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Guide to analyze a current work session and propose improvements to skills. Use (1) automatically after working with a skill to capture learnings, (2) when the user suggests improvements, corrections, or additions during a skill-related session, or (3) when the user manually invokes `self-improve`.
Passed 15 of 20 test cases with the skill, and 5 of 20 without it.
and 15 more in the full report
10 fixed6 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
We have two feedback signals that failed quality criteria and were not clarified. Offer to save these unresolved signals for lease-analyzer.
| Checked | Without skill | With skill |
|---|---|---|
| Offers to save unprocessed observations with reasons why they were insufficient | Passed | Passed |
| Appends approved observations to skills/lease-analyzer/OBSERVATIONS.md | Missed | Passed |
The instructions your model reads when the skill loads.
Analyze the current conversation and propose improvements to skills based on corrections, successes, and edge cases discovered during the work session.
self-improve - Analyze session and propose improvementsself-improve [skill-name] - Target a specific skillself-improve on - Enable automatic mode (hook)self-improve off - Disable automatic modeself-improve status - Show automatic mode statusself-improve [skill-name] history - Show modification historyself-improve)If skill name not provided, list available skills from skills/ directory and ask:
Which skill should I analyze for this session?
[List skills found in skills/ directory]
Scan the conversation for signals - moments where the user expressed feedback:
| Signal Type | Examples |
|---|---|
| Correction | "No", "That's not right", "It's missing X", "Always do Y", user rewrites output |
| Success | "Perfect", "Yes", "Exactly", user accepts without changes |
| Edge case | User needed a workaround, skill couldn't handle the request |
For each correction signal, evaluate if it can become a good skill instruction.
test cases passed, vs 5 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.