PUBLIC LIBRARY
TaskExpert
Everyday task prompts. Add your context and get started.
The official English task library: 100 reusable prompts for meetings, outreach, resumes, interviews, daily planning, content repurposing, campaigns, prioritization, data checks, and problem framing.
100 public works
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Choose a task, fill in the inputs, and copy the prompt into your preferred AI assistant. Fictional editorial examples illustrate the format; they are not independently model-tested results.— TaskExpert
PUBLIC LIBRARY
Prioritization
Browse images and reusable prompts shared by this creator.
10works
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Group work by impact and effort
Model not specifiedFree
2 replaceable variablesText to image
Choose a feasible set of work for this week
Model not specifiedFree
2 replaceable variablesText to image
Choose a prioritization method for the evidence you have
Model not specifiedFree
2 replaceable variablesText to image
Turn feature requests into problems to prioritize
Model not specifiedFree
2 replaceable variablesText to image
Compare project options with RICE
Model not specifiedFree
2 replaceable variablesText to image
Audit prioritization scores for false precision
Model not specifiedFree
2 replaceable variablesText to image
Test how sensitive a ranking is to estimates
Model not specifiedFree
2 replaceable variablesText to image
Sort tasks by urgency and importance
Model not specifiedFree
2 replaceable variablesText to image
Write a defensible priority decision note
Model not specifiedFree
2 replaceable variablesText to image
Set a release scope with MoSCoW
Model not specifiedFree
2 replaceable variablesCREATOR EDITIONS
Collections
Series of works arranged by theme.
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ABOUT THE CREATORThe person behind the work
The official English task library: 100 reusable prompts for meetings, outreach, resumes, interviews, daily planning, content repurposing, campaigns, prioritization, data checks, and problem framing.
Choose a task, fill in the inputs, and copy the prompt into your preferred AI assistant. Fictional editorial examples illustrate the format; they are not independently model-tested results.