parallel-monitor

Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something…

npx skills add https://github.com/parallel-web/parallel-agent-skills --skill parallel-monitor

Web Monitor

Action: $ARGUMENTS

Requires parallel-cli ≥ 0.4.0 for the GA Monitor commands. If a Monitor command or option is missing, tell the user to update through their installation method (see https://docs.parallel.ai/integrations/cli), then retry.

What this skill does

Monitors are long-running, server-side jobs that re-check the web on a cadence and emit events when something changes. Unlike search/research/findall (one-shot lookups), monitors persist until cancelled and can optionally deliver detected events through a webhook.

Decide the action

Parse the user's request and pick one:

IntentAction
"Track / watch / monitor / alert me when X"create
"What am I monitoring?" / "List monitors"list
"What changed?" / "Show me events for monitor X"events
"Show monitor X" / "Get details for X"get
"Change cadence / webhook for X"update
"Check monitor X now" / "Run it now"trigger
"Show me the full payload for event group X"events with --event-group-id
"Stop / delete monitor X"cancel (always confirm before cancelling)

Create a monitor

parallel-cli monitor create "<query>" --frequency 1d --json

Frequency accepts <n><unit> with h, d, or w (for example 1h, 1d, or 1w). The aliases hourly, daily, weekly, and every_two_weeks are also accepted. Match cadence to how often the source actually changes — hourly for prices/news, weekly for filings/staffing.

Optional flags:

  • --webhook https://example.com/hook — deliver detected events to a URL
  • --metadata '{"team":"competitive-intel"}' — attach JSON metadata for your own bookkeeping
  • --output-schema '<json>' — structure the event payload (advanced)

Parse the JSON to extract the monitor_id. Tell the user:

  • The monitor has been created with its ID
  • The frequency (so they know how often the monitor checks)
  • That recent events are available server-side — they can run parallel-cli monitor events $MONITOR_ID later to see what changed

List monitors

parallel-cli monitor list -n 10 --json

Default to -n 10 for concise output. list returns active monitors only by default; add --status active --status cancelled when the user asks to include cancelled monitors. Raise the limit only for a larger set. Present as a table: ID, query or Task Run (truncated), frequency, created.

Note: monitor list is sorted newest-first. If a user is verifying creation, prefer monitor get $MONITOR_ID (using the ID returned by create) over scanning the list.

View events for a monitor

parallel-cli monitor events "$MONITOR_ID" --json

Events are returned newest-first. If the response contains next_cursor, pass it with --cursor to retrieve another page.

For deeper detail on a specific event group:

parallel-cli monitor events "$MONITOR_ID" --event-group-id "$EVENT_GROUP_ID" --json

Summarize for the user: count of events, then a bulleted list of what changed with dates or timestamps. Cite source URLs from the event payload.

Get / update / trigger / cancel

parallel-cli monitor get "$MONITOR_ID" --json
parallel-cli monitor update "$MONITOR_ID" --frequency 1w --json
parallel-cli monitor trigger "$MONITOR_ID" --json
parallel-cli monitor cancel "$MONITOR_ID" --json

The current CLI does not expose query updates; create a new monitor to change the query.

trigger enqueues a real off-schedule run without changing the regular schedule. It is not a synthetic webhook test, and it emits an event only if the run detects a material change.

Always confirm before cancelling — cancellation is permanent.

Setup

Requires parallel-cli (installed and authenticated). If parallel-cli --version fails, or if a later command fails with an authentication error, tell the user to see https://docs.parallel.ai/integrations/cli and stop.

More skills from parallel-web

migrate-to-parallel
parallel-web
Migrate Exa, Tavily, Perplexity, or Firecrawl web-data integrations completely to the appropriate Parallel products while preserving application behavior. Use…
parallel-data-enrichment
parallel-web
Bulk enrichment of company, people, or product data with web-sourced fields like CEO names, funding, and contact info. Accepts inline JSON data or CSV files; outputs enriched results to CSV Runs asynchronously with progress tracking via monitoring URL and polling commands Requires parallel-cli tool and internet access; handles large datasets with configurable timeouts Supports flexible field requests through natural language intent descriptions (e.g., "CEO name and founding year")
parallel-deep-research
parallel-web
Exhaustive research with configurable depth, latency, and cost trade-offs for complex topics. Three processor tiers (pro-fast, ultra-fast, ultra) ranging from 30 seconds to 25 minutes, with cost scaling from 1x to 3x baseline Asynchronous execution with polling: kick off research instantly, monitor progress via URL, retrieve results when ready without blocking Outputs formatted markdown report and JSON metadata; executive summary printed to stdout for quick overview Designed for explicit...
parallel-findall
parallel-web
Discover entities (companies, people, products, etc.) matching a natural-language description. Use when the user asks to 'find all X' or 'list every Y that…' —…
parallel-memory
parallel-web
Recall past Parallel Task, Monitor, and FindAll runs when they may help; evict runs or clear memory when asked.
parallel-web-extract
parallel-web
Extract content from multiple URLs in parallel, token-efficiently. Handles webpages, articles, PDFs, and JavaScript-heavy sites with a single command Runs in a forked context to minimize token overhead compared to built-in WebFetch Supports batch extraction of multiple URLs with optional focus objectives Requires parallel-cli installation and authentication; outputs extracted content as markdown to a local file for follow-up queries
parallel-web-search
parallel-web
Fast web search for current information, research, and fact-finding across the internet. Executes single objective-based queries or multiple keyword searches in parallel, returning up to 10 results with excerpts and metadata Supports time-sensitive filtering via --after-date and domain-specific searches with --include-domains Outputs structured JSON with titles, URLs, publish dates, and excerpts for easy parsing and follow-up queries Requires inline citations for every claim using markdown...
setup
parallel-web
Set up the Parallel plugin (install CLI)