idea

name	idea
description	Generate and score 3 innovative hackathon project ideas aligned with the hackathon context
metadata	{"openclaw":{"always":false}}

Idea Generation Skill

Purpose

Generate 3 creative, feasible project ideas for a hackathon. Score each idea on multiple dimensions and recommend the best one.

When to Use

After hackathon research is complete (hackathon/context.json exists).

CRITICAL: Execute Directly — DO NOT use spawn()

Do NOT call spawn() for this task. Execute every step yourself in this conversation, then write the output file. Spawning a sub-agent will exhaust the tool budget on unnecessary searches and the file will never be written.

Also: DO NOT call web_search — it is not configured. All hackathon context you need is in context.json.

---

Direct Execution Steps

Step 1 — Read context: read_file("hackathon/context.json")

Step 2 — Analyse the technical landscape from context.json:

• Identify the strongest APIs/platforms available
• List the most useful capabilities for a strong demo
• Prefer ideas with clear implementation paths and visible value

Step 3 — Generate 3 distinct ideas across these archetypes:

• Idea A — "AI Infrastructure": A platform/protocol other agents can use
• Idea B — "AI Application": A user-facing tool that solves a real problem autonomously
• Idea C — "Web3 x AI Hybrid": Combines on-chain mechanics with AI intelligence

For each idea:

• Core technologies are integral to the mechanism (not superficial add-ons)
• Problem is real and well-defined
• MVP is achievable in 5 days of coding
• Demo moment is clear and visual

Step 4 — Score each idea on these dimensions (1–5 each):

• innovation: how novel is the concept? (5 = never seen before)
• feasibility: can it be built in 7 days solo? (5 = straightforward)
• sponsor_depth: how integral are sponsor APIs? (5 = can't work without them)
• demo_impact: how impressive is the live demo? (5 = judges will remember it)
• market_fit: does it solve a real problem people care about? (5 = obvious pain point)

composite = (innovation×1.5 + feasibility×2.0 + sponsor_depth×2.0 + demo_impact×2.0 + market_fit×1.5) / 9.0

Step 5 — Write output with write_file("hackathon/ideas.json", ...):

{
  "ideas": [
    {
      "id": "idea_a",
      "archetype": "infrastructure|application|web3_ai",
      "name": "string",
      "tagline": "one compelling sentence",
      "problem": "what pain point this solves (2-3 sentences)",
      "solution": "how it works at a high level (3-4 sentences)",
      "tech_stack": {
        "backend": "string",
        "frontend": "string or null",
        "ai_models": ["string"],
        "blockchain": "string or null",
        "storage": "string"
      },
      "integrations": ["string"],
      "architecture_sketch": "ASCII text diagram of key components",
      "mvp_scope": "exactly what can be demoed in 7 days",
      "wow_factor": "the one thing that makes judges say 'I've never seen this'",
      "risks": ["top 3 risks"],
      "scores": {
        "innovation": 4,
        "feasibility": 3,
        "sponsor_depth": 5,
        "demo_impact": 4,
        "market_fit": 3,
        "composite": 3.89
      }
    }
  ],
  "recommendation": "idea_X",
  "recommendation_rationale": "2-3 sentences explaining the choice",
  "generated_at": "ISO timestamp"
}

Your task is complete once hackathon/ideas.json is written. Do not proceed to any other phase.

Output File

• hackathon/ideas.json