Maximize Efficiency with GPT-5 Router-Optimized Prompts

This prompt pack provides a versatile collection of prompts tailored for GPT-5 across various applications. It includes formats such as Word and Markdown. Designed for diverse professional needs, these prompts facilitate tasks from executive summaries to automation blueprints, ensuring clear guidance on execution and outcomes to optimize results.

This prompt pack is around general use, if you would like a more focused pack focused on a specific industry or scenario, comment below.

Below you will find the prompt pack in 3 formats

Word doc download:

Markdown download (word press wont let me upload markdown file so I have uploaded to my GitHub for download: FlowAltDelete/GPT-5-Router-Optimized-Universal-Prompt-Pack

If you don’t want to download, I have also put the prompt pack below

GPT‑5 Router‑Optimized Universal Prompt Pack (v1.1)

What this is: A field‑tested, router‑aware prompt pack tuned for GPT‑5.
How to use: Paste the Router Boost Header 2.0 above any task below, then use the upgraded prompt. Each item includes a fast audit (strengths, gaps, tuning) so you know why it works.


Router Boost Header 2.0 (paste above any prompt)

Task: [one sentence describing “done”].
Context/Grounding: [paste facts/links/notes]. Cite sources if summarizing; don’t invent.
Constraints: audience=[…], tone=[…], length=[…], locality=[region/laws], non‑negotiables=[…].
Output Contract: [exact format/schema; if JSON, include a schema].
Tool Grants: You may use internal reasoning, code execution, and structured output. Do not expose chain‑of‑thought; return only the final results.
Mode: Choose fast for simple tasks, deep for complex ones; state the choice on one line before the output.
Self‑Check: Validate constraints, factuality (vs. sources), and format before returning. If JSON, ensure it parses.
Failure Policy: If blocked or context is thin, list missing info and ask 3 sharp questions; otherwise proceed with explicit assumptions labeled “Assumptions.”

Tip: Keep the header short in production—only include fields that matter. If you need determinism, ask for “low‑randomness; no lateral riffs.”


Universal GPT‑5 Prompt Pack v1.1**

Below: for each prompt

  • Use when: best fit.
  • Strengths: what’s good already.
  • Gaps: what to tighten for GPT‑5.
  • Router tuning: small switches that improve results.
  • Upgraded prompt: copy/paste ready.
  • (Optional) Strict JSON variant: when you need machine‑readable output.

1) Executive Summary (Any Topic)

Use when: You need crisp, executive‑level clarity in 30–90 seconds.
Strengths: Forces prioritization; covers timing and action.
Gaps: Can drift into fluff; doesn’t enforce one‑line bullets; missing “evidence”.
Router tuning: Demand one‑line bullets with bold labels; add “evidence” blip; enforce count.

Upgraded prompt

Create exactly **5 one‑line bullets** summarizing [topic/brief].
Each bullet starts with a bold label: **What matters**, **Why now**, **Risks**, **Decision**, **Next actions**.
Add ≤12 words per bullet. Include 1 source or metric if available.
Mode: [fast/deep]. Return as a simple bullet list—no preamble.

Strict JSON variant

Return valid JSON:
{ "what_matters": "...", "why_now": "...", "risks": "...", "decision": "...", "next_actions": "..." }

2) Research Plan (Adversarial)

Use when: You must test a claim/feature beyond happy‑path.
Strengths: Calls for metrics, data, adversarial tests.
Gaps: No threat model; no instrument plan; no stop/continue math.
Router tuning: Introduce threat model + falsification criteria; add power checks.

Upgraded prompt

Design an **adversarial research plan** to evaluate [claim/feature]. Include:
1) Objectives & hypotheses (null + alt); 2) Success metrics & thresholds; 3) Threat model (abuse, edge cases);
4) Data to collect (fields, sample size/power);
5) Protocols (A/B, holdout, offline evals);
6) Adversarial tests & red‑team scripts;
7) Stop/continue rule with math;
8) Reporting template (tables/plots).
Mode: [fast/deep]. Output as a numbered outline.

3) Decision Memo

Use when: A one‑pager to choose among options.
Strengths: Options, costs, risks, reversibility, rec.
Gaps: No owner/date format; no “evidence” box; weak contingency.
Router tuning: Add RACI owner/date; add 30/60/90 follow‑ups.

Upgraded prompt

Write a one‑page decision memo for [choice]. Include:
- Context (1 para) with constraints & evidence;
- Options (3): summary, costs (one‑time/run), risks, reversibility;
- Recommendation: **one** choice with rationale;
- Owner + Decision date; 30/60/90‑day checkpoints;
- Contingency triggers & rollback plan.
Mode: [fast/deep]. Keep ≤400 words.

