Detected promise
Claude Code Mastery — Prompt Pack (24 Memo Prompts + Templates from Basics to Production)
Reconstructed contract
prompt pack
This is the “guide/prompt pack” the post tried to comment/DM-gate: 24 copy‑ready prompts that turn each talk topic into a reusable memo you can run inside Claude/Claude Code while building real projects. You’ll get: (1) a single reusable CLAUDE.md template, (2) a standard “memo prompt” format, (3) 24 prompts mapped to the learning path (foundations → production), and (4) checklists and rubrics to ship safely. No web research was used—this resource is generated from the pasted post context.
Resource without ritual
The promised resource, no comment required
How to use this prompt pack (10-minute setup)
1) Create/verify your project’s CLAUDE.md (template below) at repo root.
2) For each module, paste the prompt into Claude (or Claude Code) and answer the questions it asks. Save the output as a memo file, e.g., /docs/claude-memos/01-foundations-keynote.md.
3) When you implement, paste the memo back to Claude as context: “Use memo 01–04. Now implement task X.”
4) Treat each memo as an evolving artifact: update after incidents, new patterns, or scope changes.
Recommended cadence:
Day 1: modules 1–4 (foundations) + implement one small feature.
Day 2–3: modules 5–8 (prompting & productization) + build a thin vertical slice.
Day 4–5: modules 9–16 (agents & production) + deploy an internal beta.
Week 2+: modules 17–24 (case learnings & scaling behaviors) + harden + measure.
CLAUDE.md template (paste into your repo root)
Copy/paste and fill. Keep it short but specific.
--
# Project: <name>
## Goal
What we are building:
Who it’s for:
Success metrics:
## Constraints
Security/compliance:
Performance budget:
Cost budget:
Timeline:
## Tech Stack
Language/runtime:
Frameworks:
Infra:
Data stores:
## Repo Map
/src:
/docs:
/scripts:
## Coding Standards
Style:
Testing:
Error handling:
Logging:
## Review Rules (non-negotiable)
No secrets in code.
No network calls unless explicitly allowed.
Explain risky changes.
Prefer small diffs.
Add tests for new behavior.
## Definition of Done
Tests passing.
Lint/format.
Docs updated.
Observability updated.
Rollback plan.
## Agent Operating Mode
Ask clarifying questions when requirements are ambiguous.
Provide a plan before code changes.
When coding: implement minimal viable change, then iterate.
--
Universal “Memo Prompt” (use for any talk/module)
Use this format to turn any conference/talk/topic into a reusable memo.
PROMPT:
“You are my Claude Code enablement coach. Create a concise memo I can apply immediately.
Context:
Project type: <web app / API / data pipeline / internal tool>
Team size/roles: <>
Risk level: <low/med/high>
Task:
1) Summarize the key ideas for <MODULE TITLE> in 8–12 bullets.
2) Give 5 concrete do/don’t rules.
3) Provide 2 example workflows I can copy (one simple, one production-grade).
4) Provide a ‘failure modes’ section: 6 common mistakes + how to detect them.
5) Provide an implementation checklist (10–15 items) for my repo.
6) Provide a 1-page evaluation rubric with scoring (0–2 each) for: clarity, safety, reproducibility, testability, cost.
Output format:
Title
TL;DR
Key ideas
Do/Don’t
Workflows
Failure modes
Checklist
Rubric
Keep it practical; avoid generic advice. Ask up to 5 clarifying questions first if needed.”
24 copy-ready prompts (the promised pack)
Use each prompt as-is. Replace <> fields.
1) Keynote Foundations Memo
PROMPT:
“Create Memo 01: ‘Claude Code Foundations: mental model + workflow’. Audience: <me/team>. Include: how Claude Code differs from chat, best default loop (plan→diff→test→commit), and how to maintain context in a repo. Also include a minimal ‘first hour’ setup checklist.”
