qa-iteration

Solid

Assess and improve Primr output quality. Use when the user asks to review, grade, refine, or troubleshoot a report or strategy document.

AI & Automation 3 stars 2 forks Updated 4 days ago Apache-2.0

Install

View on GitHub

Quality Score: 80/100

Stars 20%
20
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
46
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# QA Iteration ## Purpose Use this skill after research or strategy generation to evaluate output quality and identify the next corrective action. ## Workflow 1. Read `primr://output/latest` when the user does not specify a path. 2. Run `run_qa` on the concrete report path. 3. Summarize the weakest sections first. 4. If the user wants a different deliverable rather than a rewrite, read `primr://strategies/available`, call `estimate_strategy`, and get approval before `generate_strategy`. ## Operating Rules - Treat QA as a decision aid, not a final verdict. - Prioritize factual gaps, missing citations, and thin strategic interpretation. - Do not recommend regeneration until you can explain what is weak. - Keep the follow-up action specific: rerun research, generate a strategy, or revise the report. ## Example ```text run_qa(report_path="output/exampleco/report.md") ```

Details

Author
blisspixel
Repository
blisspixel/primr
Created
7 months ago
Last Updated
4 days ago
Language
Python
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category