board-deck-generator

board-deck-generator is a skill for Claude Code, Codex from OneWave-AI/claude-skills. It costs 70 tokens per session (623 once invoked), scanned A, original, MIT.

A tool for preparing written board-meeting materials, usually a presentation for company directors and investors. It organizes company performance, progress, problems, and decisions that need board input.

In plain words
What is it for?
Use it for quarterly board updates, early-stage or growth-stage reviews, pre-IPO reporting, financial summaries, product updates, sales and marketing metrics, hiring plans, and requests for board decisions.
Why use it?
It turns scattered business updates and financial information into a consistent board-deck document. Missing nonessential details can be marked for later completion.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: model in frontmatter.

Good fit Use it for quarterly board updates, early-stage or growth-stage reviews, pre-IPO reporting, financial summaries, product updates, sales and marketing metrics, hiring plans, and requests for board decisions.

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Install with agentmods
npx agentmods add skills/onewave-ai/claude-skills/board-deck-generator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OneWave-AI/claude-skills --skill board-deck-generator
Clone the repo
git clone --depth 1 https://github.com/OneWave-AI/claude-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for board-deck-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/onewave-ai/claude-skills/board-deck-generator/github.svg)](https://agentmods.dev/skills/onewave-ai/claude-skills/board-deck-generator)
Your own site
<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/board-deck-generator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/board-deck-generator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for board-deck-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/onewave-ai/claude-skills/board-deck-generator"><img src="https://agentmods.dev/badge/skills/onewave-ai/claude-skills/board-deck-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 623 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00070 $0.00623
Opus 5 $0.00035 $0.00311
Sonnet 5 $0.00014 $0.00125
Haiku 4.5 $0.00007 $0.00062

Measured 12d ago against content hash 3a0e62b9839e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

board-deck-generator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

board-deck-generator/SKILL.md · 43 lines

How it starts

The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Board Deck Generator

Generate institutional-quality board-deck.md content: concise, data-driven, honest about challenges, and focused on the decisions that need board input. Output must be ready for a CEO to present directly or hand to a design team for slide conversion.

Contents

  • references/document-structure.md -- The required 12-section deck structure with all tables and templates.
  • references/stage-templates.md -- Early-stage, growth-stage, and pre-IPO emphasis and per-section additions.
  • references/style-guide.md -- Formatting rules, tone and voice, quality checklist, common mistakes.
  • references/examples.md -- A fully worked board ask.

Inputs

Collect from the user. If critical inputs are missing, ask before generating. For non-critical gaps, insert bracketed placeholders like [INSERT Q3 REVENUE].

Required:

  • Company name and stage (early-stage / growth-stage / pre-IPO)
  • Reporting period (e.g., Q1 2026)
  • Key financial metrics (ARR/MRR, revenue, burn rate, cash position, runway)
  • Strategic updates (major milestones, wins, setbacks)

Optional: detailed P&L, product roadmap, GTM metrics, hiring plan, customer logos/NPS, competitive changes, specific board asks, prior board deck, cap table, prior-quarter OKRs.

Workflow

  1. Identify the stage (early-stage, growth-stage, or pre-IPO) from user input. See references/stage-templates.md.
  2. Collect and review all provided metrics, updates, and context.
  3. Flag gaps. Ask the user for missing critical data; mark missing non-critical data with [PLACEHOLDER] notation.
  4. If the user provides a prior board deck, read it first to maintain continuity in metric tracking, formatting, and narrative threads.
  5. Build the full document following the section order in references/document-structure.md, applying the stage-appropriate emphasis from references/stage-templates.md.
  6. Populate every table, narrative, and analysis using provided inputs.
  7. Add analysis: explain what numbers mean, why they changed, and what to do about them. Do not just report.
  8. Draft board asks with options, management recommendation, specific request, and timeline. See references/examples.md.
  9. Apply formatting and tone from references/style-guide.md; run the quality checklist there before finalizing.
  10. Write the completed deck to board-deck.md in the current working directory (or a user-specified path). Confirm the file path after writing.

Read the full file on GitHub · 43 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 43 lines · 70 tokens per session scan A 3a0e62b9839e

Subscribe to this mod's changes

board-deck-generator is a skill published in the GitHub repository OneWave-AI/claude-skills (288 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 623 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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