Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
Querying local SQLite index...
cropland-out-of-production-agreements
by reggiechan74Use when analyzing ongoing agricultural productivity impacts from transmission line, pipeline, or linear infrastructure right-of-way agreements, running three-model NPV comparisons (Ontario one-time vs Alberta SRB annual vs Farmer Required actual costs), quantifying operational inefficiencies (headlands loss, precision ag interference, aerial spray restrictions, weed control), or advocating for annual cropland compensation based on OFA guidance.
objection-handling-expert
by reggiechan74Use when a tenant or broker objects that rent is above market, requests higher TI or more free rent, pushes back on a security deposit or personal guarantee, cites competitive properties, demands shorter term or early termination rights, or any time you need to separate legitimate concerns from tactical objections and craft evidence-based responses.
transmission-line-technical-specifications
by reggiechan74Use when defining transmission easement widths by voltage (69kV-500kV), calculating NESC conductor clearances and sag, optimizing tower placement for span limits and topography, documenting land use restrictions (building prohibitions, height limits, excavation), or coordinating environmental and regulatory approvals (wetlands, species at risk, archaeological, conservation authorities).
tenant-credit-analyst
by reggiechan74Use when assessing a prospective tenant's creditworthiness from financial statements, computing DSCR/current ratio/debt-to-equity, estimating default probability, recommending security structures (deposit, LC, personal guarantee), or sizing financial covenants for a lease.
severance-damages-quantification
by reggiechan74Use when valuing the remainder after a partial taking — quantifying frontage loss by road class ($/linear foot), circuitous-access capitalization, landlocked-parcel easement cost-to-cure, shape-efficiency-driven development yield loss, or farm operation disruption (fencing, equipment crossings, irrigation severance). Before/after method with cost-to-cure vs. value-loss reconciliation.
comparable-sales-adjustment-methodology
by reggiechan74Use when constructing comparable sales adjustment grids, quantifying adjustments via paired sales or hedonic regression, validating gross/net adjustment limits, or reconciling adjusted sale prices. Triggers on sales comparison appraisals, sales grid construction, market-extracted adjustments. Key terms: adjustment hierarchy, paired sales, hedonic regression, gross/net adjustment limits, sensitivity analysis.
cost-approach-expert
by reggiechan74Use when valuing transmission towers, telecom sites, substations, or specialized infrastructure where market comparables are unavailable or incomplete. Apply replacement cost new (RCN) less depreciation, or reconcile cost approach with limited market data. Key terms: RCN, physical/functional/external depreciation, indirect costs, age-life method, depreciated replacement cost.
easement-valuation-methods
by reggiechan74Use when valuing utility transmission easements, pipeline corridors, rail/transit corridors, access easements, telecom sites, or temporary construction easements. Apply percentage of fee method, income capitalization, before/after paired sales, or rate-of-return for TCEs. Key terms: percentage of fee, income capitalization, paired sales, discount rate, agricultural rent, TCE.
environmental-due-diligence-expert
by reggiechan74Use when reviewing Phase I/II ESA reports, evaluating contaminated site acquisitions, estimating remediation costs, analyzing MOE regulatory pathways (Tier 1/Tier 2, RSC filing), or allocating environmental liability between buyer and seller. Triggers on RECs, soil/groundwater exceedances, brownfield redevelopment, and contamination-driven price adjustments.
income-approach-expert
by reggiechan74Use when valuing telecom ground leases, agricultural rental land, fee interests under ground leases, or perpetual easement income streams. Capitalize land rent to derive value via market rent analysis and cap rate selection (extraction, band of investment, build-up). Key terms: NOI, cap rate, market rent, ground lease, reversion value, sensitivity analysis.
title-expert
by reggiechan74Use when reviewing title search reports, parsing registered easements/covenants/liens/environmental charges, assessing marketability defects, or quantifying encumbrance discounts during acquisition due diligence. Triggers on Ontario Land Titles searches, restrictive covenant analysis, registration defect detection, and cumulative encumbrance discount calculations.
negotiation-expert
by reggiechan74Use when crafting responses to tenant objections, defending rent or lease terms, structuring counter-offers, formulating calibrated questions, breaking deadlocks, or applying evidence-based anchoring and tactical empathy to commercial lease negotiations.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.