ai-consultants

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SUMMARY

Multi-model AI deliberation system querying 12 AI consultants (Gemini, Codex, Claude, Mistral, Ollama, etc.) in parallel. Features unique personas, confidence scoring, multi-agent debate, weighted synthesis, presets, and self-exclusion. Claude Code skill compatible with agentskills.io

README.md

AI Consultants v2.23.0

A harness for every question. A panel of up to 11 frontier models that writes its own playbook per question — fan out, debate to convergence, cross-examine under adversarial review, or run a tournament — and checks its work before it reaches you.

Version
License
Claude Code Skill
GitHub stars
agentskills.io


Table of Contents


Why AI Consultants?

A single model gives you a single guess. AI Consultants gives you a panel that deliberates — and adapts how it deliberates to the question in front of it.

Instead of running a fixed script, it classifies your question, picks an orchestration shape, and iterates until the answers hold up — the way a workflow builds a harness for the task at hand:

  • Dynamic orchestration — the engine chooses the strategy per question: a quick read, a convergence loop, an adversarial refutation gate, a tournament of approaches, or an exhaustive sweep
  • Convergence, not fixed rounds — debate iterates until the panel actually agrees (or provably won't), instead of a hardcoded count
  • Self-checking — security answers are stress-tested by consultants trying to refute them before anything reaches you
  • 11 supported consultants with distinct personas (Architect, Pragmatist, Devil's Advocate, …)
  • Confidence-weighted synthesis — one recommendation, with the dissent and the path it took surfaced so you know how much to trust it

Quick Start

Get started in 30 seconds:

Option A: npx (recommended)

# Run directly - no install needed
npx ai-consultants "How should I structure my authentication system?"

# With a preset
npx ai-consultants --preset balanced "Redis or Memcached?"

# Run diagnostics
npx ai-consultants doctor --fix

# Install slash commands for Claude Code
npx ai-consultants install

Option B: curl | bash (Claude Code skill)

# Install the skill
curl -fsSL https://raw.githubusercontent.com/matteoscurati/ai-consultants/main/scripts/install.sh | bash

# Ask your first question
/ai-consultants:consult "How should I structure my authentication system?"

Update & Uninstall

# npx always runs latest (or pin a version)
npx ai-consultants@latest "question"

# curl | bash update
~/.claude/skills/ai-consultants/scripts/install.sh --update

# Uninstall (curl | bash only)
~/.claude/skills/ai-consultants/scripts/install.sh --uninstall

Prerequisites

Before installing AI Consultants, ensure you have the following dependencies installed.

Required Dependencies

Dependency Purpose
jq JSON processing
curl HTTP requests and connectivity
Bash 4.0+ Script execution (macOS ships with 3.2)

Installation by Platform

macOS

# Install Homebrew if not already installed
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"

# Install required dependencies
brew install jq bash coreutils

# Verify installation
jq --version && bash --version | head -1

Note: macOS ships with Bash 3.2. The Homebrew version (4.x) is installed to /opt/homebrew/bin/bash.

Linux (Ubuntu/Debian)

# Install required dependencies
sudo apt-get update
sudo apt-get install -y jq curl bash

# Verify installation
jq --version && bash --version | head -1

Linux (Fedora/RHEL/CentOS)

# Install required dependencies
sudo dnf install -y jq curl bash

# Verify installation
jq --version && bash --version | head -1

Linux (Arch)

# Install required dependencies
sudo pacman -S jq curl bash

# Verify installation
jq --version && bash --version | head -1

Windows

Use WSL (Windows Subsystem for Linux):

# Install WSL (run in PowerShell as Administrator)
wsl --install

# After restart, open WSL and follow Linux instructions
sudo apt-get update
sudo apt-get install -y jq curl bash

Alternatively, use Git Bash or MSYS2 with the required packages.

Optional Dependencies

For CLI-based consultants, you'll also need:

Dependency Required for
Node.js 18+ Gemini CLI, Codex CLI, Qwen CLI, MiniMax CLI
Python 3.8+ Mistral Vibe CLI
# macOS
brew install node python

# Ubuntu/Debian
sudo apt-get install -y nodejs npm python3 python3-pip

# Verify
node --version && python3 --version

Verify All Prerequisites

Run the doctor command to check everything is installed:

./scripts/doctor.sh

Supported CLI Agents

AI Consultants follows the open Agent Skills standard, enabling cross-platform compatibility.

