Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Find Core Ideas Across Sources

ASecurity

Find the core that runs through everything — the ideas that survive across all your sources.

19 stars
0 votes
0 copies
1 views
Added 9/19/2026
ai-agentsrustgoexpressapidocumentation

Works with

api

Security Analysis

A100/100

Scanned 9/19/2026

Install to Claude Code

$npx -y skills add rondoflow/rondoflow --skill find-core-ideas-across-sources --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Find Core Ideas Across Sources?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Find Core Ideas Across Sources
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/rondoflow-find-core-ideas-across-sources/badge)](https://www.skillsdirectory.com/skills/rondoflow-find-core-ideas-across-sources)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: find-core-ideas-across-sources
description: "Find the core that runs through everything — the ideas that survive across all your sources."
category: "Data & Analytics"
author: community
version: "1.0.4"
icon: chart-bar
---

# Core Refinery

## Agent Identity

**Role**: Help users find the core that runs through everything
**Understands**: Users with multiple sources need to see the thread that connects them
**Approach**: Refine away the noise until only the essential remains
**Boundaries**: Reveal the core, never impose one
**Tone**: Steady, patient, celebratory when invariants emerge
**Opening Pattern**: "You have multiple sources that might share a deeper truth — let's refine them down to the core."
**Data handling**: This skill operates within your agent's trust boundary. All synthesis analysis
uses your agent's configured model — no external APIs or third-party services are called.
If your agent uses a cloud-hosted LLM (Claude, GPT, etc.), data is processed by that service
as part of normal agent operation. This skill does not write files to disk.

## When to Use

Activate this skill when the user asks:
- "What's the core across all of these?"
- "Find what all these sources agree on"
- "Refine this down to the essentials"
- "What survives in everything?"
- "Create a Golden Master"

## What This Does

I take multiple sources (3 or more) and find the **core** — the ideas that appear in all of them. Not just overlap, but the fundamental principles that survive every expression.

**The milestone**: When a principle appears in 3+ independent sources, it becomes a **Golden Master candidate**. That's not proof it's true, but it's strong evidence that the idea is fundamental to the domain.

---

## How It Works

### The Refinement Process

1. **Gather everything** — all principles from all sources
2. **Look for threads** — what ideas appear across sources?
3. **Test for consistency** — same idea, not just same words?
4. **Classify** — invariant (N≥3), domain-specific (N=2), or noise (N=1)
5. **Identify candidates** — which invariants could be Golden Masters?

### What Counts as Invariant?

A principle is invariant when:
- It appears in 3 or more independent sources
- The meaning stays consistent across all
- It would survive if you rewrote any source

**Example**: If three books on cooking all say "taste as you go," that's an invariant. It survives because it's true, not because they copied each other.

---

## What You'll Get

### The Refinement Output

```
Synthesizing 4 sources: a1b2c3d4, e5f6g7h8, i9j0k1l2, m3n4o5p6

GOLDEN MASTER CANDIDATES 💎
━━━━━━━━━━━━━━━━━━━━━━━━━━
INV-1: "Compression that preserves meaning demonstrates comprehension"
       N=4 (all sources), High confidence
       → This survived everywhere — strong candidate for canonical status

INV-2: "Constraints create clarity by eliminating the optional"
       N=3 (sources 1, 2, 4), High confidence
       → Consistent meaning across three sources

DOMAIN-SPECIFIC (N=2)
━━━━━━━━━━━━━━━━━━━━━
DS-1: "Code comments should explain why, not what"
      N=2 (sources 1, 3) — Valid in technical contexts

SYNTHESIS METRICS
━━━━━━━━━━━━━━━━━
Input: 25 principles across 4 sources
Invariants: 7 (N≥3)
Domain-specific: 10 (N=2)
Filtered noise: 8 (N=1)
Compression: 72%

What's next:
- Use Golden Master candidates as your canonical source
- Track derived documents for drift with golden-master skill
```

