# Prompt, skill and AI workflow guides

Practical workflows for contextual prompts, reusable agent skills, Memory and AI discovery. Choose the task you want to complete.

- [NotebookLM prompts with a clear purpose](https://prompeteer.ai/landing/notebooklm-prompt-generator): Create NotebookLM prompts for source comparison, study guides and evidence-based briefs. Keep citations, missing information and your task explicit.
- [Give Copilot a clearer brief](https://prompeteer.ai/landing/free-copilot-prompt-generator): Use free Copilot prompt examples, then create an instruction for your task. Specify the source, goal, audience and output without inventing access.
- [Make the brief fit the work](https://prompeteer.ai/ai-prompt-generator): Generate AI prompts from your goal, selected context and target tool. Review the instruction, save it in PromptDrive and reuse what works.
- [Create contextual agent skills for your work](https://prompeteer.ai/agent-skill-generator): Create contextual agent skills and refine toward an A+ Skill Score. Build reusable SKILL.md workflows with your files and selected Memory in Prompeteer.
- [Keep the context worth reusing](https://prompeteer.ai/ai-memory): Turn selected documents into a private, browsable knowledge base. Use source-backed context in supported prompts, skills and connected AI workflows.
- [Give the prompt the facts it needs](https://prompeteer.ai/contextual-prompts): Build prompts around your audience, source material, constraints and brand voice. Separate authoritative facts from examples and requested output.
- [Build agent skills around your context](https://prompeteer.ai/contextual-agent-skills): Create contextual agent skills from your files, selected Memory and task requirements. Give individual and team workflows current sources and clear review steps.
- [Turn a document into useful context](https://prompeteer.ai/context-from-files): Prepare selected files for contextual prompts and Memory. Review source quality, remove unrelated material and keep the requested output explicit.
- [Bring the right cloud document into the task](https://prompeteer.ai/cloud-files-for-ai-context): Prepare documents from cloud storage for AI context through supported export or upload paths. Keep sharing permissions, freshness and source provenance clear.
- [Keep the useful context from a conversation](https://prompeteer.ai/email-context-for-ai): Prepare selected email excerpts for AI drafting without assuming inbox access. Preserve decisions, dates, privacy boundaries and human approval before sending.
- [Reuse what you already worked out](https://prompeteer.ai/second-brain-for-ai): Organize selected knowledge for future prompts and decisions. Separate durable facts from temporary task context and keep sources easy to inspect.
- [Make the knowledge easier to inspect](https://prompeteer.ai/documents-to-knowledge-wiki): Understand how selected sources become browsable, linked knowledge. Review provenance, contradictions and updates before using a wiki as AI context.
- [Inspect a skill before you trust it](https://prompeteer.ai/skill-security-scanner): Understand Prompeteer Secure Scan findings, source provenance and publication limits. Review prompt injection, suspicious links and executable behavior.
- [Know what is inside an agent skill](https://prompeteer.ai/guides/agent-skills-standard): Read the SKILL.md format, distinguish metadata from instructions and inspect optional scripts and references. Follow the official specification for validation.
- [Choose an agent skill for the actual job](https://prompeteer.ai/guides/choose-agent-skills): Find agent skills for individual and team work. Compare task fit, source, review status and client requirements, then adapt the instructions to your context.
- [Keep the goal. Adapt the instruction.](https://prompeteer.ai/model-aware-prompts): Adapt a task to the selected model and tool. Separate prompt compatibility from connectors, model access and guarantees about output quality.
- [Write for the app doing the work](https://prompeteer.ai/prompts-for-ai-apps): Create instructions for the actual AI app and workflow. Distinguish a prompt target, copied instruction, connector and API integration before handing over work.
- [Give each medium the right direction](https://prompeteer.ai/multimodal-prompt-generator): Prepare prompts for different media with explicit audience, content, format and constraints. Keep asset rights and target-tool capabilities in view.
- [Understand how AI answers present your business](https://prompeteer.ai/ai-discovery-agent): Learn how Prompeteer separates website readiness, sampled API answers and evidence-based actions. Beacon workspaces are currently administrator-only.
- [Turn a finding into a checkable action](https://prompeteer.ai/ai-discovery-action-plan): Connect AI discovery findings to owned website and content work. Define the evidence, owner, action and verification before claiming improvement.
- [Make every visibility number explainable](https://prompeteer.ai/guides/ai-visibility-measurement): Inspect AI visibility denominators, citations, sentiment quotes, recommendation positions and missing evidence. Read a worked example with reproducible calculations.
- [Check the claims before keeping the answer](https://prompeteer.ai/techniques/chain-of-verification): Use a draft, independent verification questions and a corrected answer to review factual claims. Learn the research scope and why verification can still fail.
- [Make unsupported claims easier to catch](https://prompeteer.ai/guides/reduce-ai-hallucinations): Use relevant sources, explicit uncertainty, verification and human review to reduce unsupported AI claims. Learn what prompts alone cannot guarantee.
- [Decide what a good answer must pass](https://prompeteer.ai/guides/evaluate-ai-outputs): Evaluate factual accuracy, task completion and format separately. Build representative cases, failure examples and human review criteria for AI workflows.
- [Give the team a common source to work from](https://prompeteer.ai/guides/reusable-team-context): Prepare reusable product, policy and voice context with owners, source dates and review boundaries. Keep customer-specific material scoped to each task.
- [Use the method the problem needs](https://prompeteer.ai/guides/choose-prompting-frameworks): Choose among source grounding, examples, task decomposition, verification and structured output. Understand the evidence, cost and limits of each approach.
- [Find the gaps in the instruction](https://prompeteer.ai/prompt-quality-checker): Review prompts for missing context, ambiguity, constraints and output requirements. Understand what Prompt Score can assess and what still needs testing.
- [Improve the prompt without changing the goal](https://prompeteer.ai/landing/prompt-optimizer): Refine an existing prompt while preserving its purpose, constraints and important details. Compare the revision with the original before adopting it.
- [Draft a Kannada reply from the facts you have](https://prompeteer.ai/landing/kannada-chatgpt-prompts): Prepare Kannada customer replies with source checks, an approved glossary and clear tone. Preserve names, numbers and policy limits, then review before sending.

Canonical: https://prompeteer.ai/guides