Claude Code

Status: ✅ Native support

Installation:

curl -fsSL https://raw.githubusercontent.com/matteoscurati/ai-consultants/main/scripts/install.sh | bash

Slash Commands:

Command Description
/ai-consultants:consult Main consultation - ask AI consultants a coding question
/ai-consultants:debate Run consultation with multi-round debate
/ai-consultants:help Show all commands and usage

Configuration (presets, strategies, features, personas, API keys) can be managed via natural language — just ask.

Self-Exclusion: Claude consultant is automatically excluded when invoked from Claude Code.

Verify:

./scripts/doctor.sh

OpenAI Codex CLI

Status: ✅ Compatible

Installation:

git clone https://github.com/matteoscurati/ai-consultants.git ~/.codex/skills/ai-consultants
~/.codex/skills/ai-consultants/scripts/doctor.sh --fix

Commands:

Use the same slash commands as Claude Code. Codex CLI loads skills from ~/.codex/skills/.

Self-Exclusion: Codex consultant is automatically excluded when invoked from Codex CLI.

Verify:

~/.codex/skills/ai-consultants/scripts/doctor.sh

Gemini CLI

Status: ✅ Compatible

Installation:

git clone https://github.com/matteoscurati/ai-consultants.git ~/.gemini/skills/ai-consultants
~/.gemini/skills/ai-consultants/scripts/doctor.sh --fix

Commands:

Use the same slash commands as Claude Code. Gemini CLI loads skills from ~/.gemini/skills/.

Self-Exclusion: Gemini consultant is automatically excluded when invoked from Gemini CLI.

Verify:

~/.gemini/skills/ai-consultants/scripts/doctor.sh

Cursor / Copilot / Windsurf (via SkillPort)

Status: ✅ Via SkillPort

Installation:

# Install SkillPort if not already installed
npm install -g skillport

# Add AI Consultants skill
skillport add github.com/matteoscurati/ai-consultants

# Load skill in your agent
skillport show ai-consultants

Or clone and use the included installer:

git clone https://github.com/matteoscurati/ai-consultants.git
cd ai-consultants
./scripts/skillport-install.sh

Commands:

SkillPort translates skill commands to the native agent format.

Self-Exclusion: Cursor consultant is automatically excluded when invoked from Cursor.

Verify:

skillport status ai-consultants

Standalone Bash

Status: ✅ Direct execution

Installation:

git clone https://github.com/matteoscurati/ai-consultants.git
cd ai-consultants
./scripts/doctor.sh --fix
./scripts/setup_wizard.sh

Commands:

# Basic consultation
./scripts/consult_all.sh "How to optimize this function?" src/utils.py

# With preset
./scripts/consult_all.sh --preset balanced "Redis or Memcached?"

# With debate
ENABLE_DEBATE=true DEBATE_ROUNDS=2 ./scripts/consult_all.sh "Microservices vs monolith?"

# With smart routing
ENABLE_SMART_ROUTING=true ./scripts/consult_all.sh "Bug in auth code"

# Follow-up questions
./scripts/followup.sh "Can you elaborate on that point?"
./scripts/followup.sh -c Gemini "Show me code example"

Self-Exclusion: Set INVOKING_AGENT environment variable:

INVOKING_AGENT=claude ./scripts/consult_all.sh "Question"   # Claude excluded
INVOKING_AGENT=codex ./scripts/consult_all.sh "Question"    # Codex excluded
./scripts/consult_all.sh "Question"                          # No exclusion

Verify:

./scripts/doctor.sh

Consultants

CLI-Based Consultants

Consultant CLI Persona Focus
Google Gemini agy The Architect Design patterns, scalability, enterprise
OpenAI Codex codex The Pragmatist Simplicity, quick wins, proven solutions
Mistral Vibe vibe The Devil's Advocate Problems, edge cases, vulnerabilities
Cursor agent The Integrator Full-stack perspective
Kimi K3 kimi The Eastern Sage Holistic, balanced perspectives
Claude claude The Synthesizer Big picture, synthesis, connecting ideas
Qwen3 qwen The Analyst Data-driven analysis
MiniMax mmx The Pragmatic Optimizer Performance, efficiency, pragmatism

Qwen3 and MiniMax can switch from their CLI to API transport. Gemini, Codex,
Claude, and Mistral are also CLI/API switchable.

