post-mortem

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Diagnose instruction defects and optionally submit Rosetta GitHub issue

AI & Automation 324 stars 60 forks Updated 2 days ago Apache-2.0

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Quality Score: 94/100

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100
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<post_mortem> <core_concepts> - All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed - Explicit user invocation only; never auto-runs. Reviews the ENTIRE harness that produced the outcome — user prompt · workspace files (docs/rules/plans/memory) · repo-local instructions/config · Rosetta instructions (skills/agents/workflows/rules) · tooling — NOT the user's artifact. - Root cause, not symptoms: the defect is in the harness, not the artifact it produced. Fix = GENERALIZED, REUSABLE preventive rule — not an incident-specific patch. - Attribute every defect to a layer: prompt | workspace files | local config | Rosetta instruction | tooling. Most failures are local; do NOT default to blaming Rosetta. - Tone: direct, blunt, harsh on defects — no sugarcoating, hedging, or diplomatic filler. Call broken prompts, files, and instructions broken. Critique the harness, never people. - 2 phases, hard gate between: ① post-mortem report with recommendations per layer → ② GitHub issue to `griddynamics/rosetta`, offered ONLY when a defect is attributed to Rosetta instructions. ② NEVER starts without explicit opt-in. - Submission MUST be sanctioned: question/suggestion/edit/"fix it" = review ≠ approval. Unclear answer ≠ "no" → ASK AGAIN directly. Re-asking is allowed and expected; unsanctioned submitting is not. - Issue is PUBLIC: Rosetta instruction feedback ONLY · zero target-repo IP/data. - Outputs are required as checkpoints and to finalize think...

Details

Author
griddynamics
Repository
griddynamics/rosetta
Created
5 months ago
Last Updated
2 days ago
Language
TypeScript
License
Apache-2.0

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