원클릭으로
post-mortem
If the task had failures or was inefficient or complex, ALWAYS run this post-mortem.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
If the task had failures or was inefficient or complex, ALWAYS run this post-mortem.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | post-mortem |
| description | If the task had failures or was inefficient or complex, ALWAYS run this post-mortem. |
Run a blameless post-mortem on this conversation so far (post any previous post-mortems) to improve future performance.
List every:
Ignore one-offs. Pick only those that'll likely recur.
For each, document for the user (who may forget the context later), in 1 line each:
Write into ~/Documents/data/agents/post-mortem-${date -u -Iseconds}.md.
Example:
---
task: Verify the WhatsApp scraper using CDP
agent: codex (or copilot or claude)
path: /home/sanand/...
session: session ID
---
- I initially relied too much on ad hoc live scripts.
This was fast, but let to repeated custom scripts, inconsistent metrics across runs, extra time spent distinguishing true parser issues from script-quality issues.
Instead, instruct me to create dedicated verification scripts up-front and prefer it over inline shell heredocs for future CDP validation.
- I added inline JS tests for media before I updated the shared HTML fixture.
This conflicts with the user’s explicit “HTML test set first” request and was less representative than the parser/test surface.
Instead, create a pre-check SKILL.md that enforces a checklist before executing user actions.
- ...
NOTE: The "Instead, ..." changes are:
ALWAYS follow this style when writing Python / JavaScript code
To select, design, annotate, and verify a data visualization (chart, map, or table).
ALWAYS follow this design guide for any front-end work
Use this for non-trivial analysis, design, diagnosis, review, strategy, or judgment. Skip it for simple lookups, mechanical rewrites, and pure tone tasks.
For CloudFlare development, deployment, e.g. Python CloudFlare Workers
Use when creating demos or POCs