mcpField

Skills

97,501 packaged capabilities and playbooks for agents. Install any of them with one command.

Agent workflows

A
ask-nova
ask-nova
ohyeh / agent-scripts

Interview-driven flow picker. Use when the user is unsure which skill/flow/pipeline fits—new project kickoff, cross-domain work, or a fuzzy situation. Reads the three routers live and recommends ONE flow. Not for tasks whose owner is already obvious.

Agent workflows198
A
atomic-tasks
atomic-tasks
thebeardedbearsas / claude-craft

Pattern GSD (Get Shit Done) - découper en tâches atomiques avec contextes subagent frais pour combattre le context rot. Use when planning complex work or working past 50% context usage.

Agent workflows198
A
audit-choices
audit-choices
dzhng / skills

Audit the choices an implementing agent made, not its diff — a pure decision audit that traces the session's history into a choices ledger, changes no code, and never blocks an unsupervised run. Working code still embeds architecture the user never chose; surface it because future work inherits it. Use when the user wants to review the decisions the AI made on their behalf, before merging or committing AI-implemented work, when integrating a delegated subagent's pass, or when a fix "works" but might be a point fix.

Development198
A
automatic-stateful-prompt-improver
automatic-stateful-prompt-improver
curiositech / some_claude_skills

Automatically intercepts and optimizes prompts using the prompt-learning MCP server. Learns from performance over time via embedding-indexed history. Uses APE, OPRO, DSPy patterns. Activate

Agent workflows198
B
BMad Master
BMad Master
aj-geddes / claude-code-bmad-skills

Core BMAD Method orchestrator and workflow manager

Agent workflows198
C
cco-clean
cco-clean
egorfedorov / claude-context-optimizer

Clean up old tracking data and reset statistics

Agent workflows198
C
create-plans
create-plans
glittercowboy / taches-cc-resources

Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.

Agent workflows198
D
do-tickets

Use when you (an agent in a sesh thread) need to handle assigned work tickets — find your tickets, read a ticket's prompt/instructions, or update its status (e.g. mark it done). Covers the `sesh ticket` find → read → report loop.

Agent workflows198
E
expert-panel
expert-panel
ericosiu / ai-marketing-skills

Score, evaluate, and iteratively improve any content or strategy using an auto-assembled panel of domain experts. Handles copy, sequences, landing pages, strategy docs, titles, charts, recruiting evaluations, or anything else that needs a quality gate. Recursively iterates until all scores hit 90+ (max 3 rounds). Use when asked to: "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "which version is better", "expert score", "evaluate this copy/strategy/page", or when another skill needs a quality gate on its output. Also triggers on: "score this landing page", "expert panel these email variants", "rate this headline", "panel these charts".

Agent workflows198
I
inbox
inbox
aibtcdev / skills

x402-gated agent inbox — send paid messages to any agent's inbox, read received messages, and check inbox status. Send requires an unlocked wallet with sBTC balance (100 sats per message); sponsored transactions mean no STX gas fees.

Agent workflows198
P
pomasa
pomasa
extremeprogramming-cn / pomasa

Generate declarative multi-agent systems (MAS) using POMASA pattern language. Use when building agent pipelines, orchestrating multiple AI agents, or creating research automation workflows. Supports patterns like Prompt-Defined Agent, Orchestrated Pipeline, Filesystem Data Bus, and Verifiable Data Lineage

Agent workflows198
R
rag-pipeline
rag-pipeline
brightdata / skills

Build a RAG (retrieval-augmented generation) pipeline or a custom search engine on top of Bright Data's Discover API, using intent-ranked web results and parsed page content as the retrieval/ingestion layer for an LLM or vector store. Use when the user wants to “build a RAG pipeline,” “add web search to my LLM/agent,” “ground my model in live web data,” “build a search engine over the web,” “ingest web content into a vector DB / knowledge base,” or “give my chatbot retrieval.” Covers both live retrieval (Discover at query time as a web-grounded retriever) and ingestion (Discover → chunk → embed → vector store → retrieve). Built on the `discover-api` skill. For a one-off written report use `live-research`; for raw markdown of specific known URLs use `scrape`.

Development198
S
skill-coach
skill-coach
curiositech / some_claude_skills

Guides the creation of high-quality Agent Skills with domain expertise, anti-pattern detection, and progressive disclosure best practices. Activate on keywords: create skill, review skill, skill

Agent workflows198
S
socratic-brainstorm
socratic-brainstorm
thebeardedbearsas / claude-craft

Socratic brainstorming before coding: clarify the problem with targeted questions rather than jumping to a solution. Use when requirements are ambiguous or before starting a non-trivial feature.