API-Only Consultants

Consultant Default Model Persona Focus
GLM glm-5.2 The Methodologist Structured approaches
Grok grok-4.5 The Provocateur Challenge conventions
DeepSeek deepseek-v4-pro The Code Specialist Algorithms, code generation

Installing Consultant CLIs

At least 2 consultant CLIs are required:

curl -fsSL https://antigravity.google/cli/install.sh | bash  # Gemini (Antigravity CLI: agy)
npm install -g @openai/codex           # Codex
pip install mistral-vibe               # Mistral
curl https://cursor.com/install -fsS | bash  # Cursor

# Optional CLI-based consultants
curl -L code.kimi.com/install.sh | bash            # Kimi K3
npm install -g @qwen-code/qwen-code@latest  # Qwen (alternative to API)
npm install -g mmx-cli                       # MiniMax

Kimi is pinned to K3 for every consultation, even if the user's Kimi CLI has a
different default model:

KIMI_MODEL=kimi-code/k3 ai-consultants \
  "Review this API design from a holistic perspective"

Quality Tiers

Choose the right balance of quality, speed, and cost with model quality tiers.

Tier Presets

Preset Tier Agents Use Case
max_quality Premium 8 of 11 Critical decisions
medium Standard 4 General questions
fast Economy 2 Quick checks

Deliberation depth is not fixed by the preset. Under the default
ORCHESTRATION_MODE=auto the planner picks the shape per question, so the
DEBATE_ROUNDS a preset pins applies only under ORCHESTRATION_MODE=fixed,
and a SECURITY-classified question runs the adversarial shape — including a
peer-review round — whatever preset you chose. max_quality additionally
enables peer review outright; medium and fast do not clear it, so an
enabled peer review carries into them.

Models by Tier

Consultant Premium Standard Economy
Claude claude-opus-4-8 claude-sonnet-4-6 claude-haiku-4-5
Gemini Gemini 3.1 Pro (High) Gemini 3.5 Flash (High) Gemini 3.5 Flash (Low)
Codex gpt-5.5 gpt-5.4 gpt-5.4-nano
Mistral mistral-large-3 mistral-medium-latest devstral-small-2
Cursor composer-2.5 composer-2 gemini-3-flash
DeepSeek deepseek-v4-pro deepseek-v4-flash deepseek-v4-flash
GLM glm-5.2 glm-5.2 glm-4-flash
Grok grok-4.5 grok-4.1-fast grok-4.1-fast
Qwen3 qwen3.7-max qwen3.6-35b-a3b qwen3-32b
Kimi kimi-code/k3 kimi-code/k3 kimi-code/k3
MiniMax MiniMax-M2.7 MiniMax-M2.7 MiniMax-M2.5

Usage

Claude Code:

/ai-consultants:consult --preset max_quality "critical architecture decision"
/ai-consultants:consult --preset fast "quick syntax question"

Bash:

./scripts/consult_all.sh --preset max_quality "microservices vs monolith?"
./scripts/consult_all.sh --preset fast "how to use async/await?"

# Programmatic tier selection
source scripts/config.sh
apply_model_tier "premium"   # Set all to premium models
apply_model_tier "economy"   # Set all to economy models

Configuration

Presets

Choose how many consultants to use:

Preset Consultants Tier Use Case
max_quality 8 of 11 (+ peer review) Premium Critical decisions
medium 4 Standard General questions
fast 2 Economy Quick checks
minimal 2 (Gemini + Codex) Default Quick questions, low cost
balanced 4 (+ Mistral + Cursor) Default Standard consultations
thorough 4 Default Comprehensive analysis
high-stakes Expanded panel + debate Default Critical decisions
security Security-focused + debate Default Security reviews
cost-capped Budget-conscious Default Minimal API costs

Bash:

./scripts/consult_all.sh --preset balanced "Question"

Synthesis Strategies

Control how responses are combined:

Strategy Description
majority Most common answer wins (default)
risk_averse Weight conservative responses higher
security_first Prioritize security considerations
cost_capped Prefer simpler, cheaper solutions
compare_only No recommendation, just comparison

Bash:

