Blum45

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3 common mistakes in AI agents + solutions
brush them off first -> they'll brush you off
so, fix upfront:
1. infinite tool call - resources drain even without your knowledge
agent calls tool, it fail, restart repeatedly until collapsing (Ralph Loop)
> fix: set limits + timeouts
2. forgets mid-flow - agent has amnesia
agent took a step, forgot previous, lost the point
> fix: Redis/JSON memory store with clear schema
3. silenced errors - disaster pileup
agent gets error, ignores, keeps accumulating errors, crashes.
user has no clue where to find the problem
> fix: audit log every step + roll
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how to сreate OpenClaw skill in 3 min
skills are a key part of a quality AI agent
u can't do without them and custom skills are often essential
safety first: always test locally before production use
1. creating a directory
example (entered in terminal):
| mkdir -p ~/.openclaw/workspace/skills/skill_name
this is where all necessary data for the skill will be stored
2. SKILL·md (instruction for LLM)
the key factor is correctly formulating the essence of desired LLM action
this file uses YAML frontmatter for metadata and Markdown for instructions
important:
> make it executable, specific, and co
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just sold macbook to buy another dip
headphones and desk are next
got any smarter ways to survive this market?
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