2) Beyond Basics: CLAUDE.md, MCP, skills, sub-agents
PROMPT:
“Create Memo 02: ‘Beyond Basics (CLAUDE.md, MCP, skills, sub-agents)’. For my repo <repo summary>, define: what belongs in CLAUDE.md vs docs; a practical MCP-style tool interface checklist (capabilities, auth boundaries, rate limits); when to use sub-agents; and a sample skills library (5 skills) with trigger conditions.”
3) Building an AI Engineering Team
PROMPT:
“Create Memo 03: ‘Building an AI Engineering Team’. Propose roles, responsibilities, and interfaces: product, platform, app, evals, safety. Include: meeting cadence, artifacts (memos, eval dashboards), code review rules for AI-generated changes, and hiring rubric.”
4) Getting more from the Claude platform (search, comparison, batching)
PROMPT:
“Create Memo 04: ‘Platform leverage: search, comparison, batching’. For use cases <list>, propose: when to use search, how to structure comparisons (A/B prompts), batching patterns to reduce cost/latency, and a template for experiment logs.”
5) Prompting Playbook
PROMPT:
“Create Memo 05: ‘Prompting Playbook for Claude Code’. Provide: prompt patterns for requirements gathering, design, refactoring, testing, debugging; plus 10 ready-to-use prompt snippets. Include a section ‘When prompts fail’ with recovery tactics.”
6) Capability Curve
PROMPT:
“Create Memo 06: ‘Capability Curve: what to expect as tasks get harder’. Map tasks into 4 tiers (easy→expert). For each tier: recommended guardrails, expected failure rates, and how to chunk tasks. Include a decision tree: ‘Should I let Claude do this unsupervised?’”
7) Designing with Claude: from prompt to production
PROMPT:
“Create Memo 07: ‘Prompt to Production’. Provide an end-to-end methodology: discovery prompts → spec → architecture → implementation → evaluation → release. Include deliverable templates: PRD-lite, tech spec, rollout plan.”
8) Creating with Claude on Google Cloud
PROMPT:
“Create Memo 08: ‘Claude + GCP implementation patterns’. Assuming stack <GCP services>, propose reference architectures, secrets management, CI/CD, and observability. Include a sample Terraform/module outline and a runbook skeleton.”
9) Agents that trade autonomously (finance-style autonomy)
PROMPT:
“Create Memo 09: ‘Autonomous agents in high-stakes domains (trading-style)’. Focus on risk controls: permissions, limits, kill switches, simulation, approval workflows, audit logging. Provide a staged autonomy ladder and example policies.”
10) Choosing the right model
PROMPT:
“Create Memo 10: ‘Model selection’. For tasks <list>, define selection criteria: reasoning vs speed, context needs, tool use, cost. Provide a table template I can fill, and a safe default policy for production.”
11) Memory and ‘dreaming’ for self-learning agents
PROMPT:
“Create Memo 11: ‘Agent memory design’. Propose a memory system: short-term working set, long-term store, summarization, retrieval triggers, and forgetting. Include: data schema example (JSON), privacy constraints, and evaluation: how to test memory usefulness without leaking secrets.”
12) What legal agents inherit from code agents
PROMPT:
“Create Memo 12: ‘Cross-domain agent design: legal ↔ code’. Identify reusable patterns: citation discipline, traceability, versioned sources, risk classification. Provide an audit trail template and a ‘non-hallucination protocol’ checklist.”
13) Accelerating production with Managed Agents
PROMPT:
“Create Memo 13: ‘Managed Agents to production faster’. Give a production checklist: auth, secrets, sandboxing, quotas, retries, idempotency, human approval steps. Provide a reference ‘agent contract’ (inputs/outputs/errors).”
14) Build a production-ready agent
PROMPT:
“Create Memo 14: ‘Production-ready agent blueprint’. For my use case <>, design: system boundaries, tool interfaces, state machine, safety constraints, observability, eval harness, and rollout plan. Include pseudo-code and folder structure.”
15) The ‘Reflection’ Lever (reasoning controls)
PROMPT:
“Create Memo 15: ‘Reflection lever: when and how to increase deliberation’. Provide: indicators to ‘think more’ vs ‘ship fast’; prompt toggles; and how to cap cost/latency. Include a rubric to choose reflection level per request.”
