Agent skill
nw-dossier-templates
JSON schemas for Person and Company dossiers, Admiralty Code source rating framework, output format specifications, and executive summary generation guidelines.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/nw-dossier-templates
SKILL.md
Dossier Templates
Admiralty Code Rating System
Rate every data point on two dimensions:
Source Reliability (who provided it):
- A = Completely reliable (official government registry, SEC filing, company's own website)
- B = Usually reliable (established news outlet, Crunchbase, official API)
- C = Fairly reliable (industry blog, review site, community database)
- D = Not usually reliable (unverified social media, anonymous source)
- E = Unreliable (known-inaccurate source)
- F = Cannot be judged (new/unknown source)
Information Credibility (how trustworthy is the specific claim):
- 1 = Confirmed (corroborated by 3+ independent sources)
- 2 = Probably true (corroborated by 2 independent sources)
- 3 = Possibly true (single credible source, consistent with other data)
- 4 = Doubtful (single source, not corroborated, some inconsistency)
- 5 = Improbable (contradicted by other evidence)
- 6 = Cannot be judged (insufficient basis for assessment)
Example ratings: A1 = government filing confirmed by multiple sources | B2 = Crunchbase data corroborated by news | C3 = single blog post, seems plausible | D4 = unverified LinkedIn claim
Person Dossier Schema (JSON)
{
"meta": {
"schema_version": "1.0",
"generated_at": "ISO-8601 datetime",
"generated_by": "nw-business-osint",
"target_type": "person",
"overall_confidence": "high|medium|low",
"data_sources_count": 0,
"knowledge_gaps_count": 0
},
"subject": {
"name": "string",
"current_role": "string",
"current_company": "string",
"location": "string|null",
"email": "string|null",
"rating": "A1-F6"
},
"career_timeline": [
{
"company": "string",
"role": "string",
"start": "YYYY-MM|null",
"end": "YYYY-MM|null|current",
"source": "string",
"rating": "A1-F6"
}
],
"education": [
{
"institution": "string",
"degree": "string|null",
"field": "string|null",
"year": "YYYY|null",
"source": "string",
"rating": "A1-F6"
}
],
"publications": [
{
"title": "string",
"venue": "string",
"year": "YYYY",
"co_authors": ["string"],
"doi": "string|null",
"source": "string",
"rating": "A1-F6"
}
],
"patents": [
{
"title": "string",
"patent_number": "string",
"filing_date": "YYYY-MM-DD",
"co_inventors": ["string"],
"source": "string",
"rating": "A1-F6"
}
],
"speaking_engagements": [
{
"event": "string",
"title": "string|null",
"date": "YYYY-MM|null",
"url": "string|null",
"source": "string",
"rating": "A1-F6"
}
],
"social_presence": {
"linkedin_url": "string|null",
"github": {
"handle": "string|null",
"public_repos": 0,
"top_languages": ["string"],
"organizations": ["string"],
"rating": "A1-F6"
},
"twitter_handle": "string|null",
"personal_website": "string|null"
},
"key_connections": [
{
"name": "string",
"relationship": "string",
"context": "string",
"source": "string",
"rating": "A1-F6"
}
],
"signals": [
{
"type": "string",
"description": "string",
"detected_date": "ISO-8601",
"relevance_score": 0.0,
"source": "string",
"rating": "A1-F6"
}
],
"knowledge_gaps": [
{
"field": "string",
"sources_tried": ["string"],
"result": "string",
"recommendation": "string"
}
],
"compliance": {
"eu_data_subject": true,
"gdpr_lia_applicable": true,
"data_retention_recommendation": "6 months",
"collection_date": "ISO-8601"
}
}
Company Dossier Schema (JSON)
{
"meta": {
"schema_version": "1.0",
"generated_at": "ISO-8601 datetime",
"generated_by": "nw-business-osint",
"target_type": "company",
"overall_confidence": "high|medium|low",
"data_sources_count": 0,
"knowledge_gaps_count": 0
},
"company": {
"name": "string",
"legal_name": "string|null",
"domain": "string|null",
"industry": "string",
"sub_industry": "string|null",
"founded": "YYYY|null",
"hq_location": "string",
"employee_count": "string|null",
"type": "public|private|startup|nonprofit",
"rating": "A1-F6"
},
"financials": {
"revenue": "string|null",
"revenue_source": "string|null",
"funding_total": "number|null",
"last_funding_round": {
"type": "string",
"amount": "number|null",
"date": "YYYY-MM|null",
"lead_investor": "string|null",
"source": "string",
"rating": "A1-F6"
},
"public_filings": [
{
"type": "10-K|10-Q|8-K|DEF14A",
"date": "YYYY-MM-DD",
"url": "string",
"key_findings": "string"
}
]
},
"technology_stack": [
{
"technology": "string",
"category": "string",
"source": "string",
"rating": "A1-F6"
}
],
"leadership": [
{
"name": "string",
"role": "string",
"since": "YYYY|null",
"source": "string",
"rating": "A1-F6"
}
],
"recent_news": [
{
"headline": "string",
"source": "string",
"date": "YYYY-MM-DD",
"url": "string",
"relevance": "string",
"rating": "A1-F6"
}
],
"job_postings_analysis": {
"total_openings_estimate": "number|null",
"top_departments": ["string"],
"tech_mentions": ["string"],
"growth_signals": ["string"],
"source": "string",
"rating": "A1-F6"
},
"competitive_landscape": [
{
"competitor": "string",
"basis": "string",
"source": "string"
}
],
"signals": [],
"risk_factors": ["string"],
"opportunity_indicators": ["string"],
"knowledge_gaps": [],
"compliance": {
"eu_company": true,
"gdpr_applicable": true,
"data_retention_recommendation": "12 months",
"collection_date": "ISO-8601"
}
}
Markdown Dossier Format
# {Subject Name} -- Intelligence Dossier
**Generated**: {date} | **Confidence**: {high/medium/low} | **Sources**: {count}
## Executive Summary
- {Key finding 1 -- most important for the upcoming meeting}
- {Key finding 2}
- {Key finding 3}
- {Signal or recent change worth noting}
- {Knowledge gap or caveat}
## {Sections vary by target type -- Person or Company}
### Current Position
...
### Career Timeline
| Period | Company | Role | Source | Rating |
|--------|---------|------|--------|--------|
### Key Connections
...
### Recent Signals
...
## Knowledge Gaps
| Area | Sources Tried | Result | Recommendation |
|------|--------------|--------|----------------|
## Data Sources
| Source | Data Points | Reliability | Last Accessed |
|--------|------------|-------------|---------------|
## Compliance Note
{EU data subject flag, LIA reference, retention recommendation}
Executive Summary Guidelines
The executive summary is the most-read section. Write 3-5 bullets covering:
- The single most important finding for the meeting context
- Current role and company status (growth, funding, challenges)
- Relevant professional background or expertise
- Recent signals (job change, funding, M&A, hiring surge)
- Biggest knowledge gap or caveat about the data
Keep each bullet to one sentence. Lead with the most actionable insight.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
majiayu000/claude-skill-registry
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
majiayu000/claude-skill-registry
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
majiayu000/claude-skill-registry
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
majiayu000/claude-skill-registry
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
majiayu000/claude-skill-registry
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
majiayu000/claude-skill-registry
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?