100 Writing, Productivity, Coding & Research Lenses for ChatGPT 🧠💻
From fixing one sentence to designing an algorithm, AI becomes much more useful when you stop treating it as a single-purpose chatbot. Instead, think of it as a collection of specialized working modes . Need to debug? /debug Need to design an algorithm? /algorithm Need to plan research? /researchplan Need to challenge your own argument? /critic Need to turn a large project into manageable work?…
ChatGPT's versatility lies in its ability to function as a suite of specialized working modes, rather than merely a single-purpose chatbot. By employing specific lenses, users can tailor ChatGPT's output to suit their needs in various domains, such as writing, research, coding, and project management.
In the realm of writing, lenses like /rewrite, /improve, /polish, /proofread, and others enable users to transform existing text according to their desired outcome. These commands help users refine their language, structure, clarity, and conciseness. Tone is also a crucial factor, with lenses such as /formal, /casual, /friendly, /professional, and others allowing users to control the style of their communication based on the target audience.
For long-form outputs, structured writing lenses like /story, /essay, /article, /report, /whitepaper, /casestudy, /proposal, /sop, /playbook, /manual, /guide, and /faq guide users in organizing their thoughts and presenting information in a clear, concise manner. This approach reduces ambiguity and ensures the end product is well-structured and easy to follow.
Information compression lenses such as /bulletpoints, /keypoints, /highlights, and /notes help users distill large amounts of information into key points, making it easier to extract the most relevant data. This is particularly useful when preparing meeting summaries, project plans, or other collaborative documents.
In the world of meetings and collaboration, lenses like /minutes, /agenda, /meetingsummary, and /todo streamline the process of turning discussions into actionable outcomes. These lenses ensure that meeting minutes capture the essential elements of discussion, decisions, action items, and deadlines.
Within project management, lenses like /kanban, /gantt, /okr, /kpi, /smartgoals, /roadmap90, /roadmapyear, and /milestones assist users in breaking down complex projects into manageable components. By defining vision, objectives, milestones, tasks, dependencies, execution, and metrics, these lenses transform vague goals into actionable systems.
Goals require measurement to be effective, and lenses such as /okr, /kpi, /smartgoals, /metrics, and /dashboardmetrics help users define how progress will be tracked and evaluated. By setting clear objectives and key results, users can ensure that their projects remain focused and measurable.
Risk analysis lenses like /risks, /riskmatrix, /dependencies, /estimate, /budget, and /forecast enable users to identify potential pitfalls in their projects and prioritize their mitigation efforts. By quantifying the impact and likelihood of various risks, users can allocate resources more effectively and minimize the chances of project failure.
Root cause analysis lenses such as /decisiontree, /fishbone, /pareto, /lean, and /sixsigma help users dissect complex problems and identify their underlying causes. By breaking down issues into smaller components and using frameworks like fishbone analysis, users can develop more effective solutions and prevent similar problems from recurring.
Productivity tools like /productivity, /timemanagement, and /pomodoro help users manage their time and prioritize tasks effectively. However, productivity should not be reduced to simply "doing more tasks." A more holistic approach considers priorities, focus, execution, feedback, and adjustment.
In the field of education, lenses like /studyplan, /revisionplan, /learningpath, /feynman, /memory, /mnemonics, /practice, and /challengequestions facilitate active learning and knowledge retention. The Feynman technique, in particular, encourages users to simplify complex concepts and explain them in simple terms, thereby reinforcing their understanding of the material.
For developers, coding lenses like /coding, /explaincode, /debug, /refactor, /optimizecode, and /reviewcode cater to a wide range of software engineering tasks. These lenses distinguish between generating code and reviewing code, ensuring that users receive the appropriate output for their specific needs.
Comparing code generation and code review highlights the importance of treating these tasks as separate activities with distinct failure modes. By understanding the nuances of each lens, users can leverage ChatGPT more effectively and achieve better results in their respective domains.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