./scripts/consult_all.sh --strategy risk_averse "Question"

Environment Variables

Automatic configuration (recommended):

# Detect installed CLIs and available API keys, then write the persistent config
ai-consultants configure

# Review the consultant selection and transports interactively
ai-consultants configure --interactive

# Set any persistent parameter without opening an editor
ai-consultants configure \
  --set DEFAULT_PRESET=balanced \
  --set ENABLE_DEBATE=true \
  --set ORCHESTRATION_MODE=converge

# Inspect the complete machine-readable parameter surface
ai-consultants configure --show-parameters

The configurator covers every persistent setting in scripts/config.sh, plus
credentials, persona overrides, transport controls, advanced context knobs, and
calibration commands. Existing custom values and secrets are preserved, while
ENABLE_* flags are refreshed from detected availability (and can be pinned
with --set). Rewrites create a private timestamped backup. Use --advanced to
review every parameter or --dry-run to preview a redacted result.
Auto-selected *_USE_API values are marked # ai-consultants:auto, allowing a
later run to adapt when a CLI or credential changes. Environment variables,
--set, and unmarked values remain explicit user choices.

Enter credentials through --interactive/--advanced or export them before the
run; avoid passing API keys through --set, where the shell may retain them in
history or expose them in the process list.

For a manual starter template instead, run ai-consultants init and edit
~/.config/ai-consultants/.env.

For ad-hoc overrides without persisting, the most common knobs:

DEFAULT_PRESET=balanced      # minimal | balanced | thorough | high-stakes | fast | security
DEFAULT_STRATEGY=majority    # majority | risk_averse | security_first | cost_capped | compare_only
ENABLE_DEBATE=true           # Multi-agent debate (auto-skipped when consensus is high since v2.13)
MAX_SESSION_COST=1.00        # USD budget cap (paired with ENABLE_BUDGET_LIMIT=true to enforce)
KIMI_MODEL=kimi-code/k3      # Pin the Kimi consultant to K3

Full reference: references/configuration.md. Copy-paste workflows: docs/RECIPES.md. For category-aware preset suggestions: ai-consultants doctor --suggest-preset --question "...".

Configuration Recipes

Dynamic debate until convergence:

ENABLE_DEBATE=true \
ORCHESTRATION_MODE=converge \
CONVERGENCE_MAX_ROUNDS=4 \
CONVERGENCE_TARGET_CONSENSUS=75 \
ai-consultants --strategy risk_averse \
  "Event log or mutable relational state for this service?"

Repeatable two-round review:

ENABLE_DEBATE=true \
ORCHESTRATION_MODE=fixed \
DEBATE_ROUNDS=2 \
ENABLE_DEBATE_OPTIMIZATION=false \
ai-consultants "Review this migration plan" docs/migration.md@PRIMARY

Security review with adversarial verification:

ENABLE_DEBATE=true \
ORCHESTRATION_MODE=adversarial \
ENABLE_PEER_REVIEW=true \
ai-consultants --preset security --strategy security_first \
  "Find authentication bypasses" src/auth.ts@PRIMARY

Live health gate plus hard quorum:

ENABLE_HEALTH_GATE=true \
QUORUM_MIN=3 \
QUORUM_ACTION=stop \
ai-consultants "Make a release recommendation"

See 13 complete recipes for fast, high-stakes, tournament,
exhaustive audit, budget-capped, CLI-only, hybrid API, semantic-consensus, and
large-context workflows.

Doctor Command

Diagnose, suggest, and fix:

ai-consultants doctor                                          # Installation and configuration checks
ai-consultants doctor --fix                                    # Auto-fix common issues
ai-consultants doctor --json                                   # JSON for automation
ai-consultants doctor --live                                   # Real ping per consultant — catches installed-but-unauthenticated CLIs
ai-consultants doctor --suggest-config                         # Print recommended ENABLE_* based on detected CLIs
ai-consultants doctor --suggest-preset --question "..."        # Recommend preset + strategy for a question
ai-consultants update-clis                                     # Check & update every installed consultant CLI
ai-consultants update-clis --dry-run                           # Preview: each CLI's install method + update command

When a consultant fails mid-consultation, the run surfaces the captured reason (e.g. CLI not found, 401 Unauthorized) instead of a bare "Failed", so you can tell not installed from not authenticated from transient.


