1,208 free skills
Deployment & CI/CD skills
Skills for shipping — CI/CD pipelines, GitHub Actions, release management, feature flags, and rollback strategy.
Sourced from real, public repositories — synced daily, never invented.
1,208 free skills
Skills for shipping — CI/CD pipelines, GitHub Actions, release management, feature flags, and rollback strategy.
Sourced from real, public repositories — synced daily, never invented.
15 tools across six categories
13 of them never send your data anywhere
Free · No signup · No trial clock
SEE THE DIRECTORY
canary-watch
thiranon/everything-claude-code
Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
canary-watch
mit-network/everything-claude-code
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
canary-watch
partha7364/everything-claude-code
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
canary-watch
burgebj/claude_everything
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
canary-watch
pcoulbourne/everything-claude-code
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
canary-watch
mitamarcelo/everything-claude-code
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
canary-watch
mrebrahim/everything-claude-code
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
canary-watch
nassimbf/ftitos-claude-code
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
deployment-plan
fattain-naime/engineering-docs
Write a production deployment plan covering environment specs, deployment strategy (Blue-Green, Canary, Rolling, or Direct), step-by-step execution runsheet, go/no-go criteria, monitoring plan, and rollback procedure. Use before any non-trivial production release.
using-maestro
89jobrien/dotfiles
Use when working on the Maestro project — K8s pod management, Tilt local dev, GKE deployments, Go+Rust codegen, n8n workflows, or Maestro CLI development
ci-cd-pipeline-builder
droodotfoo/agent-skills
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ci-cd-pipelines
agricidaniel/awesome-claude-code-toolkit
CI/CD pipeline patterns for GitHub Actions, GitLab CI, testing strategies, and deployment automation
ci-cd-pipeline-setup
lgrappag/workflows-agents
Configure CI/CD pipelines for automated testing and deployment
release-management
eser/stack
Release checklist, version strategy, and publishing workflow for JSR/npm. Use when bumping versions, creating releases, or managing the release pipeline.
github-actions
mcclowes/omg
Use when creating GitHub Actions workflows for CI/CD - testing, building, publishing npm packages, and automating repository tasks
release-manager
mdnaimul22/human-skills
Use when the user asks to plan releases, manage changelogs, coordinate deployments, create release branches, or automate versioning.
adding-feature-flags
witi-projects/skills
Add feature flags to an application for gradual rollouts, A/B testing, and kill switches using PostHog, LaunchDarkly, or a simple local implementation. Use when the user says "/adding-feature-flags", "adding feature flags", or asks about adding feature flags.
release-manager
finos/morphir
Assists with Morphir release management, including pre-release verification, changelog generation, and release coordination. Use when preparing releases, checking release readiness, or managing version bumps.
flutter-feature-flags
yendangn/flutter-app-builder
Use this skill when implementing Flutter feature flags — FeatureFlagService, Firebase Remote Config, A/B testing, kill switches, gradual rollout, dev/debug menu for flags, FeatureGate widget, remote feature toggles, local feature flags, or controlling feature availability per environment or user segment.
feature-flags
yepapi/skills
LaunchDarkly/Flagsmith/Vercel patterns, gradual rollouts, percentage splits, A/B toggles.
DevOps Automator
53able/agency-agents
Expert DevOps engineer specializing in infrastructure automation, CI/CD pipeline development, and cloud operations
rollback-readiness-checker
sisodiabhumca/agent-skills
Vendor-neutral skill to evaluate rollback readiness for releases using config, schema, and feature flags.
deploy
benaskins/humanpowers
Ship services one at a time, each confirmed serving before the next
ops-rollback
cyberpunk042/devops-expert-local-ai
Revert AICP/fleet to a recorded last-known-good state — uses the rollback contract that `ops-deploy` Operation 4 records (commit SHA + image tags + profile name in `docs/DEPLOY-LOG.md` and `/tmp/predeploy-*-<env>.txt`). Preserves the failed-state evidence first, executes the revert, smokes the result, then updates the log + hands off to `ops-incident` for diagnosis. Distinct from `ops-incident` (active response — rollback is one tool incident may use) and `ops-deploy` (forward action — this skill is the explicit reverse). Loads when the operator says "rollback", "revert the deploy", "go back to last good", "undo the release", "this deploy is broken — back it out".
canary-watch
devenkhatri/everything-claude-code
Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.
canary-watch
jord5s/everything-claude-code
Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
canary-watch
pey-sjitech/ecc
Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
jenkins-cd
alisonaquinas/llm-ci-dev
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rollback-deployment
harumi-io/harumi-devops-plugin
Roll back a Kubernetes deployment to a previous revision with safety checks. Use when: user wants to rollback, revert, or undo a deployment.
ai-canary-deployment
winbda/claude-skills-collection
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databricks-asset-bundles
databricks-solutions/lakebase-online-ml
Create and configure Databricks Asset Bundles (DABs) with best practices for multi-environment deployments. Use when working with: (1) Creating new DAB projects, (2) Adding resources (dashboards, pipelines, jobs, alerts), (3) Configuring multi-environment deployments, (4) Setting up permissions, (5) Deploying or running bundle resources
cli
appwrite/claude-plugin
Appwrite CLI skill. Use when managing Appwrite projects from the command line. Covers installation, login, project initialization, deploying functions/sites/tables/buckets/teams/topics, managing resources, non-interactive CI/CD mode, and generating type-safe SDKs.
