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Agent Skill · 前端设计

go-create-cache(去创建缓存)

go-create-cache 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

go-create-cache 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 9,642。

总安装 198周安装 8GitHub Stars 公开资料未说明下载 62核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:go-create-cache(去创建缓存)
来源仓库:https://github.com/cristiano-pacheco/ai-rules
仓库路径:skills/go-create-cache
安装命令:
npx skills add https://github.com/cristiano-pacheco/ai-rules --skill go-create-cache
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cristiano-pacheco/ai-rules --skill go-create-cache

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围。使用前建议核验是否会触发联网或文件读写操作。

go-create-cache 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/go-create-cache

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/cristiano-pacheco/ai-rules --skill go-create-c…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

go-create-cache 怎么安装?

在终端执行 npx skills add https://github.com/cristiano-pacheco/ai-rules --skill go-create-cache。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

go-create-cache 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

go-create-cache 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

go-create-cache 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

go-create-cache 用的人多吗?

公开数据是累计安装 198 次,近一周安装 8 次,下载 62 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

go-create-cache 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
go-create-cache

去创建缓存 · 本页

198—权限未标注未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Go Create Cache

Generate cache files for Go backend using Redis.

Two-File Pattern

Every cache requires two files:

  1. Port interface: internal/modules/<module>/ports/<cache_name>_cache.go
  2. Cache implementation: internal/modules/<module>/cache/<cache_name>_cache.go

Port File Layout Order

  1. Interface definition (XxxCache — no suffix)

Cache File Layout Order

  1. Constants (cache key prefix, TTL)
  2. Implementation struct (XxxCache)
  3. Compile-time interface assertion
  4. Constructor (NewXxxCache)
  5. Methods (Set, Get, Delete, etc.)
  6. Helper methods (buildKey, etc.)

Port Interface Structure

Location: internal/modules/<module>/ports/<cache_name>_cache.go

package ports

type UserActivatedCache interface {
	Set(userID uint64) error
	Get(userID uint64) (bool, error)
	Delete(userID uint64) error
}

Cache Implementation Structure

Location: internal/modules/<module>/cache/<cache_name>_cache.go

package cache

import (
	"context"
	"errors"
	"fmt"
	"time"

	"github.com/cristiano-pacheco/bricks/pkg/redis"
	"github.com/cristiano-pacheco/pingo/internal/modules/<module>/ports"
)

const (
	cacheKeyPrefix = "entity_name:"
	cacheTTLMin    = 23 * time.Hour
	cacheTTLMax    = 25 * time.Hour
)

type EntityCache struct {
	redisClient redis.UniversalClient
}

var _ ports.EntityCache = (*EntityCache)(nil)

func NewEntityCache(redisClient redis.UniversalClient) *EntityCache {
	return &EntityCache{
		redisClient: redisClient,
	}
}

func (c *EntityCache) Set(id uint64) error {
	key := c.buildKey(id)
	ctx := context.Background()

	ttl := c.calculateTTL()
	return c.redisClient.Set(ctx, key, "1", ttl).Err()
}

func (c *EntityCache) calculateTTL() time.Duration {
	min := cacheTTLMin.Milliseconds()
	max := cacheTTLMax.Milliseconds()
	randomMs := min + rand.Int63n(max-min+1)
	return time.Duration(randomMs) * time.Millisecond
}

func (c *EntityCache) Get(id uint64) (bool, error) {
	key := c.buildKey(id)
	ctx := context.Background()

	result := c.redisClient.Get(ctx, key)
	if err := result.Err(); err != nil {
		if errors.Is(err, redisClient.Nil) {
			return false, nil // Key does not exist
		}
		return false, err
	}

	return true, nil
}

func (c *EntityCache) Delete(id uint64) error {
	key := c.buildKey(id)
	ctx := context.Background()

	return c.redisClient.Del(ctx, key).Err()
}

func (c *EntityCache) buildKey(id uint64) string {
	return fmt.Sprintf("%s%d", cacheKeyPrefix, id)
}

Cache Variants

Boolean flag cache (Set/Get/Delete)

Use when caching simple existence or state flags.

Port (ports/user_activated_cache.go):

type UserActivatedCache interface {
	Set(userID uint64) error
	Get(userID uint64) (bool, error)
	Delete(userID uint64) error
}

Implementation notes:

  • Store "1" as value for true state
  • Return false, nil when key doesn't exist (not an error)
  • Use errors.Is(err, redisClient.Nil) to detect missing keys

Value cache (Set/Get/Delete with data)

Use when caching structured data or strings.

Port (ports/session_cache.go):

type SessionCache interface {
	Set(sessionID string, data SessionData) error
	Get(sessionID string) (*SessionData, error)
	Delete(sessionID string) error
}

Implementation notes:

  • Serialize data with json.Marshal before storing
  • Deserialize with json.Unmarshal when retrieving
  • Return nil, nil when key doesn't exist (not an error)
  • TTL is internal to the cache implementation with randomized range to prevent cache stampede

Redis Client Usage

The cache uses redis.UniversalClient directly from the Bricks Redis package (github.com/cristiano-pacheco/bricks/pkg/redis).

Common operations:

  • Set(ctx, key, value, ttl) - Store value with TTL
  • Get(ctx, key) - Retrieve value
  • Del(ctx, key) - Delete key
  • Exists(ctx, key) - Check if key exists
  • Incr(ctx, key) - Increment counter
  • Expire(ctx, key, ttl) - Set TTL on existing key

Key Building

Always use a helper method to build cache keys consistently:

func (c *EntityCache) buildKey(id uint64) string {
	return fmt.Sprintf("%s%d", cacheKeyPrefix, id)
}

For string IDs:

func (c *EntityCache) buildKey(id string) string {
	return fmt.Sprintf("%s%s", cacheKeyPrefix, id)
}

For composite keys:

func (c *EntityCache) buildKey(userID uint64, resourceID string) string {
	return fmt.Sprintf("%s%d:%s", cacheKeyPrefix, userID, resourceID)
}

TTL Configuration

Define TTL as a range at the package level to prevent cache stampede (multiple entries expiring simultaneously):

const (
	cacheKeyPrefix    = "entity_name:"
	cacheTTLMin       = 12 * time.Hour  // Minimum TTL
	cacheTTLMax       = 24 * time.Hour  // Maximum TTL
)

Use a helper function to calculate randomized TTL:

import (
	"math/rand"
	"time"
)

func (c *EntityCache) calculateTTL() time.Duration {
	min := cacheTTLMin.Milliseconds()
	max := cacheTTLMax.Milliseconds()
	randomMs := min + rand.Int63n(max-min+1)
	return time.Duration(randomMs) * time.Millisecond
}

Common TTL ranges:

  • Short-lived: 4-6 minutes - Rate limits, OTP codes
  • Session data: 50-70 minutes - User sessions
  • Daily data: 12-25 hours - User activation status, daily metrics
  • Weekly data: 6.5-7.5 days - Weekly aggregations

Why randomized TTL? When many cache entries are created at the same time (e.g., during traffic spikes), they would all expire simultaneously, causing a "thundering herd" to the database. Randomizing TTL spreads out expirations over time.

Error Handling

Missing Key vs Error

Distinguish between "key not found" (normal) and actual errors:

result := client.Get(ctx, key)
if err := result.Err(); err != nil {
	if errors.Is(err, redisClient.Nil) {
		return false, nil // Key doesn't exist - not an error
	}
	return false, err // Actual error
}

Context Usage

Use context.Background() for cache operations unless you have a specific context:

ctx := context.Background()

For operations called from handlers/use cases, accept context as parameter:

func (c *EntityCache) Set(ctx context.Context, id uint64) error {
	key := c.buildKey(id)
	// Use provided ctx
	return c.redisClient.Set(ctx, key, "1", cacheTTL).Err()
}

Naming

  • Port interface: XxxCache (in ports package, no suffix)
  • Implementation struct: XxxCache (in cache package, same name — disambiguated by package)
  • Constructor: NewXxxCache, returns a pointer of the struct implementation
  • Constants: cacheKeyPrefix and cacheTTL (lowercase, package-level)

Fx Wiring

Add to internal/modules/<module>/module.go:

fx.Provide(
	fx.Annotate(
		cache.NewXxxCache,
		fx.As(new(ports.XxxCache)),
	),
),

Dependencies

Caches depend on:

  • redis.UniversalClient from "github.com/cristiano-pacheco/bricks/pkg/redis" — Redis operations interface

Example 1: Boolean Flag Cache (User Activation)

Port interface (ports/user_activated_cache.go):

package ports

type UserActivatedCache interface {
	Set(userID uint64) error
	Get(userID uint64) (bool, error)
	Delete(userID uint64) error
}

Implementation (cache/user_activated_cache.go):

package cache

import (
	"context"
	"errors"
	"fmt"
	"strconv"
	"time"

	"github.com/cristiano-pacheco/bricks/pkg/redis"
	"github.com/cristiano-pacheco/pingo/internal/modules/identity/ports"
)

const (
	cacheKeyPrefix = "user_activated:"
	cacheTTLMin    = 23 * time.Hour
	cacheTTLMax    = 25 * time.Hour
)

type UserActivatedCache struct {
	redisClient redis.UniversalClient
}

var _ ports.UserActivatedCache = (*UserActivatedCache)(nil)

func NewUserActivatedCache(redisClient redis.UniversalClient) *UserActivatedCache {
	return &UserActivatedCache{
		redisClient: redisClient,
	}
}

func (c *UserActivatedCache) Set(userID uint64) error {
	key := c.buildKey(userID)
	ctx := context.Background()

	ttl := c.calculateTTL()
	return c.redisClient.Set(ctx, key, "1", ttl).Err()
}

func (c *UserActivatedCache) calculateTTL() time.Duration {
	min := cacheTTLMin.Milliseconds()
	max := cacheTTLMax.Milliseconds()
	randomMs := min + rand.Int63n(max-min+1)
	return time.Duration(randomMs) * time.Millisecond
}

func (c *UserActivatedCache) Get(userID uint64) (bool, error) {
	key := c.buildKey(userID)
	ctx := context.Background()

	result := c.redisClient.Get(ctx, key)
	if err := result.Err(); err != nil {
		if errors.Is(err, redisClient.Nil) {
			return false, nil
		}
		return false, err
	}

	return true, nil
}

func (c *UserActivatedCache) Delete(userID uint64) error {
	key := c.buildKey(userID)
	ctx := context.Background()

	return c.redisClient.Del(ctx, key).Err()
}

func (c *UserActivatedCache) buildKey(userID uint64) string {
	return fmt.Sprintf("%s%s", cacheKeyPrefix, strconv.FormatUint(userID, 10))
}

Fx wiring (module.go):

fx.Provide(
	fx.Annotate(
		cache.NewUserActivatedCache,
		fx.As(new(ports.UserActivatedCache)),
	),
),

Example 2: JSON Data Cache (User Session)

DTO (dto/user_session_dto.go):

package dto

import "time"

type UserSessionData struct {
	UserID       uint64    `json:"user_id"`
	Email        string    `json:"email"`
	Name         string    `json:"name"`
	Roles        []string  `json:"roles"`
	LastActivity time.Time `json:"last_activity"`
	IPAddress    string    `json:"ip_address"`
}

Port interface (ports/user_session_cache.go):

package ports

import (
	"time"

	"github.com/cristiano-pacheco/pingo/internal/modules/identity/dto"
)

type UserSessionCache interface {
	Set(sessionID string, data dto.UserSessionData) error
	Get(sessionID string) (*dto.UserSessionData, error)
	Delete(sessionID string) error
	Exists(sessionID string) (bool, error)
}

Implementation (cache/user_session_cache.go):

package cache

import (
	"context"
	"encoding/json"
	"errors"
	"fmt"
	"time"

	"github.com/cristiano-pacheco/bricks/pkg/redis"
	"github.com/cristiano-pacheco/pingo/internal/modules/identity/dto"
	"github.com/cristiano-pacheco/pingo/internal/modules/identity/ports"
)

const (
	sessionCacheKeyPrefix = "user_session:"
	sessionCacheTTLMin    = 50 * time.Minute
	sessionCacheTTLMax    = 70 * time.Minute
)

type UserSessionCache struct {
	redisClient redis.UniversalClient
}

var _ ports.UserSessionCache = (*UserSessionCache)(nil)

func NewUserSessionCache(redisClient redis.UniversalClient) *UserSessionCache {
	return &UserSessionCache{
		redisClient: redisClient,
	}
}

func (c *UserSessionCache) Set(sessionID string, data dto.UserSessionData) error {
	key := c.buildKey(sessionID)
	ctx := context.Background()

	jsonData, err := json.Marshal(data)
	if err != nil {
		return fmt.Errorf("failed to marshal session data: %w", err)
	}

	ttl := c.calculateTTL()
	return c.redisClient.Set(ctx, key, jsonData, ttl).Err()
}

func (c *UserSessionCache) calculateTTL() time.Duration {
	min := sessionCacheTTLMin.Milliseconds()
	max := sessionCacheTTLMax.Milliseconds()
	randomMs := min + rand.Int63n(max-min+1)
	return time.Duration(randomMs) * time.Millisecond
}

func (c *UserSessionCache) Get(sessionID string) (*dto.UserSessionData, error) {
	key := c.buildKey(sessionID)
	ctx := context.Background()

	result := c.redisClient.Get(ctx, key)
	if err := result.Err(); err != nil {
		if errors.Is(err, redisClient.Nil) {
			return nil, nil
		}
		return nil, err
	}

	jsonData, err := result.Bytes()
	if err != nil {
		return nil, fmt.Errorf("failed to get bytes: %w", err)
	}

	var data dto.UserSessionData
	if err := json.Unmarshal(jsonData, &data); err != nil {
		return nil, fmt.Errorf("failed to unmarshal session data: %w", err)
	}

	return &data, nil
}

func (c *UserSessionCache) Delete(sessionID string) error {
	key := c.buildKey(sessionID)
	ctx := context.Background()

	return c.redisClient.Del(ctx, key).Err()
}

func (c *UserSessionCache) Exists(sessionID string) (bool, error) {
	key := c.buildKey(sessionID)
	ctx := context.Background()

	result := c.redisClient.Exists(ctx, key)
	if err := result.Err(); err != nil {
		return false, err
	}

	return result.Val() > 0, nil
}

func (c *UserSessionCache) buildKey(sessionID string) string {
	return fmt.Sprintf("%s%s", sessionCacheKeyPrefix, sessionID)
}

Fx wiring (module.go):

fx.Provide(
	fx.Annotate(
		cache.NewUserSessionCache,
		fx.As(new(ports.UserSessionCache)),
	),
),

Example 3: Protobuf Data Cache (User Profile)

Proto definition (proto/user_profile.proto):

syntax = "proto3";

package identity;

option go_package = "github.com/cristiano-pacheco/pingo/internal/modules/identity/proto";

message UserProfile {
	uint64 user_id = 1;
	string email = 2;
	string name = 3;
	repeated string roles = 4;
	int64 last_login = 5;
	string avatar_url = 6;
}

Port interface (ports/user_profile_cache.go):

package ports

import (
	"time"

	"github.com/cristiano-pacheco/pingo/internal/modules/identity/proto"
)

type UserProfileCache interface {
	Set(userID uint64, profile *proto.UserProfile) error
	Get(userID uint64) (*proto.UserProfile, error)
	Delete(userID uint64) error
}

Implementation (cache/user_profile_cache.go):

package cache

import (
	"context"
	"errors"
	"fmt"
	"time"

	"github.com/cristiano-pacheco/bricks/pkg/redis"
	"github.com/cristiano-pacheco/pingo/internal/modules/identity/ports"
	"github.com/cristiano-pacheco/pingo/internal/modules/identity/proto"
	"google.golang.org/protobuf/proto"
)

const (
	profileCacheKeyPrefix = "user_profile:"
	profileCacheTTLMin    = 12 * time.Hour
	profileCacheTTLMax    = 24 * time.Hour
)

type UserProfileCache struct {
	redisClient redis.UniversalClient
}

var _ ports.UserProfileCache = (*UserProfileCache)(nil)

func NewUserProfileCache(redisClient redis.UniversalClient) *UserProfileCache {
	return &UserProfileCache{
		redisClient: redisClient,
	}
}

func (c *UserProfileCache) Set(userID uint64, profile *proto.UserProfile) error {
	key := c.buildKey(userID)
	ctx := context.Background()

	data, err := proto.Marshal(profile)
	if err != nil {
		return fmt.Errorf("failed to marshal profile: %w", err)
	}

	ttl := c.calculateTTL()
	return c.redisClient.Set(ctx, key, data, ttl).Err()
}

func (c *UserProfileCache) calculateTTL() time.Duration {
	min := profileCacheTTLMin.Milliseconds()
	max := profileCacheTTLMax.Milliseconds()
	randomMs := min + rand.Int63n(max-min+1)
	return time.Duration(randomMs) * time.Millisecond
}

func (c *UserProfileCache) Get(userID uint64) (*proto.UserProfile, error) {
	key := c.buildKey(userID)
	ctx := context.Background()

	result := c.redisClient.Get(ctx, key)
	if err := result.Err(); err != nil {
		if errors.Is(err, redisClient.Nil) {
			return nil, nil
		}
		return nil, err
	}

	data, err := result.Bytes()
	if err != nil {
		return nil, fmt.Errorf("failed to get bytes: %w", err)
	}

	var profile proto.UserProfile
	if err := proto.Unmarshal(data, &profile); err != nil {
		return nil, fmt.Errorf("failed to unmarshal profile: %w", err)
	}

	return &profile, nil
}

func (c *UserProfileCache) Delete(userID uint64) error {
	key := c.buildKey(userID)
	ctx := context.Background()

	return c.redisClient.Del(ctx, key).Err()
}

func (c *UserProfileCache) buildKey(userID uint64) string {
	return fmt.Sprintf("%s%d", profileCacheKeyPrefix, userID)
}

Fx wiring (module.go):

fx.Provide(
	fx.Annotate(
		cache.NewUserProfileCache,
		fx.As(new(ports.UserProfileCache)),
	),
),

Critical Rules

  1. Two files: Port interface in ports/, implementation in cache/
  2. Interface in ports: Interface lives in ports/<name>_cache.go
  3. Interface assertion: Add var _ ports.XxxCache = (*XxxCache)(nil) below the struct
  4. Constructor: MUST return pointer *XxxCache
  5. Constants: Define cacheKeyPrefix, cacheTTLMin, and cacheTTLMax at package level
  6. Randomized TTL: MUST use calculateTTL() helper to prevent cache stampede
  7. Key builder: Always use a buildKey() helper method
  8. Missing keys: Return zero value + nil error, not an error (use errors.Is(err, redisClient.Nil))
  9. Context: Use context.Background() or accept context.Context parameter
  10. No comments: Do not add redundant comments above methods
  11. Add detailed comment on interfaces: Provide comprehensive comments on the port interfaces to describe their purpose and usage
  12. Redis client type: Use redis.UniversalClient interface
  13. No TTL parameters: TTL is internal to cache, never exposed in interface methods

Workflow

  1. Create port interface in ports/<name>_cache.go
  2. Create cache implementation in cache/<name>_cache.go
  3. Add Fx wiring to module's module.go
  4. Run make lint to verify
  5. Run make nilaway for static analysis

平台分布

Codex

35.91%
按下载量换算22

Claude

31.36%
按下载量换算19

Cursor

18.12%
按下载量换算11

Gemini CLI

9.7%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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安装前确认

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