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Agent Workflows · By aiming-lab

7 skills found.
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1

Diagnoses where an agent failed across runs and turns the findings into new skills, system prompt patches and knowledge entries, using the A-Evolve loop.

aiming-lab/AutoResearchClaw15k—~1.8kAutomated safety check: PassMIT1 mo ago
2

Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.

aiming-lab/AutoResearchClaw15k—~923Automated safety check: PassMIT1 mo ago
3

A skill your agent uses when delegating a subtask to a sub-agent, spawning a parallel worker, or handing off work across sessions.

aiming-lab/MetaClaw3.5k—~258Automated safety check: PassMIT4 mo ago
4

Use this skill in long conversations or multi-turn agentic sessions where context may be lost or the conversation is approaching token limits.

aiming-lab/MetaClaw3.5k—~250Automated safety check: PassMIT4 mo ago
5

A skill your agent uses when the user's request is ambiguous, under-specified, or could be interpreted in multiple ways.

aiming-lab/MetaClaw3.5k—~216Automated safety check: PassMIT4 mo ago
6

A skill your agent uses when a user presents a large, vague goal.

aiming-lab/MetaClaw3.5k—~185Automated safety check: PassMIT4 mo ago
7

Common mistake — proceeding with assumptions about ambiguous requirements instead of asking a clarifying question first.

aiming-lab/MetaClaw3.5k—~214Automated safety check: PassMIT4 mo ago