Development198
T
trace-grader
trace-grader
rheinmir / setup

Score the PATH an agent took (tool choice, ordering, retries, repeatability, grounding) — not just its final answer — to catch "corrupt success" (right answer via a bad/unsafe path) and flakiness. Deterministic trace schema + pass^k repeatability + config-driven rule checks (forbidden tool, out-of-order, retry-storm, excessive steps, edited-without-read grounding). Parses canonical traces.json, hooklib.audit / code-logger events.jsonl, OR a full Claude Code session transcript (--transcript, richest source: recovers retrieval args + observation + per- step ok). Trigger when the user says "grade the trajectory", "score the path not the answer", "did it cheat / take a bad path", "did it look before it acted / grounding", "corrupt success", "is this flaky / does it repeat", "pass^k", "grade a session transcript", "trace grader", or invokes /trace-grader.

Testing & quality198
W
writing-plans

Use when you have a spec or requirements for a multi-step task, before touching code

Agent workflows198
8
801-regulations-eu-ai-act
801-regulations-eu-ai-act
jabrena / plinth

Use when reviewing, designing, or modifying Java enterprise systems that use AI, LLMs, AI agents, RAG, tool calling, workflow automation, or model-based decision support and need EU AI Act regulatory awareness. This should trigger for requests such as Review a Java AI system for EU AI Act controls; Design governance for an AI agent with enterprise tools; Add human oversight and auditability to LLM workflows; Assess RAG or model-driven decision support before production release. Part of Plinth Toolkit

Security197
A
ai-engineer
ai-engineer
curiositech / some_claude_skills

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use proactively

Development197
A
autoplan
autoplan
prathamdby / skills

autoplan to produce a grounded implementation plan without questions; gated design uses upfront-design.

Development197
B
behavioral-modes
behavioral-modes
vudovn / ag-kit

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

Agent workflows197
B
book-to-skill
book-to-skill
huntsyea / thinking-skills

Converts .txt book files into leverageable Claude Code skills. Use when transforming books, articles, or written expertise into structured skills with frameworks, workflows, and reference material.

Agent workflows197
B
bro-think-with-me
bro-think-with-me
irpsv / ai-bro

Помогает совместно прояснить задачу, проверить идею, найти корневую причину проблемы или выбрать подход без реализации. Используй, когда пользователь просит обсудить задачу, разобраться в проблеме, сравнить варианты или задаёт вопросы «что думаешь?» и «как лучше сделать?». Не используй, когда пользователь явно просит составить план, реализовать задачу, проверить изменения кода или сохранить знания проекта.

Agent workflows197
D
deep-interview
deep-interview
yeachan-heo / oh-my-codex

Socratic deep interview with mathematical ambiguity gating before execution

Agent workflows197
E
ecosystem-tools
ecosystem-tools
thebeardedbearsas / claude-craft

Third-party Claude Code token/context/code-review tools. Use when choosing or recommending an external tool to reduce token usage, manage context, or review large codebases (caveman, code-review-graph, token-savior, context-mode...).

Agent workflows197
F
find-skills
find-skills
nkchivas / openclaw-skill-find-skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

Agent workflows197
G
global-projects

Load this skill when you are required to check source code outside of this codebase, or users give you a GitHub repo spec follows <owner-name>/<repo-name> spec. Use it when the current directory is not the target project, when another local project is needed, or when multiple projects are involved.

Agent workflows197
G
godot-agent-vision
godot-agent-vision
thedivergentai / game-design-agentic-skills

Agentic eyes for Godot work: cross-platform screenshot CLI (asset/region/window/screen) to budgeted WebP, TEMP editor viewport bridge under .gdskills/, and Taste Receptor Atlas v2 (~237 micro-receptors × 0–2: hierarchy, contrast, typography×41, affordance, space, color, icon, composition, light/FX, motion-tells, anti-slop, originality, identity). Use when agents must see UI, assets, or the editor — not for in-game screenshot Autoloads. Keywords: agent vision, screenshot, WebP, visual QA, taste receptors, typography, UI review, asset sheet, editor viewport, anti-slop

Agent workflows197
H
hhzz-shared

Shared execution rules for hhzz-cli: handles configuration, authentication, command discovery, permissions, write confirmation, result verification, unified business results, and error handling. Must be read before using any Heihu Zhizao business Skill. Does not replace specific business Skills or the CLI contract.

Agent workflows197
S
setup-pstack
setup-pstack
mdsmithaustin / pstack

Check installed pstack personas, optionally register native agents, configure which models pstack uses per role and at what reasoning budget, and set up a repository PR template. Use for /setup-pstack, "configure pstack models", "pstack budget", "set up pstack PR templates", or changing pstack's model choices.