azure-kubernetes-automatic-readiness
microsoft/azure-skills
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
azd-deployment
microsoft/skills
Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Container Apps, configuring remote builds with ACR, implementing idempotent deployments, managing environment variables across local/.azure/Bicep, or troubleshooting azd up failures. Triggers on requests for azd configuration, Container Apps deployment, multi-service deployments, and infrastructure-as-code with Bicep.
azure-ai-projects-ts
microsoft/skills
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
azure-quotas
microsoft/skills
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: \"check quotas\", \"service limits\", \"current usage\", \"request quota increase\", \"quota exceeded\", \"validate capacity\", \"regional availability\", \"provisioning limits\", \"vCPU limit\", \"how many vCPUs available in my subscription\".
azure-appconfiguration-ts
microsoft/skills
Build applications using Azure App Configuration SDK for JavaScript (@azure/app-configuration). Use when working with configuration settings, feature flags, Key Vault references, dynamic refresh, or centralized configuration management.
azd-deployment
microsoft/agent-skills
Deploy containerized applications to Azure Container Apps using Azure Developer CLI (azd). Use when setting up azd projects, writing azure.yaml configuration, creating Bicep infrastructure for Container Apps, configuring remote builds with ACR, implementing idempotent deployments, managing environment variables across local/.azure/Bicep, or troubleshooting azd up failures. Triggers on requests for azd configuration, Container Apps deployment, multi-service deployments, and infrastructure-as-code with Bicep.
azure-ai-projects-py
microsoft/agent-skills
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
deploy-to-vercel
openai/plugins
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
pinecone:cli
pinecone-io/pinecone-claude-code-plugin
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation, and full control over Pinecone resources.
cli
pinecone-io/skills
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation, and full control over Pinecone resources.
querying-posthog-data
posthog/posthog
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces). Covers HogQL syntax differences from ClickHouse SQL, system table schemas (system.*), available functions, query examples, and the schema-discovery workflow.
copying-flags-across-projects
posthog/posthog
Copy a feature flag from one PostHog project to one or more target projects in the same organization. Use when the user wants to duplicate a flag, promote a flag from staging to production, sync flags across projects, or replicate a flag configuration in a different workspace. Covers cohort remapping, scheduled-change handling, encrypted payloads, and the safe defaults (disabled in target, no scheduled changes).
query-examples
posthog/posthog
HogQL query examples and reference material for PostHog data. Read when writing SQL queries to find patterns for analytics (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces) and system data (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse). Includes HogQL syntax differences, system model schemas, and available functions.
vercel-deploy
firecrawl/openai-skills
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
finding-deleted-feature-flags
posthog/ai-plugin
Find feature flags that were soft-deleted in the active project within a recent time window. Use when the user asks "what flags were deleted in the last N days", "show me recently deleted feature flags", "who deleted flag X", "audit recent flag deletions", or anything similar. Handles the non-obvious gotcha that system.feature_flags exposes the deleted boolean but does not expose a deletion timestamp — the actual deleted-at time lives in the per-flag activity log and must be cross-referenced.
databricks-aibi-dashboards
databricks-solutions/vibe-coding-workshop-template
Production-grade patterns for Databricks AI/BI (Lakeview) dashboards. Prevents visualization errors, deployment failures, and maintenance issues through widget-query alignment, number formatting, parameter configuration, monitoring table patterns, chart scale properties, and automated deployment workflows. Includes complete JSON templates, validation scripts, and step-by-step implementation guide.
databricks-table-valued-functions
databricks-solutions/vibe-coding-workshop-template
End-to-end guide for planning, creating, deploying, and validating Table-Valued Functions (TVFs) in Databricks optimized for Genie Space natural language queries. Use when creating TVFs for Genie Spaces, planning TVF requirements from business questions, troubleshooting TVF compilation errors, or ensuring Genie compatibility. Includes requirements gathering templates, schema validation patterns, SQL requirements (STRING parameters, parameter ordering, LIMIT workarounds), v3.0 bullet-point comment format, null safety, SCD2 handling, cartesian product prevention, 5 complete domain-adaptable examples, Asset Bundle deployment patterns, and post-deployment validation queries.
databricks-asset-bundles
databricks-solutions/vibe-coding-workshop-template
Standard patterns for Databricks Asset Bundles configuration files for serverless jobs, DLT pipelines, dashboards, alerts, apps, and workflows. Use when creating, configuring, or deploying DABs for infrastructure-as-code deployments. Covers mandatory serverless environment configuration, hierarchical job architecture (atomic/composite/orchestrator), DLT pipeline patterns, dashboard resources with dataset_catalog/dataset_schema, SQL Alerts v2 API schema, Apps lifecycle, Python notebook parameter passing (dbutils.widgets.get vs argparse), deployment error prevention, and pre-deployment validation.
dlt-expectations-patterns
databricks-solutions/vibe-coding-workshop-template
Spark Declarative Pipeline (SDP, formerly DLT) expectations patterns for data quality with Unity Catalog Delta table storage. Use when implementing Silver layer SDP/DLT pipelines, creating portable data quality rules, or needing runtime-updateable expectations without code deployment. Supports severity-based filtering (critical vs warning) and quarantine patterns. Uses `import dlt` (legacy API) because `@dlt.expect_all_or_drop()` decorators are not yet available in the modern `dp` API (`from pyspark import pipelines as dp`).