16) Shipping sidecoding at scale (Lovable-style)
PROMPT:
“Create Memo 16: ‘Sidecoding at scale: turning prototypes into products’. Provide workflow: idea intake → scaffold → feature flags → QA → telemetry → iteration. Include a ‘prototype-to-prod’ checklist and anti-patterns.”
17) Building an AI-native company at scale
PROMPT:
“Create Memo 17: ‘AI-native operating model at scale’. Provide: org practices, platform approach, data governance, eval culture. Include: how to define KPIs for AI features, and how to prevent ‘prompt sprawl’.”
18) Base44-style leverage: from 1 person to 80
PROMPT:
“Create Memo 18: ‘Leverage with Claude Code: solo to team’. Provide practices for: reusable templates, automation, delegation to sub-agents, documentation as code. Include a weekly routine and a ‘leverage score’ metric.”
19) Proactive agent workflow
PROMPT:
“Create Memo 19: ‘Proactive agent workflow’. Design an agent that monitors signals (<CI failures / tickets / logs>) and proposes actions. Include: notification policy, confidence thresholds, and a human-in-the-loop approval UI outline.”
20) Building agents with Microsoft Foundry
PROMPT:
“Create Memo 20: ‘Claude Code patterns on Azure/Microsoft Foundry-like stacks’. Provide: enterprise auth patterns, network isolation, policy enforcement, logging, and deployment checklist. Include a sample architecture diagram description (text).”
21) Coding is no longer the constraint (Spotify-style)
PROMPT:
“Create Memo 21: ‘If coding isn’t the bottleneck, what is?’ Identify the new constraints: product clarity, evals, integration, data quality, trust. Provide a prioritization framework and a weekly ‘constraint review’ meeting agenda.”
22) Claude on AWS: from code to orchestration
PROMPT:
“Create Memo 22: ‘AWS orchestration patterns’. For stack <AWS services>, propose: event-driven agent workflows, step functions/state machines, queue-based tool execution, IAM least privilege, and runbooks.”
23) Stop babysitting your agents
PROMPT:
“Create Memo 23: ‘Don’t babysit: automate oversight’. Provide: guardrails that reduce manual supervision (tests, invariants, policies), escalation rules, and postmortem template. Include examples of ‘agent autonomy with boundaries’.”
24) What’s new in Claude Code (staying current)
PROMPT:
“Create Memo 24: ‘Keeping up with Claude Code changes’. Provide a lightweight process: change log review cadence, sandbox testing, prompt regression tests, and a compatibility checklist. Include a template for monthly update notes.”
Copy-ready templates (use across all modules)
A) Experiment Log Template
Date:
Hypothesis:
Prompt version:
Model:
Tools enabled:
Dataset/cases:
Metrics (latency, cost, pass rate):
Outcome:
Next change:
B) Agent Contract Template
Purpose:
Allowed tools:
Disallowed actions:
Inputs schema:
Outputs schema:
Error taxonomy:
Idempotency key:
Rate limits:
Audit fields (who/when/why):
C) PR Checklist for AI-generated code
Requirement clarity documented
Threat model notes
Tests added/updated
Logs/metrics added
Backward compatibility checked
Rollback plan
No secrets
Tool permissions reviewed
D) Evaluation Rubric (score 0–2 each)
Clarity (spec/testability)
Safety (permissions/data)
Reproducibility (deterministic steps)
Quality (code correctness)
Cost control (tokens/compute)
Observability (logs/metrics/traces)
Total: /12; ship threshold: 9+ with no Safety=0.
Practical workflow: from prompt to merged PR (repeatable loop)
1) Intake: paste ticket + constraints; ask Claude to restate requirements + open questions.
2) Plan: ask for a step plan + file list + risk notes.
3) Implement small diff: generate patch; keep commits small.
4) Test: add/adjust unit/integration tests; run locally/CI.
5) Review: use the PR checklist + rubric; request a ‘self-critique’ from Claude.
6) Deploy: feature flag + metrics + rollback.
7) Learn: update memo(s) and CLAUDE.md with new constraints/patterns.