Agent workflows197
S
skill-development
skill-development
aiskillstore / marketplace

Use this skill when the user wants to “create a skill,” “add a skill to a plugin,” “write a new skill,” “improve a skill description,” or “organize skill content,” or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.

Agent workflows197
U
user-profile-keeper
user-profile-keeper
dongshuyan / compass-skills

Local user-profile maintenance skill for Codex, Claude Code, OpenClaw, OpenCode, and other agent harnesses. Use only when the user explicitly invokes $user-profile-keeper to create, initialize, update, query, correct, delete, export, or audit a local persistent user profile. It can extract durable collaboration preferences, requirement-expression habits, capability boundaries, recurring omissions, risk preferences, privacy boundaries, and typical events from the current session into auditable, confirmable, retractable local profile data. Do not auto-invoke, upload profile data, or replace task-clarifier's normal clarification flow

Agent workflows197
V
vibe-to-agentic-framework
vibe-to-agentic-framework
shanraisshan / claude-code-best-practice

The conceptual framework behind the presentation — what "Vibe Coding to Agentic Engineering" means, why the journey is structured the way it is, and how every slide fits the narrative arc

Agent workflows197
W
write-report
write-report
fellowship-dev / dogfooded-skills

Use when writing a mission report to the gateway DB from any operator mission

Agent workflows197
W
writing-skills
writing-skills
posthog / posthog

Guide for writing PostHog agent skills — job-to-be-done templates that teach agents how to use MCP tools to achieve a goal. Use when adding new product functionality that agents should know how to work with, creating a new skill, or updating existing skills in products/*/skills/ or .agents/skills/.

Agent workflows197
A
al
al
paleo / alignfirst

Execute the AlignFirst AAD protocol

Agent workflows196
A
alicloud-platform-openclaw-setup
alicloud-platform-openclaw-setup
cinience / alicloud-skills

Install and configure OpenClaw with DingTalk, Feishu, Discord, and additional channels with Bailian/DashScope models on Linux hosts. Use when provisioning a new OpenClaw node, troubleshooting gateway/channel startup, standardizing openclaw.json mapping, or automatically discovering extra channels from https://docs.openclaw.ai/channels.

Cloud & DevOps196
B
brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

Agent workflows196
B
browser-use
browser-use
steipete / agent-scripts

Control the user's existing signed-in Chrome: callable Codex Chrome plugin first, then OpenClaw extension-backed mcporter, with direct DevTools attachment only as a last fallback.

Agent workflows196
C
cco-digest
cco-digest
egorfedorov / claude-context-optimizer

Show weekly/daily efficiency digest with score and trends

Agent workflows196
C
ce:work-beta
ce:work-beta
everyinc / compound-engineering-plugin

[BETA] Execute work with external delegate support. Same as ce:work but includes experimental Codex delegation mode for token-conserving code implementation

Development196
C
codeck
codeck
hiyeshu / codeck

codeck entry point. Scans local files for materials, shows pipeline dashboard with diagnostic intelligence, guides user to the next step. Use when the user says "codeck", "new deck", "make a presentation", "make a deck", "new slides", "build a presentation", "export", "speech", "script", or wants to start or continue a presentation project. /codeck is the user-facing entry; legacy sub-skills are internal modules.

Documents196
C
composio-mcp
composio-mcp
lunchpaillola / pipa-skills

Use the Composio MCP with Pipa to discover and operate external app tools safely.

Productivity196
C
context-engineering
context-engineering
siviter-xyz / dot-agent

Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques, compression strategies, memory architectures, multi-agent patterns, evaluation, tool design, and project development.

Agent workflows196
D
daily-report
daily-report
fellowship-dev / dogfooded-skills

Use when writing the daily/rollcall team report — defines 5 sections, quality rules, and a minimal idle card

Agent workflows196
E
eli5
eli5
nathanksou / eli5

Explain Like I'm 5 mode. Simplifies explanations with a patient, friendly parent voice while still compressing output tokens. Three levels: easy (full analogies, beginner), chill (plain language, default), quick (minimal, advanced). Use when user says "eli5", "explain like I'm 5", "simple mode", or invokes /eli5. Also triggers on explicit requests like "explain simply" or "make it simpler".

Agent workflows196
M
mcp-builder
mcp-builder
aiskillstore / marketplace

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Development196
P
pipa-manage
pipa-manage
lunchpaillola / pipa-skills

Use when the user wants to manage Pipa configuration across profile setup, connectors, company brain or memory, permissions, automations, triggers, loops, or access audits. Route profile setup to pipa-setup and connector setup/status to pipa-connectors. Do not use for business work or an action in an already-connected app.

Agent workflows196
P
publish
publish
harbor-framework / harbor

Publish a Harbor task or dataset to the registry. Use when the user wants to upload, publish, or share tasks or datasets/benchmarks on the Harbor registry.

