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Agent Skills

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autonomous-loop

Iterate until success or limit, composing existing skills with Jidoka integration

wellapp-ai
wellapp-ai
33550

bpmn-workflow

Generate and maintain BPMN 2.0 diagrams linked to Gherkin scenarios

wellapp-ai
wellapp-ai
33550

code-review

Review code changes against hard rules and conventions

wellapp-ai
wellapp-ai
33550

competitor-scan

Research best-in-class products using Browser MCP and WebSearch

wellapp-ai
wellapp-ai
33550

compliance-audit

Audit Value Delivery compliance after PR push

wellapp-ai
wellapp-ai
33550

debug

Systematic debugging with MCP integration, auto-invoke from qa-commit, Phase 7 Harden

wellapp-ai
wellapp-ai
33550

decision-capture

Capture patine (decision wisdom) at Gates when KO or challenge occurs

wellapp-ai
wellapp-ai
33550

dependency-mapping

Map slice dependencies using DSM matrix and prioritize by risk

wellapp-ai
wellapp-ai
33550

design-context

Refresh UI/UX context from design system, Storybook, and codebase

wellapp-ai
wellapp-ai
33550

gtm-alignment

Align phases with GTM strategy, persona tiers, and KPI targets

wellapp-ai
wellapp-ai
33550

hotfix

Expedited workflow for urgent production issues

wellapp-ai
wellapp-ai
33550

notion-sync

Standardize Notion task updates across all modes

wellapp-ai
wellapp-ai
33550

mcp-server

Guide for creating new MCP server integrations

wellapp-ai
wellapp-ai
33550

problem-framing

Frame problems using JTBD Job Stories, HMW questions, and persona validation

wellapp-ai
wellapp-ai
33550

qa-planning

Generate QA Contract with numbered Gherkin scenarios (G#N) and acceptance criteria (AC#N)

wellapp-ai
wellapp-ai
33550

phasing

Group slices into risk-optimized phases with timeline generation

wellapp-ai
wellapp-ai
33550

disabling-services

Hides or disables a service from the documentation listing while preserving the page for SEO and bookmarks. Use when deprecating services, marking services unavailable, adding disabled:true to List.vue, or adding warning callouts to service pages. Keeps docs/services/ pages accessible via direct URL.

coollabsio
coollabsio
334275

adding-documentation-pages

Creates documentation pages for guides, tutorials, knowledge base articles, and troubleshooting content in docs/. Use when adding how-to guides, writing KB articles, creating troubleshooting docs, adding pages to get-started/, applications/, databases/, knowledge-base/, or integrations/. NOT for service pages - use adding-service-documentation for docs/services/.

coollabsio
coollabsio
334275

adding-service-documentation

Documents new Coolify one-click services by creating markdown pages in docs/services/, downloading logos to docs/public/images/services/, and updating List.vue catalog. Use when adding service documentation, creating service pages, onboarding services from templates/compose/, or updating the services catalog with new entries.

coollabsio
coollabsio
334275

renaming-services

Renames a service documentation file and updates all references across docs/services/, List.vue, and nginx/redirects.conf. Use when renaming services, changing service slugs, fixing camelCase to kebab-case, or when service names change in the Coolify repository templates/compose/.

coollabsio
coollabsio
334275

build-deploy

Build llm-mux binary and run locally for development/debugging

nghyane
nghyane
33194

llm-mux-test

Test llm-mux IR translator - cross-format API translation

nghyane
nghyane
33194

python-lib-analyzer

Analyze any Python library structure, explore modules, classes, and functions with signatures and documentation.

shibing624
shibing624
33048

web-research

Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research

shibing624
shibing624
33048

browsing

Use when you need direct browser control - teaches Chrome DevTools Protocol for controlling existing browser sessions, multi-tab management, form automation, and content extraction via use_browser MCP tool

obra
obra
32949

browser-automation

Reliable, composable browser automation using minimal OpenCode Browser primitives.

different-ai
different-ai
32824

lean4

Use when editing .lean files, debugging Lean 4 builds (type mismatch, sorry, failed to synthesize instance, axiom warnings, lake build errors), searching mathlib for lemmas, formalizing mathematics in Lean, finding a counterexample to, refuting, or disproving a Lean statement, or learning Lean 4 concepts. Also trigger when the user asks for help with Lean 4, mathlib, or lakefile. Do NOT trigger for Coq/Rocq, Agda, Isabelle, HOL4, Mizar, Idris, Megalodon, or other non-Lean theorem provers.

cameronfreer
cameronfreer
32738

deploying-on-azure

Design and implement Azure cloud architectures using best practices for compute, storage, databases, AI services, networking, and governance. Use when building applications on Microsoft Azure or migrating workloads to Azure cloud platform.

ancoleman
ancoleman
32650

implementing-mlops

Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.

ancoleman
ancoleman
32650

load-balancing-patterns

When distributing traffic across multiple servers or regions, use this skill to select and configure the appropriate load balancing solution (L4/L7, cloud-managed, self-managed, or Kubernetes ingress) with proper health checks and session management.

ancoleman
ancoleman
32650

designing-distributed-systems

When designing distributed systems for scalability, reliability, and consistency. Covers CAP/PACELC theorems, consistency models (strong, eventual, causal), replication patterns (leader-follower, multi-leader, leaderless), partitioning strategies (hash, range, geographic), transaction patterns (saga, event sourcing, CQRS), resilience patterns (circuit breaker, bulkhead), service discovery, and caching strategies for building fault-tolerant distributed architectures.

