mcpField

Skills

97,222 packaged capabilities and playbooks for agents. Install any of them with one command.

Agent workflows

S
spec-execute
spec-execute
zixun-github / aisdlc

Use when you need to execute I2 (implementation execution) in the sdlc-dev Spec Pack: implement in batches with `{FEATURE_DIR}/implementation/plan.md` as the single SSOT, run minimal verification, write back audit information, and report at batch checkpoints; stop immediately on blockers or open questions.

Development58
S
spec-init
spec-init
oimiragieo / agent-studio

Unified skill that guides spec creation through structured, interactive process.

Development58
S
stitch-loop
stitch-loop
sickn33 / agentic-awesome-skills

Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern

Design & UI58
S
suvvy-mcp
suvvy-mcp
suvvyai / agent-skill

Use when managing the Suvvy bot platform — creating or configuring bots, knowledge bases (FAQ Documents, Vector Knowledge Base, Vector Documents), channels, custom tools, or writing and reviewing bot system prompts via the Suvvy MCP server.

Agent workflows58
T
t3-orchestrator
t3-orchestrator
gitbobobo / skills

T3 Code multi-harness orchestration: route.mjs selects the harness/model; delegate_task assigns and verifies tasks; automatically switches routes and resumes on rate limits, quota limits, or overload. Invoke only when explicitly named by the user or a skill.

Agent workflows58
T
task-splitting
task-splitting
jsonlee12138 / agent-team

Decompose requirement, design, or brainstorming documents into reviewable task drafts with one function per task and one file per task, then create `agent-team` task packages only after explicit approval. Use when turning a document into tasks, splitting oversized tasks, validating task boundaries, or preparing approved task files for `agent-team task create`.

Agent workflows58
T
td-task-management

Task management for AI agents across context windows. Use when agents need to track work, log progress, hand off state, and maintain context across sessions. Includes workflows for single-issue focus, multi-issue work sessions, and structured handoffs. Essential for AI-assisted development where context windows reset between sessions.

Agent workflows58
T
tiny-stepping
tiny-stepping
github / awesome-copilot

Incremental development workflow that makes the smallest meaningful change per step and pauses for feedback, so the direction gets validated early before continuing. Use for careful, iterative implementation with continuous validation.

Agent workflows58
T
to-spec
to-spec
hburaktasyurek / agent-skills-and-commands

Create or revise an implementation specification from a researched software task. Use to turn task-groundwork findings or equivalent sources into a selected in-scope design, explicit behavior, ordered work, and acceptance checks that an implementer can use without conversation history; also use to revise a spec after review.

Development58
T
to-spec
to-spec
ilteoood / harness

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

Development58
T
to-spec
to-spec
paololeonardi / mattpocock-skills

Turn the current conversation into a spec and publish it to the project issue tracker: no interview, just synthesis of what you've already discussed.

Development58
T
to-tickets
to-tickets
ilteoood / harness

Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket locally, or native blocking links on a real tracker).

Development58
T
tool-search
tool-search
oimiragieo / agent-studio

Semantic tool search with embeddings for scalable tool discovery. Enables on-demand tool loading to reduce context usage by 90%+ for large tool libraries.

Agent workflows58
T
triage
triage
paololeonardi / mattpocock-skills

Move issues and external PRs through a state machine of triage roles, categorise, verify, grill if needed, and write agent-ready briefs.

Development58
U
update-allowed-tools
update-allowed-tools
vinta / hal-9000

Use when creating or editing a skill that uses Bash commands, file writes, or external tools and the allowed-tools frontmatter may be incomplete or carry entries that grant nothing

Agent workflows58
V
verification-before-completion
verification-before-completion
ganyuanran / aegis

Use when about to claim work is complete, fixed, passing, verified, release-ready, or ready to commit, merge, publish, or hand off.

Testing & quality58
V
virtual-agent
virtual-agent
serac-labs / serac

Build ServiceNow Virtual Agent — sys_cs_topic conversations, topic blocks (text/prompt/script/decision/handoff), NLU utterances and custom entities, quick replies, and KB/incident integration scripts.

Agent workflows58
W
woostack-fix
woostack-fix
howarewoo / woostack

Use for bugs, regressions, hotfixes, and production signals. Prove the cause, obtain informed approval, and deliver a bounded one-PR fix directly; use project-backed planning for larger or materially uncertain work and explicit project/run context.

Development58
W
workflow-checkpoint-refactor
workflow-checkpoint-refactor
laurigates / claude-plugins

Multi-phase refactoring with checkpoint files that survive context limits. Use when refactoring spans 10+ files, needs phased rollout, or risks running out of context mid-session.

Development58
W
workflow-start
workflow-start
magebyte-zero / spec-superflow

Primary entry point for the spec-superflow state-machine workflow. Invoke only when the user explicitly requests spec-superflow or an active change contains .spec-superflow.yaml and the user asks to continue that change. Generic proposal, specs, design, task, or contract files are not activation signals.

