100 Claude Prompts That Replace Hours of Work
Most Claude prompt lists are padded with noise. This one is not. I went through 200 prompts, cut everything that was vague, redundant, or too niche to matter, and kept only what I would actually use in my own work. What you are left with is 100 prompts across four high-leverage areas: coding, AI systems, research, and automation.
Every prompt is a framework, not a sentence. The [BRACKETS] are where your context goes. Drop in your codebase, your use case, your product, and the prompt does the rest. Think of these as cognitive multipliers. They do not replace your judgment, they accelerate it.
How to use this: bookmark the category you need most, pick one prompt today, and use it on a real problem. That is how this list pays off.
Coding and Debugging
The prompts below turn Claude into a senior engineering co-pilot. Use them for code reviews, architectural decisions, test generation, and debugging sessions. Replace the bracketed placeholders with your actual code, error messages, or stack details.
01. Code Review
Review this code as a senior engineer. Identify bugs, security vulnerabilities, performance issues, and style problems. Explain each issue and suggest a fix: [PASTE CODE]
02. Debug This Error
I am getting this error: [ERROR MESSAGE]. Here is the relevant code: [PASTE CODE]. Walk me through every possible cause and fix each one.
03. Refactor for Readability
Refactor this code to be cleaner and more readable without changing its functionality. Add comments explaining complex logic: [PASTE CODE]
04. Write Unit Tests
Write comprehensive unit tests for this function. Cover the happy path, edge cases, null inputs, and error conditions: [PASTE FUNCTION]
05. Optimize Performance
Analyze this code for performance bottlenecks. Identify the slowest parts and rewrite them to be more efficient: [PASTE CODE]
06. Convert to TypeScript
Convert this JavaScript code to TypeScript. Add proper type definitions for all variables, parameters, and return values: [PASTE CODE]
07. Security Audit
Audit this code for security vulnerabilities. Check for SQL injection, XSS, authentication issues, exposed secrets, and any other risks: [PASTE CODE]
08. Generate API Endpoint
Write a REST API endpoint in [LANGUAGE/FRAMEWORK] that [DESCRIBE WHAT IT SHOULD DO]. Include input validation, error handling, and correct HTTP status codes.
09. Database Query Optimization
This SQL query is running slowly: [PASTE QUERY]. Analyze it, explain why it is slow, and rewrite it to be faster. Suggest any indexes that would help.
10. Design a Data Schema
Design a database schema for [DESCRIBE APPLICATION]. Include all tables, columns, data types, relationships, indexes, and explain your design decisions.
11. Code Architecture Review
Review this architecture and tell me what problems you foresee at scale. What would break first and how should I redesign it: [DESCRIBE OR PASTE ARCHITECTURE]
12. Add Error Handling
Add comprehensive error handling to this code. Catch all possible failures, log them appropriately, and fail gracefully: [PASTE CODE]
13. Build an Authentication System
Design and write a JWT authentication system in [FRAMEWORK]. Include signup, login, token refresh, logout, and protected route middleware.
14. Write a CI/CD Pipeline
Write a GitHub Actions workflow that runs tests, checks code quality, builds the application, and deploys to [PLATFORM] on every push to main.
15. Build a Rate Limiter
Implement a rate limiter in [LANGUAGE] that allows [X] requests per [TIME PERIOD] per user. Handle edge cases and include a way to whitelist certain users.
16. Implement Retry Logic
Add retry logic to this function that makes an external API call. Handle rate limits, transient errors, and use exponential backoff: [PASTE FUNCTION]
17. Write Integration Tests
Write integration tests for this API endpoint that test the full request/response cycle including the database: [PASTE ENDPOINT CODE]
18. Implement Search Functionality
Implement full-text search for [DESCRIBE DATA] using [TECHNOLOGY]. Include fuzzy matching, relevance scoring, and filtering by [FIELDS].
19. Optimize a React Component
This React component is re-rendering too often and causing performance issues. Analyze it and fix the performance problems: [PASTE COMPONENT]
20. Implement Feature Flags
Design and implement a feature flag system that allows enabling or disabling features per user, per percentage of traffic, or without deploying code.
