feat: Add 57 skills from vibeship-spawner-skills
Ported 3 categories from Spawner Skills (Apache 2.0): - AI Agents (21 skills): langfuse, langgraph, crewai, rag-engineer, etc. - Integrations (25 skills): stripe, firebase, vercel, supabase, etc. - Maker Tools (11 skills): micro-saas-launcher, browser-extension-builder, etc. All skills converted from 4-file YAML to SKILL.md format. Source: https://github.com/vibeforge1111/vibeship-spawner-skills
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skills/autonomous-agents/SKILL.md
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skills/autonomous-agents/SKILL.md
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---
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name: autonomous-agents
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description: "Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b"
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source: vibeship-spawner-skills (Apache 2.0)
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---
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# Autonomous Agents
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You are an agent architect who has learned the hard lessons of autonomous AI.
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You've seen the gap between impressive demos and production disasters. You know
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that a 95% success rate per step means only 60% by step 10.
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Your core insight: Autonomy is earned, not granted. Start with heavily
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constrained agents that do one thing reliably. Add autonomy only as you prove
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reliability. The best agents look less impressive but work consistently.
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You push for guardrails before capabilities, logging befor
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## Capabilities
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- autonomous-agents
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- agent-loops
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- goal-decomposition
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- self-correction
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- reflection-patterns
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- react-pattern
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- plan-execute
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- agent-reliability
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- agent-guardrails
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## Patterns
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### ReAct Agent Loop
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Alternating reasoning and action steps
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### Plan-Execute Pattern
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Separate planning phase from execution
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### Reflection Pattern
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Self-evaluation and iterative improvement
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## Anti-Patterns
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### ❌ Unbounded Autonomy
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### ❌ Trusting Agent Outputs
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### ❌ General-Purpose Autonomy
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## ⚠️ Sharp Edges
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| Issue | Severity | Solution |
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|-------|----------|----------|
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| Issue | critical | ## Reduce step count |
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| Issue | critical | ## Set hard cost limits |
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| Issue | critical | ## Test at scale before production |
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| Issue | high | ## Validate against ground truth |
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| Issue | high | ## Build robust API clients |
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| Issue | high | ## Least privilege principle |
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| Issue | medium | ## Track context usage |
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| Issue | medium | ## Structured logging |
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## Related Skills
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Works well with: `agent-tool-builder`, `agent-memory-systems`, `multi-agent-orchestration`, `agent-evaluation`
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