4) Project Plan One‑Pager

Use when: Turn messy notes into plan.
Strengths: Scope, milestones, owners, risks, comms, RAID.
Gaps: No critical path; RAID often hand‑wavy.
Router tuning: Add dates & simple Gantt list; RAID as compact table.

Upgraded prompt

From these notes: [paste], produce a one‑page plan with:
1) Scope (in/out);
2) Milestones (name, owner, date) in order;
3) Critical path (1‑3 bullets);
4) Comms cadence (who, channel, freq);
5) RAID summary table (Risk/Assumption/Issue/Dependency → owner, impact, mitigation);
6) Acceptance criteria (bullet list).
Mode: [fast/deep]. Keep it skimmable.

5) Meeting → Decisions

Use when: Converting raw notes to what matters.
Strengths: Decisions & actions separation.
Gaps: No owners on decisions; action status taxonomy missing.
Router tuning: Add decision owner + rationale; status enum.

Upgraded prompt

Convert these notes: [paste] into:
A) **Decisions** list (decision, owner, rationale, date);
B) **Actions** table {owner, step, due, status ∈ [New, In‑Progress, Blocked, Done]}.
Mode: [fast/deep]. No commentary, just the two sections.

Strict JSON variant

{ "decisions": [ { "decision": "", "owner": "", "rationale": "", "date": "" } ],
  "actions": [ { "owner": "", "step": "", "due": "", "status": "New|In-Progress|Blocked|Done" } ] }

6) Cold Email Trio

Use when: 3‑touch outbound sequence.
Strengths: Problem → proof → ask. Short.
Gaps: ICP nuance; weak personalization; missing CTA micro‑asks.
Router tuning: Insert first‑line personal hook; vary asks.

Upgraded prompt

Write **3 cold emails** for [offer] to [ICP].
Email 1: name the **patterned pain**; end with a 10‑min micro‑ask.
Email 2: social proof/insight (number/metric), 1 sentence case study.
Email 3: crisp ask with 2 time options.
Each ≤120 words, 5‑7 sentences, no fluff. Include a {First‑line personalization} placeholder.
Mode: [fast/deep].

7) LinkedIn Authority Post

Use when: Thought leadership for execs + builders.
Strengths: Structure, framework, prompt.
Gaps: Risk of buzzwords; no proof.
Router tuning: Require 1 mini‑case and 1 number.

Upgraded prompt

Write a LinkedIn post on [topic] for execs + builders:
- 3 punchy paragraphs (≤60 words each);
- 1 mini‑framework (3 bullets, named);
- 1 thought prompt (1 line);
- Include one concrete number or example; avoid buzzwords.
Mode: [fast/deep]. No hashtags unless asked.

8) X Post (Bold, No Hashtags)

Use when: High‑signal micro‑take.
Strengths: Tight character limit, bold stance.
Gaps: Might overrun chars; no proof token.
Router tuning: Enforce count; include 1 fact word/number.

Upgraded prompt

Write one confident X post on [insight/news]. ≤240 chars.
Format: HOOK — TAKEAWAY. Include **one** concrete fact or number.
No hashtags. No emoji at the end. Mode: [fast/deep].

9) YouTube Kit

Use when: Fast ideation + structure.
Strengths: Titles, open, chapters.
Gaps: Title length drift; missing viewer promise.
Router tuning: Enforce title count/length; add “who it’s for.”

Upgraded prompt

For a video on [topic], produce:
- **10 titles** (<60 chars);
- A two‑sentence cold open that states who it’s for and the promise;
- Chapter list with timestamps (estimate) and outcomes per chapter.
Mode: [fast/deep]. No clickbait lies.

10) Content Angle Generator

Use when: Topic expansion without repetition.
Strengths: Rich buckets.
Gaps: Duplicates; vague angles.
Router tuning: Enforce uniqueness + sample headline.

Upgraded prompt

List **25 distinct content angles** for [niche/product] across:
how‑to, contrarian, teardown, story, data, tutorial, tool, myth vs fact.
For each: 1‑line angle + a sample headline. No repeats. Mode: [fast/deep].

11) Product Spec from Idea

Use when: Move from idea to v1.
Strengths: Users, JTBD, metrics, scope.
Gaps: Test plan vague; acceptance criteria missing.
Router tuning: Add measurable acceptance + de‑scoping rules.

