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Strict session reviews for power users collaborating with AI.
Run /score at the end of a working session to get:
- a strict review across 8 collaboration dimensions
- a deterministic total with caps for weak evidence and low-complexity sessions
- a blunt Why It Is Not Higher section
- one concrete next-session drill
Run /draft before sending a prompt — give it your intent or a rough draft, get back a stronger, paste-ready version with an explanation of what changed.
One-liner (any agent):
Read https://raw.githubusercontent.com/Explainix/promptiq/main/install.md and follow the instructions to install PromptIQ.
/plugin marketplace add Explainix/promptiq
/plugin install promptiq@explainix
/reload-plugins
Or from the terminal:
claude plugin install promptiq@explainixThen type /score at the end of any session.
git clone https://github.com/Explainix/promptiq ~/.codex/skills/promptiqThen type /score at the end of any session.
- Work through a real session.
- Run
/score. - Read Why It Is Not Higher before looking at the total.
- Apply the Next Session Drill next time.
- Run
/draftbefore your next prompt to write it stronger from the start.
- Frequent Claude Code / Codex users who want sharper steering habits
- People who want calibrated feedback, not softer praise
- Anyone who suspects their prompts are vague but can't see where
Not for trivial one-liner sessions or generic personality tests.
The local engine handles N/A filtering, total calculation, score caps, confidence, and trend tracking. The model judges the session — the engine makes the result strict and stable.
Calibration rules:
- short, low-complexity, or low-confidence sessions are capped
- scores above 7.5 require evidence
- scores above 8.5 are intentionally rare
- examples/sample-report.md — representative
/scorereport - examples/draft-sample.md — representative
/draftresult
History is stored locally at ~/.promptiq/history.json. PromptIQ does not upload it.
python3 -m unittest discover -s tests -v
python skills/score/scripts/promptiq.py doctorMIT