mirror of
https://github.com/NousResearch/hermes-agent.git
synced 2026-04-26 01:01:40 +00:00
docs(website): dedicated page per bundled + optional skill (#14929)
Generates a full dedicated Docusaurus page for every one of the 132 skills
(73 bundled + 59 optional) under website/docs/user-guide/skills/{bundled,optional}/<category>/.
Each page carries the skill's description, metadata (version, author, license,
dependencies, platform gating, tags, related skills cross-linked to their own
pages), and the complete SKILL.md body that Hermes loads at runtime.
Previously the two catalog pages just listed skills with a one-line blurb and
no way to see what the skill actually did — users had to go read the source
repo. Now every skill has a browsable, searchable, cross-linked reference in
the docs.
- website/scripts/generate-skill-docs.py — generator that reads skills/ and
optional-skills/, writes per-skill pages, regenerates both catalog indexes,
and rewrites the Skills section of sidebars.ts. Handles MDX escaping
(outside fenced code blocks: curly braces, unsafe HTML-ish tags) and
rewrites relative references/*.md links to point at the GitHub source.
- website/docs/reference/skills-catalog.md — regenerated; each row links to
the new dedicated page.
- website/docs/reference/optional-skills-catalog.md — same.
- website/sidebars.ts — Skills section now has Bundled / Optional subtrees
with one nested category per skill folder.
- .github/workflows/{docs-site-checks,deploy-site}.yml — run the generator
before docusaurus build so CI stays in sync with the source SKILL.md files.
Build verified locally with `npx docusaurus build`. Only remaining warnings
are pre-existing broken link/anchor issues in unrelated pages.
This commit is contained in:
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---
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title: "Parallel Cli"
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sidebar_label: "Parallel Cli"
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description: "Optional vendor skill for Parallel CLI — agent-native web search, extraction, deep research, enrichment, FindAll, and monitoring"
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---
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{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
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# Parallel Cli
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Optional vendor skill for Parallel CLI — agent-native web search, extraction, deep research, enrichment, FindAll, and monitoring. Prefer JSON output and non-interactive flows.
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## Skill metadata
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| | |
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|---|---|
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| Source | Optional — install with `hermes skills install official/research/parallel-cli` |
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| Path | `optional-skills/research/parallel-cli` |
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| Version | `1.1.0` |
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| Author | Hermes Agent |
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| License | MIT |
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| Tags | `Research`, `Web`, `Search`, `Deep-Research`, `Enrichment`, `CLI` |
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| Related skills | [`duckduckgo-search`](/docs/user-guide/skills/optional/research/research-duckduckgo-search), [`mcporter`](/docs/user-guide/skills/optional/mcp/mcp-mcporter) |
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## Reference: full SKILL.md
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:::info
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The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.
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:::
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# Parallel CLI
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Use `parallel-cli` when the user explicitly wants Parallel, or when a terminal-native workflow would benefit from Parallel's vendor-specific stack for web search, extraction, deep research, enrichment, entity discovery, or monitoring.
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This is an optional third-party workflow, not a Hermes core capability.
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Important expectations:
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- Parallel is a paid service with a free tier, not a fully free local tool.
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- It overlaps with Hermes native `web_search` / `web_extract`, so do not prefer it by default for ordinary lookups.
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- Prefer this skill when the user mentions Parallel specifically or needs capabilities like Parallel's enrichment, FindAll, or monitor workflows.
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`parallel-cli` is designed for agents:
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- JSON output via `--json`
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- Non-interactive command execution
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- Async long-running jobs with `--no-wait`, `status`, and `poll`
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- Context chaining with `--previous-interaction-id`
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- Search, extract, research, enrichment, entity discovery, and monitoring in one CLI
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## When to use it
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Prefer this skill when:
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- The user explicitly mentions Parallel or `parallel-cli`
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- The task needs richer workflows than a simple one-shot search/extract pass
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- You need async deep research jobs that can be launched and polled later
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- You need structured enrichment, FindAll entity discovery, or monitoring
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Prefer Hermes native `web_search` / `web_extract` for quick one-off lookups when Parallel is not specifically requested.
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## Installation
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Try the least invasive install path available for the environment.
