By name: no-trajectory-analyzer description: When the execution trajectory is empty or missing, this skill provides a fallback analysis to identify potential missing data, suggest common skill patterns, and generate placeholder metadata for review.
Instructions
This skill activates when the trajectory array provided to the agent is empty ([]). Its purpose is to handle this specific error state by analyzing the context to understand why the trajectory is missing and to generate actionable, structured output for the user or a downstream process.
1. Analyze the Request Context
Examine the user's request and the broader conversation context to hypothesize why a trajectory might be missing. Consider these common scenarios:
- New Skill Request: The user is asking for a brand new skill to be created from a description.
- Data Error: The trajectory data failed to load or was corrupted.
- Ambiguous Instruction: The user's request was too vague to generate a concrete execution path.
- Tool Failure: A previous step that should have produced a trajectory did not execute correctly.
Output a brief, clear hypothesis as the first part of your response.
2. Generate Diagnostic & Suggestions
Based on your hypothesis, provide structured suggestions. Use the bundled generate_placeholder.py script to ensure consistent formatting.
- Run the script with the skill name and description from the request (or use defaults if not provided).
- Integrate the script's output (a placeholder skill structure) into your response.
- Append a "Next Steps" section with 2-3 specific, actionable recommendations for the user (e.g., "Please provide an example execution trajectory," "Clarify the skill's primary action," "Verify the data source for the trajectory.").
3. Present Final Output
Structure your final response as follows: