mirror of
https://github.com/parallel-web/parallel-agent-skills.git
synced 2026-09-14 20:00:25 +08:00
Matt H
81fac4875e
* Add OpenAI Codex plugin support (dual-manifest) Add .codex-plugin/plugin.json manifest and .agents/plugins/marketplace.json for Codex compatibility. Skills directory is shared between both platforms. * Add .agents/skills symlinks for Codex skill discovery Codex scans .agents/skills/ at the repo root for skill auto-discovery. Symlinks point back to the shared skills/ directory so both platforms read the same SKILL.md files. Codex docs confirm symlink support. * Direct agent to read from output file instead of stdout Codex truncates stdout via max_output_tokens on tool calls, so the JSON results get cut off. The -o flag already saves full results to file — instruct the agent to read from there instead. * Tell agent not to cap output tokens on parallel-cli commands The CLI already bounds output via --max-results and --excerpt-max-chars-total. Adding max_output_tokens on the tool call creates a second truncation layer that breaks JSON parsing. * Add Codex installation instructions to README * Fix enrichment skill: add --output to poll command The --target flag on enrich run doesn't carry over to the poll step, so the output CSV was never written. The poll command needs its own --output flag to save results. * Add --json flag to enrich run commands Without --json, the CLI output isn't structured and the interaction_id can't be parsed for multi-turn context chaining.
40 lines
1.4 KiB
JSON
40 lines
1.4 KiB
JSON
{
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"name": "parallel",
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"version": "0.2.0",
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"description": "Parallel Web Search and Task API integration. Provides web search, content extraction, deep research tasks, and data enrichment capabilities.",
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"author": {
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"name": "Parallel Web Systems",
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"email": "support@parallel.ai",
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"url": "https://parallel.ai"
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},
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"homepage": "https://docs.parallel.ai/home",
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"repository": "https://github.com/parallel-web/parallel-agent-skills",
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"license": "MIT",
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"keywords": [
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"web-search",
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"research",
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"data-enrichment",
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"mcp",
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"parallel",
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"ai-tools",
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"content-extraction"
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],
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"skills": "./skills/",
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"interface": {
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"displayName": "Parallel",
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"shortDescription": "Web search, deep research, and data enrichment",
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"longDescription": "AI-native web infrastructure for coding agents. Search the web, extract content from URLs, run deep multi-source research tasks, and bulk-enrich datasets with web-sourced fields — all through the parallel-cli.",
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"developerName": "Parallel Web Systems",
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"category": "Productivity",
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"capabilities": ["Read", "Write"],
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"websiteURL": "https://parallel.ai",
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"privacyPolicyURL": "https://parallel.ai/privacy",
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"termsOfServiceURL": "https://parallel.ai/terms",
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"defaultPrompt": [
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"Search the web for the latest news on a topic",
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"Run deep research on a complex question",
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"Enrich a list of companies with CEO names and funding data"
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]
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}
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}
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