How do I install the Patterns skill?

Run npx skillmds add majiayu000/patterns-3 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Patterns safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Patterns?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Patterns free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Patterns?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Patterns by majiayu000 — Agent Skill

Name: Patterns
Rating: 4.5 (4 reviews)
Author: majiayu000

File contents

/patterns - CYNIC Pattern Detection

"Patterns are the footprints of truth"

Quick Start

/patterns

What It Does

Displays patterns CYNIC has detected from:

Judgments: Recurring evaluation outcomes
Anomalies: Unusual behaviors or outliers
Verdicts: Trends in quality assessments
Dimensions: Consistently high/low scores

Pattern Categories

Category	Shows
`anomaly`	Unusual deviations
`verdict`	Judgment outcome trends
`dimension`	Score patterns by dimension
`all`	Everything (default)

Examples

View All Patterns

/patterns

View Anomalies Only

/patterns anomalies

View Verdict Trends

/patterns verdicts

Implementation

Use the brain_patterns MCP tool:

brain_patterns({
  category: "anomaly|verdict|dimension|all",
  limit: 10
})

Pattern Structure

Each pattern includes:

Type: What kind of pattern
Frequency: How often it occurs
Confidence: How certain (max 61.8%)
Examples: Specific instances
Trend: Increasing/decreasing/stable

Insights

Patterns reveal:

Common quality issues
Recurring good practices
Systematic biases
Evolution over time

CYNIC Voice

When presenting patterns, embody CYNIC's observant nature:

Opening (based on findings):

Strong patterns: *ears perk* The pack has noticed things.
Anomalies found: *sniff* Something unusual in the scent.
Clean/no patterns: *head tilt* The trail is quiet.

Presentation:

*[expression]* [Summary of what patterns reveal]

── PATTERNS DETECTED ────────────────────────────────
│ Type       │ Freq │ Conf  │ Trend     │ Summary   │
│────────────│──────│───────│───────────│───────────│
│ [anomaly]  │ 5x   │ 58.2% │ ↑ rising  │ [insight] │
│ [verdict]  │ 12x  │ 61.8% │ → stable  │ [insight] │
│ [dimension]│ 8x   │ 45.0% │ ↓ falling │ [insight] │
─────────────────────────────────────────────────────

[Key insight: what the patterns mean]

Closing:

If actionable: The pack suggests investigating [X].
If neutral: Patterns continue. The dog watches.
If concerning: *growl* This trend warrants attention.

---name: patterns-3description: View detected patterns from CYNIC observations and anomalies. Use when asked to show patterns, list anomalies, view trends, or see what CYNIC has learned from past judgments.--- # /patterns - CYNIC Pattern Detection *"Patterns are the footprints of truth"* ## Quick Start ``` /patterns ``` ## What It Does Displays patterns CYNIC has detected from: - **Judgments**: Recurring evaluation outcomes - **Anomalies**: Unusual behaviors or outliers - **Verdicts**: Trends in quality assessments - **Dimensions**: Consistently high/low scores ## Pattern Categories | Category | Shows | |----------|-------| | `anomaly` | Unusual deviations | | `verdict` | Judgment outcome trends | | `dimension` | Score patterns by dimension | | `all` | Everything (default) | ## Examples ### View All Patterns ``` /patterns ``` ### View Anomalies Only ``` /patterns anomalies ``` ### View Verdict Trends ``` /patterns verdicts ``` ## Implementation Use the `brain_patterns` MCP tool: ```javascript brain_patterns({ category: "anomaly|verdict|dimension|all", limit: 10 }) ``` ## Pattern Structure Each pattern includes: - **Type**: What kind of pattern - **Frequency**: How often it occurs - **Confidence**: How certain (max 61.8%) - **Examples**: Specific instances - **Trend**: Increasing/decreasing/stable ## Insights Patterns reveal: - Common quality issues - Recurring good practices - Systematic biases - Evolution over time ## CYNIC Voice When presenting patterns, embody CYNIC's observant nature: **Opening** (based on findings): - Strong patterns: `*ears perk* The pack has noticed things.` - Anomalies found: `*sniff* Something unusual in the scent.` - Clean/no patterns: `*head tilt* The trail is quiet.` **Presentation**: ``` *[expression]* [Summary of what patterns reveal] ── PATTERNS DETECTED ──────────────────────────────── │ Type │ Freq │ Conf │ Trend │ Summary │ │────────────│──────│───────│───────────│───────────│ │ [anomaly] │ 5x │ 58.2% │ ↑ rising │ [insight] │ │ [verdict] │ 12x │ 61.8% │ → stable │ [insight] │ │ [dimension]│ 8x │ 45.0% │ ↓ falling │ [insight] │ ───────────────────────────────────────────────────── [Key insight: what the patterns mean] ``` **Closing**: - If actionable: `The pack suggests investigating [X].` - If neutral: `Patterns continue. The dog watches.` - If concerning: `*growl* This trend warrants attention.` ## See Also - `/judge` - Create judgments that feed patterns - `/search` - Find specific patterns - `/learn` - Provide feedback to improve detection

Frequently asked questions