21. Write a State Machine
Implement a state machine for [DESCRIBE SYSTEM WITH STATES]. Define all states, transitions, guards, and actions.
22. Build a CLI Tool
Write a command line tool in Python that [DESCRIBE FUNCTIONALITY]. Include argument parsing, error handling, help text, and a usage example.
23. Write a Health Check Endpoint
Write a health check endpoint for [FRAMEWORK] that checks database connectivity, external service availability, and system resources. Return proper HTTP status codes.
24. Write a Data Migration Script
Write a database migration script that [DESCRIBE WHAT IT NEEDS TO DO]. Make it idempotent, reversible, and safe to run on a production database.
25. Design a Microservice
Design the architecture for a microservice that handles [DESCRIBE FUNCTIONALITY]. What endpoints does it need, how does it communicate, and what is its data model?
AI Workflows
These prompts are for anyone building with AI, not just using it. Design agents, evaluation frameworks, RAG pipelines, multi-agent systems, and more. Treat these as system design sessions where Claude is the architect.
26. Design an AI Agent
Design an AI agent that can [DESCRIBE GOAL]. What tools does it need, what decisions should it make autonomously, what should require human approval, and how should it handle failures?
27. Build a Prompt Chain
Design a multi-step prompt chain that takes [INPUT] and produces [OUTPUT]. Break it into discrete steps, define what each step does, and explain how outputs feed into the next step.
28. Create a System Prompt
Write a system prompt for an AI assistant that works as a [DESCRIBE ROLE] for [DESCRIBE COMPANY/USE CASE]. Define its personality, capabilities, limitations, and how it should handle edge cases.
29. Evaluate Prompt Quality
Evaluate this prompt and tell me everything that is wrong with it. Then rewrite it to be more precise, consistent, and likely to produce the output I actually want: [PASTE PROMPT]
30. Design a RAG System
Design a Retrieval Augmented Generation system for [DESCRIBE USE CASE]. What data should be indexed, how should it be chunked, what embedding model should be used, and how should retrieval work?
31. Create an Extraction Prompt
Write a prompt that extracts [DESCRIBE INFORMATION] from [DESCRIBE DOCUMENT TYPE]. Output as structured JSON. Handle missing fields gracefully and flag uncertain extractions.
32. Design a Multi-Agent System
Design a multi-agent system where [NUMBER] AI agents collaborate to accomplish [DESCRIBE GOAL]. Define each agent’s role, how they communicate, and how conflicts are resolved.
33. Build an AI Evaluation Framework
Design a framework for evaluating the quality of AI outputs for [DESCRIBE USE CASE]. What metrics matter, how should they be measured, and what does good versus bad look like?
34. Build a Question Answering System
Design a question answering system over [DESCRIBE KNOWLEDGE BASE]. How should documents be preprocessed, what retrieval strategy works best, and how should confidence be communicated to users?
35. Create a Data Enrichment Workflow
Design a workflow that takes [DESCRIBE INPUT DATA] and enriches it with [DESCRIBE ADDITIONAL INFORMATION] using AI. Define the steps, prompts, and how to handle failures.
36. Build a Feedback Loop System
Design a system where AI outputs are evaluated, feedback is collected, and the system improves over time for [DESCRIBE USE CASE]. How is quality measured and what triggers retraining?
37. Document Processing Pipeline
Design a pipeline that ingests [DESCRIBE DOCUMENT TYPES], extracts structured data, validates it, and stores it in [DESCRIBE SYSTEM]. Handle OCR, various formats, and malformed inputs.
38. Build a Monitoring System for AI
Design a monitoring system for an AI pipeline that tracks output quality, latency, cost, and failure rates. What alerts should exist and what dashboards need to be built?
39. Create a Prompt Template Library
Create a library of 10 reusable prompt templates for [DESCRIBE USE CASE]. Each template should have placeholders, usage instructions, and example inputs and outputs.
