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Find the Original Source Behind a Research Summary
Locate one original source and identify the section needed to investigate a research question.
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Verification
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Verify a Citation Before You Use It
Resolve one reference to a matching work, record the version, and distinguish identity from content verification.
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Does This Source Actually Support Your Sentence?
Revise one overbroad sentence and attach a precise source location and remaining limitation.
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Compare Studies Before Calling Them Contradictory
Write a comparison paragraph that identifies comparable conditions and leaves unresolved disagreement explicit.
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Calendar Event or Task? Choose by What Must Happen
Decide whether a class, deadline, study session, or assignment belongs on a calendar, in a task list, or in both without duplicating the whole plan.
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Extract Deadlines and Hard Rules from a Syllabus or LMS
Turn course information from a syllabus or LMS into a source-linked plain-text register of milestones, hard rules, open questions, and verification states.
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Run a Semester-Start Readiness Audit and Tool Check
Verify course access, source files, required tools, submission paths, and recovery contacts before a new term begins.
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Emergency Triage for Broken Assignments and Files
A calm, evidence-first protocol for protecting files, assessing damage, and choosing the next recovery step when student work breaks near a deadline.
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Handle LMS Course Changes Before They Become Surprises
Use LMS alerts, clarify conflicting dates or instructions, and preserve simple evidence when a surprise course change causes a problem.
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Recovering Git History and Lost Code
Learn how to inspect local Git history, reflogs, and recovery copies without rewriting the repository before you know which version is correct.
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Build a Course Dashboard in Markdown
Create a small Markdown index for one course that connects source files, milestones, current status, open questions, and the next action.
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Automate Due-Date Reminders Without Bloated Apps
Turn a verified course milestone list into a small, reviewable reminder flow without duplicating dates across several productivity tools.
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Post-Crisis Review and System Hardening
Turn a technical incident into a small, tested improvement to your files, backups, documentation, or recovery workflow.
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Turn Daily Information Into a Journal You Can Use
Process scattered daily captures into a chronological journal, durable learning, verified claims, and correctly routed actions.
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Grow With Skills: Improve the Agent While You Work
Improve a personal agent skill from observed work, selectively adapt attributed ideas from a shared skill, and keep only revisions that pass fresh-task tests.
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Structured Languages Are Thinking Tools in the AI Era
Use prose, structured documents, schemas, and code to expose assumptions and make parts of AI-assisted work mechanically checkable.
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Test an AI-Generated Claim with the Scientific Method
Turn one AI-generated claim into a proportionate test with explicit assumptions, independent evidence, and a bounded conclusion.
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Start a Working Log Before You Change Anything
Create a chronological record that makes setup, troubleshooting, and AI-assisted work easier to understand and verify.
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Your Backup Is Only Real If You Can Restore It
Test one small file restoration, verify its contents, and document the evidence needed for future recovery.
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Inspect Before You Change
Use read-only inspection, one small change, and an after-state check to make command-line work understandable.
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What Git Is Actually Tracking
Build a correct mental model of the Git repository, working tree, staging area, and committed history.
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`git status` and `git diff`: Your Safety Instruments
Inspect untracked, modified, staged, and unstaged changes before committing or accepting an AI edit.
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How to Make a Useful Commit
Create a small verified Git checkpoint with one logical change and a descriptive message.
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Find AI Information Through Builders, Not Just Influencers
Use interpreters to discover questions, builders to find firsthand context, and primary evidence to reach a bounded conclusion about an AI claim.
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Use AI as a Tutor, Not an Answer Vending Machine
Use hints, questions, layered explanations, practice, and feedback to keep AI-assisted work centered on learning.
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Before You Ask AI, Write Down What You Know
Use a known–unknown–attempt record to preserve independent reasoning and ask AI a focused, verifiable question.
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Academic Integrity in the Age of AI
Translate course-specific AI rules into clear boundaries for tutoring, substitution, disclosure, privacy, and published solutions.
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Protect Student Data Before You Share Anything with AI
Reduce an AI request to the minimum permitted evidence, replace real values when possible, and stop when sanitization cannot protect the material.
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A Practical Prompt Library for Students
Use a small set of prompt patterns for hints, investigation, explanation, tests, reasoning review, quizzes, and manual verification.
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Don’t Let a Useful AI Conversation Disappear
Capture a successful AI-assisted task as a durable record of the problem, reasoning, commands, risks, and verification.
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Write a Bounded Task for an AI Coding Agent
Give an AI coding agent a clear outcome, exact scope, authority boundary, success criteria, and evidence requirements for one reviewable change.
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Adapt Shared Agent Skills to Your Own Workflow
Compare agent skills on a safe task, adapt only what fits your workflow, and keep the source, permissions, and rollback path visible.
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What K–12 Schools Can Learn from AI-Supported Mastery Models
Evaluate which parts of an AI-supported mastery model merit a bounded school pilot without treating one private school as proof for an education system.
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Follow Important AI Updates Without Chasing Every Announcement
Build a scheduled, low-noise routine that turns relevant AI updates into verified decisions instead of continuous news consumption.
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The Capture–Verify–Crystallize Loop
Turn an AI-assisted result into a verified asset that works independently of the original conversation.
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Package a Repeatable AI Workflow as a Skill
Recognize repeated multi-step agent work that belongs in a tested skill with instructions, references, scripts, and a defined output.
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Automation Is the Last Step, Not the First
Turn a stable manual workflow into documented, verified automation with monitoring and a recovery path.
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Define “Done” Before You Start
Write observable success criteria for scope, behavior, tests, documentation, and delivery before beginning a project.
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Debugging Is a Scientific Process
Debug with a reproducible cycle of observation, reduction, hypothesis, experiment, and verification.
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Test the Expected, the Boundary, and the Invalid
Design a small meaningful test set covering normal behavior, important boundaries, and invalid inputs.