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Agent Skills

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complexity-assessment

AI-based complexity assessment for task analysis. Use when determining the appropriate workflow, phases, and validation depth for a task.

oimiragieo
oimiragieo
19

compliance-policy-check

Validate planned changes against local framework rules and policy guardrails before implementation or creation.

oimiragieo
oimiragieo
19

composer-dependency-management

Rules pertaining to Composer dependency management, promoting best practices for declaring and updating dependencies.

oimiragieo
oimiragieo
19

comprehensive-type-annotations

Requires detailed type annotations for all Python functions, methods, and class members.

oimiragieo
oimiragieo
19

comprehensive-unit-testing-with-pytest

Aims for high test coverage using pytest, testing both common and edge cases.

oimiragieo
oimiragieo
19

configuration-management

Configuration management techniques

oimiragieo
oimiragieo
19

content-analyzer

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oimiragieo
oimiragieo
19

consensus-voting

Byzantine consensus voting for multi-agent decision making. Implements voting protocols, conflict resolution, and agreement algorithms for reaching consensus among multiple agents.

oimiragieo
oimiragieo
19

container-expert

Container orchestration expert including Docker, Kubernetes, Helm, and service mesh

oimiragieo
oimiragieo
19

containerization-rules

Rules for creating and maintaining Dockerfiles.

oimiragieo
oimiragieo
19

diagram-generator

Generates architecture, database, and system diagrams using Mermaid syntax. Creates visual representations of system architecture, database schemas, component relationships, data flows, and standalone HTML exports.

oimiragieo
oimiragieo
19

doc-generator

Generates comprehensive documentation from code, APIs, and specifications. Creates API documentation, developer guides, architecture docs, and user manuals with examples and tutorials.

oimiragieo
oimiragieo
19

docker-compose

Docker Compose container orchestration and management. Manage multi-container applications, services, networks, and volumes. Use for local development, testing, and orchestration of containerized applications.

oimiragieo
oimiragieo
19

dry-principle

This rule enforces the Don't Repeat Yourself principle to avoid code duplication and improve maintainability.

oimiragieo
oimiragieo
19

dto-conventions

Sets standards for Data Transfer Objects (DTOs), typically records, including parameter validation in compact canonical constructors.

oimiragieo
oimiragieo
19

dynamic-api-integration

Discover, parse, and call external HTTP APIs at runtime using OpenAPI specs, tool templates, and iterative chaining. Adapted from UTCP (Universal Tool Calling Protocol) patterns for Node.js and Claude Code agents.

oimiragieo
oimiragieo
19

incident-runbook-templates

Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use when building runbooks, responding to incidents, or establishing incident response procedures.

oimiragieo
oimiragieo
19

init

Auto-evolution skill to initialize a new repository with AGENTS.md localized context.

oimiragieo
oimiragieo
19

insecure-defaults

Detect hardcoded credentials, default passwords, fail-open configurations, insecure default settings, and other security misconfigurations that ship as default behavior in applications.

oimiragieo
oimiragieo
19

insight-extraction

Extract actionable insights from completed coding sessions. Use when a session completes to capture learnings for future sessions.

oimiragieo
oimiragieo
19

instinct-learning

Records atomic learned behaviors with confidence scores. Project-scoped instincts are isolated per project and auto-promote to global scope at confidence threshold 0.8. Stores instincts in .claude/context/memory/instincts.jsonl

oimiragieo
oimiragieo
19

interactive-requirements-gathering

Structured interactive questionnaire framework for gathering requirements from users. Uses A/B/C/D/E multiple choice patterns with additive vs exclusive question classification.

oimiragieo
oimiragieo
19

ios-expert

iOS development expert including SwiftUI, UIKit, and Apple frameworks

oimiragieo
oimiragieo
19

java-expert

Java and Spring Boot expert including REST APIs, JPA, and microservices

oimiragieo
oimiragieo
19

judge-verification

Independent LLM judge evaluates task completion separately from the executing agent, catching false success claims by reviewing task goal, actions taken, final state, and evidence. Produces PASS/FAIL with confidence score and reasoning.

oimiragieo
oimiragieo
19

jupyter-notebook-best-practices

Guidelines for structuring and documenting Jupyter notebooks for reproducibility and clarity.

oimiragieo
oimiragieo
19

k8s-manifest-generator

Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.

oimiragieo
oimiragieo
19

k8s-security-policies

Implement Kubernetes security policies including NetworkPolicy, PodSecurityPolicy, and RBAC for production-grade security. Use when securing Kubernetes clusters, implementing network isolation, or enforcing pod security standards.

oimiragieo
oimiragieo
19

knowledge-graph

Entity and relation tracking skill using MCP memory server patterns and local knowledge graph storage. Build persistent knowledge graphs of entities, relationships, and observations across agent sessions. Covers the MCP memory server (@modelcontextprotocol/server-memory), local JSON-based graphs, and entity-relation querying patterns for long-running agents.

oimiragieo
oimiragieo
19

kubernetes-flux

Kubernetes cluster management and troubleshooting. Query pods, deployments, services, logs, and events. Supports context switching, scaling, and rollout management. Use for Kubernetes debugging, monitoring, and operations.

oimiragieo
oimiragieo
19

llm-council

Orchestrate multi-LLM parallel debate and synthesis. Dispatches prompts to available omega CLI wrappers in parallel, collects independent responses, runs anonymized peer review ranking, and synthesizes via a chairman model. Supports collaboration templates, idle watchdog, inter-agent messaging, worktree isolation, and multi-turn sessions. No server required.

oimiragieo
oimiragieo
19

logging-module-usage

Employs the logging module judiciously to log important events, warnings, and errors.

oimiragieo
oimiragieo
19

lsp-navigator

Compiler-level code intelligence via native LSP — definitions, references, types, call hierarchies, and diagnostics.

oimiragieo
oimiragieo
19

omega-codex-cli

Shell out to OpenAI Codex CLI for headless code generation, analysis, and question-answering. Optimized for code tasks. Requires OPENAI_API_KEY env var.

oimiragieo
oimiragieo
19

marketing-content

Content strategy, copywriting frameworks (AIDA/PAS/BAB/4Ps/FAB), editorial calendar management, platform-specific content, A/B testing, campaign planning, audience targeting, and content performance measurement.

oimiragieo
oimiragieo
19

markitdown-converter

Convert files to Markdown using Microsoft's MarkItDown library

oimiragieo
oimiragieo
19

medusa-security

>-

oimiragieo
oimiragieo
19

memory-audit

Comprehensive health check across CC auto-memory and agent-studio memory systems — detects orphans, duplicates, staleness, and threshold violations

oimiragieo
oimiragieo
19

memory-forensics

Master memory forensics techniques including memory acquisition, process analysis, and artifact extraction using Volatility and related tools. Use when analyzing memory dumps, investigating incidents, or performing malware analysis from RAM captures.

oimiragieo
oimiragieo
19

memory-quality-auditor

Audit memory retrieval quality (drift, staleness, citation-groundedness) and produce remediation backlog.

oimiragieo
oimiragieo
19

memory-search

Semantic search over global agent memory. Use to retrieve previously learned patterns, decisions, gotchas, and workarounds. Prevents stale-context errors across long sessions and multi-agent pipelines.

oimiragieo
oimiragieo
19

ml-experiment-loop

Autonomous fixed-budget ML experiment loop — setup, iterative hypothesis testing, git-based keep/discard tracking, and indefinite autonomous execution. Implements the karpathy/autoresearch protocol.

oimiragieo
oimiragieo
19

mobile-first-design-rules

Focuses on rules and best practices for mobile-first design and responsive typography using tailwind.

oimiragieo
oimiragieo
19

mobile-ui-development-rule

General rules pertaining to Mobile UI development. Covers UI/UX best practices, state management, and navigation patterns.

oimiragieo
oimiragieo
19

modern-python

Modern Python tooling best practices using uv, ruff, ty, and pytest. Mandates the Trail of Bits Python coding standards for project setup, dependency management, linting, type checking, and testing. Based on patterns from trailofbits/cookiecutter-python.

oimiragieo
oimiragieo
19

multi-agent-architecture-reference

Decision matrix for selecting multi-agent topologies (Supervisor, Swarm, Hierarchical, Conductor) with token economics, failure modes, and escalation paths

oimiragieo
oimiragieo
19

next-cache-components

Next.js 16 caching model expertise covering the 'use cache' directive, cacheLife() API, cacheTag() for invalidation, cacheComponents configuration, and Partial Prerendering (PPR). Use when implementing caching strategies in Next.js 16+ applications, migrating from unstable_cache, or optimizing server component rendering.

vercel-labs
vercel-labs
19

next-upgrade

Structured workflow for upgrading Next.js applications across major versions. Use when migrating a Next.js project from one major version to another (e.g., 13 to 14, 14 to 15, 15 to 16). Covers codemod automation, breaking change detection, incremental migration paths, and post-upgrade validation.

vercel-labs
vercel-labs
19

nextjs-expert

Next.js framework expert including App Router, Server Components, and API routes

oimiragieo
oimiragieo
19

nodejs-expert

Node.js backend expert including Express, NestJS, and async patterns

oimiragieo
oimiragieo
19

Page 804 of 1486 · 74266 results

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.