Open-source prompts, skills, and evaluation assets for building a mentor-style AI agent focused on Egyptian users.
A disciplined prompt pack for builders who want better diagnosis, tighter prioritization, and more honest follow-up than a generic advice bot can provide.
Most AI "coach" systems fail in the same way:
- they jump into advice too early
- they ask broad, repetitive questions
- they open too many paths at once
- they confuse motivation with strategy
- they generate plans that sound good but collapse in real life
egypt-mentor-agent is built to do the opposite.
It is designed to help an AI system answer questions like:
- What should this user focus on now?
- What is the actual bottleneck?
- What should happen next given time, money, and life constraints?
- What should the agent do when the user comes back with weak execution or changed reality?
The project is Egypt-first by default, but structured so the mentoring brain can be reused across different hosts and products.
| Typical AI advice bot | Egypt Mentor Agent |
|---|---|
| Gives advice before understanding the case | Builds a case map before serious planning |
| Offers many paths at once | Defaults to one real priority |
| Uses generic motivation language | Uses evidence, bottlenecks, and constraints |
| Treats planning as success | Treats execution evidence as success |
| Restarts the conversation every time | Preserves continuity when the host supports memory |
| Sounds helpful but stays vague | Produces reviewable next steps |
This repository is a host-agnostic prompt pack for a long-term mentor-style agent.
It is meant to be reused across:
- file-aware chat tools
- editor agents
- custom GPT-style environments
- local AI wrappers
- future runtime integrations
It currently includes:
- a bootstrap entrypoint
- a system prompt
- a response contract
- modular core skills
- modular domain skills
- governance guardrails
- realistic examples
- evaluation rubrics and dry runs
- builder-facing architecture notes
| Path | Purpose |
|---|---|
START-HERE.md |
Bootstrap entrypoint for hosts that support file loading or mentions |
prompts/system.md |
Core mentoring behavior and operating rules |
prompts/response-contract.md |
Internal quality contract for strong responses |
skills/core/ |
Reusable cross-domain decision and execution skills |
skills/domains/ |
Egypt-aware domain lenses such as real estate, fintech, ecommerce, and more |
governance/ |
Safety, memory, review, and long-term quality controls |
manifests/ |
Load order and host capability references |
examples/ |
Realistic worked cases that show intended behavior |
evaluations/ |
Checklists, scoring rubrics, and dry runs |
architecture/ |
Builder-facing structural references |
CONTRIBUTING.md |
Rules for extending the repo without breaking its philosophy |
flowchart TD
A[START-HERE.md] --> B[manifests/load-order.md]
B --> C[prompts/system.md]
B --> D[prompts/response-contract.md]
B --> E[skills/core]
B --> F[skills/domains]
B --> G[governance]
B --> H[architecture]
E --> I[Diagnosis, prioritization, execution, review]
F --> J[Real-estate, fintech, ecommerce, education, and more]
G --> K[Safety, memory, continuity, quality]
I --> L[Examples and evaluations]
J --> L
K --> L
- Start from
START-HERE.md - Follow
manifests/load-order.md - Load only the domain files relevant to the current case
- Manually load
START-HERE.mdinto the host context - Then follow
manifests/load-order.md - Preserve the same structure and behavior rules
- Read
examples/founder-no-revenue.md - Read
evaluations/dry-runs/founder-no-revenue-dry-run.md - Review
evaluations/checklist.md - Review
evaluations/scoring-rubric.md
- Egypt-first by default
- diagnosis before planning
- one main priority by default
- current-phase plans over giant roadmaps
- execution evidence over intention
- follow-up that reacts to reality, not wishful thinking
- actor-aware domain reasoning
- host-agnostic packaging
| Area | Coverage |
|---|---|
| Diagnosis | intake, guided questioning, case mapping |
| Decision quality | validation, monetization, prioritization |
| Execution | planning, focus, review, replanning |
| Human layer | behavior, friction, avoidance, continuity |
| Governance | safety, memory, review loops, update policy |
| Domain | Primary lens |
|---|---|
| Real estate | actor clarity, workflow value, monetization path |
| Fintech | trust, compliance friction, financial workflow value |
| Ecommerce | conversion, fulfillment, margin, repeat behavior |
| Education | learner vs buyer, attendance, outcomes, monetization |
| Career & work | employability, proof of capability, realistic path selection |
| Creator & media | attention vs trust vs monetizable value |
| Local services | inquiry-to-booking flow, quality, referrals, repeat |
| Healthcare | safety-first separation between operations and medical judgment |
| Tech | lane selection and Egypt-fit entry paths |
A strong implementation of this repo should consistently produce responses that:
- reduce confusion
- identify the real bottleneck
- fit the user's actual constraints
- avoid spreading effort across many tracks
- create a reviewable next step
- become smarter over time through continuity and evidence
This repo already includes:
- realistic examples in
examples/ - scoring assets in
evaluations/ - a worked dry run in
evaluations/dry-runs/
This repository does not currently ship with:
- a bundled runtime
- a UI
- a database or persistence layer
- a memory backend
- a hosted API
- a provider-specific integration
That is intentional. The goal is to keep the mentoring brain reusable across different environments.
Start here:
START-HERE.mdmanifests/load-order.mdprompts/system.mdprompts/response-contract.mdarchitecture/agent-spec.md
Start here:
CONTRIBUTING.mdexamples/README.mdevaluations/README.md
Contributions are welcome, but this project should stay disciplined.
Before changing behavior, read:
CONTRIBUTING.md
For meaningful changes, prefer updating at least one of:
- an example
- an evaluation artifact
That keeps the project grounded in real behavior instead of theory alone.
MIT License.
See LICENSE.