Upgraded prompt

Turn this idea into a lean product spec:
- Users & JTBD; key use cases;
- Success metrics (leading/lagging) with targets;
- V1 scope (must/should/could) and out‑of‑scope;
- Acceptance criteria (measurable);
- Test plan (happy path, edge, abuse).
Mode: [fast/deep]. ≤500 words.

12) UX Critique

Use when: Actionable UI improvements.
Strengths: Issues + fixes.
Gaps: Evidence often light; microcopy not tested.
Router tuning: Severity scale + before/after microcopy.

Upgraded prompt

Critique the UX of [flow/screen]. Deliver:
- 10 issues with severity ∈ {P0, P1, P2}, evidence, and concrete fix;
- A before→after microcopy table (3–5 rows);
- One quick win and one deeper redesign note.
Mode: [fast/deep].

13) CSV Data Brief

Use when: Shape an analysis plan before coding.
Strengths: Questions → steps → visuals.
Gaps: Schema ambiguity; data checks missing.
Router tuning: Add sanity checks + exact chart types.

Upgraded prompt

Given CSV schema: [columns], produce:
1) 5 decision‑driven questions;
2) Validation checks (types, nulls, outliers);
3) Analysis steps;
4) Exact visuals/tables to produce (chart type, axes, groupings).
Mode: [fast/deep]. No code unless asked.

14) Code from Spec

Use when: From spec to runnable core.
Strengths: Architecture, snippets, tests, edges.
Gaps: Env assumptions; complexity unbounded.
Router tuning: Pin language/runtime; include complexity notes.

Upgraded prompt

Given this spec: [paste], provide:
- Architecture diagram (text) and key components;
- Core code snippets in [language/runtime] with minimal deps;
- Tests (unit/integration) and fixtures;
- Failure/edge cases + graceful handling;
- Complexity & trade‑offs section.
Mode: [fast/deep]. Keep idiomatic.

15) Code Review + Refactor

Use when: Improve safety & clarity with a plan.
Strengths: Smells, hotspots, steps, tests.
Gaps: Lacks risk scoring; migration path unclear.
Router tuning: Add impact x effort; phased plan.

Upgraded prompt

Review this code: [paste]. Deliver:
- Findings by category (correctness, security, perf, clarity);
- Hotspots with complexity signals;
- Refactor plan in small, safe steps with tests;
- Risk/Impact vs Effort matrix (P0/P1/P2);
- Before/after snippet for 1 key function.
Mode: [fast/deep].

16) Strict JSON Every Time

Use when: Machine‑readable output required.
Strengths: Clear schema.
Gaps: No parser check; no enum constraints.
Router tuning: Include enums & validation note.

Upgraded prompt

Return **only valid JSON** for [task]. Schema:
{
  "title": "string",
  "summary": "string",
  "risks": ["string"],
  "actions": [ { "owner": "string", "step": "string", "eta": "YYYY-MM-DD" } ],
  "metrics": ["string"]
}
No prose. Validate keys, types, and date format before returning.

17) SOP / Checklist

Use when: Repeatable, low‑variance execution.
Strengths: Steps + gates + recovery.
Gaps: Timing windows; roles not explicit.
Router tuning: Add roles & time boxes.

Upgraded prompt

Draft a step‑by‑step SOP for [process]. Include:
- Prereqs & roles;
- Steps with time boxes;
- Quality gates with pass/fail checks;
- Common failure recovery & escalation ladder.
Mode: [fast/deep]. Output as a checklist.

18) Positioning & ICP

Use when: Sharpen message‑market fit.
Strengths: ICP, pains, alts, value prop, messages, pitch.
Gaps: Jobs vs pains; proof tokens missing.
Router tuning: Add JTBD & proof lines.

Upgraded prompt

Define positioning for [product]. Provide:
- ICP traits (firmographic + behavioral);
- JTBD and top pains (ranked);
- Alternatives (do‑nothing included);
- Value proposition (benefit + proof);
- 3 key messages;
- 3‑line elevator pitch.
Mode: [fast/deep].

19) Competitive Teardown

Use when: Side‑by‑side clarity.
Strengths: Features, UX, pricing, moat, switching costs, objections.
Gaps: Buyer role nuance; evidence weak.
Router tuning: Add role lens + cite artifacts.

Upgraded prompt

Compare [your product] vs [competitor] for [buyer role]. Cover:
- Features & UX (table);
- Pricing (typical deal sizes/TCO);
- Moat & switching costs;
- Buyer objections + crisp replies;
- Evidence links (docs, screenshots) if available.
Mode: [fast/deep].