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### Homebrew
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```bash
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brew install parallel-web/tap/parallel-cli
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```
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### npm
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```bash
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npm install -g parallel-web-cli
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```
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### Python package
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```bash
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pip install "parallel-web-tools[cli]"
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```
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### Standalone installer
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```bash
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curl -fsSL https://parallel.ai/install.sh | bash
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```
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If you want an isolated Python install, `pipx` can also work:
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```bash
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pipx install "parallel-web-tools[cli]"
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pipx ensurepath
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```
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## Authentication
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Interactive login:
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```bash
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parallel-cli login
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```
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Headless / SSH / CI:
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```bash
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parallel-cli login --device
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```
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API key environment variable:
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```bash
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export PARALLEL_API_KEY="***"
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```
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Verify current auth status:
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```bash
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parallel-cli auth
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```
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If auth requires browser interaction, run with `pty=true`.
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## Core rule set
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1. Always prefer `--json` when you need machine-readable output.
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2. Prefer explicit arguments and non-interactive flows.
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3. For long-running jobs, use `--no-wait` and then `status` / `poll`.
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4. Cite only URLs returned by the CLI output.
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5. Save large JSON outputs to a temp file when follow-up questions are likely.
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6. Use background processes only for genuinely long-running workflows; otherwise run in foreground.
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7. Prefer Hermes native tools unless the user wants Parallel specifically or needs Parallel-only workflows.
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## Quick reference
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```text
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parallel-cli
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├── auth
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├── login
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├── logout
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├── search
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├── extract / fetch
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├── research run|status|poll|processors
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├── enrich run|status|poll|plan|suggest|deploy
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├── findall run|ingest|status|poll|result|enrich|extend|schema|cancel
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└── monitor create|list|get|update|delete|events|event-group|simulate
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```
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## Common flags and patterns
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Commonly useful flags:
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- `--json` for structured output
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- `--no-wait` for async jobs
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- `--previous-interaction-id <id>` for follow-up tasks that reuse earlier context
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- `--max-results <n>` for search result count
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- `--mode one-shot|agentic` for search behavior
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- `--include-domains domain1.com,domain2.com`
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- `--exclude-domains domain1.com,domain2.com`
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- `--after-date YYYY-MM-DD`
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Read from stdin when convenient:
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```bash
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echo "What is the latest funding for Anthropic?" | parallel-cli search - --json
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echo "Research question" | parallel-cli research run - --json
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```
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## Search
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Use for current web lookups with structured results.
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```bash
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parallel-cli search "What is Anthropic's latest AI model?" --json
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parallel-cli search "SEC filings for Apple" --include-domains sec.gov --json
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parallel-cli search "bitcoin price" --after-date 2026-01-01 --max-results 10 --json
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parallel-cli search "latest browser benchmarks" --mode one-shot --json
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parallel-cli search "AI coding agent enterprise reviews" --mode agentic --json
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```
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Useful constraints:
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- `--include-domains` to narrow trusted sources
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- `--exclude-domains` to strip noisy domains
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- `--after-date` for recency filtering
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- `--max-results` when you need broader coverage
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If you expect follow-up questions, save output:
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```bash
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parallel-cli search "latest React 19 changes" --json -o /tmp/react-19-search.json
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```
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When summarizing results:
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- lead with the answer
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- include dates, names, and concrete facts
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- cite only returned sources
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- avoid inventing URLs or source titles
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## Extraction
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Use to pull clean content or markdown from a URL.
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```bash
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parallel-cli extract https://example.com --json
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parallel-cli extract https://company.com --objective "Find pricing info" --json
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parallel-cli extract https://example.com --full-content --json
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parallel-cli fetch https://example.com --json
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```
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Use `--objective` when the page is broad and you only need one slice of information.
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## Deep research
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Use for deeper multi-step research tasks that may take time.
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Common processor tiers:
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- `lite` / `base` for faster, cheaper passes
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- `core` / `pro` for more thorough synthesis
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- `ultra` for the heaviest research jobs
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### Synchronous
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```bash
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parallel-cli research run \
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"Compare the leading AI coding agents by pricing, model support, and enterprise controls" \
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--processor core \
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--json
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```
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### Async launch + poll
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```bash
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parallel-cli research run \
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"Compare the leading AI coding agents by pricing, model support, and enterprise controls" \
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--processor ultra \
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--no-wait \
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--json
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parallel-cli research status trun_xxx --json
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parallel-cli research poll trun_xxx --json
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parallel-cli research processors --json
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```
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### Context chaining / follow-up
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```bash
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parallel-cli research run "What are the top AI coding agents?" --json
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parallel-cli research run \
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"What enterprise controls does the top-ranked one offer?" \
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--previous-interaction-id trun_xxx \
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--json
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```
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Recommended Hermes workflow:
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1. launch with `--no-wait --json`
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2. capture the returned run/task ID
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3. if the user wants to continue other work, keep moving
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4. later call `status` or `poll`
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5. summarize the final report with citations from the returned sources
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## Enrichment
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Use when the user has CSV/JSON/tabular inputs and wants additional columns inferred from web research.
