Skill: michaelfanous2/nyne-deep-research (version 1.0.0)

--- name: nyne-deep-research description: > Research any person using the Nyne Deep Research API. Submit an email, phone, social URL, or name and receive a comprehensive intelligence dossier with psychographic profile, social graph, career analysis, conversation starters, and approach strategy. Async with 2-5 min processing. --- # Nyne Deep Research Skill Research any person by email, phone, social URL, or name. Returns a comprehensive intelligence dossier with psychographic profile, social graph, career analysis, conversation starters, and approach strategy. **Important:** This API is async with high latency (2-5 min processing). You submit a request, get a `request_id`, then poll until complete. ## Agent Instructions When presenting results to the user, show **maximum depth** — display every section of the dossier in full. Do not summarize or truncate. Walk through each section sequentially: 1. **Identity Snapshot** — who they are 2. **Career DNA** — trajectory and superpower 3. **Psychographic Profile** — values, motivations, archetypes 4. **Personal Life & Hobbies** — interests outside work 5. **Social Graph Analysis** — inner circle, professional network, interest graph 6. **Interest Cluster Deep Dive** — all 9 clusters with detail 7. **Content & Voice Analysis** — topics, tone, opinions, quotes 8. **Key Relationships** — full list with relationship nature and importance 9. **Conversation Starters** — all 4 hook categories 10. **Recommendations / How Others See Them** — reputation signals 11. **Warnings & Landmines** — topics to avoid, sensitivities 12. **Creepy-Good Insights** — non-obvious findings with evidence 13. **Approach Strategy** — best angle, topics, what not to do Also include `enrichment` data (contact info, work history, education) and note whether `following` and `articles` sections have data. If `dossier` is null, present the `enrichment` data and let the user know the full dossier was not generated (this can happen with duplicate or cached requests — resubmit with a different identifier). If `following` or `articles` are null, simply note they were not available for this person. ## Setup **Required environment variables:** - `NYNE_API_KEY` — your Nyne API key - `NYNE_API_SECRET` — your Nyne API secret Get credentials at [https://api.nyne.ai](https://api.nyne.ai). Set these in your shell before running any commands: ```bash export NYNE_API_KEY="your-api-key" export NYNE_API_SECRET="your-api-secret" ``` To persist across sessions, add the exports to your shell profile (`~/.zshrc`, `~/.bashrc`, etc.) or create a `.env` file and source it: ```bash # Create .env file (keep out of version control) echo 'export NYNE_API_KEY="your-api-key"' >> ~/.nyne_env echo 'export NYNE_API_SECRET="your-api-secret"' >> ~/.nyne_env source ~/.nyne_env ``` Verify they're set: ```bash echo "Key: ${NYNE_API_KEY:0:8}... [REDACTED_SECRET]" ``` ## Important: JSON Handling The API response can contain control characters in JSON string values that break `jq`. All examples below use a `nyne_parse` helper that pipes through `python3` to clean and re-encode the JSON before passing to `jq`. Define it once per session: ```bash nyne_parse() { python3 -c " import sys, json, re raw = sys.stdin.read() clean = re.sub(r'[\x00-\x1f]+', ' ', raw) data = json.loads(clean) json.dump(data, sys.stdout) " } ``` ## Quick Start Submit a research request by email and poll until complete: ```bash # Define helper (strips control chars, re-encodes clean JSON) nyne_parse() { python3 -c " import sys, json, re raw = sys.stdin.read() clean = re.sub(r'[\x00-\x1f]+', ' ', raw) data = json.loads(clean) json.dump(data, sys.stdout) " } # Submit research request REQUEST_ID=$(curl -s -X POST "https://api.nyne.ai/person/deep-research" \ -H "Content-Type: application/json" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" \ -d '{"email": "[REDACTED_SECRET]"}' | nyne_parse | jq -r '.data.request_id') echo "Request submitted: $REQUEST_ID" # Poll until complete (checks every 5s, times out after 10 min) SECONDS_WAITED=0 while [ $SECONDS_WAITED -lt 600 ]; do curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" | nyne_parse > /tmp/nyne_response.json STATUS=$(jq -r '.data.status' /tmp/nyne_response.json) echo "Status: $STATUS ($SECONDS_WAITED seconds elapsed)" if [ "$STATUS" = "completed" ]; then jq '.data.result' /tmp/nyne_response.json break