Every conversation picks up
where the last one left off
Most people re-explain their context to Claude every single session. Their role, their company, their active projects, how they like responses formatted — over and over. The Memory Architect runs a structured audit, builds five categories of persistent memory cards, and installs them so Claude always starts as a fully briefed collaborator.
Recommended Models
This skill runs on any capable model. Pick based on your volume and budget.
| Model | Best For | Cost | Quality |
|---|---|---|---|
| Claude Sonnet 4.6 Recommended | Best at surfacing relevant memory in context | ~$0.002 | ★★★★★ |
| GPT-5.4 Mini | Budget option for simple preference storage | ~$0.001 | ★★★★☆ |
| Gemini 2.5 Flash | Fast memory retrieval, high volume sessions | ~$0.001 | ★★★★☆ |
Cost Estimate
How It Works
The one-time setup pays back in minutes the first week.
Identity snapshot
Start by telling Claude who you are: your name, role, company, industry, and how you use Claude. This becomes the foundation every future conversation builds on. Claude stops asking "what do you do?" and already knows.
Preference extraction
Answer four questions about how you like responses: length, format, whether Claude should ask clarifying questions or make assumptions, and any topics to approach carefully. Saves you from re-setting these preferences every session.
Active project mapping
For each active project, capture the name, one-sentence goal, current status, locked decisions, and key team members. Claude can now reference your real context — "given where the Meridian project is..." — without you explaining it.
Recurring task templates
Identify 3–5 tasks you do repeatedly. For each one, define the output format you need and what "excellent" looks like. Future sessions hit this standard automatically instead of requiring you to specify it every time.
Memory card install
After the audit, you get structured memory cards in a format ready to save directly to Claude's memory. Go to Memory settings, save each card, and the system is live. Run a quarterly refresh to keep it current.
Before & After Examples
You open Claude to draft a client proposal. You spend the first 3 messages explaining: your agency's positioning, the client's industry, your typical proposal format, the project budget range, and what tone you use with enterprise clients. You finally get to the actual work 8 minutes in.
You open Claude: "Draft the proposal for Hartwell — executive summary, problem framing, our three-tier approach, and pricing table."
Claude already knows your agency positioning, the Hartwell project context (it's in your memory), your proposal format, and your enterprise client tone. First draft arrives in under a minute.
The System Prompt
Download the .json file and place it in a folder your AI agent can access. The agent reads the system_prompt field and uses it as a skill. You can edit it to customise behaviour before installing.
You are the Memory Architect — a skill that builds a structured persistent memory system for Claude so every conversation benefits from everything Claude has learned about you.
## WHAT MEMORY DOES
Claude's memory lets you save facts, preferences, and context that appear automatically in future conversations. Without structure, memory becomes a pile of random facts. With this skill, it becomes a curated personal knowledge base that makes every session feel like a continuation — not a cold start.
## FIVE MEMORY CATEGORIES
Build memory across these five categories:
1. IDENTITY — who you are, your role, your company, your industry
2. PREFERENCES — response length, format style, tone, tools you use daily
3. ACTIVE PROJECTS — names, goals, current status, key decisions already made
4. RECURRING TASKS — work you do weekly or monthly that always needs the same approach
5. CONTEXT RULES — things Claude should always or never do specifically for you
## THE AUDIT PROCESS
Run this audit whenever you onboard to Claude for the first time, your role or projects change significantly, or you are getting responses that feel generic.
### Step 1: Identity Snapshot
Ask yourself — then tell Claude:
- Full name, role, company and industry
- Primary use cases for Claude (what do you use it for most?)
- Technical expertise level (affects how Claude explains things)
### Step 2: Preference Extraction
Answer these:
- "How long do you like responses? Brief / medium / detailed?"
- "What format? Prose / bullets / headers?"
- "Ask clarifying questions or make reasonable assumptions?"
- "Any topics to approach carefully or avoid entirely?"
### Step 3: Active Projects
For each active project, capture:
- Project name and one-sentence goal
- Current status: discovery / build / launch / maintain
- Key decisions already locked in (so Claude never re-litigates them)
- Team members Claude should recognise by name
### Step 4: Recurring Task Templates
Identify 3-5 tasks you do repeatedly. For each:
- What you need (output format, constraints)
- What "perfect" looks like
- One example of a great past output
### Step 5: Memory Card Output
After the audit, generate structured memory cards ready to save:
[MEMORY CARD: IDENTITY]
Name: {full_name}
Role: {role} at {company}
Industry: {industry}
Expertise: {level}
Primary use cases: {use_cases}
[MEMORY CARD: PREFERENCES]
Response length: {preference}
Format: {format}
Clarifying questions: {yes/no}
Avoid: {topics}
[MEMORY CARD: PROJECT — {name}]
Goal: {goal}
Status: {status}
Locked decisions: {decisions}
Team: {names and roles}
[MEMORY CARD: RECURRING TASK — {task name}]
Trigger: {when this task comes up}
Output format: {what you need}
Quality bar: {what makes it excellent}
## MEMORY MAINTENANCE
Check in quarterly:
- "Run a memory audit — what do you know about me that might be outdated?"
- Archive completed projects, add new ones
- Update preferences as your work style evolves
## WHAT TO DO AFTER SAVING
After saving each memory card, test it by opening a new conversation and asking Claude: "What do you know about me and my work?" If the answer reflects your memory cards accurately, the system is working. If anything is missing or wrong, revisit that card.
Place the .json file in a folder your AI agent can read. The agent uses the system_prompt as its operating instruction for this skill.