Project Memory logo

Project Memory

Community
jamditis
project-memory

Generates CLAUDE.md project memory files that transfer institutional knowledge. Use when setting up projects or onboarding.

Overview

Publisherjamditis
Repositoryclaude-skills-journalism
Skill nameproject-memory
Stars
397
Forks
64
Bundled files
7
LicenseMIT
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.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Project Memory 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.
  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/jamditis/claude-skills-journalism.git /tmp/claude-skills-journalism
mkdir -p .claude/skills
cp -r /tmp/claude-skills-journalism/project-templates-toolkit/skills/project-memory .claude/skills/project-memory
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Memory 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 Project Memory 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 Project Memory 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.

Project memory generator

Create CLAUDE.md files that transfer institutional knowledge, not obvious information. Think like a senior journalist onboarding a competent colleague, you don't explain how journalism works, you explain YOUR project's quirks.

CLAUDE.md is advisory, not enforced

Anthropic is explicit on this point: CLAUDE.md content is delivered as a user message after the system prompt. Claude reads it and tries to follow it, but there's no guarantee of strict compliance, especially with vague or conflicting instructions. Source: https://code.claude.com/docs/en/memory

This affects how you write a CLAUDE.md and what you put elsewhere:

MechanismUse forSource-of-truth
CLAUDE.mdStanding facts, conventions, "always do X" rulesAdvisory
SkillsMulti-step procedures, on-demand workflowsLoaded when invoked
HooksActions that must happen every time, no exceptionsDeterministic, runs as a shell command (e.g. hooks/one-way-door-check.md) or as a prompt the harness enforces (e.g. hooks/enforce-test-first.md)

If an instruction is "block writes to published/" or "run accessibility check before commit," that belongs in a hook, not CLAUDE.md. If it's "fact-check workflow" or "FOIA-letter drafting," that's a skill. CLAUDE.md is the place for things Claude must hold in every session.

What belongs in CLAUDE.md

Anthropic publishes an explicit include/exclude table for what makes an effective CLAUDE.md. Source: https://code.claude.com/docs/en/best-practices

✅ Include❌ Exclude
Bash commands Claude can't guessAnything Claude can figure out by reading code
Code style rules that differ from defaultsStandard language conventions Claude already knows
Testing instructions and preferred test runnersDetailed API documentation (link to docs instead)
Repository etiquette (branch naming, PR conventions)Information that changes frequently
Architectural decisions specific to your projectLong explanations or tutorials
Developer environment quirks (required env vars)File-by-file descriptions of the codebase
Common gotchas or non-obvious behaviorsSelf-evident practices like "write clean code"

For journalism projects, translate to:

  • Include: AP-style preferences that override defaults, "always cite source URLs," byline policy, embargo handling, source-protection invariants, CMS quirks (e.g., "story slugs must be unique across ALL desks, not just metro").
  • Exclude: "We verify facts before publishing" (every journalist knows this), "use AP Style" without specifics (every journalism stack does this), framework documentation, generic git commands.

The deletion test

For every line you write, ask: "Would removing this cause Claude to make mistakes?" If not, cut it.

Size guidance: target under 200 lines

Anthropic's explicit guidance as of 2026: target under 200 lines per CLAUDE.md file. Longer files consume more context and reduce adherence. Bloated CLAUDE.md files cause Claude to ignore the actual rules. Source: https://code.claude.com/docs/en/best-practices

Going over 200 lines is a signal to use one of these instead:

  • .claude/rules/ with paths: frontmatter, file-pattern-scoped rules that load only when Claude works with matching files. Replaces @import chains as the size-management mechanism. (Note: @imports no longer help with context size, Anthropic explicitly notes that imports load fully at launch.)
  • Skills, for multi-step procedures that don't need to be in every session.
  • Hooks, for deterministic enforcement.

Where to put CLAUDE.md files

CLAUDE.md location precedence (more specific wins). Source: https://code.claude.com/docs/en/memory

ScopeLocationUse case
Managed policyLinux/WSL: /etc/claude-code/CLAUDE.mdmacOS: /Library/Application Support/ClaudeCode/CLAUDE.mdWindows: C:\Program Files\ClaudeCode\CLAUDE.mdOrg-wide standards (IT/DevOps managed; cannot be excluded by individual settings)
Project./CLAUDE.md OR ./.claude/CLAUDE.mdTeam-shared instructions (check into git)
User~/.claude/CLAUDE.mdPersonal preferences across all projects
Local./CLAUDE.local.mdPersonal project-specific notes (add to .gitignore)

The ./.claude/CLAUDE.md location and managed-policy tier are 2026 additions to Anthropic's documented locations. Templates that say "put this at project root" should mention ./.claude/CLAUDE.md as an equally valid location.

AGENTS.md interop

If your repo already has AGENTS.md for other coding agents (Cursor, Codex, etc.), don't duplicate the content. Anthropic's recommended pattern is @AGENTS.md import (or symlink) with Claude-specific overrides appended:

markdown
@AGENTS.md

## Claude Code
- Use plan mode for changes under `src/billing/`.

For journalism teams using multiple agents, this matters, shared editorial standards (AP-style preferences, source-handling invariants, fact-check protocols) belong to the org, not one agent.