20) Policy First Draft (Non‑Legal)

Use when: First pass policy with clarity.
Strengths: Rules, examples, do/don’t, escalation.
Gaps: No scope/authority; review cadence missing.
Router tuning: Add scope, owner, review cadence.

Upgraded prompt

Draft a **non‑legal** first‑pass policy for [topic]. Include:
- Scope & definitions; policy owner;
- Rules with examples; do/don’t lists;
- Compliance checks & escalation path;
- Exceptions process;
- Review cadence and change log placeholder;
- Legal review placeholder.
Mode: [fast/deep].

21) 7‑Day Learning Plan

Use when: Focused upskilling in a week.
Strengths: Daily objectives, resources, practice, quiz.
Gaps: Entry level varies; no capstone.
Router tuning: Add diagnostic + capstone.

Upgraded prompt

Build a 7‑day learning plan for [skill/exam]. Include:
- Day 0 diagnostic (what to skip/focus);
- Daily objectives, resources (≤3/day), and practice tasks;
- Daily self‑quiz (5 Qs) with expected answers;
- Day 7 capstone task with rubric.
Mode: [fast/deep].

22) Negotiation Prep

Use when: Plan the conversation before the room.
Strengths: Goals, walk‑away, BATNA, concessions, questions, opening.
Gaps: Counter‑plays; objection map missing.
Router tuning: Add opponent map + scripts.

Upgraded prompt

Create a negotiation brief for [deal]. Include:
- Goals; walk‑away; BATNA;
- Concession strategy (give/get);
- Questions to surface interests;
- Opening script;
- Objection map with counters;
- Opponent/alignment map (roles, power, interests).
Mode: [fast/deep].

23) Landing Page Copy

Use when: Write conversion‑first copy.
Strengths: Section list, direct tone.
Gaps: Segment nuance; FAQ weak.
Router tuning: Add segment option + proof elements.

Upgraded prompt

Write a landing page for [offer]. Sections:
- Headline + subhead (clear promise);
- Value bullets (3–6) with outcomes;
- Proof (logos, testimonial lines, metrics);
- CTA (primary + secondary);
- FAQ (5–7 Qs).
Optional: provide a variant for [segment].
Mode: [fast/deep].

24) Automation Blueprint

Use when: Design automations with ROI.
Strengths: Triggers, steps, data, errors, alerts, ROI.
Gaps: SLAs; run‑costs; auditability.
Router tuning: Add SLAs, idempotency, and cost model.

Upgraded prompt

Propose automations for [workflow]. Include:
- Triggers & prerequisites;
- Steps with systems & data sources;
- Error handling (retries, dead‑letter, idempotency);
- Alerts/observability (what, who, channel, thresholds);
- SLAs & run‑cost model;
- ROI estimate (baseline vs future, payback).
Mode: [fast/deep].

Bonus: Mini Switches You Can Add Anywhere

  • “Low‑randomness, no lateral riffs.” For deterministic outputs.
  • “Use a verification pass: compare output vs. constraints, fix before returning.”
  • “If citing, append a short sources list with titles + links.”
  • “Label assumptions explicitly if context is thin.”
  • “Return a ‘How to use this output’ note in one line.”

Final Notes

  • Keep the Router Header lean; the power comes from clear Output Contracts and tight constraints.
  • Prefer JSON when downstream automation is needed; prefer skimmable bullets when humans are the primary consumer.
  • If you need extra toughness, combine “adversarial” and “self‑check” lines.

Changelog v1.1 (this doc): Added threat models, self‑check, enum statuses, strict JSON variants, SLAs/costs for automation, and decision‑date/owner fields for memos.

Add the Microsoft Learn Docs MCP Server in Copilot Studio

Add Microsoft’s Learn Docs MCP server in Copilot Studio, verify the tool, and query official docs—fast, first-party, step-by-step.

UPDATE—August 8, 2025: You no longer need to create a custom connector for the Microsoft Learn Docs MCP server. Copilot Studio now includes a native Microsoft Learn Docs MCP Server under Add tool → Model Context Protocol.
This guide has been updated to show the first-party path. If your tenant doesn’t yet show the native tile, use the Legacy approach at the bottom.

What changed

  • No YAML or custom connector required
  • Fewer steps, faster setup

Model Context Protocol (MCP) is the universal “USB-C” port for AI agents. It standardizes how a model discovers tools, streams data, and fires off actions—no bespoke SDKs, no brittle scraping. Add an MCP server and your agent instantly inherits whatever resources, tools, and prompts that server exposes, auto-updating as the backend evolves.