40. Design a Human-in-the-Loop System
Design a system where AI handles [DESCRIBE TASKS] autonomously but routes edge cases to humans. Define the confidence thresholds, escalation paths, and how human feedback is incorporated.
41. Create AI Customer Service Agent
Design an AI customer service agent for [DESCRIBE BUSINESS]. What questions can it answer, when should it escalate to a human, and how should it handle frustrated customers?
42. Design a Code Review AI
Design an AI code review system that automatically reviews pull requests for [DESCRIBE STANDARDS]. What should it check, and how should feedback be formatted to be actionable?
43. Build a Research Assistant
Design an AI research assistant that can [DESCRIBE RESEARCH TASKS]. How should it search, synthesize information, cite sources, and flag low-confidence conclusions?
44. Design a Meeting Intelligence System
Design an AI system that processes meeting transcripts and produces [DESCRIBE OUTPUTS: action items, summaries, decisions]. How should it handle multiple speakers and task assignments?
45. Build a Contract Analysis Pipeline
Design an AI pipeline that analyzes contracts and flags [DESCRIBE RISK TYPES]. What clauses should trigger alerts, how should confidence be communicated, and when should a lawyer review?
46. Create a Sentiment Analysis System
Design a sentiment analysis system for [DESCRIBE DATA SOURCE]. What dimensions of sentiment matter, how should nuance be handled, and how should results be aggregated for reporting?
47. Content Recommendation Engine
Design a content recommendation engine for [DESCRIBE PLATFORM]. What signals drive recommendations, how should diversity be maintained, and how should new content be handled?
48. Anomaly Detection System
Design an AI anomaly detection system for [DESCRIBE DATA]. What constitutes an anomaly, how should severity be classified, and what should happen when one is detected?
49. Build a Trend Detection System
Design an AI system that monitors [DESCRIBE DATA SOURCES] and identifies emerging trends in [DESCRIBE DOMAIN]. How should trends be validated and false positives filtered?
50. Design a Voice AI System
Design a voice AI assistant for [DESCRIBE USE CASE]. How should speech be processed, what intents need to be recognized, and how should ambiguous requests be handled?
Research and Analysis
These prompts structure your thinking. Use them for market research, investment analysis, competitive intelligence, and any situation where you need to go deeper than a surface-level answer. They are frameworks, not searches.
51. Deep Research Brief
Research [TOPIC] comprehensively. Cover the current state, key players, recent developments, open questions, and what experts disagree about. Structure as a research brief.
52. Competitive Analysis
Analyze [COMPANY/PRODUCT] against its top 5 competitors. Compare on [DIMENSIONS]. Identify where it leads, where it lags, and where the biggest opportunities are.
53. Market Size Estimation
Estimate the market size for [DESCRIBE MARKET]. Use a bottom-up approach, show your assumptions clearly, and give a range rather than a single number.
54. Argument Steel-Manning
Steel-man the argument that [CONTROVERSIAL POSITION]. Present the strongest possible version of this argument as its best advocate would make it. Then identify its weakest points.
55. Investment Thesis Analysis
Analyze the investment thesis for [COMPANY/ASSET]. What has to be true for this to be a good investment, what are the key risks, and what would change your view?
56. SWOT Analysis
Conduct a deep SWOT analysis for [COMPANY/PROJECT/IDEA]. Go beyond surface-level observations and identify second-order implications of each factor.
57. First Principles Analysis
Analyze [PROBLEM/INDUSTRY/ASSUMPTION] from first principles. What are the irreducible truths, what assumptions are people making that might be wrong, and what does this suggest?
58. Historical Pattern Analysis
Analyze historical examples of [DESCRIBE SITUATION OR PATTERN]. What patterns emerge, what caused success or failure, and what lessons apply to [CURRENT SITUATION]?
59. Risk Analysis
Conduct a comprehensive risk analysis for [DESCRIBE PROJECT OR DECISION]. Identify all risks, assess likelihood and impact, prioritize them, and suggest mitigations for the top five.
