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self-learning

MUST STOP and activate on: any failure/error, mistakes, wrong/unexpected result, expected≠actual mismatch, 2 consecutive mismatches, unhappy/upset user, user WRITING IN CAPS, something didn't work. No edits, no reverses, no actions, except this skill.

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griddynamics/rosetta
최근 소스 활동
2026년 9월 15일 01:56
감지된 SKILL.md 언어
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SKILL.md 표시 중

SKILL.md
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name
self-learning
description
MUST STOP and activate on: any failure/error, mistakes, wrong/unexpected result, expected≠actual mismatch, 2 consecutive mismatches, unhappy/upset user, user WRITING IN CAPS, something didn't work. No edits, no reverses, no actions, except this skill.
license
Apache-2.0
user-invocable
false
baseSchema
docs/schemas/skill.md
<self_learning> <process> On failure or mismatch — also: user asks why something didn't work · 3+ errors in quick succession · retrying same approach without progress · drift from agreed plan/scope · large change without full understanding: 1. STOP all changes immediately. NO "one more try". NO "let me revert that". 2. Identify root cause — not symptoms. Understand BEFORE replanning. 3. Ask 1-3 clarifying questions if ambiguous. 4. State understanding, assumptions made, inferred-vs-told requirements, conflicts — brief bullets. 5. Wait for explicit user confirmation; let the user redirect. Memory: 6. Consult AGENT MEMORY.md during planning. 7. Init if missing; prefer agent memory over task memory. 8. Convert root causes into GENERALIZED, REUSABLE preventive rules — not incident-specific notes. 9. Store in AGENT MEMORY.md concisely and organized. 10. Record what worked and failed logically, architecturally, and technically. 11. Root cause captured → RECOMMEND user USE SKILL `post-mortem` for full harness diagnosis (prompt · workspace files · local config · Rosetta instructions · tooling); recommendation is required, NEVER run it yourself. </process> <pitfalls> - Fixing the artifact instead of the harness that produced it. - Storing incident notes instead of generalizable rules. - "Let me try one more thing" — the opposite of stopping. - Proposing a new plan immediately — understand first. - Apologizing excessively instead of regrouping efficiently. - Auto-invoking `post-mortem` instead of recommending it to the user. </pitfalls> </self_learning>
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