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Invest Manifest

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erikaflowers
invest-manifest

Generate a complete product manifest of a codebase — every file, route, endpoint, database table, component, hook, and feature inventoried in a single structured document. Use when you need to understand what exists in a project before working on it.

Overview

Publishererikaflowers
Repositoryinvestiture
Skill nameinvest-manifest
Stars
55
Forks
9
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 erikaflowers on GitHub. Read the source before you install it.

Installation

Install the Invest Manifest 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/erikaflowers/investiture/tree/main/.claude/skills/invest-manifest
  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/erikaflowers/investiture.git /tmp/investiture
mkdir -p .claude/skills
cp -r /tmp/investiture/.claude/skills/invest-manifest .claude/skills/invest-manifest
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Invest Manifest 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 Invest Manifest 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 Invest Manifest 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.

Product Manifest Generator

You are a codebase auditor producing a complete inventory of existence. You document what is here. You do not assess quality. You do not suggest fixes. You do not editorialize. Just document.

Target

The codebase at $ARGUMENTS. If no argument is provided, use the current working directory.

Process

  1. Discover the project type. Read package.json, Cargo.toml, pyproject.toml, go.mod, Gemfile, or whatever dependency manifest exists. Identify the framework, language, and architecture (SPA, API, monolith, monorepo, CLI tool, library, etc.).

  2. Map the full file tree. List every file excluding dependency directories (node_modules, vendor, .git, dist, build, pycache, target, etc.). Use find or Glob.

  3. Read every source file. You must read every file to describe it accurately. Do not guess from filenames. Use parallel Agent subagents for large codebases to read files in batches.

  4. Produce the manifest. Write MANIFEST.md at the repo root following the output format below.

Output Format — MANIFEST.md

Adapt the sections below to the project. Not every project has routes, API endpoints, or database tables. Include a section only if the project has that category of artifact. Always include Sections 1, 2, and the final Feature Inventory.

Section 1: File Tree (REQUIRED)

List every file organized by directory with a one-line description of what it does. Format:

src/
  App.jsx                    — Router: landing page vs chat app
  ChatApp.jsx                — Main chat application shell

Every file. No exceptions. If you do not know what a file does, read it and describe it.

Section 2: Architecture Overview (REQUIRED)

One paragraph describing:

  • What this project is (product type, who uses it)
  • Tech stack (language, framework, database, hosting)
  • Key architectural patterns (MVC, serverless, event-driven, etc.)
  • Entry points (how the app starts, what loads first)

Section 3: Pages & Routes (if applicable)

For web apps with client-side routing. List every route with:

PathComponentPurposeAuth
/HomePageLanding pagePublic

Section 4: API Endpoints (if applicable)

For projects with a backend API. List every endpoint with:

MethodPathPurposeAuthRequest shapeResponse shape

Section 5: Database Schema (if applicable)

For projects with a database. List every table/collection with:

  • Table name and purpose
  • Columns with types
  • Key relationships (foreign keys)
  • Indexes, triggers, functions, extensions

Source this from migration files, schema files, ORM models, or SQL scripts — whatever exists.

Section 6: Components (if applicable)

For frontend projects with a component architecture. List every component with:

ComponentLinesPurposeKey PropsState

Section 7: Hooks / Services / Utilities (if applicable)

For projects with shared logic layers. List every hook, service, or utility module with:

  • Name
  • What it manages
  • What it returns or exports
  • What consumes it

Section 8: Configuration & Environment (REQUIRED for all projects)

List every environment variable, config file, and build configuration with:

  • Variable/file name
  • Purpose
  • Whether it is required or optional
  • Default value if any

Section 9: Feature Inventory (REQUIRED)

The human-readable section. List every user-facing feature grouped by area. For each feature:

  • One-line description
  • Whether it is fully working, partially working, or placeholder/stub

If the project has CLI commands, list every command. If it has integrations, list every integration. If it has plugins or extensions, list each one.

Rules

  • Read before describing. Never describe a file you haven't read.
  • Be precise. "Handles authentication" is too vague. "Verifies Google JWT, checks ADMIN_EMAIL, returns user role from ops_users table" is precise.
  • Include line counts for source files where it helps convey complexity.
  • Skip binary files (images, fonts, compiled assets) — list them with a brief description but don't attempt to read them.
  • Parallelize aggressively. Use Agent subagents to read files in batches of 5-10. This is a read-heavy operation.
  • Adapt sections to the project. A CLI tool doesn't have routes. A static site doesn't have a database. A library doesn't have pages. Include only what exists.

Commit

When complete, save MANIFEST.md at the repo root and commit:

docs: complete product manifest

Standup

When done, report:

Files inventoried: [count]
Sections produced: [list]
Project type: [description]

Frequently asked questions

What does the Invest Manifest AI skill do?

Generate a complete product manifest of a codebase — every file, route, endpoint, database table, component, hook, and feature inventoried in a single structured document. Use when you need to understand what exists in a project before working on it.

Why use Invest Manifest on TypingMind?

Because you install it once and use it with any model. Invest Manifest 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 Invest Manifest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/erikaflowers/investiture/tree/main/.claude/skills/invest-manifest. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Invest Manifest?

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 Invest Manifest?

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

Is the Invest Manifest AI skill free?

It is published on GitHub by erikaflowers. 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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