executive-summary
Compress complex input into one page: recommendation first, then the supporting case.
Skill by poorvith-mp
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Files it touches
~/.claude/skills/executive-summary
What's inside
- Skill name
executive-summary- Description
- Compress complex input into one page: recommendation first, then the supporting case. Use when condensing complex reports, briefings, or proposals for leaders.
- License
- MIT
- Instructions
- 89 lines in SKILL.md · view on GitHub
Files (3)
- SKILL.md
- routing.yaml · evals/
- executive-summary.skill
SKILL.md (first lines)
# executive-summary
## Core Philosophy
Senior executives, board members, and technical leaders do not read 40-page reports line by line. They read under extreme cognitive load, scanning for bottom-line implications, operational trade-offs, and critical decisions. An executive summary is not an introductory abstract; it is a high-density, 1-page synthesis structured around the **Minto Pyramid Principle**: lead with the bottom-line recommendation first, followed by the supporting business rationale, financial impact, and immediate next decisions.
---
## 4-Step Executive Synthesis Framework
### Step 1: The Minto Pyramid Architecture (Answer First)
1. **Inverted Hierarchy**:
- *Level 1: The Governing Conclusion (Headline & Recommendation)*: State the proposed action in the first 2 sentences.
- *Level 2: Core Supporting Pillars (3 Max)*: The primary strategic arguments justifying the decision.
- *Level 3: Hard Data & Operational Evidence*: Metrics, financial ROI, risk mitigations.
2. **The "So What?" Filter**:
- Every paragraph must pass the executive test: *"Why does the CFO or CEO care about this specific detail right now?"* If it doesn't impact revenue, risk, or strategic roadmap, cut it.
### Step 2: The 1-Page Layout Discipline (Under 500 Words)
1. **Visual Density & Typography**:
- Maximum 1 page (400–500 words).
- Use bold lead-in phrases for bullet points to enable 15-second scanning.
- Eliminate academic throat-clearing ("This document serves to analyze...").
### Step 3: Financial & Operational Trade-Off Table
1. **Decision Matrix Comparison**:
- Provide a concise comparison table contrasting: Proposed Option vs Status Quo vs Primary Alternative.
- Include hard estimates for: Total Cost, Implementation Time, Net Value/Savings, Key Risks.
### Step 4: Clear Decision Gate & Immediate Next Steps
1. **Explicit Asks**:
- End with the exact decision required:
- *"Required Decision: Approve $140,000 capital expenditure allocation for AWS dedicated migration."*
- *"Sign-off required from: CTO and CFO by Friday, 5:00 PM."*
---
## Deliverable Format: Executive Decision Memo (`EXECUTIVE-SUMMARY.md`)
```markdown
# Executive Decision Memorandum: [Initiative Name]
*Date: [YYYY-MM-DD] | Author: [Name, Title] | Target Reviewers: [Exec Team / Board]*
## 1. Recommendation (Answer First)
We recommend **migrating our core analytics cluster from Snowflake to a self-hosted ClickHouse instance on AWS EC2**. This will reduce annual infrastructure expenses by **$420,000 (68%)** while cutting query response times from 4.2 seconds to 340 milliseconds, with a 6-week engineering transition.
## 2. Key Business Drivers
- **Cost Reduction**: Eliminates unpredictable Snowflake compute credit spikes; saves $35,000/month in baseline queries.
- **Performance Unlock**: Sub-second analytics enables real-time user-facing dashboards, unlocking enterprise Tier-3 upsells.
- **Data Sovereignty**: Keeps all raw customer event telemetry inside our private VPC, resolving enterprise EU customer compliance blockers.
## 3. Options Comparison Matrix
| Option | Upfront Engineering | Annual Ongoing Cost | Query Latency (p95) | Risk Profile |
|---|---|---|---|---|
| **ClickHouse (Recommended)** | 6 Weeks ($45k dev time) | $180,000 / year | 340ms | Managed cluster maintenance |
| Status Quo (Snowflake) | 0 Weeks | $600,000 / year | 4,200ms | Rapidly escalating costs |
| Alternative (BigQuery) | 4 Weeks | $410,000 / year | 1,800ms | Egress fees; high concurrency costs |
## 4. Required Executive Decision
- **Sign-off Requested**: Approval to commit 2 staff backend engineers for Sprint 14–16.
- **Decision Deadline**: [Date, Time] to begin migration before Q4 volume surge.
```
---
## Worked Example: Infrastructure Migration Executive Memo
- **Context**: Engineering team needed $120,000 approval to replace a failing proprietary message queue.
- **Execution**: Rewrote a 25-page technical spec into a 1-page Minto Pyramid executive memo highlighting $300,000 in prevented downtime losses.
- **Outcome**: Unanimous executive approval granted in 15 minutes during Monday leadership sync.
---
## Verification Checklist
- [ ] Core recommendation and business impact are stated in the very first paragraph.
- [ ] Total word count is under 500 words and fits strictly on 1 printable page.
- [ ] Includes a financial/operational options comparison table.
- [ ] All claims are backed by hard numbers, percentages, or dollar figures.
- [ ] Concludes with an explicit decision ask and deadline.
---
## Anti-Patterns
- **Burying the Lede**: Writing 4 pages of background history before revealing the actual recommendation on page 5.
- **Technical Jargon Dumps**: Explaining low-level Linux kernel parameters to a CFO instead of financial ROI.
- **Vague Asks**: Ending with "Thoughts?" instead of requesting specific sign-off on a clear decision.From poorvith-mp/skills-writing, MIT.
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Signals
- Stars
- 0
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Sep 12, 2026 (1 month ago)
- Last release
- Oct 2, 2026 (26 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/poorvith-mp/skills-writing
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
executive-summary skill. Agent Mart. https://agentmart.dev/skills/poorvith-mp-executive-summary (last updated 2026-10-24)