05-schema-validation
databricks-solutions/vibe-coding-workshop-template
Runtime schema validation patterns for Gold layer merge scripts. Use when creating merge scripts to ensure DataFrame columns match target DDL schemas, validate column mappings before MERGE operations, and catch schema issues before deployment. Includes the DDL-first workflow, validate_merge_schema() helper, explicit column mapping, DDL schema reader, and pre-deployment validation script. Addresses the "three sources of truth" problem by enforcing DDL as runtime truth.
genie-space-patterns
databricks-solutions/vibe-coding-workshop-template
Patterns for setting up Databricks Genie Spaces with comprehensive agent instructions, data assets, and benchmark questions. Use when creating Genie Spaces, configuring agent behavior, selecting data assets, or validating benchmark questions. Includes mandatory 7-section deliverable structure, General Instructions (≤20 lines), data asset organization (Metric Views → TVFs → Tables), benchmark questions with exact SQL, Serverless warehouse mandate, table/column comment requirements for Genie SQL quality, pre-creation table inspection, Conversation API programmatic validation, follow-up vs new conversation patterns, and deployment checklists.
gold-layer-setup
databricks-solutions/vibe-coding-workshop-template
End-to-end orchestrator for implementing Gold layer tables, merge scripts, FK constraints, and Asset Bundle jobs from YAML schema definitions. Guides users through Silver contract validation, YAML-driven table creation, Silver-to-Gold MERGE operations (SCD Type 1/2 dimensions, aggregated/transaction facts, accumulating snapshots, factless facts, periodic snapshots, junk dimensions), foreign key constraint application, Asset Bundle job configuration, and post-deployment validation. Orchestrates pipeline-workers (01-yaml-table-setup, 02-merge-patterns, 03-deduplication, 04-grain-validation, 05-schema-validation) and common skills (databricks-asset-bundles, databricks-table-properties, databricks-python-imports, schema-management-patterns, unity-catalog-constraints, databricks-expert-agent). Use when implementing Gold layer from YAML designs, creating table setup scripts, writing merge scripts, deploying Gold layer jobs, or troubleshooting Gold layer implementation errors.
deployment-automation
databricks-solutions/vibe-coding-workshop-template
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unity-catalog-constraints
databricks-solutions/vibe-coding-workshop-template
Unity Catalog Primary Key and Foreign Key constraint patterns for proper relational modeling in Databricks. Use when implementing star schema dimensional models with PK/FK relationships in Gold layer tables. Covers surrogate keys as PRIMARY KEYS (not business keys), facts referencing surrogate PKs via FOREIGN KEY constraints, NOT NULL requirements for PK columns, proper dimensional modeling patterns (SCD Type 1/2, date dimensions), production deployment error prevention (never define FK inline in CREATE TABLE, DATE type casting from DATE_TRUNC, avoid module imports, widget parameter naming consistency), and validation checklists. Critical for ensuring proper relational modeling and preventing constraint application errors during Gold layer deployment.
metric-views-patterns
databricks-solutions/vibe-coding-workshop-template
Standard patterns for creating Databricks Metric Views with semantic metadata for Genie and AI/BI. Use when creating metric views, troubleshooting metric view creation errors, validating schema references before deployment, implementing joins (including snowflake schema patterns), or optimizing metric views for Genie natural language queries.
sql-alerting-patterns
databricks-solutions/vibe-coding-workshop-template
Comprehensive guide for Databricks SQL Alerts V2 - config-driven alerting framework with SDK deployment, hierarchical job architecture (5 atomic + 1 composite), proactive EXPLAIN-based query validation, and partial success patterns. Use when setting up SQL alerts, creating alert configuration tables, deploying alerts via Databricks SDK (V2 dict-based or typed classes), or troubleshooting alert failures. Includes config-driven patterns, fully qualified table names (no parameters), severity-based routing, alert ID conventions, SQL query patterns (threshold, percentage change, anomaly detection), DataFrame-based config seeding, DAB job configuration, custom notification templates, Quartz cron schedules, and troubleshooting patterns.
design-doc-mermaid
spillwavesolutions/agent_rulez
Create Mermaid diagrams (activity, deployment, sequence, architecture) from text descriptions or source code. Use when asked to "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", or "convert code to diagram". Supports hierarchical on-demand guide loading, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.
Accessibility Tool Builder
community-access/accessibility-agents
Expert in building accessibility scanning tools, rule engines, document parsers, report generators, and audit automation. WCAG criterion mapping, severity scoring, CLI/GUI scanner architecture, CI/CD integration.