Elnora Tasks

Elnora Tasks

Tasks are conversations with the Elnora AI Agent. Send messages to generate protocols, iterate on outputs, and reference uploaded files.

Tool Access

Elnora is available via two methods. Use whichever is configured.

Option A — CLI via Bash (preferred)

Run commands via your Bash/Shell tool as elnora .... Verify with elnora --version. CLI uses ~5× fewer tokens than MCP.

Option B — MCP tools (when CLI isn't installed)

Look for tools prefixed mcp__elnora__ in your available tools. Call them with structured parameters (camelCase — e.g. projectId, taskId, not project-id). See the "MCP Tool Names" table below for the mapping.

If neither is available, tell the user to install one:

• CLI: curl -fsSL https://cli.elnora.ai/install.sh | bash (macOS/Linux)

or irm https://cli.elnora.ai/install.ps1 | iex (Windows)

• MCP: claude mcp add elnora --transport http --scope user https://mcp.elnora.ai/mcp

then /mcp to authenticate.

Never fabricate tool names. Valid commands are in the Commands section; their MCP equivalents are in the MCP Tool Names table.

Invocation

CLI="elnora"

Response Retrieval

The Elnora backend processes agent responses asynchronously. When you send a message, the POST returns immediately with the user message echo — the AI response arrives separately. Use --stream or --wait to collect it.

| Mode | Flag | Behavior | Timeout | Use when | |------|------|----------|---------|----------| | Streaming | --stream | Real-time SSE token-by-token output | 300s | Default choice. Best UX, longest timeout, pipeable | | Polling | --wait | Auto-polls every 2s until assistant message appears | 120s | You need the JSON message object, not real-time output | | Fire-and-forget | (no flag) | Returns immediately, no response | — | You'll check tasks messages manually later |

Recommended: Always use --stream unless you have a specific reason not to. Content tokens go to stdout, status events (think, tool_start, tool_end, progress) go to stderr — so output is pipeable: elnora tasks send ... --stream > response.txt.

MCP mode (elnora_tasks_send): Always collects the full response automatically via streaming, with polling as fallback. The caller receives { sent, taskId, response } with the complete assistant content.

SSE event types:

| Event | Payload | Direction | Description | |-------|---------|-----------|-------------| | think | content, turn | stderr | Agent reasoning/planning status | | tool_start | tool | stderr | Tool execution begins | | tool_end | tool, duration_ms, success | stderr | Tool execution completed | | progress | content | stderr | Intermediate status message | | token | content, agent | stdout | Streamed response content | | completed | content (optional) | — | Stream finished, client must close | | error | content | stderr | Pipeline error, client must close | | timeout | — | stderr | 300s inactivity, client must close |

IMPORTANT — Always show the full response: When Elnora returns a response (protocol, literature review, analysis, etc.), print the entire assistant content back to the user. No truncation, no summarization, no "here are the key points." The user asked Elnora to generate something — show them everything Elnora said, including comments, suggestions, warnings, and explanations. Strip JSON wrapper/metadata but preserve all human-readable content.

Getting a Project ID

Every task belongs to a project. Use the decision tree in the elnora-projects skill's "Choosing a Project" section to pick one, then reuse the ID for the rest of the session. Don't re-list projects for every task command.

Quick reminder of the decision tree:

1. One project → use it automatically.
2. 2–5 projects → ask user to pick by name or number.
3. 6+ projects → ask user to name/describe; match by name.
4. Zero → tell user to create one first.

$CLI --compact --fields "id,name" projects list

Commands

List Tasks

$CLI --compact tasks list
$CLI --compact tasks list --project 
$CLI --compact tasks list --project  --page 2 --page-size 50

Pagination: --page (default 1), --page-size (default 25, max 100).

Response:

{"items":[{"id":"","projectId":"","title":"...","status":"active","messageCount":4,"lastMessageAt":"...","createdAt":"..."}],"page":1,"pageSize":25,"totalCount":N,"totalPages":N,"hasNextPage":false,"hasPreviousPage":false}

Get Task

$CLI --compact tasks get 

Returns full task detail. Use this to inspect a task before interacting.

