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.
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Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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dizziness-red-flag-screener
by dromlakhaniScreens any dizzy patient for features that mandate urgent neuroimaging or neurology referral — distinguishing benign peripheral dizziness from a central or life-threatening cause. Use when a patient presents with dizziness and you want to quickly rule out stroke, cerebellar lesion, or other dangerous aetiology before attributing symptoms to a benign cause. Trigger phrases: "could this dizziness be serious", "rule out stroke in dizzy patient", "when to image a dizzy patient", "red flags in dizziness", "urgent referral for dizziness".
wegovy-pediatric-eligibility
by dromlakhaniCheck whether an adolescent aged 12 to under 18 years qualifies for Wegovy (semaglutide 2.4 mg) using BMI age-sex 95th-percentile cutoff, weight above 60 kg threshold, and secondary-obesity exclusion. Use when a clinician asks "is my teenager eligible for Wegovy", "Wegovy in adolescents", "pediatric semaglutide 2.4 mg indication", or needs to screen a 12 to 17 year-old with obesity before initiation. Grounded in the Wegovy Canadian Product Monograph (Novo Nordisk, March 2024).
pediatric-obesity-etiology-screener
by dromlakhaniScreen a child with obesity for red flags suggesting monogenic, syndromic, or secondary endocrine causes — distinguishing atypical from typical exogenous obesity. Trigger when a clinician asks whether obesity could be genetic or hormonal, suspects Prader-Willi syndrome, Cushing disease, hypothyroidism, ROHHAD, Bardet-Biedl syndrome, leptin deficiency, or craniopharyngioma, or when a child has early-onset severe obesity, short stature with obesity, hyperphagia, hypotonia, dysmorphic features, or developmental delay with weight gain.
pediatric-obesity-consultation
by dromlakhaniGuide a non-stigmatising pediatric obesity consultation using the 5As framework (Ask, Assess, Advise, Agree, Assist) and 4Ms assessment (Metabolic, Mechanical, Mental Health, Social Milieu), based on the CMAJ 2025 guideline. Trigger when a clinician asks how to approach a weight conversation with a child or family, how to use the 5As for obesity, how to assess a child with obesity, or how to conduct a non-judgmental obesity visit.
pediatric-obesity-intervention-selector
by dromlakhaniSelect the right treatment tier for a child with obesity — behavioural, pharmacologic, or surgical — using the CMAJ 2025 pediatric obesity guideline. Trigger when a clinician asks what to do for a child with obesity, which intervention to start, whether to escalate treatment, or when to consider medication or surgery for pediatric obesity.
pediatric-obesity-pharmacotherapy-selector
by dromlakhaniSelect the right pharmacologic agent for a child aged 12+ with obesity using the CMAJ 2025 guideline — choosing between GLP-1 receptor agonists, metformin, or orlistat with monitoring guidance. Trigger when a clinician asks which medication to use for pediatric obesity, whether to start semaglutide or metformin in a child, or how to manage obesity pharmacologically in adolescents.
pediatric-obesity-surgical-screener
by dromlakhaniScreen a child aged 13+ with obesity for eligibility for bariatric surgery (laparoscopic sleeve gastrectomy or Roux-en-Y gastric bypass) using the CMAJ 2025 guideline. Trigger when a clinician asks whether a child qualifies for weight loss surgery, bariatric surgery in adolescents, sleeve gastrectomy in a teenager, or when to refer for surgical management of pediatric obesity.
mirago-prescribing-guide
by dromlakhaniComplete bedside prescribing reference for Mirago (mirabegron, beta-3 adrenoceptor agonist) for overactive bladder — covering contraindications, safety screening, drug interactions, dose selection in special populations, titration, and administration. Use when a clinician asks how to start mirabegron, what dose to use in renal or hepatic impairment, is mirabegron safe in this patient, mirabegron drug interactions, or Mirago for OAB.
glp1-obesity-agent-nv-profile
by dromlakhaniLook up drug-specific nausea and vomiting rates across the full generation of GLP-1-based obesity agents — semaglutide 2.4 mg, semaglutide 7.2 mg, CagriSema, tirzepatide, retatrutide, survodutide, oral semaglutide 25/50 mg, and orforglipron — to counsel patients before initiation or to decide which agent to switch to when tolerability is the deciding factor. Use when a clinician asks "how much nausea should I expect on Wegovy vs Zepbound", "retatrutide vs semaglutide tolerability", "CagriSema side effect profile", "orforglipron vs oral semaglutide", or when a patient needs pre-initiation counselling numbers for a specific obesity GLP-1-based agent. Grounded in Alhazmi & le Roux 2026 (Front Endocrinol) with the original pivotal trial sources.
gcih-correctional-insulin-selector
by dromlakhaniSelect the correct type and dose of "correctional insulin" to co-administer with a glucocorticoid in a hospitalised patient with glucocorticoid-induced hyperglycemia (GCIH). Trigger when a clinician asks "what insulin to give with steroids", "which insulin with prednisolone/dexamethasone/hydrocortisone/methylprednisolone", "how to dose NPH with steroids", "correctional insulin for GCIH", or any question about matching insulin to a glucocorticoid in an inpatient setting.
hypercalcemia-severity-classifier
by dromlakhaniClassify the severity of hypercalcemia at the bedside — mild, moderate, or severe — by combining the corrected/ionized calcium level with the acuity and symptom pattern, and decide whether the patient needs urgent therapy. Trigger when a clinician asks "is this hypercalcemia severe", "how bad is this calcium level", "when to admit for hypercalcemia", "is this hypercalcemic crisis", "how to grade hypercalcemia", or shares a calcium level and asks how worried to be.
dfi-severity-classifier
by dromlakhaniClassify the severity of a Diabetes-related Foot Infection (DFI) using the IWGDF/IDSA 2023 step-by-step framework. Use this skill whenever a clinician presents a diabetic foot case and wants to know if it's infected, how severe it is, whether osteomyelitis is present, and what to do next. Trigger on mentions of diabetic foot ulcer, DFI, DFU with signs of infection, foot wound in diabetes, or requests to "classify" or "grade" a foot infection.
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.