Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Developer Tools
Parallel AI search
Web search + URL extraction via Parallel Search/Extract APIs. Use for up-to-date research, domain-scoped searching, and extracting LLM-ready excerpts/markdown from URLs.
skill openclawclawhub Free
Web search + URL extraction via Parallel Search/Extract APIs. Use for up-to-date research, domain-scoped searching, and extracting LLM-ready excerpts/markdown from URLs.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- references/command-templates.md, references/troubleshooting.md, SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.3
Provenance
- Publisher
- tristanmanchester
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Parallel AI Search (CLI Master)
This is a single “master” skill that replaces the earlier Node-script-based version of parallel-ai-search. It routes to the right parallel-cli capability for the task: Search: quick web lookup with citations (parallel-cli search) Extract: turn URLs (including PDFs and JS-heavy pages) into clean, LLM-ready text (parallel-cli extract) Deep research: multi-source reports with processor tiers (parallel-cli research ...) Enrich: add web-sourced columns to CSV/JSON (parallel-cli enrich ...) FindAll: discover entities from the web with optional enrichments (parallel-cli findall ...) Monitor: track web changes on a cadence, optionally via webhook (parallel-cli monitor ...)
Routing rules (pick ONE)
Choose the smallest / cheapest action that solves the user’s request: Extract — if the user gives one or more URLs or says “read/summarise this page”, “extract”, “quote”, “pull the content”, “what does this page say”. Deep research — ONLY if the user explicitly asks for deep, exhaustive, comprehensive, thorough investigation, or a multi-source “report”. Enrich — if the user provides a list/table (CSV/JSON/inline objects) and wants new columns like CEO, revenue, funding, contact info, etc. FindAll — if the user wants you to discover many entities (companies/people/venues/etc.) that match criteria. Monitor — if the user wants ongoing tracking (“alert me”, “track changes”, “monitor this weekly”) rather than a one-off answer. Search — default for everything else that needs current web info or citations. Optional manual prefixes if the user invoked this skill directly: search: ... extract: ... research: ... enrich: ... findall: ... monitor: ... If a prefix is present, honour it.
Setup and authentication (only when needed)
Before running any Parallel command, ensure auth works: parallel-cli auth If parallel-cli is missing, install it: curl -fsSL https://parallel.ai/install.sh | bash If you cannot use the install script, use pipx: pipx install "parallel-web-tools[cli]" pipx ensurepath Then authenticate (choose one): # Interactive OAuth (opens browser) parallel-cli login # Headless / SSH / CI parallel-cli login --device # Or environment variable export PARALLEL_API_KEY="your_api_key"
Output & citation rules
Always cite web-sourced facts with inline markdown links: [Source Title](https://...). End with a Sources list whenever you used Search/Extract/Research output. Prefer official/primary sources when available. For long outputs, save to files in /tmp/ and summarise in-chat.
Search (default web lookup)
Use Search for fast, cost-effective answers with citations.
Command template
parallel-cli search "$OBJECTIVE" --mode agentic --max-results 10 --json Add any of these only when relevant: --after-date YYYY-MM-DD (freshness constraint) --include-domains a.com b.org (restrict sources) --exclude-domains spam.com (block sources) one or more -q "keyword query" flags (extra keyword probes) -o "/tmp/$SLUG.search.json" (save full JSON to a file)
Parse + respond
From the JSON results, extract title, url, and any publish_date / excerpt fields. Answer the user’s question, and cite each claim inline.
Extract (read one or more URLs)
Use Extract when you need the actual contents of specific URLs (webpages, PDFs, JS-heavy sites).
Command template
parallel-cli extract "$URL" --json Add when relevant: --objective "Focus area" (e.g., pricing, API usage, constraints) --full-content (only if the user needs the whole page) --no-excerpts (if you only want full content) -o "/tmp/$SLUG.extract.json" (save full JSON to a file)
Respond
If the user asked for a summary, summarise with citations to the extracted URL. If the user asked for the verbatim text, provide the extracted markdown only if it is reasonably sized; otherwise provide the key sections + offer to read more from the saved output.
Deep research (only when explicitly requested)
Deep research is slower and may cost more than Search. Use it only when the user explicitly wants depth.
Step 1 — start (always async)
parallel-cli research run "$QUESTION" --processor pro-fast --no-wait --json Parse run_id (and any monitoring URL) from JSON and tell the user the run started.
Step 2 — poll (bounded timeout)
Choose a short slug filename (lowercase-hyphen), then: parallel-cli research poll "$RUN_ID" -o "/tmp/$SLUG" --timeout 540 Share the executive summary printed by the poll command. Mention the output files: /tmp/$SLUG.md /tmp/$SLUG.json If polling times out, re-run the same poll command — the run continues server-side.
Enrich (CSV/JSON or inline data)
Use Enrich to add web-sourced columns to structured data.
Step 1 — (optional) suggest columns
parallel-cli enrich suggest "$INTENT" --json Use this when the user knows the goal but not the exact output schema.
Step 2 — run (always async for large jobs)
For CSV: parallel-cli enrich run --source-type csv --source "input.csv" --target "/tmp/enriched.csv" --source-columns '[{"name":"company","description":"Company name"}]' --intent "$INTENT" --no-wait --json For inline JSON rows: parallel-cli enrich run --data '[{"company":"Google"},{"company":"Apple"}]' --target "/tmp/enriched.csv" --intent "$INTENT" --no-wait --json Parse taskgroup_id from JSON.
Step 3 — poll
parallel-cli enrich poll "$TASKGROUP_ID" --timeout 540 --json After completion: Tell the user the output file path (the --target you chose). Preview a few rows (using file read tools if available) and report row counts. If poll times out, re-run it — the job continues server-side.
FindAll (entity discovery)
Use FindAll when the user wants you to discover a set of entities (e.g., “AI startups in healthcare”, “roofing companies in Charlotte”, “YC devtools companies”).
Step 1 — run
parallel-cli findall run "$OBJECTIVE" --generator core --match-limit 25 --no-wait --json Useful options: --dry-run --json to preview schema before spending money --exclude '[{"name":"Example Corp","url":"example.com"}]' to avoid known entities --generator preview|base|core|pro (core default; pro for hardest queries) Parse run_id from JSON.
Step 2 — poll + fetch results
parallel-cli findall poll "$RUN_ID" --json parallel-cli findall result "$RUN_ID" --json Respond with: total entities found a clean list/table of the best matches (name + URL + key attributes) any caveats about ambiguous matches
Monitor (web change tracking)
Use Monitor when the user wants ongoing tracking. Create: parallel-cli monitor create "$OBJECTIVE" --cadence daily --json Optional: --cadence hourly|daily|weekly|every_two_weeks --webhook https://example.com/hook (deliver events externally) --output-schema '<JSON schema string>' (structured events) Manage: parallel-cli monitor list --json parallel-cli monitor get "$MONITOR_ID" --json parallel-cli monitor update "$MONITOR_ID" --cadence weekly --json parallel-cli monitor delete "$MONITOR_ID" parallel-cli monitor events "$MONITOR_ID" --json parallel-cli monitor simulate "$MONITOR_ID" --json Respond with the monitor id and how to retrieve events (or confirm webhook delivery).
Reference material
Copy/paste command templates and patterns: references/command-templates.md Troubleshooting common failures: references/troubleshooting.md
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs
- SKILL.md
- references/command-templates.md
- references/troubleshooting.md