cherry-wine.vercel.app

{
  "name": "read_cherry_context",
  "kind": "answer",
  "impl": "imperative",
  "description": "Read the current Cherry state: active workspace, missions with states, pending approvals, latest verification, and what action is valid next.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "required": [],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "list_cherry_capabilities",
  "kind": "answer",
  "impl": "imperative",
  "description": "List which WebMCP tools are active now, and which surface and state each other tool needs.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "required": [],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "get_cherry_status",
  "kind": "answer",
  "impl": "imperative",
  "description": "Lightweight status probe: current product state, active workspace/mission ids, counts, and which tools are callable right now. Read-only and always available.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "required": [],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "introduce_agent",
  "kind": "act",
  "impl": "imperative",
  "description": "Introduce yourself by name. The attached agent is auto-assigned to the active workspace and mission — there is nothing to create or configure. The name only labels the session for the human; it grants no authority: approvals, trust, and memory stay human-only.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "name": {
        "type": "string",
        "description": "How the human should see you, e.g. \"ChatGPT\" or \"Claude — research\"."
      }
    },
    "required": [
      "name"
    ],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "list_skills",
  "kind": "answer",
  "impl": "imperative",
  "description": "Read the cross-workspace skill library with status, exact revision, approval hash, sample label, and install readiness. Pages with offset and nextOffset. For sample=false, installReady records a live human decision. sample=true is a labelled synthetic reference state and never proof of a user decision.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "status": {
        "type": "string",
        "enum": [
          "all",
          "approved"
        ],
        "description": "Optional filter: 'approved' returns only install-ready skills (default 'all')"
      },
      "offset": {
        "type": "integer",
        "minimum": 0,
        "description": "Skip this many skills; pass the previous nextOffset to read the next page (default 0)"
      }
    },
    "required": [],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "recommend_skills",
  "kind": "act",
  "impl": "imperative",
  "description": "Rank helpful skills with explainable lexical matching and no hidden model call. Results include exact revision, approval hash, and sample label. sample=true is a synthetic reference state, not proof of a live human approval.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "task": {
        "type": "string",
        "description": "What the agent is trying to do right now"
      },
      "limit": {
        "type": "integer",
        "minimum": 1,
        "maximum": 5,
        "description": "Max results (default 3, max 5)"
      }
    },
    "required": [
      "task"
    ],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "get_skill",
  "kind": "answer",
  "impl": "imperative",
  "description": "Read one skill with bounded source citations. format 'summary' (default) returns its contract. Live files require a human approval at the exact current revision. Labelled samples report sample=true and approvalKind='synthetic-sample-state'; that state is not proof of a live decision.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "skillId": {
        "type": "string",
        "description": "Skill id from list_skills or recommend_skills"
      },
      "format": {
        "type": "string",
        "enum": [
          "summary",
          "skill-md",
          "agents-md",
          "claude-md"
        ],
        "description": "'summary' | 'skill-md' | 'agents-md' | 'claude-md' (default 'summary')"
      },
      "part": {
        "type": "integer",
        "minimum": 1,
        "description": "File formats are delivered in bounded parts; request part 1..totalParts (default 1)"
      }
    },
    "required": [
      "skillId"
    ],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "start_apprenticeship",
  "kind": "act",
  "impl": "imperative",
  "description": "Start a fresh apprenticeship in one call: a DRAFT mission, plus a local workspace when there is none active or when newWorkspace is true. workspaceName names a workspace this call creates; it never switches to an existing one, so pass newWorkspace:true to get a separate space. The result always reports workspaceCreated and the workspace actually in use. Never loads a source — lesson loading stays behind the explicit rights check in load_lesson.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "workspaceName": {
        "type": "string",
        "description": "Names a workspace this call creates. Applies only to a newly created workspace; it never renames or selects an existing one. Default \"My apprenticeship\"."
      },
      "newWorkspace": {
        "type": "boolean",
        "description": "Create and activate a separate workspace even though one is already active. Existing spaces and their data are left untouched."
      },
      "title": {
        "type": "string",
        "description": "Mission title (default \"Learn a lesson and prove it\")"
      },
      "objective": {
        "type": "string",
        "description": "What the finished skill should achieve"
      },
      "definitionOfDone": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Acceptance checklist"
      }
    },
    "required": [],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "create_workspace",
  "kind": "act",
  "impl": "imperative",
  "description": "Create a new local Cherry workspace. All data stays in this browser unless the user exports it.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "name": {
        "type": "string",
        "description": "Workspace name, 1-120 chars"
      },
      "description": {
        "type": "string",
        "description": "Optional description"
      }
    },
    "required": [
      "name"
    ],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "create_mission",
  "kind": "act",
  "impl": "imperative",
  "description": "Create a mission in the active workspace with an objective and a definition of done. The mission starts in DRAFT.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "title": {
        "type": "string"
      },
      "objective": {
        "type": "string"
      },
      "definitionOfDone": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "Checklist of acceptance statements"
      },
      "riskLevel": {
        "type": "string",
        "enum": [
          "low",
          "medium",
          "high"
        ]
      }
    },
    "required": [
      "title",
      "objective",
      "definitionOfDone"
    ],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "load_starter_library",
  "kind": "act",
  "impl": "imperative",
  "description": "Install the labelled starter library into this browser so recommend_skills and get_skill have something real to return. These are shipped reference methods, not skills this person approved: every entry reports sample=true and approvalKind synthetic-sample-state. Use it when list_skills or recommend_skills come back empty.",
  "inputSchema": {
    "type": "object",
    "properties": {},
    "required": [],
    "additionalProperties": false
  },
  "page": "/"
}

{
  "name": "install_catalog_skill",
  "kind": "act",
  "impl": "imperative",
  "description": "Install one skill from the preloaded catalog of third-party Agent Skills into this browser. The upstream SKILL.md is imported as a lesson and run through the ordinary derivation, so the result is a DRAFT with citations back to the source repo — not an approved method. Attribution and license travel with the text. Creates a workspace first if this browser has none. Find ids with recommend_skills.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "catalogId": {
        "type": "string",
        "description": "Catalog id from recommend_skills, e.g. \"workflows/screen-reader-testing\""
      },
      "workspaceName": {
        "type": "string",
        "description": "Name for the workspace, only used if one has to be created"
      }
    },
    "required": [
      "catalogId"
    ],
    "additionalProperties": false
  },
  "page": "/"
}