60. Scenario Planning
Develop three scenarios for [DESCRIBE SITUATION]: a base case, an optimistic case, and a pessimistic case. What would cause each to occur and how should we prepare for each?
61. Causal Chain Analysis
Map the causal chain from [ROOT CAUSE] to [OUTCOME]. What are all the links in the chain, where could intervention have the most impact, and what feedback loops exist?
62. Trend Analysis
Analyze the trend of [DESCRIBE TREND]. How long has it been building, what is driving it, how durable is it, and what are its second and third-order effects?
63. Decision Framework
Build a decision framework for [DESCRIBE DECISION TYPE]. What factors matter, how should they be weighted, what information is needed, and what does a good decision process look like?
64. Root Cause Analysis
Conduct a root cause analysis of [DESCRIBE PROBLEM OR FAILURE]. Use the five whys method, identify contributing factors, and recommend actions that address root causes, not symptoms.
65. Stakeholder Analysis
Map the stakeholders for [DESCRIBE PROJECT OR DECISION]. Who has power, who is affected, what does each party want, and how should each be engaged?
66. Hypothesis Generation
Generate 10 testable hypotheses about [DESCRIBE PHENOMENON OR PROBLEM]. For each, describe what evidence would confirm or refute it and how it could be tested.
67. Assumption Mapping
Map all the assumptions underlying [DESCRIBE PLAN OR BELIEF]. Categorize them by how critical they are and how uncertain they are. Which assumptions most need to be tested first?
68. Second-Order Effects
Analyze the second and third-order effects of [DESCRIBE DECISION OR TREND]. Go beyond the obvious first-order effects and identify what most people are missing.
69. Pre-Mortem Analysis
Conduct a pre-mortem for [DESCRIBE PLAN]. Imagine it is 12 months from now and this has failed. What went wrong, why did it fail, and what could have been done differently?
70. Value Chain Analysis
Map the value chain for [DESCRIBE INDUSTRY]. Where is value created, where is it captured, where are the margins, and where is disruption most likely to occur?
71. Network Effects Analysis
Analyze the network effects dynamics in [DESCRIBE MARKET OR PRODUCT]. What type of network effects exist, how strong are they, and what does this mean for competitive dynamics?
72. Jobs to Be Done Analysis
Apply the Jobs to Be Done framework to understand why customers hire [DESCRIBE PRODUCT OR SERVICE]. What functional, emotional, and social jobs is it doing?
73. Moat Analysis
Analyze the competitive moat of [COMPANY]. What sustainable advantages does it have, how durable are they, and what would erode them over the next five years?
74. Supply and Demand Analysis
Analyze the supply and demand dynamics for [DESCRIBE MARKET]. What drives demand, what constrains supply, how tight is the market, and what would shift the balance?
75. Go-to-Market Analysis
Analyze the go-to-market strategy for [DESCRIBE PRODUCT]. Who is the beachhead customer, what is the sales motion, how does word of mouth work, and what drives viral growth?
Automation
Use these prompts to design end-to-end automation systems. They are strong for Zapier workflows, data pipelines, onboarding flows, CRM automations, and anything that runs without you. Tell Claude what you are automating and let it map the entire system.
76. Map a Manual Process
I do this task manually: [DESCRIBE TASK]. Map every step in detail, identify which steps could be automated, and design an automation that handles the full workflow.
77. Zapier Workflow Design
Design a Zapier workflow that automates [DESCRIBE PROCESS]. Define the trigger, all the steps in sequence, what data is passed between steps, and how errors are handled.
78. Email Automation Sequence
Design an automated email sequence for [DESCRIBE PURPOSE]. Write the copy for each email, define the triggers and timing, and explain the goal of each message.
79. Build a Data Pipeline
Design a data pipeline that takes [DESCRIBE INPUT], transforms it by [DESCRIBE TRANSFORMATIONS], and loads it into [DESCRIBE DESTINATION]. Include error handling and monitoring.