Testing & quality196
V
vercel-ai-sdk
vercel-ai-sdk
op0ai / claude-skills

Guide for Vercel AI SDK v6 implementation patterns including generateText, streamText, ToolLoopAgent, structured output with Output helpers, useChat hook, tool calling, embeddings, middleware, and MCP integration. Use when implementing AI chat interfaces, streaming responses, agentic applications, tool/function calling, text embeddings, workflow patterns, or working with convertToModelMessages and toUIMessageStreamResponse. Activates for AI SDK integration, useChat hook usage, message streaming, agent development, or tool calling tasks.

Development196
W
windows-path-troubleshooting
windows-path-troubleshooting
josiahsiegel / claude-plugin-marketplace

Complete Windows file path troubleshooting knowledge for Claude Code on Git Bash and Windows environments. PROACTIVELY activate for: (1) file path errors on Windows, (2) backslash vs forward slash issues, (3) Edit/Write/Read tool failures, (4) MINGW path resolution, (5) cross-platform path conversion, (6) MSYS_NO_PATHCONV usage, (7) double-slash escape patterns (//c/foo), (8) UNC and long path limits, (9) WSL vs native Windows interop. Provides: path-conversion rules, troubleshooting flowchart, MSYS env-var recipes, double-slash escape patterns, and Windows file-operation best practices.

Development196
A
agent-tracing
agent-tracing
lobehub / lobehub

Use for agent traces by operation ID (pull production tracing): failed tools, arguments/results, available tools, execution location, LLM calls and context

Agent workflows195
C
cco-git
cco-git
egorfedorov / claude-context-optimizer

Show git-aware context suggestions for current working directory

Agent workflows195
E
expectations
expectations
citypaul / .dotfiles

Decide where a learning, gotcha, or decision should live so it is not lost, and capture it there while context is fresh. Use when the user says they just discovered, learned, or found out something non-obvious, asks where a fact should be recorded, written down, or go, wants a setup gotcha, workaround, or decision kept for the next person or the next agent session, or asks whether something belongs in CLAUDE.md, a README, an ADR, tests, a glossary, or a reusable skill. Routes each fact to its durable owner and decides whether it is reusable or project-local. For the prose of the document itself see technical-writing; for recording a domain term see ubiquitous-language.

Agent workflows195
G
gsd-quick-batch
gsd-quick-batch
open-gsd / gsd-core

Batch several `/gsd-quick`-shaped tasks together — planned, dispatched, and merged as one run

Agent workflows195
M
mindos
mindos
geminilight / mindos

MindOS: local knowledge assistant and shared KB. Keeps decisions, notes, SOPs, debugging lessons, research findings, and preferences across sessions and agents. Core features: save notes, search KB, organize files, run workflows, review, append CSV, hand off context, and distill lessons. NOT for app source or paths outside KB. Triggers: save/record, search notes, update files, organize, run workflow, capture decisions, append CSV, hand off context, check past discussions, distill lessons. Proactive: (1) search first for stored context, (2) offer to save after valuable work, (3) suggest persisting key decisions.

Productivity195
P
pipefy-skill-template
pipefy-skill-template
pipefy / ai-toolkit

Copy this file when authoring a new Pipefy skill. Replace placeholders, then rename the folder so it matches the frontmatter name.

Agent workflows195
S
skill-architect
skill-architect
curiositech / some_claude_skills

Design, create, audit, and improve Claude Agent Skills with expert-level progressive disclosure. Use when building new skills, reviewing existing skills, debugging activation failures, encoding

Agent workflows195
S
solo-founder-gtm
solo-founder-gtm
chadboyda / agent-gtm-skills

Use when a solo founder is building their GTM motion, wants to scale without hiring, or needs to design an AI agent team for go-to-market. Also use when the user mentions “solo founder,” “one-person startup,” “solopreneur,” “bootstrapped,” “no team,” “AI agents as team,” “scaling without hiring,” “founder-led sales,” “lean GTM,” “one-person company,” or “no employees.” This skill covers the complete solo founder GTM playbook, from stack selection through agent team design, revenue-stage transitions, time allocation, and when to finally hire.

Marketing & growth195
U
using-godot-prompter
using-godot-prompter
jame581 / godotprompter

Bootstrap skill — establishes how to find and use GodotPrompter skills, with platform-specific tool mapping

Agent workflows195
W
wrap-up
wrap-up
rohitg00 / pro-workflow

End-of-session ritual that audits changes, runs quality checks, captures learnings, and produces a session summary. Use when saying "wrap up", "done for the day", "finish coding", or ending a coding session.

Agent workflows195
4621–4680 of 13,313

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.