ai-patterns

ai-patterns is a skill for Claude Code, Codex from lexler/skill-factory. It costs 40 tokens per session (1,263 once invoked), scanned A, original, Apache-2.0.

A reference collection of patterns and common mistakes for software development assisted by AI.

In plain words
What is it for?
Choosing ways to manage context, guide AI coding work, record knowledge, and avoid common AI-development mistakes.
Why use it?
It explains problems such as losing important context, spreading an AI assistant across too many tasks, and giving it too much information.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Choosing ways to manage context, guide AI coding work, record knowledge, and avoid common AI-development mistakes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lexler/skill-factory/ai-patterns
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lexler/skill-factory --skill ai-patterns
Clone the repo
git clone --depth 1 https://github.com/lexler/skill-factory

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/lexler/skill-factory/ai-patterns/github.svg)](https://agentmods.dev/skills/lexler/skill-factory/ai-patterns)
Your own site
<a href="https://agentmods.dev/skills/lexler/skill-factory/ai-patterns"><img src="https://agentmods.dev/badge/skills/lexler/skill-factory/ai-patterns/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/lexler/skill-factory/ai-patterns"><img src="https://agentmods.dev/badge/skills/lexler/skill-factory/ai-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,263 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 74
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01263
Opus 5.5 $0.00016 $0.00505
Sonnet 5.5 $0.00008 $0.00253
Haiku 4.5 $0.00004 $0.00126

Measured 1mo ago against content hash 20b409e4574a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

output_skills/ai/ai-patterns/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Patterns Reference

Patterns for effective AI-augmented software development by Lada Kesseler (github nickname lexler), Llewellyn Falco, Ivett Ördög, and Nitsan Avni.

First Step: Ensure Repository Exists and Update

~/.claude/skills/ai-patterns/scripts/ensure-patterns-repo

Patterns Location

Base path: ~/.cache/claude-skills/augmented-coding-patterns/documents


Context Management

Managing AI context, knowledge, and focus.

Obstacles

  • context-rot - Earlier instructions lose influence as conversation grows
  • cannot-learn - LLMs can't learn from interactions; fixed weights prevent adaptation
  • limited-context-window - Fixed context size forces choices about what to keep loaded
  • limited-focus - Too much context causes diluted or misdirected attention
  • excess-verbosity - AI defaults to verbose output with low signal-to-noise ratio

Anti-patterns

  • distracted-agent - Using one agent for everything spreads attention; instructions inconsistently followed

Patterns

  • context-management - Treat context as scarce resource requiring active append/reset operations
  • knowledge-document - Save important information as markdown files for session loading
  • ground-rules - Essential behavioral rules auto-loaded into every session
  • extract-knowledge - Save emerging insights and corrections from ephemeral context to files immediately during sessions
  • focused-agent - Single narrow responsibility gives AI cognitive space to follow rules better
  • reference-docs - On-demand knowledge loaded only when needed for current task
  • knowledge-composition - Split knowledge into focused, composable files with single responsibilities
  • semantic-zoom - Control abstraction levels—zoom out for overview or zoom in for details
  • noise-cancellation - Explicitly ask AI to be succinct and strip filler from responses

Reliability & Quality

Handling non-determinism, complexity, and verification.

Read the full file on GitHub · 133 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 133 lines · 40 tokens per session scan A 20b409e4574a

Subscribe to this mod's changes

ai-patterns is a skill published in the GitHub repository lexler/skill-factory (239 stars, last pushed 16d ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,263 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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