 files, apply the same rule.

Step 2 — Load and sort

Read every snapshot, parse YAML frontmatter and the 6 body sections.

Sort by filename YYYYMMDD-HHMMSS prefix, oldest → newest. Do not trust file mtime.

If any single file is malformed, log a warning and skip it — don't abort the whole report.

Step 3 — Build the output path

~/.smtm/reports/{project}/{YYYYMMDD-HHMMSS}-{project}.md

mkdir -p first. Each report is a new file — never overwrite a prior report. The timestamp in the filename lets the user diff or review historical reports.

Step 4 — Compose the report

Use this fixed structure. The fields you generate (titles, summaries, evolution-narrative paragraphs) should be drawn directly from the snapshots, not invented.

markdown
# {project} — Business Report

**Generated**: {now, formatted as 2026-05-03 14:23 local time}
**Snapshots merged**: {N} (from {oldest snapshot date} to {newest snapshot date})
**Skills active**: {dedup union of all source_skill values}

---

## 1. How the focus has evolved

List each snapshot in chronological order, one line each:

- `2026-04-15` · {one-line restatement of the snapshot's "Business state"} · from {source_skill}
- `2026-04-22` · {one-line restatement} · from {source_skill}
- ...

After the list, write **one paragraph** describing how the focus shifted — e.g., "From validating the API tier pricing in mid-April, the focus moved to ruling out the enterprise pivot in late April, and by early May had shifted to MVP scope freezing for the launch window."

This single paragraph is the *only* place in the report where you synthesize. Do not editorialize, infer, or extrapolate beyond what the snapshots show.

---

## 2. Confirmed conclusions

Merge every "Confirmed conclusions" entry across all snapshots. Deduplicate by semantic similarity. Sort newest first.

Format:

- {conclusion} · from `{snapshot title}` · {snapshot date}

If a conclusion in an *earlier* snapshot was contradicted or revised by a *later* one:
- List the newer version first
- List the older version second with `(superseded by {newer snapshot title} on {date})` appended

Example:

- **Pricing locked at $29 / month per seat** · from `pricing locked at $29` · 2026-05-01
- **Pricing should be $19 / month per seat** · from `early pricing thinking` · 2026-04-12 *(superseded by `pricing locked at $29` on 2026-05-01)*

---

## 3. Ruled out

Merge every "Ruled out" entry across all snapshots. Deduplicate.

- {direction} · from `{snapshot title}` · {snapshot date}

This list is sticky — if it was ruled out, it stays ruled out unless a later snapshot explicitly revives it. If a later snapshot revives a prior ruled-out direction, both entries stay, with a `(reopened on {date})` annotation on the original.

---

## 4. Open hypotheses

Merge "Open hypotheses" entries. **Skip any hypothesis that was later confirmed or ruled out** — those moved to sections 2 or 3.

- {hypothesis} · {test plan if present} · from `{snapshot title}`

Only show hypotheses that are still genuinely open in the most recent snapshot.

---

## 5. The current next move

Pull the "Next move" section verbatim from the **most recent snapshot only**. Older next-moves are obsolete by definition.

Append the recommended next skill: `Recommended next skill: {next_skill from the most recent snapshot}`.

---

## 6. Appendix — Source snapshots

For traceability, list every snapshot file merged:

- `{filename}` — `{title}` — {timestamp} — {status}
- ...

---

*Report generated by `/money-report` from `~/.smtm/sessions/{project}/`. To regenerate after new snapshots, run `/money-report` again.*

Step 5 — Confirm to the user

✅ Report generated.
File: ~/.smtm/reports/{project}/{filename}.md
Snapshots merged: {N}

Edge cases

  • Snapshot referencing a custom field not in the schema → ignore the field, use the standard ones. Do not error.
  • Conflicting timestamps (two snapshots claim same second) → keep both, sort by full filename.
  • A snapshot's frontmatter status is abandoned → still include in the report, but flag the snapshot's contribution with (abandoned) next to its title in section 1.
  • User wants to share externally and a snapshot contains sensitive info (revenue numbers, customer names) → not your concern. The snapshots are the user's authored content. Don't auto-redact.

Principles

  • Curated, not generated — Every claim in the report must be traceable to a snapshot file. No invention.
  • Time-aware — Newer overrides older. Show the trajectory.
  • One paragraph of synthesis — In section 1, you may describe the evolution path. Nowhere else.
  • Append-only — Each report is a new dated file. Diffing reports across time is itself a feature.
  • Match user's language — If the snapshots are mostly Chinese, the report is in Chinese. If mixed, default to the user's current language and quote source content verbatim.

Value Quantification (Required After Successful Report Generation)

After confirming the report was written, append:

markdown
---

### 📊 What this report is worth

- 📄 **Generated** — A merged report from {N} snapshots, spanning {oldest date} to {newest date}
- ⏱ **Time to produce manually** — ~3-6 hours of digging through old conversation transcripts and summarizing yourself
- 🤝 **Shareable with** — Co-founders, advisors, investors, contractors, or your future self
- 🚧 **Without this skill** — The {N} decisions you've made over weeks/months stay scattered across chat transcripts that get auto-deleted by the agent harness — and your trajectory is invisible to anyone but you

If the report is the user's first one for this project, append:

💡 First report for {project}. Future reports use the same format and live alongside this one in ~/.smtm/reports/{project}/. Diffing two reports across time is itself a feature — it shows your trajectory.

If the report contains contradictions (a later snapshot superseded an earlier one), surface this:

🔄 Trajectory note: Your thinking shifted on {N} topics over this period. The report shows both the current decision and the prior version it replaced. This is useful — it's evidence of learning, not flip-flopping.

Frequently asked questions

What does the Money Report AI skill do?

Generate a deliverable markdown report by merging all /money-save snapshots for a project. Produces a shareable, dated document at ~/.smtm/reports/{project}/. Useful for sharing progress with co-founders, advisors, investors, or for personal review weeks/months later. Use when the user wants to package up accumulated state into a readable artifact. Triggered by: 'package this up', 'make me a report', 'export for partner', 'give me the deliverable', '出报告', '打包', '整理一份', '给合伙人看的'.

Why use Money Report on TypingMind?

Because you install it once and use it with any model. Money Report is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Money Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/iamzifei/show-me-the-money/tree/master/skills/money-report. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Money Report?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Money Report?

As many as you like. As long as a model supports skills, you can use Money Report with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Money Report AI skill free?

It is published on GitHub by iamzifei. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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