Rapid Domain Mastery

A portable Agent Skill for deep, multi-source learning across major AI coding agents.

Rapid Domain Mastery workflow infographic

What It Does

Rapid Domain Mastery is a structured reasoning workflow for tasks where a user needs to learn an unfamiliar field quickly from many sources. It goes far beyond plain summarization by executing a multi-phase analytical pipeline.

Every claim is tagged with epistemic labels ([Consensus], [Debate], [Open], [Gap], [Prereq], [Inference]) to prevent hallucinated confidence.

Supported Agents

This repository ships with native, compatibility, and manual adapters for the following agents and platforms. Support levels are deliberately tiered:

• native: the repo includes a host-specific skill path or documented first-class mechanism.
• native-compatible: the repo includes a compatible path or wrapper, but host behavior should be smoke-tested before broad claims.
• native-manual-install: the host supports the workflow concept, but users should import or install it through that host's documented flow.
• manual: the repo provides a prompt/conventions adapter, not native Agent Skills loading.
• directory-listed: listed by the Agent Skills ecosystem, but not independently vendor-verified here.

Additional agents listed by the Agent Skills directory (AMP, ClawdBot, Kilo, Trae, VS Code) are ecosystem compatibility signals, not file-path-level verification. See VERIFIED-SUPPORT-MATRIX.md and support/evidence.md for the full breakdown.

Quick Start

Do not clone this whole repository into a generic .skills/ folder. The host needs the skill files at the path it actually loads.

Option 1 — Codex / AGENTS-compatible projects:

git clone https://github.com/Emily2040/rapid-domain-mastery.git /tmp/rapid-domain-mastery
mkdir -p .agents/skills
cp -R /tmp/rapid-domain-mastery/.agents/skills/rapid-domain-mastery .agents/skills/
cp /tmp/rapid-domain-mastery/AGENTS.md .

Option 2 — Claude Code:

git clone https://github.com/Emily2040/rapid-domain-mastery.git /tmp/rapid-domain-mastery
mkdir -p .claude/skills
cp -R /tmp/rapid-domain-mastery/.claude/skills/rapid-domain-mastery .claude/skills/
cp /tmp/rapid-domain-mastery/CLAUDE.md .

Option 3 — GitHub Copilot coding agent:

git clone https://github.com/Emily2040/rapid-domain-mastery.git /tmp/rapid-domain-mastery
mkdir -p .github/skills
cp -R /tmp/rapid-domain-mastery/.github/skills/rapid-domain-mastery .github/skills/
cp /tmp/rapid-domain-mastery/.github/copilot-instructions.md .github/

Option 4 — Install via skills.sh where the package is listed and your client supports it:

skills install rapid-domain-mastery

Option 5 — Copy the files you need manually:

1. Copy AGENTS.md and .agents/skills/rapid-domain-mastery/ into your project root.
2. Add the thin wrapper for your agent (e.g., CLAUDE.md, .cursor/rules/, .kiro/steering/).
3. Done.

Example Prompt

Use rapid-domain-mastery on this corpus of papers, docs, and notes.
I need a field map, the 3-5 core expert mental models, real debates,
hidden assumptions, prerequisite ladder, diagnostic questions, and a
two-week study sprint.

Repository Structure

.
├── AGENTS.md                          # Universal persistent guidance
├── CLAUDE.md                          # Claude Code thin wrapper
├── GEMINI.md                          # Gemini CLI thin wrapper
├── LICENSE                            # MIT License
├── README.md                          # This file
│
├── .agents/skills/rapid-domain-mastery/   # Canonical skill source
│   ├── SKILL.md                           # Skill entry point (< 500 chars)
│   ├── references/                        # Progressive-disclosure modules
│   │   ├── 00-orchestrator.md             # Main workflow router
│   │   ├── 00-routing-and-boundaries.md   # When to use / not use
│   │   ├── 10-input-contract.md           # Input normalization
│   │   ├── 20-corpus-audit.md             # Source quality assessment
│   │   ├── 30-field-cartography.md        # Domain mapping
│   │   ├── 40-mental-model-extraction.md  # Expert model extraction
│   │   ├── 50-debate-cartography.md       # Disagreement mapping
│   │   ├── 60-assumption-mining.md        # Hidden assumption detection
│   │   ├── 70-prerequisite-ladder.md      # Learning sequence
│   │   ├── 80-diagnostic-question-design.md
│   │   ├── 90-tutor-loop.md              # Interactive drilling
│   │   ├── 100-study-sprint-planner.md
│   │   ├── 110-application-and-transfer.md
│   │   ├── 120-domain-adapters.md
│   │   ├── 130-mcp-and-tooling.md
│   │   ├── 140-output-templates.md
│   │   ├── 150-quality-gates.md
│   │   └── 160-failure-modes.md
│   ├── templates/                     # Structured output templates
│   └── scripts/                       # Skill-local helper scripts
│
├── .claude/ .cursor/ .kiro/ ...       # Agent-specific mirrors & wrappers
├── adapters/                          # Manual adapters (Aider, Continue, etc.)
├── docs/assets/                       # README and documentation images
├── .github/workflows/                 # Pack validation CI
├── interop/                           # A2A / ACP / MCP interop notes
├── scripts/                           # Repo-level maintenance scripts
│   ├── validate_pack.py               # Mirror parity + structural checks
│   ├── sync_adapters.py               # Sync canonical → all mirrors
│   ├── check_local_links.py            # Markdown local-link checker
│   └── corpus_inventory.py             # Inventory helper
└── support/                           # Verification metadata
    ├── support-matrix.json
    ├── support-matrix.csv
    └── verification-notes.md

Validation

Run the built-in validation to confirm all mirrors are in sync and structural rules are met:

python3 scripts/validate_pack.py
python3 scripts/check_local_links.py

To re-sync all agent mirrors from the canonical source after making changes:

python3 scripts/sync_adapters.py --dry-run
python3 scripts/sync_adapters.py
python3 scripts/validate_pack.py   # always validate after sync

Key Documentation

Maintenance

When updating the skill workflow:

1. Edit only the canonical source in .agents/skills/rapid-domain-mastery/.
2. Run python3 scripts/sync_adapters.py to propagate changes.
3. Run python3 scripts/validate_pack.py to verify.
4. Update support/support-matrix.json if agent compatibility changes.

When vendor documentation changes, update the relevant wrapper and the support matrix. Keep the canonical skill semantics stable; change only wrappers and install notes unless the reasoning workflow itself needs improvement.

Author

Created by Iamemily2050

• GitHub
• Website
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License

MIT — Copyright (c) 2026 Iamemily2050