elif [ "$STATUS" = "failed" ]; then echo "Research failed." jq . /tmp/nyne_response.json break fi sleep 5 SECONDS_WAITED=$((SECONDS_WAITED + 5)) done if [ $SECONDS_WAITED -ge 600 ]; then echo "Timed out after 10 minutes. Try polling manually with request_id: $REQUEST_ID" fi ``` ## Submit Research (POST) **Endpoint:** `POST https://api.nyne.ai/person/deep-research` **Headers:** ``` Content-Type: application/json X-[REDACTED_SECRET] X-API-[REDACTED_SECRET] ``` **Parameters:** | Parameter | Type | Description | |-----------|------|-------------| | `email` | string | Email address | | `phone` | string | Phone number | | `social_media_url` | string or array | Social profile URL(s), up to 3 | | `name` | string | Full name (use with `company` or `city` for disambiguation) | | `company` | string | Company name (helps disambiguate `name`) | | `city` | string | City (helps disambiguate `name`) | | `callback_url` | string | Webhook URL to POST results when complete | At least one identifier is required: `email`, `phone`, `social_media_url`, or `name` with `company`/`city`. ### Examples **By email:** ```bash curl -s -X POST "https://api.nyne.ai/person/deep-research" \ -H "Content-Type: application/json" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" \ -d '{"email": "[REDACTED_SECRET]"}' | nyne_parse | jq . ``` **By social media URL:** ```bash curl -s -X POST "https://api.nyne.ai/person/deep-research" \ -H "Content-Type: application/json" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" \ -d '{"social_media_url": "https://twitter.com/elonmusk"}' | nyne_parse | jq . ``` **By multiple social URLs:** ```bash curl -s -X POST "https://api.nyne.ai/person/deep-research" \ -H "Content-Type: application/json" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" \ -d '{"social_media_url": ["https://twitter.com/elonmusk", "https://linkedin.com/in/elonmusk"]}' | nyne_parse | jq . ``` **By name + company:** ```bash curl -s -X POST "https://api.nyne.ai/person/deep-research" \ -H "Content-Type: application/json" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" \ -d '{"name": "Jane Smith", "company": "Acme Corp"}' | nyne_parse | jq . ``` **By phone:** ```bash curl -s -X POST "https://api.nyne.ai/person/deep-research" \ -H "Content-Type: application/json" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" \ -d '{"phone": "+14155551234"}' | nyne_parse | jq . ``` **Submit response (HTTP 202):** ```json { "success": true, "data": { "request_id": "abc123-def456-...", "status": "pending" } } ``` ## Poll for Results (GET) **Endpoint:** `GET https://api.nyne.ai/person/deep-research?request_id={id}` **Headers:** Same `X-API-Key` and `X-API-Secret` as above. **Status progression:** `pending` → `enriching` → `gathering` → `analyzing` → `completed` (or `failed`) This typically takes 2-3 minutes. ### Check status once ```bash curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" | nyne_parse | jq '{status: .data.status, completed: .data.completed}' ``` ### Full polling loop ```bash SECONDS_WAITED=0 TIMEOUT=600 # 10 minutes while [ $SECONDS_WAITED -lt $TIMEOUT ]; do curl -s "https://api.nyne.ai/person/deep-research?request_id=$REQUEST_ID" \ -H "X-[REDACTED_SECRET]" \ -H "X-API-[REDACTED_SECRET]" | nyne_parse > /tmp/nyne_response.json STATUS=$(jq -r '.data.status' /tmp/nyne_response.json) echo "[$(date +%H:%M:%S)] Status: $STATUS ($SECONDS_WAITED s)" case "$STATUS" in completed) jq '.data.result' /tmp/nyne_response.json break ;; failed) echo "Research failed:" jq '.data' /tmp/nyne_response.json break ;; *) sleep 5 SECONDS_WAITED=$((SECONDS_WAITED + 5)) ;; esac done if [ "$STATUS" != "completed" ] && [ "$STATUS" != "failed" ]; then echo "Timed out. Resume polling with request_id: $REQUEST_ID" fi ``` ## Response Structure When `status` is `completed`, the response looks like: ```json { "success": true, "timestamp": "2025-01-15T12:00:00Z", "data": { "status": "completed", "completed": true, "request_id": "abc123-...", "created_on": "2025-01-15T11:57:00Z", "completed_on": "2025-01-15T12:00:00Z", "result": { "enrichment": { ... }, "dossier": { ... }, "following": { ... }, "articles": [ ... ] } } } ``` ### `result` sections | Section | Description | |---------|-------------| | `enrichment` | Contact info, social profiles, bio, schools, work history (20+ keys) | | `dossier` | The main intelligence output — 15 sections (see below) | | `following` | Twitter/Instagram following data (can