mega-eval-competitive
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- MIT
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- 2026-10-11
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03 SKILL.md 正文
../../../../skills/mega-eval-competitive/SKILL.md
04 同仓库更多 Skills
mega-eval-synthesis
Phase 2 only: synthesize phase1a/1b/1c raw outputs into phase2-synthesis.md (critical fixes, design issues, next steps); merges phase1d-design-raw.md when present. Use when Phase 1 is done and you want 'mega eval synthesis only', 'merge critique competitive strengths', or judgment-heavy synthesis without Phase 3–4.
mega-eval-strengths
Phase 1C only: strengths and opportunities analysis from an Evaluation Brief, output phase1c-strengths-raw.md. Use for 'mega eval strengths only', 'upside analysis', 'growth angles without critique track', or Phase 1C standalone.
mega-eval-security
Phase 1E only: observation-only security posture audit from an Evaluation Brief + primary HTTPS URL, output phase1e-security-raw.md. Use for 'mega eval security audit', 'security posture for eval', or Phase 1E without the full mega-eval pipeline.
mega-eval-prompt-derivation
Decompose any user request into a structured Prompt Derivation Engine spec — a JSON object that captures intent, task type, context, output contract, instructions, eval checks, and execution plan. Use this skill when you need to convert a vague or complex request into a precise, schema-validated prompt blueprint before execution. Trigger on: 'derive a prompt for', 'prompt spec', 'decompose this request', 'prompt derivation', 'structured prompt', 'prompt blueprint', or when an upstream orchestrator needs a machine-readable task breakdown.
mega-eval-hater
Phase 1A only: 12-persona critical feedback (hater mode) from an Evaluation Brief, output phase1a-hater-raw.md. Use for 'mega eval hater only', 'roast this product', '12 lens critique', 'adversarial feedback without full eval', or competitive run of Phase 1A alone.
mega-eval-durability
Phase 1F only: AI/agent durability audit from an Evaluation Brief + primary HTTPS URL, output phase1f-durability-raw.md. Use for 'mega eval durability audit', 'AI resilience for eval', or Phase 1F without the full mega-eval pipeline.