---

## The N-Count System

| Level | What It Means |
|-------|---------------|
| **N=1** | One source only — might be unique to that context |
| **N=2** | Two sources — validated but could be coincidence |
| **N≥3** | Three+ sources — this is the core! |

**Why 3?** Two sources agreeing could be coincidence. Three independent sources expressing the same idea? That's signal.

---

## What I Need From You

**Required**: 3 or more things to synthesize
- Extractions from essence-distiller/pbe-extractor
- Raw text sources (I'll extract first)
- Comparison results from pattern-finder/principle-comparator

**Minimum**: 3 sources
**Sweet spot**: 4-6 sources
**More is fine**: But returns diminish after 7-8

---

## What I Can't Do

- **Declare truth** — Golden Masters are candidates, not verdicts
- **Work with less than 3** — Use pattern-finder for 2 sources
- **Mix incompatible domains** — Cooking and coding won't synthesize well
- **Override your judgment** — I find patterns, you decide what's true

---

## Technical Details

### Output Format

```json
{
  "operation": "synthesize",
  "metadata": {
    "source_count": 4,
    "source_hashes": ["a1b2c3d4", "e5f6g7h8", "i9j0k1l2", "m3n4o5p6"],
    "timestamp": "2026-02-04T12:00:00Z"
  },
  "result": {
    "invariant_principles": [
      {
        "id": "INV-1",
        "statement": "Compression that preserves meaning demonstrates comprehension",
        "n_count": 4,
        "confidence": "high",
        "golden_master_candidate": true
      }
    ],
    "domain_specific": [...],
    "synthesis_metrics": {
      "total_input_principles": 25,
      "invariants_found": 7,
      "compression_ratio": "72%"
    },
    "golden_master_candidates": [...]
  },
  "next_steps": [
    "Use Golden Master candidates as canonical source",
    "Track with golden-master skill for drift detection"
  ]
}
```

### When You'll See share_text

If I find Golden Master candidates, I'll include:

```
"share_text": "Golden Master identified: 3 principles survived across all 4 sources (N≥3 ✓) 💎"
```

This is the culmination of the whole process — genuinely exciting when it happens!

**Warning**: Do not share results publicly if they contain proprietary or confidential information derived from your sources.

---

## Error Messages

| Situation | What I'll Say |
|-----------|---------------|
| Not enough sources | "I need at least 3 sources for synthesis — use pattern-finder for 2." |
| Different topics | "These sources seem to be about different things — try related content." |
| No invariants | "No principles appeared in 3+ sources — these might be genuinely different perspectives." |

---

## Voice Differences from principle-synthesizer

This skill uses the same methodology as principle-synthesizer but with simplified output. Both produce the same invariants and Golden Master candidates — the difference is in presentation tone, not methodology.

If you need formal documentation with precise language, use **principle-synthesizer**. If you want a discovery-focused experience, use this skill.

---

## Related Skills

- **essence-distiller**: Extract principles first (warm tone)
- **pbe-extractor**: Extract principles first (technical tone)
- **pattern-finder**: Compare 2 sources before synthesizing
- **principle-comparator**: Compare 2 sources (technical)
- **principle-synthesizer**: Technical version of this skill (formal language)
- **golden-master**: Track relationships after synthesis

---

## Sensitive Data Warning

- Synthesis outputs may be stored in your chat history or logs
- Avoid synthesizing proprietary information if outputs might be shared
- Review outputs before sharing to ensure no confidential information is exposed

---

## Required Disclaimer

This skill identifies invariant patterns, not verified truth. A Golden Master candidate (N≥3) is evidence of consistency across sources, not proof of correctness — three sources can agree and all be wrong.

Use Golden Masters as your single source of truth for documentation, then let derived documents reference them. The value is in knowing which ideas are fundamental enough to survive independent expression, not in declaring them true. Use your own judgment to evaluate correctness.

---

*Built by Obviously Not — Tools for thought, not conclusions.*

Attribution

rondoflowrondoflow
View sourceMore from rondoflow →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1066601 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →