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Agent Skill · 前端设计

mimir(mimir 搜索)

mimir 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。

mimir 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,权限为接触敏感数据;许可证为 MIT,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 3,469。

总安装 1,309周安装 54GitHub Stars 61下载 428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
MIT

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:mimir(mimir 搜索)
来源仓库:https://github.com/julianobarbosa/claude-code-skills
仓库路径:skills/mimir
安装命令:
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill mimir
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/julianobarbosa/claude-code-skills --skill mimir

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。

mimir 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、代码变更或协作事项进行整理。通过 npx skills add 命令从指定仓库安装,建议查看原始 README 了解调用方式。

使用前请核实权限范围、项目维护状态,并注意是否触发网络访问或系统操作。mimir 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/mimir

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/julianobarbosa/claude-code-skills --skill mimi…;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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mimir 怎么安装?

在终端执行 npx skills add https://github.com/julianobarbosa/claude-code-skills --skill mimir。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mimir 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。

mimir 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

mimir 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

mimir 用的人多吗?

公开数据是累计安装 1,309 次,近一周安装 54 次,下载 428 次,GitHub 61 星。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。

mimir 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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 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

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
mimir

mimir 搜索 · 本页

1,30961接触敏感数据MIT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

Grafana Mimir Skill

Comprehensive guide for Grafana Mimir - the horizontally scalable, highly available, multi-tenant time series database for long-term Prometheus metrics storage.

What is Mimir?

Mimir is an open-source, horizontally scalable, highly available, multi-tenant long-term storage solution for Prometheus and OpenTelemetry metrics that:

  • Overcomes Prometheus limitations - Scalability and long-term retention
  • Multi-tenant by default - Built-in tenant isolation via X-Scope-OrgID header
  • Stores data in object storage - S3, GCS, Azure Blob Storage, or Swift
  • 100% Prometheus compatible - PromQL queries, remote write protocol
  • Part of LGTM+ Stack - Logs, Grafana, Traces, Metrics unified observability

Architecture Overview

Core Components

ComponentPurpose
DistributorValidates requests, routes incoming metrics to ingesters via hash ring
IngesterStores time-series data in memory, flushes to object storage
QuerierExecutes PromQL queries from ingesters and store-gateways
Query FrontendCaches query results, optimizes and splits queries
Query SchedulerManages per-tenant query queues for fairness
Store-GatewayProvides access to historical metric blocks in object storage
CompactorConsolidates and optimizes stored metric data blocks
RulerEvaluates recording and alerting rules (optional)
AlertmanagerHandles alert routing and deduplication (optional)

Data Flow

Write Path:

Prometheus/OTel → Distributor → Ingester → Object Storage
                       ↓
                 Hash Ring
                 (routes by series)

Read Path:

Query → Query Frontend → Query Scheduler → Querier
                                              ↓
                                    Ingesters (recent)
                                              ↓
                                    Store-Gateway (historical)

Deployment Modes

1. Monolithic Mode (-target=all)

  • All components in single process
  • Best for: Development, testing, small-scale (~1M series)
  • Horizontally scalable by deploying multiple instances
  • Not recommended for large-scale (all components scale together)

2. Microservices Mode (Distributed) - Recommended for Production

# Using mimir-distributed Helm chart
distributor:
  replicas: 3

ingester:
  replicas: 3
  zoneAwareReplication:
    enabled: true

querier:
  replicas: 3

queryFrontend:
  replicas: 2

queryScheduler:
  replicas: 2

storeGateway:
  replicas: 3

compactor:
  replicas: 1

Helm Deployment

Add Repository

helm repo add grafana https://grafana.github.io/helm-charts
helm repo update

Install Distributed Mimir

helm install mimir grafana/mimir-distributed \
  --namespace monitoring \
  --values values.yaml

Pre-Built Values Files

FilePurpose
values.yamlNon-production testing with MinIO
small.yaml~1 million series (single replicas, not HA)
large.yamlProduction (~10 million series)

Production Values Example

# Deployment mode
mimir:
  structuredConfig:
    multitenancy_enabled: true

# Storage configuration
mimir:
  structuredConfig:
    common:
      storage:
        backend: azure  # or s3, gcs
        azure:
          account_name: ${AZURE_STORAGE_ACCOUNT}
          account_key: ${AZURE_STORAGE_KEY}
          endpoint_suffix: blob.core.windows.net

    blocks_storage:
      azure:
        container_name: mimir-blocks

    alertmanager_storage:
      azure:
        container_name: mimir-alertmanager

    ruler_storage:
      azure:
        container_name: mimir-ruler

# Distributor
distributor:
  replicas: 3
  resources:
    requests:
      cpu: 1
      memory: 2Gi
    limits:
      memory: 4Gi

# Ingester
ingester:
  replicas: 3
  zoneAwareReplication:
    enabled: true
  persistentVolume:
    enabled: true
    size: 50Gi
  resources:
    requests:
      cpu: 2
      memory: 8Gi
    limits:
      memory: 16Gi

# Querier
querier:
  replicas: 3
  resources:
    requests:
      cpu: 1
      memory: 2Gi
    limits:
      memory: 8Gi

# Query Frontend
query_frontend:
  replicas: 2
  resources:
    requests:
      cpu: 500m
      memory: 1Gi
    limits:
      memory: 2Gi

# Query Scheduler
query_scheduler:
  replicas: 2

# Store Gateway
store_gateway:
  replicas: 3
  persistentVolume:
    enabled: true
    size: 20Gi
  resources:
    requests:
      cpu: 500m
      memory: 2Gi
    limits:
      memory: 8Gi

# Compactor
compactor:
  replicas: 1
  persistentVolume:
    enabled: true
    size: 50Gi
  resources:
    requests:
      cpu: 1
      memory: 4Gi
    limits:
      memory: 8Gi

# Gateway for external access
gateway:
  enabledNonEnterprise: true
  replicas: 2

# Monitoring
metaMonitoring:
  serviceMonitor:
    enabled: true

Storage Configuration

Critical Requirements

  • Must create buckets manually - Mimir doesn't create them
  • Separate buckets required - blocks_storage, alertmanager_storage, ruler_storage cannot share the same bucket+prefix
  • Azure: Hierarchical namespace must be disabled

Azure Blob Storage

mimir:
  structuredConfig:
    common:
      storage:
        backend: azure
        azure:
          account_name: <storage-account-name>
          # Option 1: Account Key (via environment variable)
          account_key: ${AZURE_STORAGE_KEY}
          # Option 2: User-Assigned Managed Identity
          # user_assigned_id: <identity-client-id>
          endpoint_suffix: blob.core.windows.net

    blocks_storage:
      azure:
        container_name: mimir-blocks

    alertmanager_storage:
      azure:
        container_name: mimir-alertmanager

    ruler_storage:
      azure:
        container_name: mimir-ruler

AWS S3

mimir:
  structuredConfig:
    common:
      storage:
        backend: s3
        s3:
          endpoint: s3.us-east-1.amazonaws.com
          region: us-east-1
          access_key_id: ${AWS_ACCESS_KEY_ID}
          secret_access_key: ${AWS_SECRET_ACCESS_KEY}

    blocks_storage:
      s3:
        bucket_name: mimir-blocks

    alertmanager_storage:
      s3:
        bucket_name: mimir-alertmanager

    ruler_storage:
      s3:
        bucket_name: mimir-ruler

Google Cloud Storage

mimir:
  structuredConfig:
    common:
      storage:
        backend: gcs
        gcs:
          service_account: ${GCS_SERVICE_ACCOUNT_JSON}

    blocks_storage:
      gcs:
        bucket_name: mimir-blocks

    alertmanager_storage:
      gcs:
        bucket_name: mimir-alertmanager

    ruler_storage:
      gcs:
        bucket_name: mimir-ruler

Limits Configuration

mimir:
  structuredConfig:
    limits:
      # Ingestion limits
      ingestion_rate: 25000                    # Samples/sec per tenant
      ingestion_burst_size: 50000              # Burst size
      max_series_per_metric: 10000
      max_series_per_user: 1000000
      max_global_series_per_user: 1000000
      max_label_names_per_series: 30
      max_label_name_length: 1024
      max_label_value_length: 2048

      # Query limits
      max_fetched_series_per_query: 100000
      max_fetched_chunks_per_query: 2000000
      max_query_lookback: 0                    # No limit
      max_query_parallelism: 32

      # Retention
      compactor_blocks_retention_period: 365d  # 1 year

      # Out-of-order samples
      out_of_order_time_window: 5m

Per-Tenant Overrides (Runtime Configuration)

# runtime-config.yaml
overrides:
  tenant1:
    ingestion_rate: 50000
    max_series_per_user: 2000000
    compactor_blocks_retention_period: 730d    # 2 years
  tenant2:
    ingestion_rate: 75000
    max_global_series_per_user: 5000000

Enable runtime configuration:

mimir:
  structuredConfig:
    runtime_config:
      file: /etc/mimir/runtime-config.yaml
      period: 10s

High Availability Configuration

HA Tracker for Prometheus Deduplication

mimir:
  structuredConfig:
    distributor:
      ha_tracker:
        enable_ha_tracker: true
        kvstore:
          store: memberlist
        cluster_label: cluster
        replica_label: __replica__

    memberlist:
      join_members:
        - mimir-gossip-ring.monitoring.svc.cluster.local:7946

Prometheus Configuration:

global:
  external_labels:
    cluster: prom-team1
    __replica__: replica1

remote_write:
  - url: http://mimir-gateway:8080/api/v1/push
    headers:
      X-Scope-OrgID: my-tenant

Zone-Aware Replication

ingester:
  zoneAwareReplication:
    enabled: true
    zones:
      - name: zone-a
        nodeSelector:
          topology.kubernetes.io/zone: us-east-1a
      - name: zone-b
        nodeSelector:
          topology.kubernetes.io/zone: us-east-1b
      - name: zone-c
        nodeSelector:
          topology.kubernetes.io/zone: us-east-1c

store_gateway:
  zoneAwareReplication:
    enabled: true

Shuffle Sharding

Limits tenant data to a subset of instances for fault isolation:

mimir:
  structuredConfig:
    limits:
      # Write path
      ingestion_tenant_shard_size: 3

      # Read path
      max_queriers_per_tenant: 5
      store_gateway_tenant_shard_size: 3

OpenTelemetry Integration

OTLP Metrics Ingestion

OpenTelemetry Collector Config:

exporters:
  otlphttp:
    endpoint: http://mimir-gateway:8080/otlp
    headers:
      X-Scope-OrgID: "my-tenant"

service:
  pipelines:
    metrics:
      receivers: [otlp]
      exporters: [otlphttp]

Exponential Histograms (Experimental)

// Go SDK configuration
Aggregation: metric.AggregationBase2ExponentialHistogram{
    MaxSize:  160,      // Maximum buckets
    MaxScale: 20,       // Scale factor
}

Key Benefits:

  • Explicit min/max values (no estimation needed)
  • Better accuracy for extreme percentiles
  • Native OTLP format preservation

Multi-Tenancy

mimir:
  structuredConfig:
    multitenancy_enabled: true
    no_auth_tenant: anonymous    # Used when multitenancy disabled

Query with tenant header:

curl -H "X-Scope-OrgID: tenant-a" \
  "http://mimir:8080/prometheus/api/v1/query?query=up"

Tenant ID Constraints:

  • Max 150 characters
  • Allowed: alphanumeric, ! - _ . * ' ( )
  • Prohibited: . or .. alone, __mimir_cluster, slashes

API Reference

Ingestion Endpoints

# Prometheus remote write
POST /api/v1/push

# OTLP metrics
POST /otlp/v1/metrics

# InfluxDB line protocol
POST /api/v1/push/influx/write

Query Endpoints

# Instant query
GET,POST /prometheus/api/v1/query?query=<promql>&time=<timestamp>

# Range query
GET,POST /prometheus/api/v1/query_range?query=<promql>&start=<start>&end=<end>&step=<step>

# Labels
GET,POST /prometheus/api/v1/labels
GET /prometheus/api/v1/label/{name}/values

# Series
GET,POST /prometheus/api/v1/series

# Exemplars
GET,POST /prometheus/api/v1/query_exemplars

# Cardinality
GET,POST /prometheus/api/v1/cardinality/label_names
GET,POST /prometheus/api/v1/cardinality/active_series

Administrative Endpoints

# Flush ingester data
GET,POST /ingester/flush

# Prepare shutdown
GET,POST,DELETE /ingester/prepare-shutdown

# Ring status
GET /ingester/ring
GET /distributor/ring
GET /store-gateway/ring
GET /compactor/ring

# Tenant stats
GET /distributor/all_user_stats
GET /api/v1/user_stats
GET /api/v1/user_limits

Health & Config

GET /ready
GET /metrics
GET /config
GET /config?mode=diff
GET /runtime_config

Azure Identity Configuration

User-Assigned Managed Identity

1. Create Identity:

az identity create \
  --name mimir-identity \
  --resource-group <rg>

IDENTITY_CLIENT_ID=$(az identity show --name mimir-identity --resource-group <rg> --query clientId -o tsv)
IDENTITY_PRINCIPAL_ID=$(az identity show --name mimir-identity --resource-group <rg> --query principalId -o tsv)

2. Assign to Node Pool:

az vmss identity assign \
  --resource-group <aks-node-rg> \
  --name <vmss-name> \
  --identities /subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.ManagedIdentity/userAssignedIdentities/mimir-identity

3. Grant Storage Permission:

az role assignment create \
  --role "Storage Blob Data Contributor" \
  --assignee-object-id $IDENTITY_PRINCIPAL_ID \
  --scope /subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.Storage/storageAccounts/<storage>

4. Configure Mimir:

mimir:
  structuredConfig:
    common:
      storage:
        azure:
          user_assigned_id: <IDENTITY_CLIENT_ID>

Workload Identity Federation

1. Create Federated Credential:

az identity federated-credential create \
  --name mimir-federated \
  --identity-name mimir-identity \
  --resource-group <rg> \
  --issuer <aks-oidc-issuer-url> \
  --subject system:serviceaccount:monitoring:mimir \
  --audiences api://AzureADTokenExchange

2. Configure Helm Values:

serviceAccount:
  annotations:
    azure.workload.identity/client-id: <IDENTITY_CLIENT_ID>

podLabels:
  azure.workload.identity/use: "true"

Troubleshooting

Common Issues

1. Container Not Found (Azure)

# Create required containers
az storage container create --name mimir-blocks --account-name <storage>
az storage container create --name mimir-alertmanager --account-name <storage>
az storage container create --name mimir-ruler --account-name <storage>

2. Authorization Failure (Azure)

# Verify RBAC assignment
az role assignment list --scope /subscriptions/<sub>/resourceGroups/<rg>/providers/Microsoft.Storage/storageAccounts/<storage>

# Assign if missing
az role assignment create \
  --role "Storage Blob Data Contributor" \
  --assignee-object-id <principal-id> \
  --scope <storage-scope>

# Restart pod to refresh token
kubectl delete pod -n monitoring <ingester-pod>

3. Ingester OOM

ingester:
  resources:
    limits:
      memory: 16Gi  # Increase memory

4. Query Timeout

mimir:
  structuredConfig:
    querier:
      timeout: 5m
      max_concurrent: 20

5. High Cardinality

mimir:
  structuredConfig:
    limits:
      max_series_per_user: 5000000
      max_series_per_metric: 50000

Diagnostic Commands

# Check pod status
kubectl get pods -n monitoring -l app.kubernetes.io/name=mimir

# Check ingester logs
kubectl logs -n monitoring -l app.kubernetes.io/component=ingester --tail=100

# Check distributor logs
kubectl logs -n monitoring -l app.kubernetes.io/component=distributor --tail=100

# Verify readiness
kubectl exec -it <mimir-pod> -n monitoring -- wget -qO- http://localhost:8080/ready

# Check ring status
kubectl port-forward svc/mimir-distributor 8080:8080 -n monitoring
curl http://localhost:8080/distributor/ring

# Check configuration
kubectl exec -it <mimir-pod> -n monitoring -- cat /etc/mimir/mimir.yaml

# Validate configuration before deployment
mimir -modules -config.file <path-to-config-file>

Key Metrics to Monitor

# Ingestion rate per tenant
sum by (user) (rate(cortex_distributor_received_samples_total[5m]))

# Series count per tenant
sum by (user) (cortex_ingester_memory_series)

# Query latency
histogram_quantile(0.99, sum by (le) (rate(cortex_request_duration_seconds_bucket{route=~"/api/prom/api/v1/query.*"}[5m])))

# Compactor status
cortex_compactor_runs_completed_total
cortex_compactor_runs_failed_total

# Store-gateway block sync
cortex_bucket_store_blocks_loaded

Circuit Breakers (Ingester)

mimir:
  structuredConfig:
    ingester:
      push_circuit_breaker:
        enabled: true
        request_timeout: 2s
        failure_threshold_percentage: 10
        cooldown_period: 10s
      read_circuit_breaker:
        enabled: true
        request_timeout: 30s

States:

  1. Closed - Normal operation
  2. Open - Stops forwarding to failing instances
  3. Half-open - Limited trial requests after cooldown

External Resources

平台分布

Claude Code

28.59%
按下载量换算122

Gemini CLI

23.28%
按下载量换算100

Cursor

19.36%
按下载量换算83

OpenCode

12.37%
按下载量换算53

Antigravity

8.41%
按下载量换算36

Codex

3.44%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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