AI & Machine Learning

Long Horizon Prompting

This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting outcomes, set persistence rules with explicit stop and return conditions and effort floors, manage a diverse portfolio of parallel approaches with an approach registry and blocked-route bookkeeping, and gate the return on adversarial audit. Route agent topology and coordination protocols to multi-agent-patterns, runtime control surfaces and loop governance to harness-engineering, evaluator and quality-gate construction to evaluation, judge design to advanced-evaluation, and compaction or memory mechanics to context-compression and memory-systems.

Publisher / source
muratcankoylan/Agent-Skills-for-Context-Engineering (found on GitHub top repositories)
Upstream record
muratcankoylan/Agent-Skills-for-Context-Engineering
Version
Version 1
Published
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Approved for publication
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63c5a2a26b007399a0c83916e228bd0b5596db978da1211c0270dfd811e08b59