381,784 Collected SKILL.md files

Explore AI Agent Skills & Claude Prompts

Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.

search
expand_more
Active:
Power-Agent
Showing 12 of 20 skills
Power-Agent

contingency-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for contingency violations. Use whenever N-1 or N-2 studies reveal voltage or thermal problems, binding contingencies, or post-outage islanding — including escalations from a tool skill's contingency run. Triggers on "N-1 violation", "worst contingency", "preventive vs corrective action", or "do we need a RAS". Moves from ranking contingencies to identifying preventive and corrective actions that cover a family of outages.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

dynamic-stability-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for dynamic stability problems. Use whenever eigenvalue or time-domain studies show poor damping, transient angle instability, weak voltage recovery, or sustained oscillations in tools such as ANDES or PSS/E — including escalations from a tool skill's dynamic run. Triggers on "low damping", "unstable after the fault", "tune the PSS", or "voltage recovery too slow". Gives an ordered fix sequence across dispatch, controls, protection, and special schemes.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

frequency-response-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for frequency-performance problems. Use whenever studies or operations show low system inertia, poor frequency nadir, high RoCoF, weak primary frequency response, UFLS encroachment, or reserve shortfall after loss of the largest unit or HVDC import. Triggers on "frequency nadir", "RoCoF too high", "inertia too low", "UFLS risk", "primary frequency response", or "loss of largest unit". Distinct from dynamic-stability-mitigation, which handles damping and angle stability rather than frequency containment.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

interconnection-impact-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for screening and mitigating the grid impact of a new generator, storage, or large-load interconnection. Use whenever the question is whether X MW can connect at a point of interconnection and what upgrades it needs. Triggers on "interconnection study", "system impact study", "POI", "can we connect this plant at bus Y", "short-circuit ratio", or "weak grid". Walks from steady-state screens through weak-grid and reactive checks to the binding constraint and its mitigation set.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

operations-planning-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for planning and operations optimization problems. Use whenever Egret or PyPSA studies are infeasible, reserve-deficient, congested, too expensive, or heavily curtailed — including escalations from a tool skill's OPF, unit-commitment, or expansion run. Triggers on "OPF infeasible", "not enough reserve", "too much curtailment", or "why is this so expensive". Gives corrective actions — data fixes, simpler screening solves, flexibility, congestion relief — rather than only reporting optimization output.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

short-circuit-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for excessive fault current and breaker over-duty. Use whenever a short-circuit study shows fault duty above interrupting ratings, or a new interconnection raises fault levels near equipment limits. Triggers on "fault duty", "breaker over-duty", "short-circuit current too high", "interrupting rating exceeded", or "fault MVA at this bus". Gives an ordered sequence from study verification through operational fixes to equipment upgrades.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

thermal-overload-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for overloaded lines and transformers. Use whenever power-flow or contingency studies show loading above ratings — including escalations from a tool skill where branch loading exceeds 100% of its rating. Triggers on "line overloaded", "transformer above rating", "relieve congestion", or "redispatch to unload". Gives an operationally credible sequence of redispatch, topology, phase-shifter, and reinforcement actions rather than only flagging the overload.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

voltage-violation-mitigation

by Power-Agent
star 45

Senior power-engineer playbook for voltage violations. Use whenever a base-case or contingency study shows low voltage, high voltage, weak reactive support, or tap exhaustion — including escalations from a tool skill where bus voltage falls below 0.95 pu or rises above 1.05 pu in PowerWorld, PSS/E, PSLF, OpenDSS, pandapower, PyPSA, or surge. Triggers on "voltage too low", "voltage too high", "add reactive support", or "buses out of limits". Moves past reporting into an ordered, validated mitigation sequence.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

egret

by Power-Agent
star 45

Progressive-disclosure workflow for Egret market and operations optimization. Use whenever the user wants to run DC-OPF, AC-OPF, or unit commitment through PowerMCP — even when they just say "what's the cheapest dispatch", "commit the units", "check for congestion", or "is this schedule feasible". Exposes the simplest credible optimization (DC-OPF) before escalating to AC-OPF or full unit commitment. Reach for this instead of answering Egret optimization questions unaided.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

ltspice

by Power-Agent
star 45

Progressive-disclosure workflow for LTSpice / PyLTSpice circuit simulation. Use whenever the user wants to create a netlist, run a SPICE transient or AC simulation, inspect traces, or debug LTSpice convergence through PowerMCP — even when they just say "simulate this circuit", "why won't this converge", or "plot the output". Exposes session creation and batch simulation before plotting or GUI steps. Reach for this instead of answering LTSpice questions unaided.

navigation main article SKILL.md
schedule Updated 15 days ago
Power-Agent

contingency-mitigation

by Power-Agent
star 31

Senior power-engineer playbook for contingency violations. Use when N-1 or N-2 studies reveal voltage or thermal problems and the agent needs to move from ranking contingencies to identifying preventive or corrective actions.

navigation main article SKILL.md
schedule Updated 3 months ago
Power-Agent

dynamic-stability-mitigation

by Power-Agent
star 31

Senior power-engineer playbook for dynamic stability problems. Use when eigenvalue or time-domain studies show poor damping, transient angle instability, weak voltage recovery, or related dynamic-performance issues in tools such as ANDES or PSSE.

navigation main article SKILL.md
schedule Updated 3 months ago
Page 1 of 2

Browse Agent Skills by Occupation

23 major groups · 867 SOC occupations

Browse by Category

Explore agent skills organized by their primary use case

SKILLMD / CREATORS AND OCCUPATION CATEGORIES

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.

SEO KNOWLEDGE HUB & TECHNICAL OVERVIEW

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.

8 QUESTIONS

Frequently Asked Questions

A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.