be null) | | `articles` | Press and media mentions (can be null) | ## Dossier Sections Reference The `dossier` object contains 15 sections: ### `identity_snapshot` Top-level identity summary. - `full_name`, `current_role`, `company`, `location`, `age_estimate`, `emails`, `social_profiles`, `headline`, `birthday`, `self_description` ### `career_dna` Career trajectory and strengths. - `trajectory`, `superpower` ### `psychographic_profile` Values, motivations, and personality archetypes. - `values`, `motivations`, `archetypes`, `political_leanings`, `cluster_analysis` ### `personal_life_hobbies` Interests and personality outside of work. - `life_outside_work`, `entertainment_culture`, `personal_passions`, `active_hobbies_sports`, `quirks_personality` ### `social_graph_analysis` Network and relationship mapping. - `inner_circle`, `professional_network`, `personal_interest_graph` ### `interest_cluster_deep_dive` Deep analysis across 9 interest clusters. - `tech`, `sports_fitness`, `music_entertainment`, `food_lifestyle`, `causes_politics`, `intellectual_interests`, `geographic_ties`, `personal_network`, `unexpected_surprising` ### `content_voice_analysis` How they communicate and what they care about. - `topics`, `tone`, `humor_style`, `strong_opinions`, `frustrations`, `notable_quotes`, `recent_wins` ### `content_analysis` Alias of `content_voice_analysis` (kept for backward compatibility). ### `key_relationships` List of ~25 objects describing important connections. - Each: `name`, `handle`, `followers`, `relationship_nature`, `why_important` ### `key_influencers` Alias of `key_relationships`. ### `conversation_starters` Hooks to open conversation, in 4 categories. - `professional_hooks`, `personal_interest_hooks`, `current_events_hooks`, `shared_experience_hooks` ### [REDACTED_SECRET] Public perception and reputation signals. - `highlighted_qualities`, `colleague_descriptions`, `patterns_in_praise` ### `warnings_landmines` Topics and areas to avoid. - `topics_to_avoid`, `political_hot_buttons`, `sensitive_career_history`, `competitors_they_dislike` ### `creepy_good_insights` Non-obvious insights derived from data. - List of objects: `insight`, `evidence` ### `approach_strategy` How to approach this person. - `best_angle`, `topics_that_resonate`, `personal_interests_to_reference`, `shared_connections`, `what_not_to_do` ## Useful jq Filters After polling completes, the clean response is at `/tmp/nyne_response.json`. Use `jq` directly on the file: ```bash # Extract identity snapshot jq '.data.result.dossier.identity_snapshot' /tmp/nyne_response.json # Get all conversation starters jq '.data.result.dossier.conversation_starters' /tmp/nyne_response.json # List key relationships (name + why important) jq '.data.result.dossier.key_relationships[] | {name, why_important}' /tmp/nyne_response.json # Get approach strategy jq '.data.result.dossier.approach_strategy' /tmp/nyne_response.json # Extract a specific dossier section by name jq --arg s "psychographic_profile" '.data.result.dossier[$s]' /tmp/nyne_response.json # Get enrichment contact info jq '.data.result.enrichment | {emails, phones, linkedin_url, twitter_url}' /tmp/nyne_response.json # Check processing status only jq '{status: .data.status, completed: .data.completed, request_id: .data.request_id}' /tmp/nyne_response.json # Get warnings and landmines jq '.data.result.dossier.warnings_landmines' /tmp/nyne_response.json # List all creepy-good insights jq '.data.result.dossier.creepy_good_insights[].insight' /tmp/nyne_response.json ``` ## Error Handling | HTTP Code | Error | Description | |-----------|-------|-------------| | 400 | `INVALID_PARAMETERS` | Malformed request body | | 400 | `MISSING_PARAMETER` | No identifier provided (need email, phone, social_media_url, or name+company/city) | | 401 | `AUTHENTICATION_FAILED` | Invalid or missing API key/secret | | 402 | `INSUFFICIENT_CREDITS` | Not enough credits (100 credits per request) | | 403 | `NO_ACTIVE_SUBSCRIPTION` | Subscription required | | 403 | `ACCESS_DENIED` | Account does not have access | | 429 | `RATE_LIMIT_EXCEEDED` | Too many requests | | 500 | `QUEUE_ERROR` | Internal processing error | ## Rate Limits & Costs - **Rate limits:** 10 requests/minute, 100 requests/hour - **Cost:** 100 credits per research request - **Processing time:** Typically 2-3 minutes, up to 5 minutes


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: suspicious (CRITICAL)