How It Works

Classify -> Plan shape -> Fan out -> Deliberate & converge -> Synthesize
   |            |             |               |
 category   orchestration  Gemini (8)    convergence loop /
 complexity    shape       Codex (7)     adversarial gate /
 intent                    Mistral (6)   tournament / exhaustive
                           Cursor (9)

The shape is chosen per question (or pinned via ORCHESTRATION_MODE):

Shape When What happens
quick simple questions one fan-out, no debate
converge most questions debate rounds until consensus is reached (not a fixed count)
adversarial security a forced critique round + peer-review refutation gate
tournament "compare X vs Y" converge, then declare a single winning approach
exhaustive "find all / audit" loop until a round surfaces no new angle

Set ORCHESTRATION_MODE=fixed for the classic fixed-round pipeline.

Consensus is measured lexically by default; set ENABLE_STANCE_CONSENSUS=true
(opt-in, v2.21) to have the panel pick from a shared set of enumerated stance
options and score agreement by exact match instead — see
references/configuration.md.

With peer review:

Responses -> Anonymize -> Peer Ranking -> De-anonymize -> Peer Scores

Output

Each consultation generates:

/tmp/ai_consultations/TIMESTAMP/
├── gemini.json          # Individual responses
├── codex.json           #   with confidence scores
├── mistral.json
├── cursor.json
├── voting.json          # Consensus calculation
├── synthesis.json       # Weighted recommendation
├── report.md            # Human-readable report
└── round_2/             # (if debate enabled)

Best Practices

When to Use High-Stakes Mode

  • Architectural decisions affecting system design
  • Security-critical code changes
  • Performance-critical optimizations
  • Decisions that are difficult to reverse

Interpreting Results

Scenario Recommendation
High confidence + High consensus Proceed with confidence
Low confidence OR Low consensus Consider more options
Mistral (Devil's Advocate) disagrees Investigate the risks
Panic mode triggered Add more consultants or debate rounds

Security

  • Never include credentials or API keys in queries
  • Review and redact sensitive code before sending it to any external consultant
  • Files in /tmp are automatically cleaned up

Documentation


Changelog

v2.23.0

  • ENABLE_REFLECTION and REFLECTION_CYCLES removed. The self-reflection module they controlled was never called by anything, so the settings had never affected a consultation — v2.16's converge and adversarial shapes already run critique-refine off measured consensus. If you set either key, remove it: configure --set ENABLE_REFLECTION=... now exits non-zero, and both keys are dropped when an existing .env is rewritten.
  • The release gate works again. Two test suites failed deterministically against any real user configuration, so no release since 2.22.0 could pass its own npm test.
  • npm test no longer swallows failures. A failing assertion followed by a passing one inside the same test function was counted as a pass, across 8 of 13 test functions.
  • Feature flags can no longer be enrolled as consultants. A registry that told feature flags apart from custom API agents was 18 entries out of date; it is now complete and pinned by a test.
  • Preset tables corrected — they described a debate and peer-review depth the code has not enforced since v2.16, and called high-stakes/max_quality "all consultants" when they enable 5 and 8 of 11. See the v2.23.0 release note.

v2.22.0

  • ai-consultants configure: a public automatic configurator. It detects your installed CLIs and API keys, picks CLI-first transports, and writes a private XDG config while preserving your existing settings and secrets. Drive it with repeatable --set KEY=VALUE, review it with --interactive / --advanced, or preview it with --dry-run. See the v2.22.0 release note.

v2.21.1

  • Kimi K3: Kimi now defaults to kimi-code/k3, and the adapter passes the model explicitly with --model.
  • Focused 11-consultant roster: Kilo, Aider, Amp, and Ollama were removed end-to-end, including their adapters and configuration variables. See the v2.21.1 release note for migration guidance.

v2.15.1

  • Gemini fixes (Antigravity CLI): the default model (Gemini 3.1 Pro (High)) wraps its JSON in a ```json fence; v2.15.0 didn't strip it, so every Gemini reply degraded to a generic fallback. Now de-fenced on all paths (response processing, self-reflection, synthesis).
  • Works out-of-the-box for npx: Gemini auto-selects API mode when GEMINI_API_KEY is set (the agy CLI can't be npm-installed and is OAuth-only), so a key-only environment no longer silently drops Gemini.
  • Synthesis no longer hangs when agy is the synthesizer (it was launched interactively instead of in print mode).

