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Get Started Free →majiayu000/Predictive Skill Loading
Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates
Passed 22 of 24 test cases with the skill, and 6 of 24 without it.
and 33 more in the full report
16 fixed6 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 16 test cases the skill fixed. Same model, same prompt, with and without the skill.
A query against recorded task patterns returns a top match with a similarity score of 96%. What loading strategy and timing tier applies to this exact match scenario?
| Checked | Without skill | With skill |
|---|---|---|
| Classifies 96% similarity as an exact match tier. | Passed | Passed |
| Specifies a load timing target of 100ms. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill enables the autonomous agent to predict and pre-load the optimal set of skills before task execution begins, dramatically reducing load time from 3-5 seconds to 100-200ms and token usage by 87%.
Generate unique fingerprints from task characteristics:
Task Features:
- Type (refactoring, testing, security, etc.)
- Context keywords (auth, database, API, etc.)
- Language (Python, JavaScript, TypeScript, etc.)
- Framework (React, FastAPI, Django, etc.)
- Complexity (low, medium, high)
Fingerprint Example:
"type:refactoring|lang:python|fw:fastapi|complexity:medium|kw:auth|kw:database"
Similarity Calculation:
Similarity Score =
Type Match (35%) +
Language Match (25%) +
Framework Match (20%) +
Complexity Match (10%) +
test cases passed, vs 6 / 24 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.