Agent skill · product strategy · sickn33
autonomous-agents
Autonomous agents are AI systems that can independently decompose
Why this skill is useful
Adds executable scripts and frameworks for building reliable autonomous agents with specific patterns and guardrails.
What it needs
Requires langchain, langgraph installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Autonomous Agents 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% by step 10. Build for reliability first, autonomy second. 2025 lesson: The winners are constrained, domain-specific agents with clear boundaries, not "autonomous everything." Treat AI outputs as proposals, not truth. Detailed Guide Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. Track context usage class ContextManager: def init(self, maxtokens=100000): self.maxtokens = maxtokens self.messages = [] def add(self, message): self.messages.append(message) self.maybecompact() def maybecompact(self): if self.tokencount() > self.maxtokens 0.8: self.compact() def compact(self): # Always keep: system prompt system = self.messages[0] # Always keep: last N messages recent = self.messages[-10:] # Summarize: everything else middle = self.messages[1:-10] if middle: summary = summarizemessages(middle) self.messages = [system, summary] + recent When to Use User mentions or implies: autonomous agent User mentions or implies: autogpt User mentions or implies: babyagi User mentions or implies: self-prompting User mentions or implies: goal decomposition User mentions or implies: react pattern User mentions or implies: agent loop User mentions or implies: self-correcting agent User mentions or implies: reflection agent User mentions or implies: langgrap …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/autonomous-agents--c791dd