Oracle Prism logo

Oracle Prism

Organization
Soul-Brews-Studio
oracle-prism

Multi-perspective analysis — one agent transforms through 5 lenses (Archaeologist, Bug Hunter, Skeptic, Architect, Auditor) inline, no subagents. Use when user says "prism", "oracle-prism", "multi-perspective", "มองหลายมุม", "did we miss anything", "analyze from all angles", or before closing a session/migration/design decision. Presets: --preset retro/design/incident, --lenses N, --custom. Do NOT trigger for adversarial disproving (use /adversarial-analysis) or plain retrospectives (use /rrr).

Overview

PublisherSoul-Brews-Studio
Repositoryarra-oracle-skills-cli
Skill nameoracle-prism
Stars
125
Forks
59
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Soul-Brews-Studio on GitHub. Read the source before you install it.

Installation

Install the Oracle Prism AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Soul-Brews-Studio/arra-oracle-skills-cli/tree/alpha/skills/oracle-prism
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Soul-Brews-Studio/arra-oracle-skills-cli.git /tmp/arra-oracle-skills-cli
mkdir -p .claude/skills
cp -r /tmp/arra-oracle-skills-cli/skills/oracle-prism .claude/skills/oracle-prism
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oracle Prism in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Oracle Prism on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Oracle Prism is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/oracle-prism — Multi-Perspective Analysis

"แสงเดียวผ่านปริซึม แตกเป็นหลายสี — เรื่องเดียวกัน มองจากหลายมุม เห็นต่างกัน"

One agent, five perspectives, no subagents. Transform inline — shift between lenses to dig through work, decisions, or problems from angles that a single viewpoint would miss.

Usage

/oracle-prism                        # Analyze current session (default)
/oracle-prism "the rename migration"  # Analyze a specific topic
/oracle-prism --lenses 3              # Use 3 lenses instead of 5
/oracle-prism --custom "Security Auditor,Performance Engineer,UX Designer"

How It Works

No subagents. The main agent transforms between perspectives sequentially, producing one section per lens. Each lens sees the same facts but asks different questions.

This is NOT adversarial analysis (which tries to disprove). This is prismatic analysis — same light, different colors.

Default 5 Lenses

#LensEmojiQuestion it asks
1Archaeologist🔍"What actually happened? Timeline, sequence, facts."
2Bug Hunter🐛"What problems did we hit? What's still broken?"
3Skeptic💀"What did we do wrong? What would we redo?"
4Architect🏗️"What changed structurally? What's the before/after?"
5Auditor📋"What's left undone? What's inconsistent?"

Alternate Lens Sets

Use --custom to define your own, or pick a preset:

--preset retro (session retrospective)

LensQuestion
HistorianWhat happened, in what order?
CriticWhat went poorly or slowly?
CheerleaderWhat went well? What should we repeat?
ConnectorWhat patterns connect to past work?
PlannerWhat's the next move?

--preset design (design review)

LensQuestion
UserIs this easy to use? What's confusing?
MaintainerIs this easy to change later?
BreakerHow can this fail? Edge cases?
SimplifierWhat can be removed?
IntegratorHow does this fit with everything else?

--preset incident (post-incident)

LensQuestion
FirefighterWhat happened and how was it fixed?
DetectiveWhat was the root cause chain?
DefenderWhat guards existed? Why didn't they catch it?
ForecasterWhat similar things could happen next?
BuilderWhat systemic fix prevents recurrence?

Output Format

markdown
## 🔍 Lens 1: Archaeologist — "What happened?"

[Timeline table or narrative]

---

## 🐛 Lens 2: Bug Hunter — "What broke?"

[Problems found, with evidence]

---

## 💀 Lens 3: Skeptic — "What went wrong?"

[Mistakes, with what should have been done]

---

## 🏗️ Lens 4: Architect — "What changed?"

[Before/after structural view]

---

## 📋 Lens 5: Auditor — "What's left?"

[Table of pending items with status and urgency]

---

**Cross-lens summary:** [2-3 sentences synthesizing what multiple lenses agree on]

Rules

  1. No subagents — all lenses run in the main agent, sequentially
  2. Each lens gets a section with its emoji, name, and guiding question as header
  3. Evidence required — cite files, commits, commands, timestamps. No vague claims
  4. Lenses disagree — if the Architect says "clean" but the Auditor says "incomplete", show both. Don't harmonize
  5. Cross-lens summary at the end — what do multiple lenses converge on?
  6. Tables over prose — use tables for timelines, status lists, before/after comparisons
  7. Session context by default — if no topic given, analyze the current session's work
  8. 3-7 lenses — minimum 3, maximum 7. Default 5. Use --lenses N to adjust

When to Use

SituationWhy prism helps
End of sessionCatch what you missed before closing
After a migration/renameFind inconsistencies across the change
Design decisionSee tradeoffs from user/maintainer/breaker angles
Post-incidentStructured multi-angle without blame
"Did we miss anything?"The Auditor lens exists for this

Relationship to Other Skills

SkillPatternAgents
/oracle-prismMulti-perspective, same agent0 (inline transform)
/adversarial-analysisTry to disprove a claim5 parallel subagents
/rrrSession retrospective0 (or 5 in --deep)
/roundtableDiscussion between personas0 (inline)

Prism is the lightest multi-perspective tool — no agents, no spawning, no coordination overhead. Use it when you want angles, not adversaries.

Frequently asked questions

What does the Oracle Prism AI skill do?

Multi-perspective analysis — one agent transforms through 5 lenses (Archaeologist, Bug Hunter, Skeptic, Architect, Auditor) inline, no subagents. Use when user says "prism", "oracle-prism", "multi-perspective", "มองหลายมุม", "did we miss anything", "analyze from all angles", or before closing a session/migration/design decision. Presets: --preset retro/design/incident, --lenses N, --custom. Do NOT trigger for adversarial disproving (use /adversarial-analysis) or plain retrospectives (use /rrr).

Why use Oracle Prism on TypingMind?

Because you install it once and use it with any model. Oracle Prism is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Oracle Prism in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Soul-Brews-Studio/arra-oracle-skills-cli/tree/alpha/skills/oracle-prism. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Oracle Prism?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Oracle Prism?

As many as you like. As long as a model supports skills, you can use Oracle Prism with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Oracle Prism AI skill free?

Yes. It is published on GitHub by Soul-Brews-Studio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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