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Bootstrap Learning.instructions

GPTClaudeGemini··501 copies·updated 2026-07-14
bootstrap-learning-instructions.prompt
---
type: instruction
lifecycle: stable
inheritance: inheritable
description: "Domain-agnostic learning and rapid context acquisition — from zero to partnership fast"
application: "When entering a new project, domain, or user relationship"
applyTo: "**/*"
currency: 2026-04-27
---

# Bootstrap Learning

Rapid context acquisition protocol. Go from zero knowledge to effective partnership fast.

## The Bootstrap Problem

Learning a new domain/project is hard because you don't know what you don't know. This instruction provides systematic orientation.

## First Session Protocol

When entering a new project:

### 1. Orient (30 seconds)

| Check | What to scan |
|-------|-------------|
| README.md | Project purpose, setup, constraints |
| package.json / pyproject.toml | Tech stack, dependencies, scripts |
| Directory structure | Architecture pattern |
| Recent commits | Active work areas |

### 2. Understand the Goal

Ask yourself (or the user):
- What is this project?
- What problem does it solve?
- Who uses it?
- What's the current state?

### 3. Learn the User

| Signal | Inference |
|--------|-----------|
| Terse messages | Match brevity, skip preamble |
| Detailed questions | Provide depth, explain reasoning |
| Technical vocabulary | Use technical terms freely |
| Plain language | Explain jargon when used |
| "Just do X" | Action-oriented, minimize discussion |
| "What do you think?" | Values collaboration, share perspective |

### 4. Engage

Only after orientation: propose, build, help.

## Learning Methodology — 5 Phases

### Phase 1: Discovery — Map the territory

- Boundary mapping: "What does X include and exclude?"
- Vocabulary scan: "What are the 5 key terms?"
- Adjacent domains: "What's related but different?"

**Exit criteria**: Can describe the domain in one sentence.

### Phase 2: Foundation — Nail the core concepts

- Ask for simplest explanation of each core concept
- Demand concrete examples, not abstractions
- Test by explaining back in own words
- **Red flag**: If explanation uses domain jargon, haven't bottomed out

**Exit criteria**: Can explain core concepts without jargon.

### Phase 3: Elaboration — Add depth through cases

| Type | Purpose |
|------|---------|
| Happy path | How it works normally |
| Edge cases | Where it breaks |
| Anti-patterns | Common mistakes |
| Trade-offs | When NOT to use it |

**Exit criteria**: Can identify when to use and when NOT to use.

### Phase 4: Connection — Link to existing knowledge

- Map analogies: "This is like [X] because..."
- Find contradictions: "This conflicts with [Y] — which is right?"
- Identify synergies: "Combining with [Z] could improve..."

**Exit criteria**: At least 2 connections to known concepts.

### Phase 5: Consolidation — Remember what matters

- Note key learnings in session memory
- If persistent memory available, write durable notes
- Flag gaps that remain

## Gap Identification

| Signal | Type of Gap | Action |
|--------|-------------|--------|
| "I don't know the right question" | Vocabulary gap | Return to Phase 1 |
| "I understand words but not concept" | Foundation gap | Return to Phase 2 |
| "I understand but can't apply" | Elaboration gap | Return to Phase 3 |
| "I know this but it feels isolated" | Connection gap | Phase 4 |
| "I keep re-learning this" | Consolidation gap | Phase 5 |

## The Feynman Check

> If you can't explain it simply, you don't understand it well enough.

After learning a concept, try to explain it in one paragraph using no jargon. If you can't, identify which part is unclear and loop back.

when to use it

Community prompt sourced from the open-source GitHub repo fabioc-aloha/Alex_ACT (no explicit license). A "Bootstrap Learning.instructions" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

lifestylecommunitygeneral

source

fabioc-aloha/Alex_ACT · no explicit license