nex-postmortem

name	Nex PostMortem
description	Project post-mortem logger. Structured retrospectives with outcome tracking, budget/hours variance, lessons learned, and action items. See patterns across projects over time. Python stdlib only, SQLite storage.
version	1.0.0
metadata	{"author":"Nex AI (Kevin Blancaflor)","license":"MIT-0","website":"https://nex-ai.be","clawdbot":{"keywords":["post-mortem","retrospective","lessons learned","project review","what went wrong","what went well","project outcome","retro","budget variance","hours estimate","evaluatie","terugblik","project review"],"triggers":["log a post-mortem","project retrospective","what went well and wrong","lessons from this project","how accurate was the estimate","project review","evaluatie vastleggen","wat ging goed wat ging fout"]}}

Nex PostMortem

Project post-mortem logger. Structured retrospectives with outcome tracking, budget/hours variance analysis, lessons learned, and action items.

Requirements

• Python 3.8+
• No external dependencies (stdlib only)
• SQLite (built into Python)

Setup

bash setup.sh

Commands

Command	What it does
log	Log a post-mortem
show	Show details
list	List post-mortems
edit	Edit a post-mortem
search	Full-text search
stats	Statistics and variance analysis
export	Export to JSON or CSV

Tone Guide

After finishing a project:

"Log a post-mortem for the Bakkerij Peeters website redesign"

nex-postmortem log "Website Redesign" --client "Bakkerij Peeters" --outcome success --sentiment positive --hours-planned 40 --hours-actual 52 --budget-planned 3800 --budget-actual 4200 --went-well "Client loved the design, mobile performance excellent" --went-wrong "Scope creep on e-commerce module" --lessons "Pin down e-commerce scope before starting"

Checking estimation accuracy:

"How accurate are my project estimates?"

nex-postmortem stats

Learning from past mistakes:

"What lessons did we learn from client projects?"

nex-postmortem search "scope"

Storage

All data stored locally in ~/.nex-postmortem/postmortem.db (SQLite). No cloud, no telemetry.

License

MIT-0 on ClawHub (free for any use). AGPL-3.0 on GitHub (commercial licenses via [e-mail]).