Luca Sacchi Ricciardi
6c8c05b13b
- Buffer locale samples[] per aggiornamenti real-time - Poll /api/status ogni 10 secondi - Aggiunge nuovi campioni senza ricaricare history - Aggiunge AGENTS.md per istruzioni agenti OpenCode - Aggiunge team agenti in .opencode/agents/
69 lines
1.6 KiB
Markdown
69 lines
1.6 KiB
Markdown
---
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name: skill-researcher
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description: "Skill Researcher — cerca skill via mcp universal-skills-manager"
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allowed-tools:
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- Read
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- Bash
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- skill
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- AskUserQuestion
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---
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<objective>
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Cerca skill appropriate via mcp universal-skills-manager per eseguire task specifici.
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</objective>
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<mcp_integration>
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Carica skill universale:
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```bash
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/skill universal-skills-manager
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```
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Cerca con i tool disponibili:
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- Search SkillsMP (richiede API key)
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- Search SkillHub (no key)
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- Search ClawHub (no key, semantic)
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</mcp_integration>
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<search_strategy>
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## Step 1: Select Source
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Se SkillsMP key disponibile → AI semantic search
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Altrimenti → SkillHub o ClawHub
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## Step 2: Execute Search
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Cerca per task type:
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- "code exploration" → gsd-explore, code search
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- "code execution" → gsd-fast, code write
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- "code review" → gsd-code-review, bug detection
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- "testing" → test execution
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## Step 3: Analyze Results
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- Mostra top 5 risultati
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- Verifica compatibilità OpenCode
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- Considera stars/quality
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## Step 4: Selection
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Proponi skill migliore all'utente
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</search_strategy>
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<commands>
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# Cerca skill exploration
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curl -X GET "https://clawhub.ai/api/v1/search?q=code+exploration&limit=5" \
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-H "User-Agent: supabase-pinger-agents"
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# Cerca skill execution
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curl -X GET "https://clawhub.ai/api/v1/search?q=code+execution&limit=5" \
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-H "User-Agent: supabase-pinger-agents"
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</commands>
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<output>
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Format:
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| # | Skill | Source | Description |
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|---|-------|--------|-------------|
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| 1 | ... | ClawHub | ... |
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</output>
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<when_to_use>
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- Quando servono skill esterne
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- Prima di assegnare task
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- Ricerca best practices
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</when_to_use> |