smithery.ai

dd-synthesis

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

First seen Apr 14, 2026

Installation

$ npx skills add https://smithery.ai

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from smithery.ai · top by installs.

npx skills add https://smithery.ai

Browse all from smithery.ai

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,584 B
  • docs SUMMARY.md 200 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

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)

{
  "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