skills/utility/parallel-deep-research/SKILL.md
ONLY use when user explicitly says 'deep research', 'exhaustive', 'comprehensive report', or 'thorough investigation'. Slower and more expensive than parallel-web-search. For normal research/lookup requests, use parallel-web-search instead.
npx skillsauth add michailbul/laniameda-skills parallel-deep-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Research topic: $ARGUMENTS
ONLY use this skill when the user explicitly requests deep/exhaustive research. Deep research is 10-100x slower and more expensive than parallel-web-search. For normal "research X" requests, quick lookups, or fact-checking, use parallel-web-search instead.
parallel-cli research run "$ARGUMENTS" --processor pro-fast --no-wait --json
This returns instantly. Do NOT omit --no-wait — without it the command blocks for minutes and will time out.
Processor options (choose based on user request):
| Processor | Expected latency | Use when |
|-----------|-----------------|----------|
| pro-fast | 30s – 5 min | Default — good balance of depth and speed |
| ultra-fast | 1 – 10 min | Deeper analysis, more sources (~2x cost) |
| ultra | 5 – 25 min | Maximum depth, only when explicitly requested (~3x cost) |
Parse the JSON output to extract the run_id and monitoring URL. Immediately tell the user:
Tell them they can background the polling step to continue working while it runs.
Choose a descriptive filename based on the topic (e.g., ai-chip-market-2026, react-vs-vue-comparison). Use lowercase with hyphens, no spaces.
parallel-cli research poll "$RUN_ID" -o "$FILENAME" --timeout 540
Important:
--timeout 540 (9 minutes) to stay within tool execution limits--json — the full output is large and will flood context. The -o flag writes results to files instead.-o flag generates two output files:
$FILENAME.json — metadata and basis$FILENAME.md — formatted markdown reportHigher processor tiers can take longer than 9 minutes. If the poll exits without completing:
parallel-cli research poll command to continue waitingAfter step 1: Share the monitoring URL (for tracking progress only — it is not the final report).
After step 2:
$FILENAME.md — formatted markdown report$FILENAME.json — metadata and basisDo NOT re-share the monitoring URL after completion — the results are in the files, not at that link.
Ask the user if they would like to read through the files for more detail. Do NOT read the file contents into context unless the user asks.
parallel-cli is not foundIf the command fails with "command not found", stop immediately. Do NOT research the topic yourself, do NOT use any built-in search tools, and do NOT try to answer from your own knowledge. Instead, tell the user:
parallel-cli is not installed/parallel-setup to install itdevelopment
Seedance 2.0 video prompt director. Converts plain-text scene descriptions into production-ready bilingual EN+ZH video prompts optimized for the Seedance 2.0 video generator. Handles all Seedance work — action (combat, pursuit, stunts), general (landscapes, journeys, atmosphere), dialogue (confrontations, negotiations, interrogations), and non-narrative commercial work (ad spots, music videos, fashion films, automotive inserts, product shots, pet/character demos, cutaway montages, social reels for TikTok / Reels / YouTube Shorts). Use whenever the user wants to create a Seedance video prompt, mentions Seedance, or describes a cinematic scene for video generation. For NARRATIVE screenplay-integrated work, use seedance-screenwriter instead.
development
Write Seedance 2.0 prompts in screenplay format for narrative storytelling — when the prompts will be cut into a film, short, or scene. Use whenever you're generating shots that will be edited into a continuous story with dialogue, character beats, scene continuity, or coverage. Pairs with the screenwriter skill — read the scene's screenplay first (or the project's `scene.md` if it exists), then translate each shot into a Seedance prompt that reads as a screenplay page, not as an engineering spec.
documentation
Скилл-инструмент для сценариста полнометражного фильма или сериала. Используй всегда, когда пользователь хочет писать сценарий, поэпизодник, разрабатывать сцены, бит-шит, диалоги, делать ревизии, считать экранное время, резать длину, работать с персонажами или мифологией истории. Скилл работает на основе методологий Макки, Кэмпбелла и Аристотеля, выдаёт Hollywood-формат .docx, поддерживает билингвальные сценарии (диалог на одном языке + перевод в скобках под ним), и помогает аудитировать структуру по причинности и движению ценности. Скилл не привязан к конкретной истории — пользователь приносит свою.
development
Extract shot composition DNA from any car photograph into structured JSON — camera angle, lens, framing, lighting — stripped of car-specific details. Then reuse extracted angles with any car identity to generate new images at scale. Use when: extracting angles from reference photos, building a shot library, batch-analyzing car photography, replicating a great angle with a different car, running extraction pipelines in Freepik or Flora. Triggers: "extract this angle", "steal this composition", "shot DNA", "analyze this car photo", "replicate this shot with my car", "batch extract angles", "car photography analysis", "angle extraction", "build a shot library".