  1. Why you should care
  2. What the Microsoft Learn Docs MCP Server delivers
  3. Prerequisites
  4. Step 1 – Add the native Microsoft Learn Docs MCP Server
  5. Step 2 – Validate
  6. Legacy approach (if the native tile isn’t available)

Why you should care

  • Zero-integration overhead – connect in a click inside Copilot Studio or VS Code; the protocol handles tool discovery and auth.
  • Future-proof – the spec just hit GA and already ships in Microsoft, GitHub, and open-source stacks.
  • Hallucination killer – answers are grounded in authoritative servers rather than fuzzy internet guesses.

What the Microsoft Learn Docs MCP Server delivers

  • Tools: microsoft_docs_search – fire a plain-English query and stream back markdown-ready excerpts, links, and code snippets from official docs.
  • Always current – pulls live content from Learn, so your agent cites the newest releases and preview APIs automatically.
  • First-party & fast — add it in seconds from the Model Context Protocol gallery; no OpenAPI import needed.

Bottom line: MCP turns documentation (or any backend) into a first-class superpower for your agents—and the Learn Docs server is the showcase. Connect once, answer everything.

Prerequisites

  • Copilot Studio environment with Generative Orchestration (might need early features on)
  • Environment-maker rights
  • Outbound HTTPS to learn.microsoft.com/api/mcp

Step 1 – Add the native Microsoft Learn Docs MCP Server

  1. Go to Copilot Studio: https://copilotstudio.microsoft.com/
  2. Go to Tools → Add tool.
  3. Select the Model Context Protocol pill.
  4. Click Microsoft Learn Docs MCP Server.
  5. Choose the connection (usually automatic) and click Add to agent.
  6. Confirm the connection status is Connected.
Copilot Studio Add tool panel showing Model Context Protocol category and Microsoft Learn Docs MCP Server tile highlighted.
  1. The MCP server should now show up in Tools.
  1. Click the Server to verify the tool(s) and to make sure:
    – ✅ Allow agent to decide dynamically when to use this tool
    – Ask the end user before running = No
    – Credentials to use = End user credentials

Step 2 – Validate

  1. In the Test your agent pane. Turn on Activity map by clicking the wavy map icon:

  2. Now try a prompt like:
    What MS certs should I look at for Power Platform?
    How can I extend the Power Platform CoE Starter Kit?
    What modern controls in Power Apps are GA and which are still in preview? Format as a table

Use-Case Ideas

  • Internal help-desk bot that cites docs.
  • Learning-path recommender (your pipeline example).
  • Governance bot that checks best-practice-links.

Troubleshooting Cheat-Sheet

  • Note that currently the Learn Docs MCP server does NOT require authentication. This will most likely change in the future.
  • If Model Context Protocol is not shown in your Tools for Copilot Studio. You may need to create an environment with Early Features turned on.
  • Do NOT reference the MCP server in the agents instructions, you will get a tool error.
  • Check Activity tab for monitoring

Legacy approach (if the native tile isn’t available)

Grab the Minimal YAML

  1. Open your favorite code editor or notepad. Copy and paste this YAML to a new file.
swagger: '2.0'
info:
  title: Microsoft Docs MCP
  description: Streams Microsoft official documentation to AI agents via Model Context Protocol
  version: 1.0.0
host: learn.microsoft.com
basePath: /api
schemes:
  - https
paths:
  /mcp:
    post:
      summary: Invoke Microsoft Docs MCP server
      x-ms-agentic-protocol: mcp-streamable-1.0
      operationId: InvokeDocsMcp
      consumes:
        - application/json
      produces:
        - application/json
      responses:
        '200':
          description: Success
  1. Save the file with .yaml extension.

Import a Custom Connector

Next we need to create a custom connector for the MCP server to connect to. We will do this by importing our yaml file we created in Step 1.

  1. Go to make.powerapps.com > Custom connectors > + New custom connector > Import OpenAPI.

  2. Upload your yaml file eg: ms-docs‑mcp.yaml, using the Import an OpenAPI file option.

  3. General tab: Confirm Host and Base URL.
    Host: learn.microsoft.com
    Base URL: /api
  4. Security tab > No authentication (the Docs MCP server is anonymously readable today).
  5. Definition tab > verify one action named InvokeDocsMcp is present.
    Also add a description.

  6. Click Create connector. Once the connector is created, click the Test tab, and click +New Connection.

    (Note, you may see more than 1 Operation after creating the connector. Don’t worry and continue on)
  7. When you create a connection, you will be navigated away from your custom connector. Verify your Connection is in Connected Status.

    Next we will wire this up to our Agent in Copilot Studio.