// DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly requests 'deep' or 'exhaustive' research.
[HINT] Download the complete skill directory including SKILL.md and all related files
| name | parallel-web-search |
| description | DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly requests 'deep' or 'exhaustive' research. |
| user-invocable | true |
| argument-hint | <query> |
| context | fork |
| agent | parallel:parallel-subagent |
| compatibility | Requires parallel-cli and internet access. |
| allowed-tools | Bash(parallel-cli:*) |
| metadata | {"author":"parallel"} |
Search the web for: $ARGUMENTS
Choose a short, descriptive filename based on the query (e.g., ai-chip-news, react-vs-vue). Use lowercase with hyphens, no spaces. Substitute it into the command inline — $FILENAME and <keyword> below are placeholders, not shell variables; do not copy them verbatim.
parallel-cli search "$ARGUMENTS" -q "<keyword1>" -q "<keyword2>" --json --max-results 10 --excerpt-max-chars-total 27000 -o "/tmp/$FILENAME.json"
Concrete example for a query about React 19:
parallel-cli search "latest React 19 features and adoption" -q "React 19" -q "concurrent rendering" --json --max-results 10 --excerpt-max-chars-total 27000 -o "/tmp/react-19-features.json"
The first argument is the objective — a natural language description of what you're looking for. It replaces multiple keyword searches with a single call for broad or complex queries. Add -q flags for specific keyword queries to supplement the objective. The -o flag saves the full results to a JSON file for follow-up questions.
Options if needed:
--after-date YYYY-MM-DD for time-sensitive queries--include-domains domain1.com,domain2.com to limit to specific sources--exclude-domains domain.com to filter out noisy sources--mode advanced for harder questions (multi-step, agentic search). Default basic is right for almost everything; only escalate when basic results are insufficient--location us (ISO 3166-1 alpha-2) for geo-targeted resultsDo not set max_output_tokens on the command execution — the output is already bounded by --max-results and --excerpt-max-chars-total. Capping output tokens will truncate the JSON and break parsing.
Prefer reading from the saved -o file, not stdout. Even bounded output regularly exceeds harness stdout limits and gets truncated. Read /tmp/$FILENAME.json for the authoritative payload. For each result, extract:
CRITICAL: Every claim must have an inline citation. Use markdown links like Title pulling only from the JSON output. Never invent or guess URLs.
Synthesize a response that:
End with a Sources section listing every URL referenced:
Sources:
- [Source Title](https://example.com/article) (Feb 2026)
- [Another Source](https://example.com/other) (Jan 2026)
This Sources section is mandatory. Do not omit it.
After the Sources section, mention the output file path (/tmp/$FILENAME.json) so the user knows it's available for follow-up questions.
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.