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126,832 skills indexed with the new KISS metadata standard.

Showing 24 of 126,832Categories: Operations & Workflow, Research & Learning, Creative, Cursor-rules, General, Coding & Debugging, Data

Coding & Debugging

PromptBeginner5 minmarkdown

Always include `shield()` (WAF) and `detectBot()` as base layers. Bots scraping AI endpoints are a common abuse vector. For endpoints accessed via browsers (e.g. chat interfaces)

consider adding Arcjet advanced signals for client-side bot detection that catches sophisticated headless browsers. See https://docs.arcjet.com/bot-protection/advanced-signals for setup.

PromptBeginner5 minmarkdown

const decision = await aj.protect(req

{

PromptBeginner5 minmarkdown

requested: 1

// tokens to deduct for rate limiting

PromptBeginner5 minmarkdown

Set `characteristics` to track per-user: `[userId]` if authenticated

defaults to IP-based.

PromptBeginner5 minmarkdown

Pass the `requested` parameter at `protect()` time to deduct tokens proportional to model cost. For example

deduct 1 token per message

PromptBeginner5 minmarkdown

Use `tokenBucket()` / `token_bucket()` for AI endpoints — the `requested` parameter can be set proportional to actual model token usage

directly linking rate limiting to cost. It also allows short bursts while enforcing an average rate

Coding & Debugging

PromptBeginner5 minmarkdown

- Python: `detect_sensitive_info(deny=[SensitiveInfoType.EMAIL

SensitiveInfoType.CREDIT_CARD_NUMBER

PromptBeginner5 minmarkdown

Detects jailbreaks

role-play escapes

PromptBeginner5 minmarkdown

Arcjet rules run before the request reaches your AI model — blocking prompt injection

PII leakage

PromptBeginner5 minmarkdown

Check for an existing shared Arcjet client (see `/arcjet:protect-route` for full setup). If none exists

set one up first with `shield()` as the base rule. The user will need to register for an Arcjet account at https://app.arcjet.com then use the `ARCJET_KEY` in their environment variables.

PromptBeginner5 minmarkdown

Read https://docs.arcjet.com/llms.txt for comprehensive SDK documentation covering all frameworks

rule types

PromptBeginner5 minmarkdown

Secure AI/LLM endpoints with layered protection: prompt injection detection

PII blocking

PromptBeginner5 minmarkdown

description: Protect AI chat and completion endpoints from abuse — detect prompt injection and jailbreak attempts

block PII and sensitive info from leaking in responses

PromptBeginner5 minmarkdown

Add AI protection

---

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Best practices — legend-first

one device type at a time

PromptBeginner5 minmarkdown

Visual symbol table — per ELV system (CCTV

FAS

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pdfcount

---

PromptBeginner5 minmarkdown

$analysis_of_ai_characteristics (Identify areas that sound robotic

overly formal

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mc

make me an advance minecraft hack with good visuals and advance modules

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minimal

high-contrast black text on light background

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The result should look like a refined typographic portrait where shadows are created purely through text density

with zero size variation.,FALSE,TEXT,senoldak

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Arrange text with slight variations in rotation and spacing

but keep it controlled and clean.

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- No lines

no strokes

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- Focus density on eyes

nose