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Agent Skills

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context-compressor

Compress large context before reasoning to reduce token usage while preserving evidence. Use this whenever the user mentions huge files, long prompts, RAG payloads, prompt caching, expensive sessions, codebase context, chat history compaction, or wants the same answer quality with fewer tokens.

oimiragieo
oimiragieo
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skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

oimiragieo
oimiragieo
19

context-degradation

Token-range severity zones (Green/Yellow/Orange/Red/Critical) with detection checklist, early warning indicators, and corrective routing actions for context window degradation

oimiragieo
oimiragieo
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context-driven-development

Context-Driven Development methodology - treating project context as managed artifacts alongside code for consistent AI interactions and team alignment.

oimiragieo
oimiragieo
19

cpp

C++ coding standards and best practices.

oimiragieo
oimiragieo
19

creation-feasibility-gate

Validate whether a proposed new artifact is feasible in the current stack before creator workflows run.

oimiragieo
oimiragieo
19

cron-decision

Decision framework for agents to determine WHEN and WHETHER to use Claude Code's native cron scheduler (CronCreate/CronList/CronDelete) vs OS cron, GitHub Actions, or simple Task() delegation.

oimiragieo
oimiragieo
19

cron-runner

Background orchestrator that drains the system-wide cron-actions-queue.jsonl queue safely, preventing LLM context pollution in the primary router.

oimiragieo
oimiragieo
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data-expert

Data processing expert including parsing, transformation, and validation

oimiragieo
oimiragieo
19

database-architect

Database design and optimization specialist. Schema design, query optimization, indexing strategies, data modeling, and migration planning for relational and NoSQL databases.

oimiragieo
oimiragieo
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database-expert

Database expert including Prisma, Supabase, SQL, and NoSQL patterns

oimiragieo
oimiragieo
19

de-sloppify

Two-agent cleanup pattern. Implementer works freely, then a dedicated cleanup agent removes unused imports, console.logs, commented-out code, dead code, and formatting issues. Produces a diff of what was cleaned.

oimiragieo
oimiragieo
19

debug-log-analysis

Structured debug log analysis for Claude Code sessions — auto-discovers most recent log, runs reducer, extracts error patterns, correlates with full log, produces observability report. Fills 5 identified gaps: hook error body capture, agent identity, file path tracking, stall correlation, success visibility.

oimiragieo
oimiragieo
19

debugging

Systematic 4-phase debugging with root cause investigation. Use when fixing bugs to prevent random fixes.

oimiragieo
oimiragieo
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deep-research

Multi-step autonomous research methodology for deep investigation tasks with structured synthesis

oimiragieo
oimiragieo
19

dependency-analyzer

Analyzes project dependencies, detects outdated packages, identifies breaking changes, and suggests safe update strategies. Helps maintain dependency health and security.

oimiragieo
oimiragieo
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design-and-user-experience-guidelines

Specifies design and user experience guidelines, including dark mode compatibility, responsive design, performance optimization, modern UI, and accessibility. This rule promotes a user-friendly and vi

oimiragieo
oimiragieo
19

design-systems

Design system lookup, CSS best practices, and AI-driven UI component generation via MCP tools

oimiragieo
oimiragieo
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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

differential-review

Perform security-focused review of code diffs and pull requests, identifying newly introduced vulnerabilities, security regressions, and unsafe patterns in changed code.

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
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dry-principle

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

oimiragieo
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dto-conventions

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

oimiragieo
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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
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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
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insight-extraction

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

oimiragieo
oimiragieo
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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
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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
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ios-expert

iOS development expert including SwiftUI, UIKit, and Apple frameworks

oimiragieo
oimiragieo
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java-expert

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

oimiragieo
oimiragieo
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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
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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
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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
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logging-module-usage

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

oimiragieo
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lsp-navigator

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

oimiragieo
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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
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markitdown-converter

Convert files to Markdown using Microsoft's MarkItDown library

oimiragieo
oimiragieo
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medusa-security

>-

oimiragieo
oimiragieo
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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
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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
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Page 803 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.