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### Suggest columns
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```bash
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parallel-cli enrich suggest "Find the CEO and annual revenue" --json
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```
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### Plan a config
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```bash
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parallel-cli enrich plan -o config.yaml
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```
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### Inline data
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```bash
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parallel-cli enrich run \
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--data '[{"company": "Anthropic"}, {"company": "Mistral"}]' \
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--intent "Find headquarters and employee count" \
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--json
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```
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### Non-interactive file run
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```bash
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parallel-cli enrich run \
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--source-type csv \
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--source companies.csv \
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--target enriched.csv \
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--source-columns '[{"name": "company", "description": "Company name"}]' \
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--intent "Find the CEO and annual revenue"
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```
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### YAML config run
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```bash
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parallel-cli enrich run config.yaml
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```
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### Status / polling
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```bash
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parallel-cli enrich status <task_group_id> --json
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parallel-cli enrich poll <task_group_id> --json
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```
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Use explicit JSON arrays for column definitions when operating non-interactively.
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Validate the output file before reporting success.
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## FindAll
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Use for web-scale entity discovery when the user wants a discovered dataset rather than a short answer.
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```bash
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parallel-cli findall run "Find AI coding agent startups with enterprise offerings" --json
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parallel-cli findall run "AI startups in healthcare" -n 25 --json
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parallel-cli findall status <run_id> --json
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parallel-cli findall poll <run_id> --json
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parallel-cli findall result <run_id> --json
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parallel-cli findall schema <run_id> --json
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```
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This is a better fit than ordinary search when the user wants a discovered set of entities that can be reviewed, filtered, or enriched later.
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## Monitor
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Use for ongoing change detection over time.
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```bash
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parallel-cli monitor list --json
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parallel-cli monitor get <monitor_id> --json
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parallel-cli monitor events <monitor_id> --json
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parallel-cli monitor delete <monitor_id> --json
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```
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Creation is usually the sensitive part because cadence and delivery matter:
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```bash
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parallel-cli monitor create --help
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```
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Use this when the user wants recurring tracking of a page or source rather than a one-time fetch.
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## Recommended Hermes usage patterns
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### Fast answer with citations
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1. Run `parallel-cli search ... --json`
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2. Parse titles, URLs, dates, excerpts
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3. Summarize with inline citations from the returned URLs only
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### URL investigation
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1. Run `parallel-cli extract URL --json`
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2. If needed, rerun with `--objective` or `--full-content`
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3. Quote or summarize the extracted markdown
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### Long research workflow
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1. Run `parallel-cli research run ... --no-wait --json`
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2. Store the returned ID
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3. Continue other work or periodically poll
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4. Summarize the final report with citations
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### Structured enrichment workflow
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1. Inspect the input file and columns
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2. Use `enrich suggest` or provide explicit enriched columns
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3. Run `enrich run`
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4. Poll for completion if needed
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5. Validate the output file before reporting success
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## Error handling and exit codes
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The CLI documents these exit codes:
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- `0` success
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- `2` bad input
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- `3` auth error
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- `4` API error
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- `5` timeout
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If you hit auth errors:
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1. check `parallel-cli auth`
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2. confirm `PARALLEL_API_KEY` or run `parallel-cli login` / `parallel-cli login --device`
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3. verify `parallel-cli` is on `PATH`
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## Maintenance
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Check current auth / install state:
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```bash
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parallel-cli auth
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parallel-cli --help
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```
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Update commands:
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```bash
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parallel-cli update
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pip install --upgrade parallel-web-tools
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parallel-cli config auto-update-check off
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```
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## Pitfalls
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- Do not omit `--json` unless the user explicitly wants human-formatted output.
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- Do not cite sources not present in the CLI output.
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- `login` may require PTY/browser interaction.
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- Prefer foreground execution for short tasks; do not overuse background processes.
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- For large result sets, save JSON to `/tmp/*.json` instead of stuffing everything into context.
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- Do not silently choose Parallel when Hermes native tools are already sufficient.
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- Remember this is a vendor workflow that usually requires account auth and paid usage beyond the free tier.
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Loading…
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