Anti-patterns to warn about

Anthropic now names these explicitly. Source: https://code.claude.com/docs/en/best-practices and https://code.claude.com/docs/en/memory

  1. The over-specified CLAUDE.md. Bloat causes Claude to ignore real rules. If Claude keeps doing something despite a CLAUDE.md rule, the file is probably too long and the rule is getting lost.
  2. Conflicting instructions across nested CLAUDE.md files. Claude picks one arbitrarily. Review periodically to remove outdated rules.
  3. Hand-coded standard conventions Claude already knows. "Use proper indentation," "write clean code", delete.
  4. Detailed API docs / file-by-file descriptions / info that changes frequently. Link to the canonical source instead.
  5. Secrets in CLAUDE.md. It's checked into git. Use CLAUDE.local.md (gitignored) for sandbox URLs, test credentials, personal overrides.

Minimum-viable CLAUDE.md (~6 lines)

Anthropic ships this as the canonical starter. Templates should default to something this short and grow only as needed:

markdown
# Code style
- Use ES modules (import/export) syntax, not CommonJS (require)
- Destructure imports when possible

# Workflow
- Be sure to typecheck when you're done making a series of code changes
- Prefer running single tests, and not the whole test suite, for performance

Each of the 6 journalism templates ships a sub-30-line "starter" variant alongside the fuller version. Adopt incrementally.

Auto memory is separate from CLAUDE.md

As of Claude Code v2.1.59+, there's a second memory mechanism alongside CLAUDE.md: auto memory, where Claude writes notes to itself in ~/.claude/projects/<project>/memory/ based on your corrections. The first 200 lines of that directory's MEMORY.md are loaded into every session. Source: https://code.claude.com/docs/en/memory

Practical implication for templates: don't ask the user to manually write down "things Claude learns over time", that's auto memory's job now. CLAUDE.md is for facts you write up front; auto memory is for things Claude notices.

Voice guidelines

  • Direct and terse
  • Like notes you'd leave for yourself
  • No marketing language
  • No "Welcome to..." introductions
  • No "This project is..." padding

Example: good vs bad

Bad (too verbose, obvious):

markdown
# CLAUDE.md

## Overview
Welcome to our newsroom's story tracking system! This is a
web application built with React and Node.js that helps
editors and reporters collaborate on stories.

## Getting started
First, make sure you have Node.js installed. Then:
npm install
npm start

Good (institutional knowledge only):

markdown
# CLAUDE.md

## Overview
Story tracker for metro desk. React + Supabase.

## Gotchas
- Story slugs must be unique across ALL desks, not just metro
- "Hold" status doesn't stop the autopublish cron, use "Kill"
- Reporter dropdown caches for 1 hour; new hires won't appear

## Commands
npm run sync-ap  # Pull latest from AP, runs automatically at :15

## Credentials
Supabase key in 1Password "Metro Desk" vault, not .env

Journalism-specific templates

Templates are in the templates/ directory:

TemplateUse for
editorial-tool.mdNewsroom tools, fact-checkers, AI assistants
event-website.mdConferences, workshops, campaign sites
publication.mdNewsletters, podcasts, ongoing content series
research-project.mdInvestigations, data journalism with defined scope
content-pipeline.mdCMS workflows, publishing automation
digital-archive.mdHistorical collections, document repositories

Template selection guide

What are you building?
├── Tool for the newsroom → editorial-tool.md
├── Site for an event → event-website.md
├── Recurring content series → publication.md
├── One-time investigation → research-project.md
├── Publishing automation → content-pipeline.md
└── Archive/preservation → digital-archive.md

How to use templates

  1. Copy the appropriate template to ./CLAUDE.md OR ./.claude/CLAUDE.md at your project root
  2. Fill in the bracketed placeholders with YOUR specifics
  3. Delete any sections that don't apply
  4. If your project uses other agents (Cursor, Codex), add @AGENTS.md at the top instead of duplicating shared content
  5. Add project-specific gotchas as you discover them, but stay under 200 lines
  6. Move multi-step procedures to skills, deterministic enforcement to hooks

Last currency sweep

2026-05-09. Sources verified: code.claude.com/docs/en/memory, code.claude.com/docs/en/best-practices.


The best CLAUDE.md files are written by people who've been burned by the quirks they're documenting.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Project Memory AI skill do?

Generates CLAUDE.md project memory files that transfer institutional knowledge. Use when setting up projects or onboarding.

Why use Project Memory on TypingMind?

Because you install it once and use it with any model. Project Memory 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 Project Memory in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jamditis/claude-skills-journalism/tree/master/project-templates-toolkit/skills/project-memory. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Project Memory?

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 Project Memory?

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

Is the Project Memory AI skill free?

Yes. It is published on GitHub by jamditis under the MIT license. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