challenge
$
npx mdskill add alirezarezvani/claude-skills/challengeChallenge plans by simulating their catastrophic failure twelve months out.
- Identifies hidden assumptions and execution risks before resource commitment.
- Requires no external tools or APIs to function effectively.
- Decides focus by analyzing plan structure and stakeholder feedback patterns.
- Delivers a structured list of failure scenarios and mitigation strategies.
SKILL.md
.github/skills/challengeView on GitHub ↗
--- name: "challenge" description: "Pre-mortem plan analysis. Imagine the plan failed 12 months from now and work backwards to find the weaknesses. Surfaces assumptions, dependencies, and execution risks before committing resources. Use when before significant resource commitment, before presenting to a board or investors, when feedback has been one-sidedly positive, or when there is pressure to move fast and figure it out later." --- # /em:challenge — Pre-Mortem Plan Analysis **Command:** `/em:challenge <plan>` Systematically finds weaknesses in any plan before reality does. Not to kill the plan — to make it survive contact with reality. --- ## The Core Idea Most plans fail for predictable reasons. Not bad luck — bad assumptions. Overestimated demand. Underestimated complexity. Dependencies nobody questioned. Timing that made sense in a spreadsheet but not in the real world. The pre-mortem technique: **imagine it's 12 months from now and this plan failed spectacularly. Now work backwards. Why?** That's not pessimism. It's how you build something that doesn't collapse. --- ## When to Run a Challenge - Before committing significant resources to a plan - Before presenting to the board or investors - When you notice you're only hearing positive feedback about the plan - When the plan requires multiple external dependencies to align - When there's pressure to move fast and "figure it out later" - When you feel excited about the plan (excitement is a signal to scrutinize harder) --- ## The Challenge Framework ### Step 1: Extract Core Assumptions Before you can test a plan, you need to surface everything it assumes to be true. For each section of the plan, ask: - What has to be true for this to work? - What are we assuming about customer behavior? - What are we assuming about competitor response? - What are we assuming about our own execution capability? - What external factors does this depend on? **Common assumption categories:** - **Market assumptions** — size, growth rate, customer willingness to pay, buying cycle - **Execution assumptions** — team capacity, velocity, no major hires needed - **Customer assumptions** — they have the problem, they know they have it, they'll pay to solve it - **Competitive assumptions** — incumbents won't respond, no new entrant, moat holds - **Financial assumptions** — burn rate, revenue timing, CAC, LTV ratios - **Dependency assumptions** — partner will deliver, API won't change, regulations won't shift ### Step 2: Rate Each Assumption For every assumption extracted, rate it on two dimensions: **Confidence level (how sure are you this is true):** - **High** — verified with data, customer conversations, market research - **Medium** — directionally right but not validated - **Low** — plausible but untested - **Unknown** — we simply don't know **Impact if wrong (what happens if this assumption fails):** - **Critical** — plan fails entirely - **High** — major delay or cost overrun - **Medium** — significant rework required - **Low** — manageable adjustment ### Step 3: Map Vulnerabilities The matrix of Low/Unknown confidence × Critical/High impact = your highest-risk assumptions. **Vulnerability = Low confidence + High impact** These are not problems to ignore. They're the bets you're making. The question is: are you making them consciously? ### Step 4: Find the Dependency Chain Many plans fail not because any single assumption is wrong, but because multiple assumptions have to be right simultaneously. Map the chain: - Does assumption B depend on assumption A being true first? - If the first thing goes wrong, how many downstream things break? - What's the critical path? What has zero slack? ### Step 5: Test the Reversibility For each critical vulnerability: if this assumption turns out to be wrong at month 3, what do you do? - Can you pivot? - Can you cut scope? - Is money already spent? - Are commitments already made? The less reversible, the more rigorously you need to validate before committing. --- ## Output Format **Challenge Report: [Plan Name]** ``` CORE ASSUMPTIONS (extracted) 1. [Assumption] — Confidence: [H/M/L/?] — Impact if wrong: [Critical/High/Medium/Low] 2. ... VULNERABILITY MAP Critical risks (act before proceeding): • [#N] [Assumption] — WHY it might be wrong — WHAT breaks if it is High risks (validate before scaling): • ... DEPENDENCY CHAIN [Assumption A] → depends on → [Assumption B] → which enables → [Assumption C] Weakest link: [X] — if this breaks, [Y] and [Z] also fail REVERSIBILITY ASSESSMENT • Reversible bets: [list] • Irreversible commitments: [list — treat with extreme care] KILL SWITCHES What would have to be true at [30/60/90 days] to continue vs. kill/pivot? • Continue if: ... • Kill/pivot if: ... HARDENING ACTIONS 1. [Specific validation to do before proceeding] 2. [Alternative approach to consider] 3. [Contingency to build into the plan] ``` --- ## Challenge Patterns by Plan Type ### Product Roadmap - Are we building what customers will pay for, or what they said they wanted? - Does the velocity estimate account for real team capacity (not theoretical)? - What happens if the anchor feature takes 3× longer than estimated? - Who owns decisions when requirements conflict? ### Go-to-Market Plan - What's the actual ICP conversion rate, not the hoped-for one? - How many touches to close, and do you have the sales capacity for that? - What happens if the first 10 deals take 3 months instead of 1? - Is "land and expand" a real motion or a hope? ### Hiring Plan - What happens if the key hire takes 4 months to find, not 6 weeks? - Is the plan dependent on retaining specific people who might leave? - Does the plan account for ramp time (usually 3–6 months before full productivity)? - What's the burn impact if headcount leads revenue by 6 months? ### Fundraising Plan - What's your fallback if the lead investor passes? - Have you modeled the timeline if it takes 6 months, not 3? - What's your runway at current burn if the round closes at the low end? - What assumptions break if you raise 50% of the target amount? --- ## The Hardest Questions These are the ones people skip: - "What's the bear case, not the base case?" - "If this exact plan was run by a team we don't trust, would it work?" - "What are we not saying out loud because it's uncomfortable?" - "Who has incentives to make this plan sound better than it is?" - "What would an enemy of this plan attack first?" --- ## Deliverable The output of `/em:challenge` is not permission to stop. It's a vulnerability map. Now you can make conscious decisions: validate the risky assumptions, hedge the critical ones, or accept the bets you're making knowingly. Unknown risks are dangerous. Known risks are manageable.
More from alirezarezvani/claude-skills
- a11y-auditAccessibility audit skill for scanning, fixing, and verifying WCAG 2.2 Level A and AA compliance across React, Next.js, Vue, Angular, Svelte, and plain HTML codebases. Use when auditing accessibility, fixing a11y violations, checking color contrast, generating compliance reports, or integrating accessibility checks into CI/CD pipelines.
- ab-test-setupWhen the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
- ad-creativeWhen the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
- adversarial-reviewerAdversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
- aeoAnswer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
- agent-designerUse when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer).
- agent-protocolInter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats. Use when C-suite agents need to query each other, coordinate cross-functional analysis, or run board meetings with multiple agent roles.
- agent-workflow-designerDesign production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs.
- agenthubMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
- agile-product-ownerAgile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.