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Compresses verbose responses by removing filler and framing to save 200-400 tokens.
Passed 20 of 22 test cases with the skill, and 19 of 22 without it.
1 fixed19 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A test case the skill fixed. Same model, same prompt, with and without the skill.
Fix a failing pytest test run where active configuration includes `Skill(conserve:action-first-output)`. Provide the fix and single immediate next action required by the override.
| Checked | Without skill | With skill |
|---|---|---|
| Includes a single single-line next action. | Missed | Passed |
The instructions your model reads when the skill loads.
Eliminate response bloat to save 200-400 tokens per response while maintaining clarity.
| Category | Examples | Replacement |
|---|---|---|
| Decorative Emojis | -- | (remove entirely) |
| Filler Words | "just", "simply", "basically", "essentially" | (remove or rephrase) |
| Hedging Language | "might", "could", "perhaps", "potentially", "I think" | Use factual statements |
| Hype Words | "powerful", "amazing", "seamless", "robust", "elegant" | Use precise descriptors |
| Conversational Framing | "Let's dive in", "Now that we've", "Moving forward" | Start with content |
| Transitions | "Furthermore", "Additionally", "In conclusion" | (remove, use structure) |
| Call-to-Action | "Feel free to", "Don't hesitate to", "Let me know if" | (remove from endings) |
| Category | Example | When to Use |
|---|---|---|
| Status Indicators | [pass] [fail] [warn] | In structured output, checklists |
| Technical Precision | Exact error messages | When debugging |
| Safety Warnings | Critical info about data loss | Always preserve |
| Context Setting | Brief necessary background | When user lacks context |
test cases passed, vs 19 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.