80. Automate Report Generation
Design an automation that pulls data from [DESCRIBE SOURCES], calculates [DESCRIBE METRICS], generates a [FORMAT] report, and sends it to [RECIPIENTS] every [FREQUENCY].
81. Build a Lead Qualification Bot
Design an automated lead qualification system that [DESCRIBE HOW LEADS COME IN], asks qualifying questions, scores them against [DESCRIBE CRITERIA], and routes them to the right person.
82. Customer Onboarding Automation
Design an automated customer onboarding flow for [DESCRIBE PRODUCT]. What happens at each step, what triggers the next step, and how are stuck customers identified and helped?
83. Build a Monitoring Alert System
Design an automated monitoring system for [DESCRIBE WHAT IS BEING MONITORED]. What metrics trigger alerts, how are alerts prioritized, and what information is included in each alert?
84. Automate Customer Support Triage
Design an automation that receives support requests, categorizes them by type and priority, routes them to the right team, and sends an acknowledgment to the customer.
85. Content Publishing Pipeline
Design an automated content publishing pipeline that takes a draft, runs it through [DESCRIBE CHECKS], formats it for [PLATFORMS], schedules publication, and tracks distribution.
86. Automate Competitive Monitoring
Design an automation that monitors [DESCRIBE COMPETITORS] for changes to [DESCRIBE WHAT TO MONITOR] and delivers a weekly digest with the most important changes highlighted.
87. Build a CRM Automation
Design automations for [CRM SYSTEM] that handle [DESCRIBE SCENARIOS]. What triggers each automation, what actions does it take, and how does it update records?
88. Automate Employee Onboarding
Design an automated employee onboarding workflow that handles account creation, equipment provisioning, training assignments, introduction emails, and day-one check-ins.
89. Automate Meeting Follow-Ups
Design an automation that processes meeting transcripts, extracts action items, assigns them to owners, creates tasks in [PROJECT MANAGEMENT TOOL], and sends follow-up emails.
90. Build a Price Monitoring System
Design an automation that monitors competitor prices for [DESCRIBE PRODUCTS] across [CHANNELS], alerts when significant changes occur, and provides pricing recommendations.
91. Automate Job Posting and Screening
Design an automation for the recruitment process that posts jobs, screens applications against [CRITERIA], schedules interviews for qualified candidates, and sends rejections.
92. Automate Customer Win-Back
Design an automated win-back campaign for churned customers. What triggers it, what is the sequence of messages, what offers are made, and when does it stop?
93. Automate Sales Forecasting
Design an automation that pulls data from [CRM AND OTHER SOURCES], applies [DESCRIBE FORECASTING MODEL], generates weekly forecast reports, and flags deals needing attention.
94. Automate IT Ticket Routing
Design an automation that receives IT support tickets, categorizes them, assigns priority, routes to the right team, and tracks resolution time against SLAs.
95. Build an A/B Testing Automation
Design a system that sets up A/B tests for [DESCRIBE WHAT IS BEING TESTED], monitors results, determines statistical significance, implements winners, and documents learnings.
96. Build a User Lifecycle Automation
Design automated workflows for each stage of the user lifecycle for [DESCRIBE PRODUCT]: activation, engagement, retention, re-engagement, and win-back.
97. Automate Customer Health Scoring
Design an automation that monitors [DESCRIBE CUSTOMER SIGNALS], calculates health scores, segments customers by risk, and triggers appropriate outreach for at-risk accounts.
98. Build a Security Scanning Pipeline
Design an automated security scanning pipeline for [DESCRIBE WHAT IS BEING SCANNED]. What tools run, what findings are critical versus informational, and how are remediations tracked?
99. Build a Release Management Pipeline
Design an automated release management process for [DESCRIBE APPLICATION]. How are releases staged, tested, approved, deployed, and monitored after going live?
100. Automate Financial Reconciliation
Design an automation that reconciles [DESCRIBE ACCOUNTS] by matching transactions, flagging discrepancies, generating exception reports, and updating records after review.
Nice thanks
very beautifully listed. Thanks for sharing :)