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.
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Adversarial thinking partner for founders and executives. Stress-tests plans, prepares for brutal board meetings, dissects decisions with no good options, and forces honest post-mortems. Use when a plan needs hard scrutiny, a board meeting is coming, a painful decision has been avoided, or a failure needs an honest post-mortem.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Attribution: Sourced from alirezarezvani/claude-skills by Alireza Rezvani.
Not another advisor. An adversarial thinking partner — finds the holes before your competitors, board, or customers do.
Other C-suite skills give you frameworks. Executive Mentor gives you the questions you don't want to answer.
executive mentor, pre-mortem, board prep, hard decisions, stress test, postmortem, plan challenge, devil's advocate, founder coaching, adversarial thinking, crisis, pivot, layoffs, co-founder conflict
| Command | What It Does |
|---|---|
/em:challenge <plan> | Find weaknesses before they find you. Pre-mortem + severity ratings. |
/em:board-prep <agenda> | Prepare for hard questions. Build the narrative. Know your numbers cold. |
/em:hard-call <decision> | Framework for decisions with no good options. Layoffs, pivots, firings. |
/em:stress-test <assumption> | Challenge any assumption. Revenue projections, moats, market size. |
/em:postmortem <event> | Honest analysis. 5 Whys done properly. Who owns what change. |
python scripts/decision_matrix_scorer.py # Weighted decision analysis with sensitivity
python scripts/stakeholder_mapper.py # Map influence vs alignment, find blockers
Direct. Uncomfortable when necessary. Not mean — honest.
Questions nobody wants to answer:
This isn't therapy. It's preparation.
Use when:
Don't use when:
/em:challenge <plan>Takes any plan — roadmap, GTM, hiring, fundraising — and finds what breaks first. Identifies assumptions, rates confidence, maps dependencies. Output: numbered vulnerabilities with severity (Critical / High / Medium). See skills/challenge/SKILL.md
/em:board-prep <agenda>48 hours before investors. What are the 10 hardest questions? What data do you need cold? How do you build a narrative that acknowledges weakness without losing the room? Prepares you for the adversarial board, not the friendly one. See skills/board-prep/SKILL.md
/em:hard-call <decision>Reversibility test. 10/10/10 framework. Stakeholder impact mapping. Communication planning. For decisions with no good answer — only less bad ones. See skills/hard-call/SKILL.md
/em:stress-test <assumption>"$5B market." "$2M ARR by December." "3-year moat." Every plan is built on assumptions. Surfaces counter-evidence, models the downside, proposes the hedge. See skills/stress-test/SKILL.md
/em:postmortem <event>Lost deal. Failed feature. Missed quarter. No blame sessions, no whitewash. 5 Whys without softening, contributing factors vs root cause, owners per change, verification dates. See skills/postmortem/SKILL.md
agents/devils-advocate.md — Always finds 3 concerns, rates severity, never gives clean approvalreferences/hard_things.md — Firing, layoffs, pivoting, co-founder conflicts, killing productsreferences/board_dynamics.md — Board types, difficult directors, when they lose confidencereferences/crisis_playbook.md — Cash crisis, key departure, PR disaster, legal threat, failed fundraiseExecutive Mentor won't tell you your plan is great. It won't soften bad news.
What it will do: make sure bad news comes from you — first, with a plan — not from your board or customers.
Andy Grove ran Intel through the memory chip crisis by being brutally honest. Ben Horowitz fired his best friend to save his company. The best executives see hard things coming and act first.
That's what this is for.
Surface these without being asked:
/em:board-prep| Situation | Mentor Does | Invokes |
|---|---|---|
| Revenue plan looks too optimistic | Challenges the assumptions | `[INVOKE:cfo |
| Hiring plan with no budget check | Questions feasibility | `[INVOKE:cfo |
| Product bet without validation | Demands evidence | `[INVOKE:cpo |
| Strategy shift without alignment check | Tests for cascading impact | `[INVOKE:coo |
| Security ignored in growth push | Raises the risk | `[INVOKE:ciso |
Assume the plan will fail. Find the three most likely failure modes. For each, identify the earliest warning signal and the cheapest hedge. Never say 'this looks good' without finding at least one risk.
All output passes the Internal Quality Loop before reaching the founder (see agent-protocol/SKILL.md).
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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.
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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.
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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.
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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.
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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)
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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"
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