v2.10.0

  • MiniMax M2.5 support: New API-based consultant with "The Pragmatic Optimizer" persona
  • 15 consultants total: Gemini, Codex, Mistral, Kilo, Cursor, Aider, Amp, Kimi, Claude, Qwen3, GLM, Grok, DeepSeek, MiniMax, Ollama
  • npx distribution: npx ai-consultants "question" - run directly without install
  • npm packaging: package.json with zero dependencies, .npmignore for clean publishing

v2.8.1

  • Bug fixes: Fixed ((count++)) abort under set -e, missing Amp in consultant map, hardcoded claude in synthesize.sh
  • Security: Variable name validation before export in escalation and cost-aware routing
  • DRY refactoring: Rewrote query_kilo.sh and query_cursor.sh using shared process_consultant_response(); added get_model_for_tier() as single source of truth

v2.8.0

  • Amp CLI support: New consultant with "The Systems Thinker" persona
  • 13 consultants total: Gemini, Codex, Mistral, Kilo, Cursor, Aider, Amp, Claude, Qwen3, GLM, Grok, DeepSeek, Ollama
  • Installation: curl -fsSL https://ampcode.com/install.sh | bash

v2.7.0

  • Qwen CLI support: CLI/API mode switching for Qwen3 via qwen-code
  • 5 switchable agents: Gemini, Codex, Claude, Mistral, and now Qwen3 support CLI/API mode
  • CLI default: QWEN3_USE_API defaults to false (CLI mode via qwen-code)

v2.6.0

  • CLI/API mode switching: Gemini, Codex, Claude, and Mistral can switch between CLI and API mode
  • New environment variables: *_USE_API and *_API_URL for each switchable agent
  • Unified API query module: lib/api_query.sh for consistent API handling

v2.5.0

  • Model quality tiers: Premium, standard, and economy tiers for all consultants
  • New presets: max_quality, medium, fast for quick tier selection
  • Premium defaults: All consultants now use premium models by default (March 2026)
  • apply_model_tier() function: Programmatically switch all models to a tier
  • Updated models: opus-4.6, gemini-3.1-pro-preview, gpt-5.3-codex, mistral-large-3, etc.

v2.4.0

  • Budget enforcement: Optional budget limits with configurable actions (warn/stop)
  • Budget checks: 4 enforcement points (before/after consultation, debate, synthesis)
  • Budget configuration: Configurable via natural language or environment variables

v2.3.0

  • Semantic caching: Cache responses to avoid redundant API calls (15-25% savings)
  • Cost-aware routing: Route simple queries to cheaper models (30-50% savings)
  • Fallback escalation: Auto-escalate to premium model if confidence < 7
  • Debate optimization: Skip debate if all consultants agree (opt-in)
  • Category exceptions: SECURITY/ARCHITECTURE always trigger debate
  • Quality monitoring: optimization_metrics.json tracks optimization impact
  • Compact reports: Shorter reports by default (summaries only)
  • Response limits: Per-category token limits (opt-in)

v2.2.0

  • Claude consultant: New consultant with "The Synthesizer" persona
  • Self-exclusion: Invoking agent automatically excluded from panel
  • Presets: Quick configuration with --preset minimal/balanced/high-stakes/security
  • Doctor command: Diagnostic and auto-fix tool
  • Synthesis strategies: --strategy majority/risk_averse/security_first/compare_only
  • Confidence intervals: Statistical confidence ranges (e.g., "8 +/- 1.2")
  • Anonymous peer review: Unbiased evaluation of responses
  • Ollama support: Local model inference for privacy
  • Panic mode: Automatic rigor when uncertainty detected
  • One-liner install: curl | bash installation

v2.1.0

  • New consultants: Aider, DeepSeek
  • 17 configurable personas
  • Token optimization with AST extraction

v2.0.0

  • Persona system with 15 predefined roles
  • Confidence scoring (1-10) on every response
  • Auto-synthesis with weighted recommendations
  • Multi-Agent Debate (MAD)
  • Smart routing by question category
  • Session management and cost tracking

License

MIT License - see LICENSE for details.

Contributing

Contributions welcome! See CONTRIBUTING.md for guidelines.

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