Create Task

$CLI --compact tasks create --project  --title "PCR protocol for BRCA1" --message "Generate a simple PCR protocol for BRCA1 exon 11"

| Flag | Required | Notes | |------|----------|-------| | --project | Yes | Project UUID | | --title | No | Task title (auto-generated if omitted) | | --message | No | Initial message to start the conversation | | --stream | No | Stream agent response in real-time via SSE (300s timeout). Requires --message | | --wait | No | Poll for agent response (120s timeout). Requires --message |

Returns the created task with its id. If --message is provided without --stream or --wait, the response is fire-and-forget — use tasks messages to check later.

Send Message

# Stream response in real-time (recommended)
$CLI --compact tasks send  --message "Use Taq polymerase" --stream

# Wait for response (returns message object)
$CLI --compact tasks send  --message "Use Taq polymerase" --wait

# Fire-and-forget (returns immediately, check messages later)
$CLI --compact tasks send  --message "Use Taq polymerase and set annealing to 58C"

# Reference uploaded files
$CLI --compact tasks send  --message "Optimize based on this template" --file-refs "," --stream

| Flag | Required | Notes | |------|----------|-------| | --message | Yes | Message content | | --file-refs | No | Comma-separated file UUIDs to attach as context | | --stream | No | Stream agent response in real-time via SSE (300s timeout) | | --wait | No | Poll for agent response (120s timeout) |

Streaming details: Status events (think, tool_start, tool_end, progress) go to stderr, content tokens go to stdout. This makes streaming pipeable: elnora tasks send ... --stream > response.txt.

Get Messages

$CLI --compact tasks messages 
$CLI --compact tasks messages  --limit 10
$CLI --compact tasks messages  --cursor 

Response — messages ordered by sequence, with role (user/assistant):

{"items":[{"id":"","role":"user","content":"...","sequence":1,"createdAt":"..."},{"id":"","role":"assistant","content":"...","metadata":"{\"status\":\"completed\"}","sequence":2,"createdAt":"..."}],"nextCursor":null,"hasMore":false}

Cursor-based pagination: if hasMore is true, pass nextCursor as --cursor. Default limit is 50 (max 100).

Update Task

$CLI --compact tasks update  --title "Updated title"
$CLI --compact tasks update  --status completed

Must provide at least one of --title or --status.

Archive Task

$CLI --compact tasks archive 
# -> {"archived":true,"taskId":""}

Destructive — confirm with user before running.

MCP Tool Names

All commands are auto-registered as MCP tools with the elnora_ prefix:

| CLI command | MCP tool name | |-------------|---------------| | tasks list | elnora_tasks_list | | tasks get | elnora_tasks_get | | tasks create | elnora_tasks_create | | tasks send | elnora_tasks_send | | tasks messages | elnora_tasks_messages | | tasks update | elnora_tasks_update | | tasks archive | elnora_tasks_archive |

MCP tools accept the same parameters as CLI flags (camelCase). elnora_tasks_send always waits for the full agent response.

Agent Recipes

Typical workflow (list projects → create task → stream response):

# Step 1: Get the project ID (do this once, reuse for all commands)
$CLI --compact --fields "id,name" projects list
# Pick the project that matches the user's context. Example with one project:
# PROJECT="bfdc6fbd-40ed-4042-9ea7-c79a5ec90085"

# Step 2: Create task and stream
$CLI --compact tasks create --project "$PROJECT" --title "PCR BRCA1" --message "Generate PCR protocol for BRCA1 exon 11" --stream

Continue a conversation (reuse task ID):

$CLI --compact tasks send "$TASK" --message "Add gel electrophoresis step" --stream
$CLI --compact tasks send "$TASK" --message "Reduce annealing temperature to 55C" --stream

Read conversation history:

$CLI --compact tasks messages  | jq '.items[-1] | select(.role == "assistant") | .content'

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Elnora-AI
• Source: Elnora-AI/elnora-plugins
• License: Apache-2.0
• Homepage: https://elnora.ai

Install and usage instructions live in the source repository linked above.