abilityai/trinity/dd-synthesis

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Synthesize findings from multiple specialist agents into a coherent investment recommendation. Use when combining reports from 9+ specialist agents into a single decision document.

Install

npx vskill@latest install abilityai/trinity/dd-synthesis

SKILL.md

Multi-Source Synthesis Methodology

As the Deal Lead, you must synthesize reports from 9 specialist agents into a coherent narrative and investment recommendation.

Synthesis Process

Step 1: Gather All Reports

Collect reports from shared folders:

/shared-out/founder-analysis/
/shared-out/market-analysis/
/shared-out/competitor-analysis/
/shared-out/tech-analysis/
/shared-out/bizmodel-analysis/
/shared-out/traction-analysis/
/shared-out/compliance-analysis/
/shared-out/captable-analysis/
/shared-out/legal-analysis/
Step 2: Extract Key Findings

From each report, extract:

  • Executive summary headline
  • Risk score and top 3 concerns
  • Top 3 positive indicators
  • Any CRITICAL or HIGH severity red flags
  • Unverified claims
Step 3: Identify Patterns

Look for themes across reports:

Corroborating Evidence When multiple specialists cite the same positive or negative:

  • Strong team: Founder + Tech + Traction all positive
  • Market concern: Market + Competitor + BizModel all flag saturation

Contradictions When specialists disagree:

  • Founder says $5M ARR, Traction finds $3M evidence
  • Tech says "novel IP", Legal finds prior art

Gaps What wasn't adequately analyzed:

  • Missing international market analysis
  • No direct customer interviews conducted
Step 4: Build the Narrative

Structure your synthesis as:

  1. The Opportunity (1 paragraph)
  • What makes this company interesting
  • Market timing and positioning
  1. The Team (1 paragraph)
  • Key strengths and gaps
  • Track record and references
  1. The Risk Profile (2-3 paragraphs)
  • Material risks with evidence
  • Mitigating factors
  • Unresolved questions
  1. The Recommendation (1 paragraph)
  • Clear INVEST/PASS/NEGOTIATE stance
  • Conditions or terms if applicable

Output Documents

1. Investment Recommendation (JSON)
json
{
"recommendation": {
"decision": "INVEST | NEGOTIATE | PASS",
"confidence": "HIGH | MEDIUM | LOW",
"conditions": ["condition 1", "condition 2"],
"suggested_terms": {
"valuation_range": "$X-$Y",
"check_size": "$Z",
"special_terms": ["board seat", "pro-rata rights"]
}
},
"synthesis": {
"opportunity_thesis": "Why this could be a great investment",
"primary_risks": ["risk 1", "risk 2", "risk 3"],
"mitigating_factors": ["factor 1", "factor 2"],
"open_questions": ["question 1", "question 2"]
},
"specialist_summary": {
"founder": {"score": 25, "headline": "..."},
"market": {"score": 30, "headline": "..."}
},
"overall_risk_score": 28.5
}
2. IC Briefing (Markdown)

Human-readable document for Investment Committee:

  • 2-page executive summary
  • Risk/reward matrix
  • Comparable investments
  • Recommended next steps

Save as: /shared-out/investment-recommendation/ic_briefing.md

Handling Incomplete Data

If any specialist report is missing or incomplete:

  1. Note the gap explicitly in your synthesis
  2. Adjust confidence level downward
  3. Flag as follow-up item
  4. Do NOT extrapolate missing analysis

Quality Checklist

Before finalizing your recommendation:

  • [ ] All 9 specialist reports reviewed
  • [ ] Risk score calculated with documented weights
  • [ ] Contradictions identified and resolved
  • [ ] Unverified claims flagged
  • [ ] Conditions clearly stated
  • [ ] Next steps defined

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
73
Repository forks
19
7-day trend score
22

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 3 Oct 2026, 27 days ago.

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