Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Launch background Clawdbot sessions to explore and analyze business ideas. Say 'Idea: [description]' to trigger. Fork of 'idea' skill rewritten to use sessions_spawn instead of claude CLI + tmux + telegram CLI. Results sent to current chat, not Saved Messages. Zero external dependencies.
Launch background Clawdbot sessions to explore and analyze business ideas. Say 'Idea: [description]' to trigger. Fork of 'idea' skill rewritten to use sessions_spawn instead of claude CLI + tmux + telegram CLI. Results sent to current chat, not Saved Messages. Zero external dependencies.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Launch autonomous background sessions to explore business ideas in depth. Get market research, technical analysis, GTM strategy, and actionable recommendationsβall using built-in Clawdbot features.
Trigger phrase: Say Idea: [description] and the assistant will: Spawn a background sub-agent session using sessions_spawn Research and analyze the idea comprehensively Save results to ~/clawd/ideas/<slug>/research.md Send the file + summary back to this Telegram chat
User: "Idea: AI calendar assistant" β βββββββββββββββββββββββββββββββββββ β 1. Detect "Idea:" trigger β β 2. sessions_spawn background β β 3. Sub-agent researches β β 4. Writes research.md β β 5. Returns to main chat β β 6. Sends file + summary β βββββββββββββββββββββββββββββββββββ
Clawdbot with sessions_spawn enabled No external CLIs needed (fully native)
The exploration covers: Core Concept Analysis - Problem, assumptions, uniqueness Market Research - Users, TAM/SAM/SOM, competitors Technical Implementation - Stack, MVP scope, challenges Business Model - Revenue, pricing, unit economics Go-to-Market Strategy - Launch, acquisition, partnerships Risks & Challenges - Technical, competitive, regulatory Verdict & Recommendations - Clear yes/no with action plan
π’ STRONG YES - Clear opportunity, pursue aggressively π‘ CONDITIONAL YES - Promising but needs validation π PIVOT RECOMMENDED - Core insight good, execution needs work π΄ PASS - Too many red flags
~/clawd/ideas/ai-calendar-assistant/ βββ metadata.txt βββ research.md # 400-500 line comprehensive analysis
Ideas typically take 3-5 minutes to analyze Check session progress: clawdbot sessions list --kinds spawn Monitor sub-agent: clawdbot sessions history <session-key> Results come back to the same chat automatically
When spawning the sub-agent, replace these in the prompt template: {IDEA_DESCRIPTION}: The actual idea text {IDEA_SLUG}: URL-friendly version (e.g., "ai-powered-calendar")
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.