Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Assembles comprehensive board and investor update decks by pulling perspectives from all C-suite roles. Use when preparing board meetings, investor updates, quarterly business reviews, or fundraising narratives. Covers structure, narrative framework, bad news delivery, and common mistakes.
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Attribution: Sourced from alirezarezvani/claude-skills by Alireza Rezvani.
Build board decks that tell a story — not just show data. Every section has an owner, a narrative, and a "so what."
board deck, investor update, board meeting, board pack, investor relations, quarterly review, board presentation, fundraising deck, investor deck, board narrative, QBR, quarterly business review
/board-deck [quarterly|monthly|fundraising] [stage: seed|seriesA|seriesB]
Provide available metrics. The builder fills gaps with explicit placeholders — never invents numbers.
Every section follows: Headline → Data → Narrative → Ask/Next
3 sentences. No more.
Bad: "We had a good quarter with lots of progress across all areas." Good: "We closed Q3 at $2.4M ARR (+22% QoQ), signed our largest enterprise contract, and enter Q4 with 14-month runway. The strategic shift to mid-market is working — ACV up 40% and sales cycle down 3 weeks. Q4 priority: close the $3M Series A and hit $2.8M ARR."
6-8 metrics max. Use a table.
| Metric | This Period | Last Period | Target | Status |
|---|---|---|---|---|
| ARR | $2.4M | $1.97M | $2.3M | ✅ |
| MoM growth | 8.1% | 7.2% | 7.5% | ✅ |
| Burn multiple | 1.8x | 2.1x | <2x | ✅ |
| NRR | 112% | 108% | >110% | ✅ |
| CAC payback | 11 months | 14 months | <12 months | ✅ |
| Headcount | 24 | 21 | 25 | 🟡 |
Pick metrics the board actually tracks. Swap out anything they've said they don't care about.
One sentence on each variance. Boards hate "revenue was below target" with no explanation. Say why.
The forecast must have a confidence level. "We expect $2.8M" is weak. "High confidence $2.6M, upside to $2.9M if two late-stage deals close" is useful.
No feature lists. Only features with evidence of user impact.
Keep this short unless there's a material issue. Boards don't need sprint details.
The "asks" slide is the most important. Be specific. "We'd like 3 warm introductions to CFOs at Series B companies" beats "any help would be appreciated."
Boards see 10+ decks per quarter. Yours needs a through-line.
The 4-Act Structure:
This works for good news AND bad news. It's credible because it acknowledges reality.
Opening frame: Start with the one thing that matters most — the board should know the key message by slide 3, not slide 30.
Never bury it. Boards find out eventually. Finding out late makes it worse.
Framework:
What NOT to do:
| Mistake | Fix |
|---|---|
| Too many slides (>25) | Cut ruthlessly — if you can't explain it in the room, the slide is wrong |
| Metrics without targets | Every metric needs a target and a status |
| No narrative | Data without story forces boards to draw their own conclusions |
| Burying bad news | Lead with it, own it, fix it |
| Vague asks | Specific, actionable, person-assigned asks only |
| No variance explanation | Every gap from target needs one-sentence cause |
| Stale appendix | Appendix is only useful if it's current |
| Designing for the reader, not the room | Decks are presented — they must work spoken aloud |
Quarterly (standard): Full deck, all sections, 20-30 slides. Sent 48 hours in advance.
Monthly (for early-stage): Condensed — metrics dashboard, financials, pipeline, top risks. 8-12 slides.
Fundraising: Opens with market/vision, closes with ask. See references/deck-frameworks.md for Sequoia format.
references/deck-frameworks.md — SaaS board pack format, Sequoia structure, investor tailoringtemplates/board-deck-template.md — fill-in template for complete board decksまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
日本語の概要は準備中です。原文の説明を表示しています。