Skills
Agent Skills
31 skills, version 3.0.0
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All (31) · Start here (4) · Capability (12) · In your tool (12) · Studio kinds (3)
Start here
Picks the right PlungeAI entry point before you write anything — the MCP server (https://mcp.plungeai.com/v1 (opens in a new tab)) for live agent operation, the One API (https://api.plungeai.com (opens in a new tab)) for code you write or…
Setup for the PlungeAI One API (https://api.plungeai.com (opens in a new tab)) — a self-service ozk_ key, the base URL, the Bearer/X-API-Key auth header, your first curl call, the live OpenAPI 3.1 contract at…
Operate the Ocean CLI (ocean; package @plungeai/ocean-cli — not yet on npm, run from the Ocean-Platform repo) to drive PlungeAI from a terminal: install/setup, auth (Studio session cookie vs…
Connect and operate the PlungeAI MCP server (https://mcp.plungeai.com/v1 (opens in a new tab)) — endpoint and Bearer ozk_/X-API-Key auth, a generic MCP client config (native remote/HTTP, or the mcp-remote stdio bridge)…
Capability
Run a PlungeAI registry agent: recognize the two kinds (prompt-driven vs structured tool-agents), execute a prompt-driven one sync or async (plungeai_execute_agent MCP / `POST…
Run a list to completion on PlungeAI: the campaign ledger (claim/complete/fail/retry over data-table-agent), the campaign-config block (list source, cycle, cadence, retries, delivery), and how a…
Find the right thing on PlungeAI's live registry before building anything: agents, structured tools, models, skills, personas, connectors, and saved workflow templates, via hybrid semantic + keyword…
Read and write PlungeAI's per-user long-term memory (plungeai_memory: recall/remember/search_runs/get_run) and distill a session into a reusable skill with plungeai_learn — distinct from…
Run bounded autonomous PlungeAI agent missions (type: harness) — a goal, a tool fence, an iteration cap, and self-checked success criteria, via plungeai_run_mission or a harness workflow task.
Model routing on PlungeAI: how agents/workflows/missions resolve a model through the platform's provider factory (model/provider fields on a task or mission), and the separate OpenAI-compatible…
THE PlungeAI (Ocean) platform capability map: a growing live registry of agents and structured tools, CNL multi-agent workflows, bounded harness missions, injectable skills/plugins/experts/personas…
Debug and observe PlungeAI runs: live SSE events, plungeai_get_workflow_status / plungeai_executions history, persisted GET /v1/traces/{id} spans and gateway request cost, the HITL conversation loop…
Cron-schedule PlungeAI workflows, agent queries, pre-built agent cards, and condition-watching heartbeats via plungeai_schedule, with full run history and retries.
Declare and understand PlungeAI's capability-injection fields on a type: harness task or plungeai_run_mission — skills, experts, persona, backgrounds, plugins, and MCP servers — including…
Call PlungeAI structured tool-agents with typed parameters against a published invocation contract: fetch the contract (plungeai_get_tool_contract / GET /v1/tools/{id}), execute with typed…
Build, validate, test, and save PlungeAI (Ocean Studio) workflows in CNL YAML.
In your tool
Connect Bolt.new to PlungeAI (Ocean Studio) over MCP — the Connectors → Custom MCP server form, the all-tools/all-projects toggle behavior, keeping the shipped app's key server-side, and a…
Connect claude.ai web or Claude Desktop to PlungeAI (Ocean Studio) — Desktop live tools via the mcp-remote bridge in claude_desktop_config.json (OAuth isn't available yet, hence the bridge)…
Connect the Claude Code CLI to PlungeAI (Ocean Studio) over MCP — 'claude mcp add' one-liner, project-scoped .mcp.json with an env-var key, the skills/plugin install path, and a plungeai_whoami +…
Connect OpenAI Codex CLI to PlungeAI (Ocean Studio) over MCP — native streamable-HTTP in ~/.codex/config.toml (env-var or static bearer token), the codex mcp add terminal command, the mcp-remote…
Connect Cursor to PlungeAI (Ocean Studio) over MCP — the one-click install-page deeplink or a ~/.cursor/mcp.json entry, Agent/Plan-mode tool behavior, the ~40-tool cap, and a plungeai_whoami +…
Connect Gemini CLI to PlungeAI (Ocean Studio) over MCP — a ~/.gemini/settings.json entry using httpUrl (not url, which is SSE-only and 405s), the mcp-remote bridge fallback, /mcp reload after edits…
Connect Lovable to PlungeAI (Ocean Studio) — a personal chat connector (any plan) so Lovable's chat can operate PlungeAI via MCP while building, and a workspace-admin app connector so shipped apps…
Connect OpenCode to PlungeAI (Ocean Studio) over MCP — an opencode.json mcp.plungeai entry with type: remote, {env:VAR} variable substitution for a committed project config, and a plungeai_whoami +…
Connect Replit Agent to PlungeAI (Ocean Studio) over MCP — the one-click install-page link, the Integrations → MCP Servers form, keeping the Agent's MCP key separate from a deployed app's Replit…
Connect v0 (Vercel) to PlungeAI (Ocean Studio) over MCP — the + menu → MCPs form, why the generated Next.js app must call PlungeAI through a server Route Handler (v0 apps can't call MCP directly)…
Connect VS Code (GitHub Copilot agent mode) to PlungeAI (Ocean Studio) over MCP — the code --add-mcp CLI command, a committed-safe .vscode/mcp.json with an input-prompted key, the…
Connect Windsurf (Cascade) to PlungeAI (Ocean Studio) over MCP — a ~/.codeium/windsurf/mcp_config.json entry using serverUrl, the mcp-remote bridge fallback for stdio-only builds, the 100-tool cap…
Studio kinds
Design and emit ONE bounded agentic agent for PlungeAI (Ocean Studio) as a single type: harness mission — purpose, allowed_tools fence, permissions gates (deny/ask), skills/plugins/MCP/persona…
Design and emit ONE PlungeAI (Ocean Studio) bot agent — a scheduled, unattended type: harness mission that reports to the user's channels (in-app, email, Slack, Telegram, WhatsApp, Discord) — as…
Design and emit ONE PlungeAI (Ocean Studio) campaign agent — a long-running, list-driven, resumable agent that works an owned ledger of items in short scheduled runs until the current cycle is…