Agent workflows58
W
working-with-scouts
working-with-scouts
posthog / skills

Work with PostHog Signals scouts: scheduled agents that monitor a project and write reports into the Signals inbox. Use to assign monitoring work, schedule quality scoring, find which scout covers a surface, act on reports, reduce noise, investigate missing findings, or improve the fleet through feedback and calibration. Also covers follow-up checks that verify whether a reported problem stays fixed. Use `authoring-scouts` for edits, `exploring-scouts` for run observability, and `inbox-exploration` for report triage. Trigger on "work with my scouts", "get more out of scouts", "have a scout watch X", "tell me if Y spikes", "score X on a schedule", "measure quality of Y", "what do I do with this scout report", "calibrate/review my scout fleet".

Agent workflows58
W
wrap-up
wrap-up
adeonir / agent-skills

End-of-session persistence of the session's work to Obsidian as a session note per project and the daily note. Use when closing a work session and recording what it changed. Not for mid-session checkpoints, conversation handoffs, standalone project or meeting notes, or repository-wide project context.

Productivity58
W
writing-for-agents-wx
writing-for-agents-wx
shyxin / skills

Use when writing documentation for agents: creating or editing a skill, modifying AGENTS.md or CLAUDE.md, or writing any rules/context document an agent will read. The focus is not producing consistent text, but making the agent follow the same process every time.

Agent workflows58
W
writing-skills
writing-skills
rsmdt / the-startup

Use when creating new skills, editing existing skills, auditing skill quality, converting skills to markdown conventions, or verifying skills before deployment. Triggers include skill authoring requests, skill review needs, or "the skill doesn't work" complaints.

Agent workflows58
X
xcode-build-orchestrator
xcode-build-orchestrator
midudev / autoskills

Orchestrate Xcode build optimization by benchmarking first, running the specialist analysis skills, prioritizing findings, requesting explicit approval, delegating approved fixes to xcode-build-fixer, and re-benchmarking after changes. Use when a developer wants an end-to-end build optimization workflow, asks to speed up Xcode builds, wants a full build audit, or needs a recommend-first optimization pass covering compilation, project settings, and packages.

Development58
Y
ydc-crewai-mcp-integration
ydc-crewai-mcp-integration
youdotcom-oss / agent-skills

Integrate You.com remote MCP server with crewAI agents for web search, AI-powered answers, and content extraction. - MANDATORY TRIGGERS: crewAI MCP, crewai mcp integration, remote MCP servers, You.com with crewAI, MCPServerHTTP, MCPServerAdapter - Use when: developer mentions crewAI MCP integration, needs remote MCP servers, integrating You.com with crewAI

Development58
A
activation
activation
noobygains / godmode

Use when starting any conversation - establishes how to locate and invoke skills, mandating Skill tool usage before ANY response including clarifying questions

Agent workflows57
A
adding-memory
adding-memory
volcengine / openviking

Add memories, learnings and context to OpenViking, aka. ov. Use when saving insights in chat. Trigger this tool when 1. sees keyword "ovm"; 2. is explicitly requested memorizing e.g. "remember ..." 3. identifies valuable memory worth adding

Agent workflows57
A
ae-automation
ae-automation
thinkingaiagenticengine / ae-cli

Manage AE Agent and Agent team automations with ae-cli: create and edit schedules, enable or disable, run now, stop or retry executions, delete, inspect history and read execution results. Use for scheduled tasks and unattended recurring Agent work, from a local computer or an AE sandbox

Agent workflows57
A
ae-workspace
ae-workspace
thinkingaiagenticengine / ae-cli

Manage AE AgentSpaces with ae-cli: resolve current workspace context, list or update workspace profiles, transfer files, configure Agent/MCP/Skill/knowledge-base capabilities, manage shared-space members, inspect activities, or scope automations and archived conversations. Use for the new Workspace product; legacy sandbox Workspace sync/model behavior is separate

Agent workflows57
A
agent-creator
agent-creator
fusengine / agents

Use when creating expert agents. Generates agent.md with frontmatter, hooks, required sections, and skill references.

Agent workflows57
A
agent-creator
agent-creator
fusengine / claude-plugins

Redefining development through cognitive automation and collaborative agent systems.

Agent workflows57
A
agent-readiness
agent-readiness
tryalan-ai / supa-skills

Evaluate how ready a codebase is for autonomous AI agent work. Generates a scored report across 11 dimensions with a maturity level and prioritized action plan.

Agent workflows57
A
agent-skill-discovery
agent-skill-discovery
ericgandrade / claude-superskills

This skill should be used when the user wants to see all installed plugins, agents, skills, and MCP servers, and also inspect the current repository for local agents, skills, and MCP configuration. Scans the environment and presents a structured catalog of available resources. Works across all AI CLI platforms (Claude Code, GitHub Copilot, Gemini CLI, OpenCode, OpenAI Codex).

