Perc Prompt Perception
---
id: perc_prompt_perception
name: Prompt Perception
domain: perception
skill_type: cognitive
difficulty_level: intermediate
human_review_required: often
model_relevance:
llm: critical
slm: high
agent: critical
world_model: low
---
# Prompt Perception
## Summary
Prompt Perception within perception for reliable production cognition.
## Definition
Prompt Perception is the capability to perform perception tasks with bounded, auditable behavior in enterprise workflows.
## Inputs
- task context
- current state
- policy constraints
## Outputs
- skill outcome
- trace evidence
## Required Capabilities
- state interpretation
- bounded execution
- result traceability
## Failure Modes
- state misread leading to wrong action
- insufficient verification before completion
## Evaluation Questions
- What evidence supports this outcome?
- What should be verified before action?
- What assumptions were made?
## Evaluation Signals
- accuracy against expected outcome
- consistency across repeated runs
- audit trace completeness
## Example Tasks
- Apply prompt perception in an enterprise workflow
## Related Skills
- perc_environmental_state_tracking
- grd_retrieval_augmented_grounding
## Source Patterns
- runbooks
- tickets
- policies
- knowledge pageswhen to use it
Community prompt sourced from the open-source GitHub repo eli-labz/Cognitive-Core-Skills (MIT). A "Perc Prompt Perception" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
productivitycommunitydeveloper
source
eli-labz/Cognitive-Core-Skills · MIT
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