ancoleman
ancoleman
32650

implementing-service-mesh

Implement production-ready service mesh deployments with Istio, Linkerd, or Cilium. Configure mTLS, authorization policies, traffic routing, and progressive delivery patterns for secure, observable microservices. Use when setting up service-to-service communication, implementing zero-trust security, or enabling canary deployments.

ancoleman
ancoleman
32650

designing-layouts

Designs layout systems and responsive interfaces including grid systems, flexbox patterns, sidebar layouts, and responsive breakpoints. Use when structuring app layouts, building responsive designs, or creating complex page structures.

ancoleman
ancoleman
32650

implementing-tls

Configure TLS certificates and encryption for secure communications. Use when setting up HTTPS, securing service-to-service connections, implementing mutual TLS (mTLS), or debugging certificate issues.

ancoleman
ancoleman
32650

managing-configuration

Guide users through creating, managing, and testing server configuration automation using Ansible. When automating server configurations, deploying applications with Ansible playbooks, managing dynamic inventories for cloud environments, or testing roles with Molecule, this skill provides idempotency patterns, secrets management with ansible-vault and HashiCorp Vault, and GitOps workflows for configuration as code.

ancoleman
ancoleman
32650

managing-dns

Manage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DNS, Cloudflare).

ancoleman
ancoleman
32650

implementing-gitops

Implement GitOps continuous delivery for Kubernetes using ArgoCD or Flux. Use for automated deployments with Git as single source of truth, pull-based delivery, drift detection, multi-cluster management, and progressive rollouts.

ancoleman
ancoleman
32650

using-relational-databases

Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).

ancoleman
ancoleman
32650

using-timeseries-databases

Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.

ancoleman
ancoleman
32650

using-vector-databases

Vector database implementation for AI/ML applications, semantic search, and RAG systems. Use when building chatbots, search engines, recommendation systems, or similarity-based retrieval. Covers Qdrant (primary), Pinecone, Milvus, pgvector, Chroma, embedding generation (OpenAI, Voyage, Cohere), chunking strategies, and hybrid search patterns.

ancoleman
ancoleman
32650

visualizing-data

Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.

ancoleman
ancoleman
32650

displaying-timelines

Displays chronological events and activity through timelines, activity feeds, Gantt charts, and calendar interfaces. Use when showing historical events, project schedules, social feeds, notifications, audit logs, or time-based data. Provides implementation patterns for vertical/horizontal timelines, interactive visualizations, real-time updates, and responsive designs with accessibility (WCAG/ARIA).

ancoleman
ancoleman
32650

writing-dockerfiles

Writing optimized, secure, multi-stage Dockerfiles with language-specific patterns (Python, Node.js, Go, Rust), BuildKit features, and distroless images. Use when containerizing applications, optimizing existing Dockerfiles, or reducing image sizes.

ancoleman
ancoleman
32650

writing-github-actions

Write GitHub Actions workflows with proper syntax, reusable workflows, composite actions, matrix builds, caching, and security best practices. Use when creating CI/CD workflows for GitHub-hosted projects or automating GitHub repository tasks.

ancoleman
ancoleman
32650

writing-infrastructure-code

Managing cloud infrastructure using declarative and imperative IaC tools. Use when provisioning cloud resources (Terraform/OpenTofu for multi-cloud, Pulumi for developer-centric workflows, AWS CDK for AWS-native infrastructure), designing reusable modules, implementing state management patterns, or establishing infrastructure deployment workflows.

ancoleman
ancoleman
32650

implementing-drag-drop

Implements drag-and-drop and sortable interfaces with React/TypeScript including kanban boards, sortable lists, file uploads, and reorderable grids. Use when building interactive UIs requiring direct manipulation, spatial organization, or touch-friendly reordering.

ancoleman
ancoleman
32650

implementing-compliance

Implement and maintain compliance with SOC 2, HIPAA, PCI-DSS, and GDPR using unified control mapping, policy-as-code enforcement, and automated evidence collection. Use when building systems requiring regulatory compliance, implementing security controls across multiple frameworks, or automating audit preparation.

ancoleman
ancoleman
32650

implementing-api-patterns

API design and implementation across REST, GraphQL, gRPC, and tRPC patterns. Use when building backend services, public APIs, or service-to-service communication. Covers REST frameworks (FastAPI, Axum, Gin, Hono), GraphQL libraries (Strawberry, async-graphql, gqlgen, Pothos), gRPC (Tonic, Connect-Go), tRPC for TypeScript, pagination strategies (cursor-based, offset-based), rate limiting, caching, versioning, and OpenAPI documentation generation. Includes frontend integration patterns for forms, tables, dashboards, and ai-chat skills.

ancoleman
ancoleman
32650

guiding-users

Implements onboarding and help systems including product tours, interactive tutorials, tooltips, checklists, help panels, and progressive disclosure patterns. Use when building first-time experiences, feature discovery, guided walkthroughs, contextual help, setup flows, or user activation features. Provides timing strategies, accessibility patterns (keyboard, screen readers, reduced motion), and metrics for measuring onboarding success.

ancoleman
ancoleman
32650

generating-documentation

Generate comprehensive technical documentation including API docs (OpenAPI/Swagger), code documentation (TypeDoc/Sphinx), documentation sites (Docusaurus/MkDocs), Architecture Decision Records (ADRs), and diagrams (Mermaid/PlantUML). Use when documenting APIs, libraries, systems architecture, or building developer-facing documentation sites.

ancoleman
ancoleman
32650

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.