mcpField

Skills

96,770 packaged capabilities and playbooks for agents. Install any of them with one command.

Agent workflows

M
make-bot-ui
make-bot-ui
q-qp-p / pstack

Use when building a custom UI (page, dashboard, buttons) that should wake a Grok Bot over a webhook, when the user must provide a webhook sender key, or when exposing that UI on Tailscale.

Development9
P
poteto-help
poteto-help
q-qp-p / pstack

Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.

Agent workflows9
P
poteto-mode
poteto-mode
q-qp-p / pstack

poteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.

Agent workflows9
S
setup-ox
setup-ox
overextended / skills

Configure the Overextended skills. Picks which model and reasoning level each subagent role uses within a budget you choose, then detects your FiveM server, its ox resources and framework. Writes `~/.config/ox/models.md` and `.ox/config.md`, which the other ox skills read.

Agent workflows9
S
sharpen
sharpen
q-qp-p / pstack

Sharpen a task before starting: the expert approach, what the user is really after, and the right level of specification. Use for /sharpen.

Agent workflows9
W
writing-for-agents
writing-for-agents
overextended / skills

Writing documents for agents. Use when creating or editing skills, or modifying AGENTS.md or CLAUDE.md

Agent workflows9
A
arena
arena
overextended / skills

Run several candidates at the same task on different models, pick the strongest as the base, and graft the best parts of the others into it. Use when the user asks to arena something, or when a skill such as architect calls for it.

Agent workflows8
F
figure-it-out
figure-it-out
overextended / skills

Design and run a bespoke, auditable workflow for a task no narrower skill fits, such as a large migration, an ambitious multi-part change, or work the user reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use when the user asks you to figure it out, or for a large task no other workflow covers.

Agent workflows8
F
foreman
foreman
rfxlamia / claude-foreman

Delegate implementation work to external coding-agent CLIs (OpenAI Codex `codex exec`, Google Antigravity/Gemini `agy -p`, or any harness with an adapter) instead of Claude subagents, so heavy coding burns other providers' quota while Claude acts as foreman — planning, briefing, reviewing diffs and verifying. Use when the user invokes /foreman, asks to “use codex/gemini/agy as workers,” “save Claude quota/limits,” or “let another model do the coding while you review.” Workers run in isolated git worktrees via scripts/dispatch.sh.

Agent workflows8
I
in-your-own-words
in-your-own-words
ericlitman / open-pstack

Restate in your own words what you think the user's goals are and what problem they're trying to solve. Use for /in-your-own-words.

Agent workflows8
O
ox-mode
ox-mode
overextended / skills

Work in the Overextended style. Concise replies, deliberate subagents, simple code, and work verified before it's called done, routed through a playbook per task.

Agent workflows8
P
principles
principles
overextended / skills

Engineering principles for building, verifying and delegating work. Use when sizing or sequencing a change, designing data or types, debugging, deciding whether work is verified, trusting a measured number, or splitting work across subagents.

Development8
R
retro
retro
overextended / skills

Conduct a retrospective on a coding session

Agent workflows8
S
sharpen
sharpen
ericlitman / open-pstack

Sharpen a task before starting: the expert approach, what the user is really after, and the right level of specification. Use for /sharpen.

Agent workflows8
S
show-me-your-work
show-me-your-work
overextended / skills

Keep a reviewable decision trail, a TSV log with one row per decision (what, why, evidence, result), for long-running, unattended or multi-phase work. Use when the user asks for a decision trail or will review the work after stepping away, or when a skill such as figure-it-out calls for it.

Agent workflows8
W
webhelm
webhelm
lalalic / browser-workspace

Control the real browser through the WebHelm skill and Python CLI, with leased tab workspaces, persistent Python sessions, compact snapshots, and built-in platform workflows.

Agent workflows8
L
light-html-plan
light-html-plan
light-cheng / skills

Show a plan's status as one readable offline HTML page — what the project is, how far it got, what waits on the user, what changed since approval, and what the system judged for them — built from SPECs, tickets, change proposals, decision logs, and review verdicts. Refresh `.scratch/<feature>/plan.html` when it exists and a stage finished, work got blocked, or an acceptance result arrived. Use when HTML is requested or plan relationships need a visual overview; plain plan wording alone is not a trigger

Agent workflows7
S
swarm
swarm
overextended / skills

Fan out parallel subagents over slices of a task, or race them on the same brief, then aggregate one report. Use when the user asks to swarm something, or when a skill calls for parallel coverage, races, gauntlets or exploration

Agent workflows7
R
retro
retro
lwlee2608 / agent-skills

Use when the user asks for a retrospective on an agent session ("/retro", "how did this session go", "what could this session do better"), for the current session or a given session ID or transcript path. Reports time per phase, tool-call errors, repeated slow test runs, and skill inefficiencies. Works for Claude Code and pi.

Agent workflows6
K
ketchup-video
ketchup-video
mdsmithaustin / pstack

Catch the user up as the ketchup skill does, with a short silent video of slides for what happened and the waiting calls as text under it. Use for /ketchup-video.

Agent workflows5
D
Deep Agents Orchestration
Deep Agents Orchestration
jackjin1997 / clawforge

Invoke this skill when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

Agent workflows0
J
jira:work
jira:work
thelobbi / claude

Start working on a Jira issue with optimized tiered orchestration. Begins with intelligent question-gathering to ensure complete understanding before implementation.

Agent workflows0
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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.