Agent workflows57
A
agenthog-setup
agenthog-setup
theagentos / agentos-skills

Install the AgentHog SDK and wire tracing into the project — init at startup, wrap the primary agent loop, add env vars, verify a first trace lands. Use when the user asks to "set up agenthog", "add agenthog tracing", "instrument with agenthog", "add observability", "wire up tracing", or "add tracing to this app".

Development57
A
agents-md-manager
agents-md-manager
tdimino / claude-code-minoan

This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).

Agent workflows57
A
ai-sdk
ai-sdk
marcioaltoe / skills

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

Development57
A
alterlab-skill-name
alterlab-skill-name
alterlab-ieu / alterlab-academic-skills

<Verb-led statement of what the skill does, naming the real tools/libraries/databases/methods>. Use when <concrete trigger conditions and keywords a user's request would contain>. Part of the AlterLab Academic Skills suite.

Agent workflows57
A
alterlab-workflow-orchestration
alterlab-workflow-orchestration
alterlab-ieu / alterlab-academic-skills

Composes existing AlterLab skills into multi-agent agentic workflows using current Claude Code orchestration primitives — subagents (including nested subagents), dynamic workflow scripts, agent teams, forks, and the Claude Agent SDK: parallel fan-out, sequential pipelines, judge panels, adversarial verification, and loop-until-clean review cycles. Maps each pattern onto real skills (alterlab-research-pipeline, alterlab-deep-research, alterlab-citation-verifier, alterlab-paper-reviewer, alterlab-peer-review) with copyable delegation prompts, agent-definition frontmatter, workflow-script skeletons, and SDK query() snippets. Use when the request mentions multi-agent, subagents, agent team, dynamic workflow, workflow script, parallel agents, orchestration, pipeline of skills, judge panel, adversarial verification, devil's advocate, loop until clean, chaining skills, or composing skills into a custom workflow. Part of the AlterLab Academic Skills suite.

Agent workflows57
A
archetype-review-base
archetype-review-base
avelikiy / great_cto

Shared review framework that every domain reviewer (pci, oracle, gov, edtech, healthcare, mlops, etc.) MUST follow. Defines the output artifact (TM-{slug}.md), mandatory sections, severity scale, verdict format, the workflow scaffold (when-invoked, Step-0 read-inputs, HANDOFF), and the "domain heuristic vs generic check" boundary. Eliminates duplication across the ~30 reviewer prompts.

Security57
A
arduino-workflow-router
arduino-workflow-router
wedsamuel1230 / embedded-engineering-skills

Route Arduino and embedded-system requests across Arduino IDE, Arduino CLI, PlatformIO, and vendor-specific tools. Use when a request combines firmware, board constraints, electronics, power, networking, calibration, enclosure, upload, debugging, OTA, or maintenance, or when the exact board or toolchain is not yet clear.

Development57
A
article-prompts-to-skills
article-prompts-to-skills
akillness / jeo-skills

Convert an article, tutorial, or prompt pack into focused reusable AgentSkills, one independent capability per skill, with portable instructions, example prompts, working demos, preview screenshots, validation, gallery updates, and a narrow commit. Use when the user asks to turn an article's prompts, tutorial sections, design patterns, interactions, or workflow ideas into complete skills rather than leaving them as prose.

Agent workflows57
A
autoresearch
autoresearch
jackson-video-resources / skills

Lewis's deep-research workflow. Drop a question in, get a structured brief back with sources and conflicting views.

Agent workflows57
B
blueprint-promote
blueprint-promote
laurigates / claude-plugins

Move generated artifact to custom layer to preserve manual edits. Use when promoting a generated rule, preserving .claude/rules/ changes, or stopping sync warnings.

Agent workflows57
B
blueprint-rules
blueprint-rules
laurigates / claude-plugins

Manage modular rules in .claude/rules/ with path-specific globs. Use when adding or listing rules, syncing with CLAUDE.md, or validating path frontmatter.

Agent workflows57
B
brainstorm
brainstorm
dobroslavradosavljevic / skills

Read-only brainstorming mode for exploring ideas, plans, architecture, debugging approaches, product decisions, research topics, codebase questions, and alternatives without mutating the user's codebase. Use when the user invokes $brainstorm, says "brainstorm", "brainstorming session", "let's think", "explore this", "research only", "read-only", or otherwise asks to discuss before implementation. Remain read-only until the user explicitly asks to implement, edit, write, apply, commit, install, or otherwise change state.

Agent workflows57
B
build-executor
build-executor
magebyte-zero / spec-superflow

Execute an active direct request or approved planned change. Native continuous implementation is the default; existing legacy changes retain their recorded contract obligations.

