frappe-agent-architect
Use when designing multi-app Frappe architectures, deciding whether to split functionality into separate apps, or implementing cross-app communication…
Use when implementing Redis caching, cache invalidation, or distributed locking in Frappe. Prevents stale cache bugs, race conditions from missing locks, and memory bloat from unbounded cache keys. Covers frappe.cache(), @redis_cache decorator, cache.get_value/set_value, cache
$ npx -y skills add Impertio-Studio/Frappe_Claude_Skill_Package --skill frappe-core-cache --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/frappe-core-cacheContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when implementing Redis caching, cache invalidation, or distributed locking in Frappe. Prevents stale cache bugs, race conditions from missing locks, and memory bloat from unbounded cache keys. Covers frappe.cache(), @redis_cache decorator, cache.get_value/set_value, cache
name: frappe-core-cache description: > Use when implementing Redis caching, cache invalidation, or distributed locking in Frappe. Prevents stale cache bugs, race conditions from missing locks, and memory bloat from unbounded cache keys. Covers frappe.cache(), @redis_cache decorator, cache.get_value/set_value, cache invalidation patterns, frappe.lock, TTL strategies. Keywords: cache, Redis, redis_cache, invalidation, locking, frappe.cache, get_value, set_value, TTL, distributed lock, data not refreshing, stale data, cache not clearing, Redis error, slow repeated queries.. license: MIT compatibility: "Claude Code, Claude.ai Projects, Claude API. Frappe v14-v16." metadata: author: OpenAEC-Foundation version: "2.0"
| Action | Method | Notes | |--------|--------|-------| | Set value | `frappe.cache.set_value(key, val)` | With optional TTL | | Get value | `frappe.cache.get_value(key)` | Returns `None` if missing | | Get or generate | `frappe.cache.get_value(key, generator=fn)` | Calls `fn()` on cache miss | | Delete value | `frappe.cache.delete_value(key)` | Single key or list of keys | | Delete by pattern | `frappe.cache.delete_keys(pattern)` | Wildcard `*` matching | | Hash set | `frappe.cache.hset(name, key, val)` | Redis hash field | | Hash get | `frappe.cache.hget(name, key)` | Single hash field | | Hash get all | `frappe.cache.hgetall(name)` | Full hash as dict | | Hash delete | `frappe.cache.hdel(name, key)` | Remove hash field | | Hash exists | `frappe.cache.hexists(name, key)` | Returns bool | | Cached document | `frappe.get_cached_doc(dt, dn)` | Full doc from cache | | Clear doc cache | `frappe.clear_document_cache(dt, dn)` | Invalidate cached doc | | Decorator cache | `@redis_cache` | Auto-cache function result | | Request cache | `frappe.local.cache` | Per-request dict (not Redis) |
---
What caching pattern do you need?
│
├─ Cache a function result automatically?
│ ├─ Pure function (same args → same result) → @redis_cache
│ └─ Need custom key/TTL → manual get_value/set_value
│
├─ Cache a document?
│ ├─ Read-only access → frappe.get_cached_doc()
│ └─ Need to invalidate → frappe.clear_document_cache()
│
├─ Cache structured data (multiple fields)?
│ └─ Redis hash → hset/hget/hgetall
│
├─ Per-request cache (avoid repeated DB calls in one request)?
│ └─ frappe.local.cache dict
│
├─ Prevent concurrent execution?
│ └─ Distributed lock → frappe.lock("resource_name")
│
└─ Invalidate cache?
├─ Single key → delete_value(key)
├─ Pattern → delete_keys("prefix*")
└─ All site cache → frappe.clear_cache()---
# Set a value (persists until evicted or deleted)
frappe.cache.set_value("exchange_rate_USD", 1.08)
# Set with TTL (expires after N seconds)
frappe.cache.set_value("exchange_rate_USD", 1.08, expires_in_sec=3600)
# Get value (returns None if missing)
rate = frappe.cache.get_value("exchange_rate_USD")
# Get with generator (calls function on cache miss, stores result)
rate = frappe.cache.get_value(
"exchange_rate_USD",
generator=lambda: fetch_exchange_rate("USD"),
)# Store per-user preference
frappe.cache.set_value("dashboard_layout", "compact", user="user@example.com")
# Retrieve for specific user
layout = frappe.cache.get_value("dashboard_layout", user="user@example.com")# Single key
frappe.cache.delete_value("exchange_rate_USD")
# Multiple keys
frappe.cache.delete_value(["exchange_rate_USD", "exchange_rate_EUR"])
# Pattern-based deletion (wildcard)
frappe.cache.delete_keys("exchange_rate*")---
Use hashes to group related fields under a single key.
# Set hash fields
frappe.cache.hset("config|notifications", "email_enabled", True)
frappe.cache.hset("config|notifications", "sms_enabled", False)
frappe.cache.hset("config|notifications", "max_retries", 3)
# Get single field
email_on = frappe.cache.hget("config|notifications", "email_enabled")
# Get all fields as dict
config = frappe.cache.hgetall("config|notifications")
# {"email_enabled": True, "sms_enabled": False, "max_retries": 3}
# Delete field
frappe.cache.hdel("config|notifications", "sms_enabled")
# Check existence
exists = frappe.cache.hexists("config|notifications", "email_enabled")# hget with generator — calls function on miss
value = frappe.cache.hget(
"user|permissions",
"user@example.com",
generator=lambda: compute_permissions("user@example.com"),
)---
Automatically cache function return values based on arguments.
from frappe.utils.caching import redis_cache
@redis_cache
def get_item_price(item_code, price_list):
"""Expensive query — cached automatically."""
return frappe.db.get_value("Item Price",
{"item_code": item_code, "price_list": price_list},
"price_list_rate",
)
# First call — hits database, stores in Redis
price = get_item_price("ITEM-001", "Standard Selling")
# Second call — returns from cache
price = get_item_price("ITEM-001", "Standard Selling")
# Clear all cached results for this function
get_item_price.clear_cache()@redis_cache(ttl=300) # expires after 5 minutes
def get_exchange_rate(from_currency, to_currency):
return fetch_rate_from_api(from_currency, to_currency)**Rules for @redis_cache:**
---
`frappe.local.cache` is a plain Python dict that lives for the duration of a single HTTP request. It is NOT stored in Redis.
def get_user_settings():
"""Avoid repea60 deterministic Claude AI skills for Frappe Framework & ERPNext v14-v16 development and operations
Repo: Impertio-Studio/Frappe_Claude_Skill_Package
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