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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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adversarial-debate

N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.

oimiragieo
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416

adversarial-review

Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze

oimiragieo
oimiragieo
416

aeon

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

oimiragieo
oimiragieo
416

agent-creator

Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.

oimiragieo
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416

agent-evaluation

LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations

oimiragieo
oimiragieo
416

agent-tool-design

The Agent Tool Contract — 5 principles for designing tools agents call reliably: predictable signature, rich errors, token-efficient output, idempotency, graceful degradation. Includes anti-pattern table with 8 common mistakes.

oimiragieo
oimiragieo
416

agent-updater

Research-backed workflow to refresh existing agent prompts/frontmatter with diff-based risk scoring, TDD gates, and ecosystem validation.

oimiragieo
oimiragieo
416

ai-ml-expert

AI and ML expert covering PyTorch, TensorFlow, Hugging Face, scikit-learn, LLM integration, RAG pipelines, MLOps, and production ML systems

oimiragieo
oimiragieo
416

alphafold-database

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

oimiragieo
oimiragieo
416

android-expert

Comprehensive Android development expert covering Jetpack Compose, Kotlin coroutines/Flow, Architecture Components, Hilt DI, Navigation, testing, performance, Material Design 3, and modern Android patterns (MVI, Clean Architecture).

oimiragieo
oimiragieo
416

angular-expert

Angular framework expert including components, services, RxJS, templates, and testing

oimiragieo
oimiragieo
416

anndata

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

oimiragieo
oimiragieo
416

api-development-expert

API development expert including REST design, OpenAPI, and documentation

oimiragieo
oimiragieo
416

api-testing

API security testing and validation for REST/GraphQL/gRPC endpoints, contract testing, load testing, fuzzing, and Postman/Bruno/Hurl workflows

oimiragieo
oimiragieo
416

arboreto

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

oimiragieo
oimiragieo
416

architecture-review

Architecture review and design validation. Evaluates system designs against best practices, identifies anti-patterns, and ensures architectural decisions align with non-functional requirements.

oimiragieo
oimiragieo
416

artifact-integrator

Deep integration analysis for newly created artifacts

oimiragieo
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416

artifact-lifecycle

Unified lifecycle management for all framework artifacts (skills, agents, hooks, workflows, templates, schemas)

oimiragieo
oimiragieo
416

arxiv-mcp

Search and retrieve academic papers from arXiv.org using WebFetch and Exa. No MCP server required - uses existing tools to access arXiv API directly.

oimiragieo
oimiragieo
416

arxiv-monitor

Scheduled ArXiv paper monitor. Uses CronCreate to search configured keywords every 6 hours, deduplicates via MemoryRecord, and stores summaries in named memory for morning briefing integration.

oimiragieo
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416

ask-questions-if-underspecified

Ask the minimum clarifying questions before implementation when requirements are ambiguous or missing crucial details

oimiragieo
oimiragieo
416

assimilate

Benchmark external agent frameworks, auto-detect source type, scan for prompt injection, and convert findings into a concrete TDD upgrade backlog for agent-studio evolution.

oimiragieo
oimiragieo
416

astro-expert

Astro framework expert including components, content collections, and integrations

oimiragieo
oimiragieo
416

astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

oimiragieo
oimiragieo
416

async-operations

Specifies the preferred syntax for asynchronous operations using async/await and onMount for component initialization. This results in cleaner and more readable asynchronous code.

oimiragieo
oimiragieo
416

atlassian-integration

Atlassian ecosystem integration covering Jira project management, Confluence documentation, Bitbucket source control, and cross-product automation workflows

oimiragieo
oimiragieo
416

audit-context-building

Ultra-granular code analysis for deep architectural context building. Line-by-line and block-by-block analysis using First Principles, 5 Whys, 5 Hows methodology at micro scale. Builds mental models, tracks invariants and assumptions, and maps cross-function call flows for security audit preparation.

oimiragieo
oimiragieo
416

authentication-flow-rules

OAuth 2.1 compliant authentication flows (MANDATORY Q2 2026). PKCE required for ALL clients, Implicit Flow removed, modern token security.

oimiragieo
oimiragieo
416

auth-security-expert

OAuth 2.1, JWT (RFC 8725), encryption, and authentication security expert. Enforces 2026 security standards.

oimiragieo
oimiragieo
416

auto-recall

Use when you need semantic retrieval from perpetual memory at query time. Parses query intent, searches vector store, ranks by relevance and recency, and injects context. Complements memory-search.cjs with the perpetual_memory LanceDB table.

oimiragieo
oimiragieo
416

aws-cloud-ops

AWS cloud operations for CloudWatch, S3, Lambda, EC2, and IAM

oimiragieo
oimiragieo
416

azure-devops

Azure DevOps integration covering pipelines, boards, repos, artifacts, and work item management via Azure CLI and REST API

oimiragieo
oimiragieo
416

behavioral-loop-detection

Detect when agents are stuck in repetitive action loops using a rolling 20-action window with escalating nudges — replan after 3 similar actions, explore after 5, force-done after 8.

oimiragieo
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416

benchling-integration

Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.

oimiragieo
oimiragieo
416

best-practices-guidelines

Specifies best practices, including following RESTful API design principles, implementing responsive design, using Zod for data validation, and regularly updating dependencies. This skill promotes modern coding standards and helps developers write consistent, maintainable code.

oimiragieo
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416

binary-analysis-patterns

Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.

oimiragieo
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416

biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.

oimiragieo
oimiragieo
416

biorxiv-database

Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.

oimiragieo
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416

bioservices

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

oimiragieo
oimiragieo
416

brainstorming

Socratic design refinement before implementation — challenges assumptions, surfaces alternatives, identifies risks before code is written

oimiragieo
oimiragieo
416

brand-compliance

Audit content and assets for brand compliance — style guide validation, tone of voice checking, visual identity consistency, brand asset management, and cross-channel coherence.

oimiragieo
oimiragieo
416

brenda-database

Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.

oimiragieo
oimiragieo
416

browser-automation

Programmatic web automation using Playwright Python — data extraction, form filling, multi-step workflows, auth session management, screenshot/PDF capture, and anti-detection patterns. Use for scripted automation tasks, not interactive MCP-based browser control.

oimiragieo
oimiragieo
416

building-secure-contracts

Smart contract and secure API contract security analysis — invariant checking, access control, reentrancy, and integer overflow patterns. Implements Checks-Effects-Interactions pattern, formal invariant verification, and OpenSCV vulnerability taxonomy for Solidity/EVM and Rust/Solana contracts.

oimiragieo
oimiragieo
416

build-tools-expert

Build tools expert including Vite, Webpack, and bundler configuration

oimiragieo
oimiragieo
416

cellxgene-census

Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.

oimiragieo
oimiragieo
416

channel-management

Manage Claude Code --channels sessions (start/stop/status/health) via channel-manager.cjs and terminal-tracker.cjs.

oimiragieo
oimiragieo
416

checklist-generator

Generate context-aware quality checklists for code review and QA using IEEE 1028 base standards plus LLM contextual additions

oimiragieo
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416

chembl-database

Query ChEMBL bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors, perform SAR studies, for medicinal chemistry.

oimiragieo
oimiragieo
416

chrome-browser

Browser automation with two integrations - Chrome DevTools MCP (always available, performance tracing) and Claude-in-Chrome extension (authenticated sessions, GIF recording). Use DevTools for testing/debugging, Claude-in-Chrome for authenticated workflows.

oimiragieo
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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.