Development57
C
caveman
caveman
borkweb / skills

Speak in a terse caveman style only when explicitly requested by name. Supports lite, full and ultra; persists until stopped. Ordinary brevity or token-efficiency requests do not activate it.

Agent workflows57
C
cekura-generate-scenarios
cekura-generate-scenarios
cekura-ai / cekura-skills

Turn a set of flagged production call logs into evaluator scenarios for a Cekura agent — cluster the failures into reproducible modes and create one scenario per cluster. Use when the user says "create scenarios from failed calls", "build evaluators for prod failures", "turn call logs into scenarios", "simulate the failures we saw in prod", "replay these bad calls as tests", "regression-test the agent on prod issues", or hands over a set of flagged call IDs to harden the agent against. The flagged set normally comes from `cekura-flag-call-log-failures`; if the user hasn't triaged yet, run that skill first. This skill takes the flagged calls as given — it does NOT re-mine or re-triage — clusters by failure mode, drafts one scenario per cluster, and optionally creates them via the scenarios API (or the call-logs → scenarios endpoint). Also supports a single-call fast path: given one call log ID (or an observe URL), reproduce just that call as one evaluator scenario.

Testing & quality57
C
chief-of-ai
chief-of-ai
mmcmedia / openclaw-agents

Chief of AI who researches new AI/tech developments, recommends tools, automation opportunities, and strategies to stay on the cutting edge. Monitors AI news, evaluates new tools, and identifies leverage points.

Productivity57
C
claude-handoff
claude-handoff
paulrberg / agent-skills

Orchestrate read-only Explore research subagents in any mode, or one to eight Claude subagents to implement an approved plan.

Agent workflows57
C
claude-headless-mode
claude-headless-mode
majesticlabs-dev / majestic-marketplace

Guide for using claude CLI in headless mode with --print, output formats, and JSON schema

Agent workflows57
C
codex-review-loop
codex-review-loop
lixiaolin94 / skills

Drive a GitHub pull request through ChatGPT Codex's online PR review to a clean merge: trigger a review, poll for the verdict (findings vs clean), fix each finding with local verification, and merge only after TWO consecutive clean reviews on the same commit. Use when iterating a PR against Codex review comments, or when asked to "run the Codex review loop", "handle Codex review findings", or "get this PR clean and merge it". Precondition: the repo has ChatGPT Codex's GitHub integration enabled (bot: chatgpt-codex-connector[bot]); also needs `gh` (authenticated) and `jq`.

Testing & quality57
C
cognee
cognee
topoteretes / cognee

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

Agent workflows57
C
compound-engineering
compound-engineering
rohunj / claude-build-workflow

Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of engineering makes subsequent work easier. Triggers on: plan this feature, implement this, review this code, compound learnings, create implementation plan, systematic development.

Agent workflows57
C
configure-claude-plugins
configure-claude-plugins
laurigates / claude-plugins

Configure .claude/settings.json (permissions, marketplace enrollment, enabledPlugins) and GitHub Actions workflows to use the laurigates/claude-plugins marketplace. Use when onboarding a new project to Claude Code plugins, setting up claude.yml and claude-code-review.yml workflows, adding the laurigates/claude-plugins marketplace to a repo, or merging plugin permissions into existing settings. Natural triggers: "set up claude plugins", "add claude marketplace", "install claude.yml workflow".

Agent workflows57
C
context-driven-development
context-driven-development
oimiragieo / agent-studio

Context-Driven Development methodology - treating project context as managed artifacts alongside code for consistent AI interactions and team alignment.

Agent workflows57
C
coordinator
coordinator
raine / workmux

Orchestrate multiple worktree agents. Spawn, monitor, communicate, and merge.

Agent workflows57
C
copilot
copilot
paulnsorensen / skillz-that-grillz

Use when the user says "copilot review", "review with copilot", "delegate to copilot", "have copilot fix this", "copilot agent task", "set up copilot", "generate copilot instructions", "bootstrap copilot for this repo", or invokes `/copilot`. Three modes: `review` (run a code review on a PR and route fixes to Copilot via inline `@copilot fix this` comments), `delegate` (create a `gh agent-task`, poll until the coding agent opens a PR, optionally hand off to review), and `setup` (one-time bootstrap that writes `.github/copilot-instructions.md` and the per-role `.github/instructions/*.instructions.md` files). `review` and `delegate` are routine; `setup` is a one-time repo bootstrap loaded on demand from `references/setup.md` only when the user explicitly asks. Do NOT use for plain GitHub PR work — that is `/gh`'s job.

Agent workflows57
C
craft-skills-and-memories
craft-skills-and-memories
vivswan / skills

Use when creating a skill or memory, when one fails in practice, or when the user reports one misbehaving or stale

Agent workflows57
9781–9840 of 13,294

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.